bluuebunny/crossref_metadata_2025_split huggingface dataset:
RF-KELM indoor positioning algorithm based on WiFi RSS fingerprint
Authors: Hou Bingnan , Wang Yanchun 
Published: December 2023

Abstract
WiFi-based fingerprint indoor positioning technology has been widely concerned, but it has been facing the challenge of lack of robustness to signal changes, and the positioning service requires fast and accurate positioning estimation. Therefore, an random forest-kernel extreme learning machine (RF-KELM) positioning algorithm with good comprehensive performance is proposed in this paper. Both offline and online phases are included by this algorithm. In the offline phase, the original data of WiFi fingerprint is first transformed into a form more suitable for positioning. Then, access point (AP) selection is performed on the fingerprint database containing many useless APs, in which an RF which can evaluate the importance of features is used. Finally, the KELM is trained with the sub-database that have undergone data transformation and AP selection. In the online phase, firstly, the obtained signal is processed, and then the trained KELM is used to predict the position of the data processed signal. In this paper, the performance of the proposed RF-KELM positioning algorithm is thoroughly tested on a publicly available dataset, and the experimental results demonstrate that the proposed algorithm not only has high positioning accuracy and robustness, but also takes only 0.08 s to position online.
Density of periodic measures and large deviation principle for generalised mod one transformations
Authors: Shinoda Mao , Yamamoto Kenichiro 
Published: December 2023

Abstract
We introduce a new class of piecewise monotonic maps, called generalised mod one transformations, which include all

(
α
,
β
)

and generalised

β

-transformations, and prove that all transitive generalised mod one transformations with positive topological entropy satisfy the level-2 large deviation principle with a unique measure of maximal entropy. This is obtained by our result on the density of periodic measures for more general class of piecewise mototonic maps, which is a partial answer to the open problem posed by Hofbauer and Raith (1998 Fund. Math.
157 221–34); Raith (www.math.iupui.edu/~mmisiure/open/PR1.pdf).
Miura-reciprocal transformations and localizable Poisson pencils
Authors: Lorenzoni P , Shadrin S , Vitolo R 
Published: December 2023

Abstract
We show that the equivalence classes of deformations of localizable semisimple Poisson pencils of hydrodynamic type with respect to the action of the Miura-reciprocal group contain a local representative and are in one-to-one correspondence with the equivalence classes of deformations of local semisimple Poisson pencils of hydrodynamic type with respect to the action of the Miura group.
A diffusive SIS epidemic model with saturated incidence function in a heterogeneous environment
*
Authors: Gao Daozhou , Lei Chengxia , Peng Rui , Zhang Benben 
Published: December 2023

Abstract
In this paper, we propose a diffusive susceptible-infected-susceptible epidemic model in a spatiotemporally heterogeneous environment. We consider a saturated incidence function of the form

S
I

m
+
S
+
I

, where m is a nonnegative function. When there is a positive disease-induced mortality rate everywhere, we demonstrate that the disease will always become extinct and the susceptible population will stabilize at zero or a positive constant. In the case where the disease-induced mortality rate is negligible, we examine the model in a time-periodic and spatially heterogeneous environment and establish the threshold dynamics between disease extinction and persistence in terms of the basic reproduction number. Under certain conditions, we show the global attractivity of both the disease-free equilibrium and endemic equilibrium by constructing appropriate Lyapunov functions. Moreover, we determine the spatial distribution of the disease when the diffusion rate of the susceptible or infected population (or both) is sufficiently small. Our findings suggest that the presence of a saturation effect reduces the transmission risk, allows for the total population size to have a substantial impact on disease dynamics, and may significantly alter the spatial distribution of the disease under certain circumstances.
ETU-Net: edge enhancement-guided U-Net with transformer for skin lesion segmentation
Authors: Chen Lifang , Li Jiawei , Zou Yunmin , Wang Tao 
Published: December 2023

Abstract

Objective. Convolutional neural network (CNN)-based deep learning algorithms have been widely used in recent years for automatic skin lesion segmentation. However, the limited receptive fields of convolutional architectures hinder their ability to effectively model dependencies between different image ranges. The transformer is often employed in conjunction with CNN to extract both global and local information from images, as it excels at capturing long-range dependencies. However, this method cannot accurately segment skin lesions with blurred boundaries. To overcome this difficulty, we proposed ETU-Net. Approach. ETU-Net, a novel multi-scale architecture, combines edge enhancement, CNN, and transformer. We introduce the concept of edge detection operators into difference convolution, resulting in the design of the edge enhanced convolution block (EC block) and the local transformer block (LT block), which emphasize edge features. To capture the semantic information contained in local features, we propose the multi-scale local attention block (MLA block), which utilizes convolutions with different kernel sizes. Furthermore, to address the boundary uncertainty caused by patch division in the transformer, we introduce a novel global transformer block (GT block), which allows each patch to gather full-size feature information. Main results. Extensive experimental results on three publicly available skin datasets (PH2, ISIC-2017, and ISIC-2018) demonstrate that ETU-Net outperforms state-of-the-art hybrid methods based on CNN and Transformer in terms of segmentation performance. Moreover, ETU-Net exhibits excellent generalization ability in practical segmentation applications on dermatoscopy images contributed by the Wuxi No.2 People’s Hospital. Significance. We propose ETU-Net, a novel multi-scale U-Net model guided by edge enhancement, which can address the challenges posed by complex lesion shapes and ambiguous boundaries in skin lesion segmentation tasks.
Model of opinion dynamics caused by information pressure in multi-agent system with stochastic activation of links
Authors: Savitskaya N E , Fedorova T A 
Published: December 2023

Abstract
The dynamic properties of a modified nonlinear noisy voter model on a square lattice are studied in the paper. The introduced modifications are as follows. First, the changes of the binary variable (opinion) at the voters (agents) are caused by avalanche-like perturbations of the system. Secondly, the structure of inter-agent links is not static. Its temporal evolution is due to a new characteristic of the agent called ‘activity’. It determines the probability for the agent to be linked with its nearest neighbors at a given time moment. In addition we introduce a binary variable that changes randomly in time (an ‘external opinion’). According to the proposed rules for opinion changes, an agent that unlinked to neighbors changes its opinion to a current value of the external opinion, regardless of the opinions of other agents. A linked agent can copy the opinion of its neighbor during an avalanche process. Analytically and numerically, we show that the agents’ ‘activity’ distribution and the time-averaged value of the external opinion completely determines the mode of opinion dynamics. The phase diagram for the model under consideration is obtained. In the case of large values of averaged agents’ ‘activity’ the system switches between two consensus states spending the most of time in the consensus with shared opinion corresponding to the prevailing value of the external opinion. For small value of averaged ‘activity’ the system tends to the state where the opposite opinions coexist, but agents predominate with opinion corresponding to sign of the time-averaged value of the external opinion. We demonstrate that the resulting model reflects the main features of the behavior of real multi-agent systems where the external information inflows into the system and, spreading among agents, drives opinion dynamics.
Singlet quantum phases of the frustrated spin-1/2 ladder with ferromagnetic (F) exchange in legs and alternating F-AF exchange in rungs
Authors: Chatterjee Monalisa , Kumar Manoranjan , Soos Zoltán G 
Published: December 2023

Abstract
Ladders with 2N spins-1/2 and singlet (S = 0) ground states are studied numerically using exact diagonalization and density matrix renormalization group (DMRG) calculations. The curvatures E
″(s) of states with the lowest energy E(s) at spin s = S/N ≤ 1 are obtained in the thermodynamic limit. All states have E
″(s) > 0 in two phases, one with strong F exchange J

F
in rungs, the other with strong F exchange J

L
in legs. The Dimer phase with frustrated F exchanges has one or more states with E
″(s) < 0. All three phases have finite gaps to the lowest triplet state. The ladder at J

F
→ ∞ is adiabatically connected to the spin-1 Heisenberg AF chain, and at J

L
→ ∞ to the J
1 − J
2 model.
Shear horizontal wave dispersion in two phase magneto-electro-elastic material loaded with viscoelastic fluid layer
Authors: Singh Ravindra , Prasad Surendra 
Published: December 2023

Abstract
In the present work, an exact analytical approach has been used to study the dispersive behavior of the shear horizontal (SH) wave in magneto-electro-elastic (MEE) material loaded with a viscoelastic fluid. Complex dispersion equations are derived in the cases of electric short magnetic short (ESMS), electric short magnetic open (ESMO), electric open magnetic short (EOMS), and electric open magnetic open (EOMO) boundary conditions by solving the equilibrium equations of MEE material and the Stokes equation of viscoelastic fluid. To validate the present outcomes, the MEE material is changed into piezoelectric and piezomagnetic materials by taking some theoretical assumptions and the outcomes are matched with preexisting results. Effect of volume fraction, wave frequency, substrate thickness and thickness of the fluid layer on phase velocity and attenuation of SH wave have studied. This study may find its applications in better understanding of the surface acoustic wave devices incorporated with viscoelastic fluid layer.
A 3D simulation model to study all-inorganic CsPbX3 (X = Br and I) perovskites-based light-emitting diodes with different hole-transporting layers
Authors: Mozaffari Samaneh , Ghorashi Seyed Mohammad Bagher 
Published: December 2023

Abstract
The development of numerical models is essential for optimizing perovskite light-emitting diodes (PeLEDs) and explaining their physical mechanism for further efficiency improvement. This study reports, for the first time, on a detailed device modelling of an all-inorganic perovskite LED consisting of CsPbX3 (X = Br and I) as light emitting layer (LEL) with different hole transporting layers (HTLs), employing COMSOL Multiphysics simulation package. Therefore, a 3D simulation model is served to investigate the appropriate HTLs that meet the design requirements of a PeLED in terms of band off-set engineering. For this purpose, a series of all-inorganic halide perovskites with different HTLs such as PEDOT: PSS, CuSCN and MoO3 are simulated under the same theoretical settings, and the performances of LEDs are compared with each other. This is done through studying their electronic properties using current density–voltage (J-V) curves and internal quantum efficiency (IQE) measurements. The results obtained from the J-V curves reveal that all the CsPbBr3-based samples with different HTLs exhibit the same turn-on voltage (V
on) of approximately 4.2 V, while this value increases to 5.8 V for the CsPbI3-based samples. Compared with the PeLEDs based on CsPbI3, the PeLEDs based on CsPbBr3 indicate lower V
on due to the formation of shorter charge carrier injection barriers at their interfaces. Furthermore, among the various simulated structures, the highest IQE is obtained for perovskite CsPbI3-based LED with MoO3 HTL (5.21%). The effect of different parameters on the performance of the proposed configurations are also investigated, and it turns out that the thickness of LELs and lifetime of charge carriers have a decisive role to play in the efficiency of PeLEDs. This theoretical study not only successfully explains the working principle of PeLEDs but also clearly shows researchers how to produce high-performance LEDs in the laboratory by knowing the physical properties of materials and accurately adjusting energy band alignments.
Identification of slow waves in the evolution of KHI near the Venusian ionopause
Authors: Yang Yang , Wang Xiang-Li , Yuan Huaxuanyu , Khan Saleem , Lin Mai-Mai 
Published: December 2023

Abstract
The MHD slow waves in the evolution of Kelvin–Helmholtz instability (KHI) near the Venusian ionopause has been identified by using the magnetohydrodynamics equations. The diagnosis of slow waves utilizes two criteria: the phase speed and the ratio of density oscillation to the velocity oscillation. With the speed of sound greater than Alfvén speed, the phase velocity of slow waves along the initial magnetic field is approximately equal to Alfvén speed. For slow waves, the ratio of the density oscillation to the velocity oscillation along the initial magnetic field is independent of the angle between wave vector and the magnetic field. The data from the side of low-density were analyzed around the KH vortex. The numerical simulation results show that there are slow waves in the induced magnetosphere near the magnetopause of Venus. We also note that during the nonlinear growth stage, the parallel oscillations contribute approximately 76% ∼ 93% to the wave energy. This work will provide more clues that the KHI is a possible source of slow waves observed near Venus-like planets.
The solution of stochastic evolution equation with the fractional derivative
Authors: Duan Yubo , Jiang Yiming , Wei Yawei , Zhou Jie 
Published: December 2023

Abstract
In this paper, we consider the stochastic evolution equation driven by the Gaussian noise with white time and colored space, where the noise coefficient is the Marchaud fractional derivative. The key idea is that we transform our model into a stochastic space-fractional equation by taking the Marchaud fractional derivative, and then use Chaos expansion to prove the mild solution. There are three main results in this paper. First, we apply Chaos expansion to obtain the existence, uniqueness and Lyapunove exponent of the solution of the transformed equation. Second, we prove that there exists an unique mild solution of the original equation, the approach is taking the fractional integral operator into the transformed equation. Finally, we explore Hölder continuity of the mild solution.
Efficacy of argon cold atmospheric pressure plasma jet on hospital surface decontamination and its impact on the surface property
Authors: Das Sarthak , Mishra Biswajit , Mohapatra Sarita , Tripathi Bijay P , Kar Satyananda , Bhatt Satyendra 
Published: December 2023

Abstract
The emergence of antimicrobial resistance has become a major contributor to healthcare-associated infections. Recently, the cold atmospheric pressure plasma jet (CAPJ) discharges have garnered attention of the researchers globally for their novel antimicrobial property. This research evaluated the effectiveness of an in-house developed CAPJ on the inactivation of multidrug-resistant (MDR) E. coli and S. aureus artificially inoculated over stainless steel and aluminium test surfaces. A greater than ∼5 log10 reduction of E. coli, whereas reduction of ∼3.4–4.6 log10 for S. aureus on the test surfaces was achieved on 180 s CAPJ exposure. Extremely low D- values (in the range of ∼27–63 s) were recorded for both isolates. In addition, this study assessed the impact of repeated CAPJ exposure on surface property, by replicating the process of hospital surface decontamination. Surface properties such as wettability, roughness, and elemental composition varied non-linearly on repetitive Ar CAPJ exposure on test surfaces. It was observed that the identified gas-phase species such as excited atoms (Ar I, and O I), positive ions (NO+, O2
+, OH+, O+, N2
+, Ar+, etc), negative ions (N2O2
−, N2O3
−, NO3
−, NO2
−, etc), radical RONS (OH•), and non-radical RONS (O I, NO+, OH+, N2O3
−, NO3
−, NO2
−, etc) would contribute to bacterial load reduction on the test surface along with any alteration in surface characteristic. There may be chemical and physical processes involved in the above activity. This investigation into understanding the effects of CAPJ surface decontamination on surface properties would aid in determining its potential applications in healthcare settings.
Dark matter capture in celestial objects: treatment across kinematic and interaction regimes
Authors: Leane Rebecca K. , Smirnov Juri 
Published: December 2023

Abstract
Signatures of dark matter in celestial objects have become of increasing interest due to their powerful detection prospects. To test any of these signatures, the fundamental quantity needed is the rate in which dark matter is captured by celestial objects. Depending on whether dark matter is light, heavy, or comparable in mass to the celestial-body scattering targets, there are different considerations when calculating the capture rate. Furthermore, if dark matter has strong or weak interactions, the physical behaviour important for capture varies. Using both analytic approximations and simulations, we demonstrate how to treat dark matter capture in a range of celestial objects for arbitrary dark matter mass and interaction strength. We release our calculation framework as a public package available in both Python and Mathematica versions, called Asteria.
Supercooling in radiative symmetry breaking: theory extensions, gravitational wave detection and primordial black holes
Authors: Salvio Alberto 
Published: December 2023

AbstractFirst-order phase transitions, which take place when the symmetries are predominantly broken (and masses are then generated) through radiative corrections, produce observable gravitational waves and primordial black holes. We provide a model-independent approach that is valid for large-enough supercooling to quantitatively describe these phenomena in terms of few parameters, which are computable once the model is specified. The validity of a previously-proposed approach of this sort is extended here to a larger class of theories. Among other things, we identify regions of the parameter space that correspond to the background of gravitational waves recently detected by pulsar timing arrays (NANOGrav, CPTA, EPTA, PPTA) and others that are either excluded by the observing runs of LIGO and Virgo or within the reach of future gravitational wave detectors. Furthermore, we find regions of the parameter space where primordial black holes produced by large over-densities due to such phase transitions can account for dark matter. Finally, it is shown how this model-independent approach can be applied to specific cases, including a phenomenological completion of the Standard Model with right-handed neutrinos and gaugedB - Lundergoing radiative symmetry breaking.
Dynamic Reactive Power Compensation Optimization Strategy for Distribution Networks with Distributed Generators and Energy Storage Systems
Authors: Lv Dongfei , Liu Wenan , Kong Xiangqing , Song Yanshan , Zhang Xingyong , Ma Tao , Zhang Xinsheng , Liu Hongchen 
Published: December 2023

Abstract
To balance the output and load dynamic changes of distributed power generators (DG) and energy storage systems (ESS), a demand-side response-based dynamic reactive power optimization (RPO) strategy for distribution networks (DN) is proposed. This strategy adopts a phased optimization method to coordinate and optimize different types of reactive variables within the same period. By adjusting the states of parallel capacitor banks (SCBs) on load voltage transformers (OLTC), DGs, and ESS inverters, the RPO of the DN is carried out. Based on the characteristics of the model, an improved particle swarm optimization algorithm (IPSO) is used to solve different types of variables, and an IPSO based on tent chaotic mapping and levy flight strategy is proposed to improve the efficiency of collaborative solving. The simulation results show that the proposed strategy, considering the change of new energy output and demand side response, can reduce the solution scale while obtaining high satisfaction RPO results.
Reliability Evaluation and Optimization Configuration Method of Network Distribution Side Energy Storage System Based on Machine Vision
Authors: Hou Wenhao , Gao Qiang , Dong Yuebin , Ying Wei , Lv Linying 
Published: December 2023

Abstract
To reduce the motor power allocation error and improve voltage weak node conditions, this paper designed a reliability evaluation and optimization configuration method for network distribution side energy storage system based on machine vision. Firstly, the abnormal operation parameters of the energy storage system are collected and transmitted on-site. The operational reliability monitoring data of the distribution network side serves as the foundation for designing the operational reliability evaluation algorithm for the energy storage system on the same distribution network side. This algorithm further enables the optimal configuration of the energy storage system. The experimental comparison results demonstrate that upon implementation of the methods of this paper, the motor power allocation error is less, and the lowest is only 0.17 kW. Meanwhile, the fluctuation is relatively flat, and the range is between 0 kW and 0.46 kW. The improvement of weak voltage nodes is good, the voltage load is significantly decreased, and the minimum voltage load is only 5 kW, which proves that the design method of this paper has a certain application value.
A Security-constrained Unit Commitment-based Optimal Battery Usage Pattern Model
Authors: Hu Yaping , Hu Rong , He Yubin , Wen Zhaoxin , Zhang Honglue , Zhu Songming , Zhang Shiling 
Published: December 2023

Abstract
This paper discusses multiple strategies of security-constrained unit commitment (SCUC)-based optimal battery usage pattern models to drive the charging and discharging of different batteries and help the operation cycles satisfy their preferences according to battery characteristics. Previous studies mainly focus on either battery storage integration as a controllable resource into the grid with high penetration of renewable energy, or battery degradation costs as additional terms in the objective function of SCUC. In comparison, this paper first considers whether battery operation cycles satisfy their preferences according to specific battery characteristics. It discusses a full charging/discharging strategy for Ni-Cd batteries, which have a memory effect and prefer deep cycles. Then, the paper explores a shallow cycle strategy for Lithium-ion, lead acid, and Ni-H batteries, which have no memory effect and prefer shallow cycles for long service life. Subsequently, it is extended to a hybrid strategy when batteries with/without memory effects are at the same node. The proposed model minimizes the total operation cost of SCUC while including the penalties for battery usage strategies. The original problem is a mixed integer non-linear programming (MINLP) one, and then it can be mathematically converted into a mixed integer linear programming (MILP) one. Consequently, the models with multiple strategies are tested through IEEE 6-node power system. Computational results show that, compared to the base case without any strategy, the proposed optimal battery usage pattern approaches have an advantage in driving Ni-Cd batteries toward deep cycles, guiding Lithium-ion batteries towards shallow cycles, and improving the flexibility of performance with hybrid applications.