bluuebunny/crossref_metadata_2025_split huggingface dataset:
Viscoelastic properties of electro-rheological fluids containing ion-conductive polyurethane particles under electric field
Authors: Ishii Satoshi , Takahashi Hitomi , Sakai Yoshie 
Published: November 2024

Abstract
A non-hydrous electro-rheological fluid (ERF) containing polyurethane (PU) particles with electrolytes and automotive dampers utilizing it have been developed. In this study, we investigated the influence of electrolytes and particle properties on ER effect (yield stress) leading to improving the ER effect of non-hydrous ERFs. As a result, yield stress was increased by the inclusion of electrolytes to PU particles and decreased by increasing the glass transition point (Tg) of PU. The inclusion of electrolyte in particles doubled the yield stress of ERF at 5 kV mm−1. The change in Tg of PU particles from −26.3 °C to −15.3 °C resulted in a decrease in yield stress by 0.7 times at 5 kV mm−1. According to a theoretical model for calculating the ER effect and experimental data, the ionic conductivity associated with the electrolyte addition and the Tg change contributed to the dielectric constant of the PU particles, which affected the ER effect. This result provides important knowledge for deriving material compositions that can further improve the ER effect.
Enhanced electrorheological activity of rod-like Fe3O4@TiO2 particles in elastomers and their morphological effect
Authors: Niu Chenguang , Fan Yi , Zhao Xinye , Dong Xufeng , Liu Kui , Xiong Xiaoyan 
Published: November 2024

Abstract
The properties of dielectric particles play the most important role in the electrorheological (ER) activity of elastomers, however, there is a lack of experimental research on the effect of particle morphology on the properties of ER elastomers (EREs). In this study, spherical and rod-like Fe3O4@TiO2 core–shell particles were synthesized and used to prepare EREs. Particles characterization results showed that both spherical and rod-like Fe3O4@TiO2 exhibited an obvious core–shell structure and similar magnetic properties, with the aspect ratio of rod-like Fe3O4@TiO2 particles was approximately 7:1. Furthermore, the EREs filled with rod-like Fe3O4@TiO2 particles exhibit a higher dielectric constant and sharper dielectric loss peak than those filled with spherical particles, indicating that a larger aspect ratio enhances the dielectric performance. For EREs with the same volume fraction of particles or cured under the same external field, the storage modulus and relative ER effect of EREs filled with rod-like particles are both higher than those of EREs containing spherical particles. Additionally, it can be confirmed that the rod-like particle chain structures have a more significant strengthening effect on the ERE matrix, as evidenced by the rod-like Fe3O4@TiO2 particle filled elastomers exhibiting lower creep strain.
Simulation of time-invariant three-dimensional Freak waves and their scattering identification based on the JONSWAP spectrum and Donelan direction function
Authors: Wu Geng-Kun , Li Ruo-Yu , Han Li-Chen , Liu Bin 
Published: November 2024

Abstract
Investigations into recent maritime accidents have revealed that a significant number are linked to the impact of freak waves, which possess the potential to capsize vessels rapidly due to their immense energy. In order to detect and predict these freak waves with precision, thereby mitigating the risks they pose to maritime infrastructure and human safety, we have delved deeper into the study of such waves. This paper introduces an effective and time-invariant three-dimensional (3D) computational model for freak waves. The model is designed to analyze the scattering properties of these waves and to provide a clearer understanding of the variations in their scattering behavior. First, this paper adopts linear superposition method to simulate a 3D random rough sea surface based on the JONSWAP wave spectrum and Donelan directional distribution function. Moreover, we analyze the effect of different angular frequencies on the simulated sea surface. At the same time, the Monte Carlo method is used to further simulate the capillary waves based on the random sea surface, and this method vastly improves the computational accuracy of the random sea surface. Then, based on the two-wave train superposition wave energy focusing mode, a numerical calculation method of time-invariant 3D freak waves is proposed, and the time-series evolution process of 3D freak waves is simulated. Finally, the backscattering coefficients of the 3D freak wave surface are calculated using the two-scale method, and the electromagnetic scattering characteristics of the freak wave surface under different evolution stages, wind speeds, and radar incidence angles are analyzed. By this method, we conclude that the recognition of freak waves is more accurate under medium-high wind speed and significant incidence angle conditions. Our experimental findings demonstrate that the methodologies presented in this study are capable of enhancing the identification and prediction of freak waves. This advancement is expected to bolster the precision of future freak wave forecasts and holds potential for practical application in the realm of freak wave risk alert systems.
KISS: Instrument Description and Performance
Authors: Macías-Pérez J. F. , Fernández-Torreiro M. , Catalano A. , Fasano A. , Aguiar M. , Beelen A. , Benoit A. , Bideaud A. , Bounmy J. , Bourrion O. , Calvo M. , Castro-Almazán J. A. , de Bernardis P. , De Petris M. , de Taoro A. P. , Garde G. , Génova-Santos R. T. , Gomez A. , Gómez-Renasco M. F. , Goupy J. , Hoarau C. , Hoyland R. , Lagache G. , Marpaud J. , Marton M. , Masi S. , Monfardini A. , Peel M. W. , Pisano G. , Ponthieu N. , Rebolo R. , Roni S. , Roudier S. , Rubiño-Martín J. A. , Tourres D. , Tucker C. , Viera-Curvelo T. , Vescovi C. 
Published: November 2024

Abstract
Kinetic inductance detectors (KIDs) have been proven as reliable systems for astrophysical observations, especially in the millimeter range. Their compact size enables them to optimally fill the focal plane, thus boosting sensitivity. The KIDs Interferometric Spectral Surveyor (KISS) instrument is a millimeter camera that consists of two KID arrays of 316 pixels each coupled to a Martin–Puplett interferometer (MPI). The addition of the MPI grants the KID camera the ability to provide spectral information in the 100 and 300 GHz range. In this paper, we report the main properties of the KISS instrument and its observations. We also describe the calibration and data analysis procedures used. We present a complete model of the observed data including the sky signal and several identified systematics. We have developed a full photometric and spectroscopic data analysis pipeline that translates our observations into science-ready products. We show examples of the results of this pipeline on selected sources: the Moon, Jupiter, and Venus. We note the presence of a deficit of response with respect to expectations and laboratory measurements. The detector's noise level is consistent with values obtained during laboratory measurements, pointing to a suboptimal coupling between the instrument and the telescope as the most probable origin for the problem. This deficit is large enough to prevent the detection of galaxy clusters, which were KISS's main scientific objective. Nevertheless, we have demonstrated the feasibility of this kind of instrument in the prospect of other KID interferometers (such as the CONCERTO instrument). In this regard, we have developed key instrumental technologies such as optical conception, readout electronics, and raw calibration procedures, as well as adapted data analysis procedures.
Temperature stability analysis of the all-fiber current sensor with a loop structure
Authors: Zhu Xuehua , Zhao Xiaohui , Liu Xinyu , Ren Ziruo 
Published: November 2024

Abstract
All-fiber optical current sensor (AFOCS) is a perfect product formed by the combination of fiber-optic sensing technology and the Faraday effect. It boasts significant advantages such as resistance to electromagnetic interference, a high measurement dynamic range and precision, low power consumption, low cost, and insulation. Additionally, it enables long-distance transmission, making it one of the main devices for current monitoring in smart grids. However, the birefringence within the sensing fiber is highly susceptible to changes in temperature, causing the polarization state of light to be extremely sensitive to temperature variations. This sensitivity significantly impacts the accuracy of current measurements. A novel loop structure AFOCS with a coupled fiber polarization rotator (FPR) is introduced in this paper. The operating principle of this structure is theoretically analyzed, and the Jones matrix is used to analyze the output light intensity signal and derive the error formula. After comparing the measurement accuracy of the basic AFOCS and the loop structure AFOCS, it is demonstrated that this novel structure can improve current sensitivity by enhancing the temperature robustness of the system. Additionally, the error generated by the FPR is controlled below 1%, meeting the requirements for stable system operation. Therefore, this novel structure effectively improves the accuracy of current measurement and exhibits strong temperature stability.
Thermodynamic aspects of higher-dimensional black holes in Einstein–Gauss–Bonnet gravity through exponential entropy
Authors: Malik Sana , Jawad Abdul , Chaudhary Shahid , Alam Mohammad Mahtab , Shaymatov Sanjar , Rani Shamaila 
Published: November 2024

Abstract
We assume exponential corrections to the entropy of 5D charged AdS black hole solutions, which are derived within the framework of Einstein–Gauss–Bonnet gravity and nonlinear electrodynamics. Additionally, we consider two distinct versions of 5D charged AdS black holes by setting the parameters q → 0 and k → 0 (where q represents the charge, and k is the non-linear parameter). We investigate these black holes in the extended phase space, where the cosmological constant is interpreted as pressure, demonstrating the first law of black hole thermodynamics. The focus extends to understanding the thermal stability or instability, as well as identifying first and second-order phase transitions. This exploration is carried out through the analysis of various thermodynamic quantities, including heat capacity at constant pressure, Gibbs free energy (GFE), Helmholtz free energy (HFE), and the trace of the Hessian matrix. In order to visualize phase transitions, identify critical points, analyze stability and provide comprehensive analysis, we have made the contour plot of the mentioned thermodynamic quantities and observed that our results are very consistent. These investigations are conducted within the context of exponentially corrected entropies, providing valuable insights into the intricate thermodynamic behavior of these 5D charged AdS black holes under different parameter limits.
Dynamical system approach of interacting dark energy models in f(R, Tϕ) gravity
Authors: Samaddar Amit , Surendra Singh S , Muhammad Shah , Zotos Euaggelos E 
Published: November 2024

Abstract
We have examined an isotropic and homogeneous cosmological model in f(R, T

ϕ
) gravity, where R represents the Ricci scalar and T

ϕ
exhibits the energy momentum tensor’s trace. We examine the stability criteria by performing the dynamical system analysis for our model f(R, T

ϕ
) = R + 2(aT

ϕ
+ b), where a and b are the constants. We derive a set of autonomous equations and find their solutions by assuming a flat potential V
0. We assess the equilibrium points from these equations and find the eigenvalues. We analyze the physical interpretation of the phase space for this system. We obtain three stable equilibrium points. We also examine the interaction between the scalar field and dark energy, represented by Q = ψHρ
de and determine the equilibrium points for this interaction. We identify four stable equilibrium points for this interaction. We calculate the values of the physical parameters for both scenarios at each equilibrium point, indicating the Universe’s accelerated expansion.
Effect of radiation on the attenuation length of clear fiber
Authors: Li Mengjiao , Liu Dong 
Published: November 2024

Abstract
This paper focuses on measuring and describing the
attenuation lengths of two types of clear fiber with distinct
irradiation doses. By calculating the ratio of the ADC values of
each irradiated fiber to that of the non-irradiated fiber, compared
with the attenuation length of the non-irradiated fiber, the
attenuation lengths of the irradiated fibers are obtained. It is
found that the attenuation lengths of both fibers decreased with the
irradiation dose, and the slope of the corresponding function is
different.
Vertical bending and aerodynamic performance in flying snake-inspired aerial undulation
Authors: Gong Yuchen , Huang Zihao , Dong Haibo 
Published: November 2024

Abstract
This paper presents a numerical investigation into the aerodynamic characteristics and fluid dynamics of a flying snake-like model employing vertical bending locomotion during aerial undulation in steady gliding. In addition to its typical horizontal undulation, the modeled kinematics incorporates vertical undulations and dorsal-to-ventral bending movements while in motion. Using a computational approach with an incompressible flow solver based on the immersed-boundary method, this study employs topological local mesh refinement mesh blocks to ensure the high resolution of the grid around the moving body. Initially, we applied a vertical wave undulation to a snake model undulating horizontally, investigating the effects of vertical wave amplitudes (

ψ
m

). The vortex dynamics analysis unveiled alterations in leading-edge vortices formation within the midplane due to changes in the effective angle of attack resulting from vertical bending, directly influencing lift generation. Our findings highlighted peak lift production at

ψ
m

=

2.5
∘

and the highest lift-to-drag ratio (L/D) at

ψ
m

=

5
∘

, with aerodynamic performance declining beyond this threshold. Subsequently, we studied the effects of the dorsal–ventral bending amplitude (

ψ

DV

), showing that the tail-up/down body posture can result in different fore-aft body interactions. Compared to the baseline configuration, the lift generation is observed to increase by 17.3% at

ψ

DV

= 5°, while a preferable L/D is found at

ψ

DV

= −5°. This study explains the flow dynamics associated with vertical bending and uncovers fundamental mechanisms governing body–body interaction, contributing to the enhancement of lift production and efficiency of aerial undulation in snake-inspired gliding.
Optimization of a passive roll absorber for robotic fish based on tune mass damper
Authors: Zhu Chunhui , Zhou Chao , Zou Qianqian , Fan Junfeng , Zhang Zhuoliang , Ou Yaming , Wang Jian 
Published: November 2024

Abstract
The robotic fish utilizes a bio-inspired undulatory propulsion system to achieve high swimming performance. However, significant roll motion has been observed at the head when the tail oscillates at certain frequencies, adversely affecting both perception accuracy and propulsion efficiency. In this paper, the roll torque acting on the robotic fish is theoretically analyzed and decomposed into gravitational, inertial, and hydrodynamic components. Resonance is identified as a key factor amplifying the roll response. To mitigate this roll and enhance stability, a passive roll absorber based on tuned mass damper is designed. A simplified rolling structure is dynamically modeled to optimize absorber parameters. Experiments are conducted to quantify the roll torque experienced by the robotic fish, with the effectiveness of the absorber verified on both the simplified model and the robotic fish. Results show that the maximum roll angle of the simplified system under harmonic load decreases from 98° to

29

∘

, representing a reduction of over 70%, while a 25.1% reduction is achieved on the robotic fish.
Low-intensity pulsed ultrasound promotes cell viability of hUSCs in volumetric bioprinting scaffolds via PI3K/Akt and ERK1/2 pathways
Authors: Chen Jiahui , Li Yuanchao , Dai Xiaoqi , Huang Mei , Chen Meiling , Zhan Yifei , Guo Yaochuan , Du Yuxuan , Li Liuqiang , Liu Meiqin , Huang Maofang , Bian Jun , Lai Dehui 
Published: November 2024

Abstract
The study aimed to investigate the impact of low-intensity pulsed ultrasound (LIPUS) on human urinary-derived stem cells (hUSCs) viability within three-dimensional (3D) cell-laden gelatin methacryloyl (GelMA) scaffolds. hUSCs were integrated into GelMA bio-inks at concentrations ranging from 2.5% to 10% w/v and then bioprinted using a volumetic-based method. Subsequent exposure of these scaffolds to LIPUS under varying parameters or sham irradiation aimed at optimizing the LIPUS treatment. Assessment of hUSCs viability employed Cell Counting Kit-8 (CCK8), cell cycle analysis, and live&dead cell double staining assays. Additionally, Western blot analysis was conducted to determine protein expression levels. With 3D bio-printed cell-laden GelMA scaffolds successfully constructed, LIPUS promoted the proliferation of hUSCs. Optimal LIPUS conditions, as determined through CCK8 and live&dead cell double staining assays, was achieved at a frequency of 1.5 MHz, a spatial-average temporal-average intensity (ISATA) of 150 mW cm−2, with an exposure duration of 10 min per session administered consecutively for two sessions. LIPUS facilitated the transition from G0/G1 phase to S and G2/M phases and enhanced the phosphorylation of ERK1/2 and PI3K-Akt. Inhibition of ERK1/2 (U0126) and PI3K (LY294002) significantly attenuated LIPUS-induced phosphorylation of ERK1/2 and PI3K-Akt respectively, both of which decreased the hUSC viability within 3D bio-printed GelMA scaffolds. Applying a LIPUS treatment at an ISATA of 150 mW cm−2promotes the growth of hUSCs within 3D bio-printed GelMA scaffolds through modulating ERK1/2 and PI3K-Akt signaling pathways.
Almost all even-particle pure states are determined by their half-body marginals
Authors: Zhang Wanchen , Shi Fei , Zhang Xiande 
Published: November 2024

Abstract
Determining whether the original global state is uniquely determined by its local marginals is a prerequisite for some efficient tools for characterizing quantum states. In this paper, we show that almost all generic pure states of even N-particle with equal local dimension are uniquely determined among all pure states (UDP) by four of their half-body marginals. Furthermore, we give a graphical description of the marginals for determining genuinely multipartite entangled states, which leads to several lower bounds on the number of required marginals. Finally, we present a construction of N-qudit states obtained from certain combinatorial structures that cannot be UDP by their k-body marginals for some

k
⩾
⌊
N

/

2
⌋

.
Improvement of biodegradability prediction QSAR system through optimal combination of algorithms
Authors: Takeda Kazuhiro , Takeuchi Kensuke , Sakuratani Yuki , Kimbara Kazuhide 
Published: November 2024

Abstract
This paper introduces a novel quantitative structure-activity relationship (QSAR) system for predicting the biodegradability of chemicals. The system focuses on evaluating the ratio of biochemical oxygen demand (BOD) to theoretical oxygen demand (ThOD) (%BOD/ThOD) and the presence of degradation products to categorize chemicals as “readily biodegradable” (RB) or “not readily biodegradable” (NB). The conventional laboratory testing method for biodegradability assessment is time-consuming and expensive, thus highlighting the need for a quantitative structure-activity relationship (QSAR) system that can predict biodegradability without the need for extensive testing. The authors acquired a dataset of 3948 chemicals from the National Institute of Technology and Evaluation (NITE) database, which included information on molecular structure, %BOD/ThOD values, and the presence of degradation products. The QSAR system consists of two prediction models: a %BOD/ThOD prediction model and a discrimination prediction model. Multiple algorithms were employed in each model to enhance prediction accuracy. The %BOD/ThOD prediction model utilizes eight algorithms, including linear, nonlinear, and tree-structured models. The discrimination prediction model employs ten algorithms, and the outcomes are combined using majority voting. Explanatory variables for both models include molecular descriptors and spatial structure derived from the chemical’s molecular representation. The performance of the QSAR system was evaluated based on training and validation datasets. Results showed that the combination of three %BOD/ThOD prediction algorithms improved the average correction rate compared to using all algorithms. Similarly, selecting the discrimination prediction algorithm further enhanced the average correction rate.
Fast biodiesel production via potassium ferrate catalysis at room temperature using refined coconut oil and vegetable oil
Authors: Demafelis R B , Cello K C , Ronquillo J T , Borines M G , Bambase Jr M E , Magadia B T , Matanguihan A E D , Landoy R J B 
Published: November 2024

Abstract
Traditionally, the transesterification reaction for biodiesel production takes place at elevated temperatures, around 60-65°C, for up to two hours of reaction time, entailing a high energy consumption. As the University of the Philippines Los Baños – Interdisciplinary Biofuels Research Studies Center (UPLB-IBRSC) continuously aims to conduct studies on improving process efficiencies in biofuels production, this research investigated the potential of potassium ferrate as a catalyst for fast biodiesel production at room temperature. Particularly, the catalytic activity of potassium ferrate in the transesterification of refined coconut oil and vegetable oil was examined. The effects of the parameters such as methanol-to-oil molar ratio, catalyst loading, and reaction time on biodiesel yield and purity were studied. Thin layer chromatography, with the aid of ImageJ software, was applied to analyze the purity of the biodiesel through the developed spots’ area estimation. Characterization experiments in terms of free fatty acid (FFA) content and acid value were performed to confirm the low FFA content of the feedstocks prior to transesterification. Results of the parametric and optimization study revealed that a biodiesel yield of 87.67% using vegetable oil was experimentally achieved at the optimum conditions of 6.75 wt% catalyst loading, 6:1 methanol-to-oil molar ratio, and 30 minutes reaction time. Using coconut oil, on the other hand, resulted in a higher biodiesel yield of 94.90% at a catalyst loading of 6 wt%, a methanol-to-oil molar ratio of 6:1, and a reaction time of 60 minutes. Generally, findings show that catalyst loading has a positive effect on biodiesel yield and purity only up to a certain optimum amount. Among all the parameters analyzed, the methanol-to-oil molar ratio was found to have the most significant effect as an individual factor. Given the results of this study, it can be concluded that the potassium ferrate-catalyzed transesterification reaction at room temperature can potentially reduce the energy consumption in biodiesel production and the production cost in general.