bluuebunny/crossref_metadata_2025_split huggingface dataset:
The socio-digital manifestations of subtitling COVID-19-related clips on social media platforms in Saudi
Arabia
Authors: Altalidi Bandar 
Published: July 2023

Abstract
This paper examines how digital users in the Kingdom of Saudi Arabia responded to the COVID-19 pandemic via
engaging with crisis translation by subtitling COVID-19-related videos. It explores two aspects: (1) how did social media during
the pandemic encourage subtitled videos? and (2) how were these clips distributed and received by social media users? It is argued
that during the pandemic, social media facilitated the production and circulation of user-generated content by both individuals
and institutions to subtitle global news and other genres. To understand the socio-digital dynamics of (fan)subtitling, this
article analyses the subtitled clips posted on Twitter by the Saudi Ministry of Health (MoH) and 17 fansubbers during 2020.
Subtitling is considered crucial in spreading accurate information to KSA people in time for them to take precautions against the
pandemic in 2020. Another relevant factor is the developed technological infrastructure in KSA and the increased digital practice
of Saudi Arabians using social media. Following the analysis of 175 clips from the 17 chosen fansubbers and 255 clips from the
MoH, it was discovered that social media increased the visibility of COVID-19 clips with subtitles. There was an apparent
competition among the fansubbers to accumulate social capital (social media capital), which gave rise to social media fansubbing,
a form of non-professional subtitling produced by social media users. The subtitled clips were accompanied by various digital
parataxis that supports the analysis and examination of social media fansubbing and crisis transition on Twitter1.
“Hope dies – Action begins”
Authors: Morris Hanna E. 
Published: July 2023

Abstract
Drawing upon motifs of death, mass extinction, and predictions of chaos and collapse, the UK-based Extinction Rebellion (XR) demarcates itself as a different kind of environmental movement precisely because it “tells the truth” (in XR’s own words) about the climate crisis during a time of supposed false hope, denial, and delusion. In this paper, I analyze – through a critical discourse analysis (CDA) – how XR’s postnatural visions shape (and limit) the movement’s demands and proposals for change. My analysis reveals how XR’s calls for action are guided by a sense of loss and mourning for a future after nature’s end that are embedded with nostalgic undercurrents of a very particular mode of green nationalism. The potential exclusions and limitations of XR’s green nationalism are explored in this paper.
A hybrid model-based prognostics approach for estimating remaining useful life of rolling bearings
Authors: Li Wei , Deng Linfeng 
Published: July 2023

Abstract
Data-driven machine learning (ML) for rolling bearing remaining useful life (RUL) prediction is a promising method in condition-based maintenance. However, due to the uncertainty of optimal hyperparameter tuning of the ML model, it is very difficult for a data-driven method to accurately predict the RUL of rolling bearings. Aiming to address this problem, this paper proposes a hybrid model-based on continuous wavelet transform (CWT), convolutional neural network (CNN), Bayesian network and long short-term memory network for estimating the remaining usage of rolling bearings lifetime. Firstly, the one-dimensional vibration signal of a bearing is divided into six segments and then it is converted into the corresponding two-dimensional time-frequency feature images via CWT. Secondly, the two-dimensional images are input into the two-dimensional CNN for deep feature extraction in order to obtain a series of one-dimensional feature vectors. Finally, it is input into a Bayesian-optimized long short-term memory model to obtain a prediction of the RUL of the bearing. The effectiveness of the proposed method is verified using bearing data. The verification results show that the proposed method has better prediction accuracy than the other two compared prediction methods, which indicates that the proposed method can effectively extract the bearing fault features and accurately predict the RUL of rolling bearings.
A study of wormhole geometries in symmetric teleparallel gravity
Authors: Saleem Rabia , Israr Aslam M , Bamba Kazuharu 
Published: July 2023

Abstract
In this manuscript, we obtained the exact solutions of asymptotically flat wormhole (WH) geometry in the mechanism of symmetric f(Q) gravity (vanishing curvature and torsion) where Lagrangian is a function of nonmetricity Q. In this scenario, we choose two different types of f(Q) gravity models (logarithmic and exponential) along with the special choice of shape function

b
(
r
)
=

r

exp
(
γ
(
r
−

r

0

)
)

, and red-shift function

ϕ
(
r
)
=

r

0

2
r

. Here, γ affects the radius of curvature of WH. Under this scenario, we explore the viability of the shape function and energy conditions (ECs) of the WH solutions for each model. For both models, we determine the validity regions of ECs under some parameter spaces of the model parameters. The allowed parameter spaces for logarithmic and exponential models are illustrated in tables 1 and 2, respectively. The validity region for the null EC (NEC) represents that WH geometry in chosen f(Q) gravity models is supported by ordinary matter while exotic matter elsewhere. Furthermore, we represent the WH construction by embedding diagrams and shows that the derived WH solutions are stable for the allowed range of model parameters. Finally, it is concluded that such particular modified gravity can give us a more realistic and stable WH geometry.
Design of an agile optical switcher based on a 1D silver plasmonic nanograting filled with a nonlinear Kerr material
Authors: Rashidi Arezou , Hatef Ali 
Published: July 2023

Abstract
In this paper, we investigate the nonlinear optical response characteristics of a metallic nanograting with nonlinear Kerr media within its slits using the finite element method. The proposed nanograting system is illuminated by a nanosecond Gaussian pulse laser under normal incidence and the electric filed pointing across the slits. The results show a perfect linear absorption at resonance wavelength thanks to the coupling of the surface plasmon resonance (SPR) mode and photon cavity mode. We simulate the transient nonlinear absorption variation of the system when the pulse laser is set up at either resonance or off-resonance wavelengths. The results indicate that the unit linear absorption drastically decreases by increasing the laser fluence around the center of the pulse. Interestingly, one can also enhance the weak linear off-resonance absorption to the value of unit by increasing the pulse laser fluence. The higher the laser fluence, the higher the maximum absorption contrast between linear and nonlinear regimes occurs owing to the nonlinear Kerr effect. Indeed, when the laser fluence reaches a critical value, it can excite the Kerr nonlinearity, which changes the coupling strength of SPR mode and the photon cavity mode leading to the absorption adjustment in the nanograting. These properties indicate the possibility of utilizing the proposed nanograting in dual functional absorber and nonabsorber systems, which make it an appropriate candidate for agile optical switching devices.
Quasinormal modes and grey-body factors of regular black holes with a scalar hair from the Effective Field Theory
Authors: Konoplya R.A. 
Published: July 2023

AbstractThe Effective Field Theory (EFT) of perturbations on an arbitrary background geometry with a timelike scalar profile has been recently constructed in the context of scalar-tensor theories. Unlike General Relativity, the regular Hayward metric is realized as an exact background metric in the Effective Field Theory with timelike scalar profile without resorting to special matter field, such as nonlinear electrodynamics. The fundamental quasinormal mode for axial graviational perturbations of this black hole has been considered recently with the help of various methods. Here we make a further step in this direction and find that, unlike the fundamental mode, a few first overtones deviate from their Schwarzschild limit at a much higher rate. This outburst of overtones occurs because the overtones are extremely sensitive to the least change of the near- horizon geometry. The analytical formula for quasinormal modes is obtained in the eikonal regime. In addition, we calculated grey-body factors and showed that the regular Hayward black hole with a scalar hair has a smaller grey-body factor than the Schwarzschild one. Integration of the wave-like equation in the time-domain shows that the power-law tails, following the ring-down phase, are indistinguishable from the Schwarzschild ones at late times.
Effective description of generalized disformal theories
Authors: Takahashi Kazufumi , Minamitsuji Masato , Motohashi Hayato 
Published: July 2023

AbstractGeneralized disformal transformations enable us to construct the generalized disformal Horndeski theories, which form the most general class of ghost-free scalar-tensor theories to this date. We extend the effective field theory (EFT) of cosmological perturbations to incorporate these generalized disformal Horndeski theories. The main difference from the conventional EFT is that our extended EFT involves operators with higher spatial derivatives of the lapse function. Our EFT also accommodates the generalized disformal transformation of U-DHOST theories.
f(T, B) gravity with statistically fitting of H(z)
Authors: Shekh S H , Myrzakulov N , Bouali A , Pradhan A 
Published: July 2023

Abstract
Some recent developments (accelerated expansion) in the Universe cannot be explained by the conventional formulation of general relativity. We apply the recently proposed f(T, B) gravity to investigate the accelerated expansion of the Universe. By parametrizing the Hubble parameter and estimating the best fit values of the model parameters b
0, b
1, and b
2 imposed from Supernovae type Ia, Cosmic Microwave Background, Baryon Acoustic Oscillation, and Hubble data using the Markov Chain Monte Carlo method, we propose a method to determine the precise solutions to the field equations. We then observe that the model appears to be in good agreement with the observations. A change from the deceleration to the acceleration phase of the Universe is shown by the evolution of the deceleration parameter. In addition, we investigate the behavior of the statefinder analysis, equation of state (EoS) parameters, along with the energy conditions. Furthermore, to discuss other cosmological parameters, we consider some well-known f(T, B) gravity models, specifically, f(T, B) = aT

b
+ cB

d
. Lastly, we find that the considered f(T, B) gravity models predict that the present Universe is accelerating and the EoS parameter behaves like the ΛCDM model.
Accelerator-driven photon reference field for replacement of 137Cs γ-ray
Authors: Ishii Junya , Satoh Daisuke , Fujiwara Takeshi , Tanaka Masahito , Kato Masahiro , Kurosawa Tadahiro 
Published: July 2023

Abstract
A transition to a mechanical source for x-ray reference field is desired to replace high-activity Co-60 and Cs-137 gamma-ray sources for enhancing nuclear security and safety management. The National Metrology Institute of Japan (NMIJ) developed a new photon reference field using an electron beam from a linac with energy less than 1 MeV. The effective energy of the photon field is comparable with Cs-137 gamma-ray. The air kerma rate in the reference field was validated by comparing a commercial cavity ionization chamber to the NMIJ standard reference field. The calibration constants were consistent within 0.8% for every relative extended uncertainty (k = 2).
Study on Compensation of Blood Oxygen Sensor’s Ambient Light Based on GA-BP Neural Network
Authors: Zhu Yuxi , Wang Chongyang 
Published: July 2023

Abstract
In order to reduce the interference of ambient light on near-infrared blood oxygen sensors (used to measure oxygen saturation of human tissue or oxygen saturation of circulating blood during Extracorporeal membrane oxygenation treatment) and improve the measurement accuracy of a blood oxygen sensor, a compensation method of ambient light interference is proposed. This method does not need an ambient light sensor or an additional circuit. The interference intensity of ambient light is calculated by changing the light intensity value emitted by the LED in the sensor and combining the light intensity value received by the sensor. The Genetic Algorithms-Back Propagation(GA-BP) neural network is modeled, the detection light intensity value and the ambient light interference evaluation values are taken as the input characteristics, the blood gas analysis true value is taken as the expected output, and the network model is used for prediction. The results show that the accuracy of this method is higher than the traditional fitting results, and the error between the network prediction value and the true value of blood gas analysis is basically within 5%.
Energy Storage Configuration Method for Low-Voltage Distribution Stations Taking Into Account Economy and Power Supply Reliability
Authors: Fu Yu , Fang Yang , Li Wei , Ren Jiakuan , Jiang Fangxiang , Zhang Yang 
Published: July 2023

Abstract
To address the reliance on fossil fuels, a significant number of photovoltaic systems have been integrated into the power grid. This has led to a situation where the locally generated photovoltaic power cannot be consumed on-site, causing an increase in the voltage of the distribution network and potentially exceeding limits. Additionally, this results in an increase in network losses within the distribution network. Energy storage systems have a high degree of versatility and can be utilized to address the issue of misalignment between solar panel output and energy demand due to grid-connection of photovoltaic systems. This is achieved through the system’s quick charging and discharge capabilities, and its ability to control the charging and discharge state.This paper presents models for optimal energy storage allocation in both normal operations and failure situations. It outlines a process for allocating energy storage that balances economic considerations with power supply reliability. To illustrate the effectiveness of the energy storage system in enhancing the distribution network, a practical example is provided in a substation, both under normal and fault conditions.
Design of Clock Synchronization of Base Station by Using 8A34002
Authors: Zhao Qiancheng , Jiang Kai , Wang Shuai , Yu Fan , Xue Haijun , Zhao Xinxin 
Published: July 2023

Abstract
The stability of the entire base station depends on the synchronization of the base station’s clock. The clock synchronization management chip 8A34002 supports SyncE Ethernet and IEEE 1588. In this architecture, the GPS receiver, SSI, and master/slave switching device all emit PPS/TOD signals. PPS/TOD signals are input into the FPGA, which outputs one PPS/TOD signal. The PPS/TOD signal enters 8A34002 in this design scheme, and the DPLL of 8A34002 provides filtering and clock-following output. The 8A34002‘s signal output is used as the system’s clock after processing. The switching chip, X86 main control chip, and BBU base station board are all driven by the system clock, which serves as a reference clock. The 8A34002 uses four DPLLs, one each for the SyncE, PTP, GNSS, and test functions.
Design of the Paw of Wall-Climbing Robot with Spiny and Sensing Function
Authors: Li Rui , Yan Shuang , Zhou Chongchuan , Liu Zhongbang , Shou Mengjie 
Published: July 2023

Abstract
Paws are the key parts for wall-climbing robots to climb on vertical walls. Wall-climbing robots with spiny feet have important application value in the safety monitoring of buildings, bridges, tunnels, and other buildings. Researchers have designed a variety of spiny feet that can bear large weights and have strong adaptability. However, due to the lack of robot grasp state perception, it is difficult to complete the task normally when there are obstacles and complex walls. In this paper, according to the perceptual feedback mode of the foot of the domestic cat when climbing, a kind of paw with a spiny and sensing function is designed. The paw can give real-time feedback of the gripping force, which well copes with the failure of gripping force and helps the wall-climbing robot to cope with uncertain wall environment.
Grid-Connected PV Inverter Control Strategy Based on the Sliding Mode
Authors: Wu Jing-mei , Wang Xiao-ping 
Published: July 2023

Abstract
The Photovoltaic grid-connected inverter is an essential equipment of photovoltaic grid-connected system. Due to the disadvantages of the traditional PI control method for grid-connected photovoltaic inverters, this paper adopts the integral sliding mode variable structure to control grid-connected inverters. Grid inverter DC control mode was introduced in detail in the sliding mode variable structure control strategy. Using Matlab simulation platform to compare and analyze the traditional PI voltage compensation control strategy and sliding mode variable structure control strategy. From the waveform of the simulation output, the current harmonic at the output of the grid-connected inverter is reduced, and the power factor is increased, with the power factor is close to 1. The control precision, robustness and anti-interference ability of grid-connected system are improved. Which proved the feasibility and the superiority of the proposed control strategy.
Power Grid Fault Prediction System Collaborates with Power Supply Guarantee Command Platform for Smart Grid
Authors: Chang Yongzhe , Xiao Xinhang 
Published: July 2023

Abstract
The safe operation of power system is a pretty important part for the whole society and it is influencing everyone’s daily life. As the biggest power operation company, the State Grid Corporation of China has to ensure the normal operation of the power grid. However, the power system can be affected by several issues such as all kinds of extreme weather, aging of equipment, and with rapid development of the national economy and power industry, the electricity loads are becoming complicated and diversified. Due to the reasons above, pressure on the safe operation of the power grid is increasing significantly. In order to guarantee the safety of daily operation for power system, we propose a new system, including a fault predicting part and aftertreatment part. For the predicting part, machine learning technologies are used especially the Hawkes process model, to predict when and what kind of fault may happen, by which failures can be prevented effectively. In the aftertreatment part, a power supply guarantee command platform is established that can send abnormal information to headquarters at the very beginning and then our platform will search for the optimal maintainer intelligently to solve the problem immediately.
RS-Coded Cooperation Scheme Based on 2 × 2 Labeling Diversity
Authors: Chen Chen , Yang Fengfan , Xu Hongjun 
Published: July 2023

Abstract
This paper investigates the novel labeling diversity (LD) technique with two transmit antennas and receive antennas applied in the Reed-Solomon coded cooperative (RSCC) system to propose a novel RSCC-LD scheme over the Rayleigh quasi-static fading and frequency-flat fast-fading channels. Two separate RS codes over the same Galois field are deployed at the source and relay terminals, respectively with the relay RS code providing more extra redundancy. To optimize the use of the information contained in two RS codes, a novel joint decoding approach is developed at the destination terminal. The results of numerical simulation demonstrate that the proposed RSCC-LD has an obviously better performance than the non-cooperative RS coding scheme and RSCC scheme without LD. Furthermore, the performance of the RSCC-LD reveals the superiority of some other existing schemes.
Analysis and Modeling of System Performance Based on Random Matching Errors, Gradient Errors, and Finite Output Impedance of Current-source DAC
Authors: Ma Zhihua , Song Zheng , Yao Yao , Hu Jianguo 
Published: July 2023

Abstract
With the development of communication technology, the performance of digital-to-analog converters as the last link in signal processing is particularly important. This paper analyzes the errors of current rudder DAC and their effect on DAC performance. Different compensation methods are proposed to compensate for or eliminate the errors. Through system modeling, it is concluded that under the conditions of static parameters DNL<0.5LSB, INL<0.5LSB, dynamic parameters SFDR>90dB and SNDR>70dB, the random matching error should be less than 0.001, the gradient error less than 1E-5 and the admittance rate less than 1E-7. The correctness of the theoretical analysis can be verified through system modeling and simulation, providing accurate guidance direction for circuit design and greatly shortening the design cycle.
Research on Wireless Energy Transmission Systems of Coupled Nonlinear Resonator
Authors: Li Zhongkui , Wang Lejun 
Published: July 2023

Abstract
Due to environmental interference, device aging, and the strict requirements for the relative position of the transceiver coil during charging, we always hope that the output voltage and power can remain stable when the transmission distance of the transmitting and receiving coils changes in the largest range possible. However, once the relative position of the transceiver coil of the traditional linear magnetic coupling resonance WPT system changes, that is, when the transmission distance is not optimal, the transmission performance of the system will be seriously degraded. In practical applications, the charging equipment inevitably moves, and the harsh transmission conditions limit the wide application of WPT technology. To solve this problem, based on the nonlinear characteristics presented by the nonlinear Duffing resonance model, this paper proposes to use a reverse series varactor at the receiving end by adjusting the reverse bias voltage of the varactor. This method compensates for the transmission performance attenuation caused by the change of the coupling coefficient of the transceiver coil to maintain a high level of transmission performance when the relative distance between the transceiver coils is as large as possible.
Photo-assisted Cl-, Br- and I- production in caesium sputter ion source
Authors: Hossain A. , Tarvainen O. , Reponen M. , Kronholm R. , Julin J. , Kalvas T. , Toivanen V. , Kivekäs M. , Laitinen M. 
Published: July 2023

Abstract
We have measured the effect of 445 nm, high power diode laser, directed on
the cathode of a SNICS ion source on the extracted beam currents of Cl-, Br- and I- ion
beams. Beam current enhancement factors up to 9 were observed in Cs-depleted operation mode of the
ion source. The photo-assisted enhancement is shown to scale with the laser power and depend
strongly on the neutral Cs flux into the ion source. The effect of the laser diminishes with
increasing Cs oven temperature. We present a qualitative model, supported by cathode current
measurement, arguing that photoelectron emission and Cs coverage of the cathode surface could
explain the observations.