bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of health monitoring parameters for automotive pneumatic elastomeric system using soft pressure sensors for enhanced vehicle performance
Authors: Hossain Md Jarir , Kamath Sarath Suresh , Mouna Shahba Tasmiya , Park Jong Min , Oh Heung-Seok , Kim Young-Seok , Choi Jae-Won 
Published: February 2025

Abstract
In the rapidly evolving automotive industry, the need for reliable and efficient pneumatic elastomeric components necessitates cutting-edge health monitoring methods, given that the pneumatic components are directly connected to dampening properties, ride comfort, vehicle safety, and stability. A novel approach for pneumatic elastomeric component health monitoring utilizing ionic liquid (IL)-based soft sensor technology has been proposed, which has the promise to enable real-time health monitoring and prognostics of vehicle systems. The proposed polymer sensor leverages the distinctive characteristics of flexibility, stretchability, and high sensitivity. These properties are critical for precisely measuring load, vertical displacement, air pressure, force locations, and load frequency of the air pressure responsive rubber part. The sensors are attached to three key contact positions: two on the metal cover of the elastomeric component and one on the piston of the component to provide critical information about the rolled and unrolled rubber. These sensors continuously measure essential parameters for health monitoring. The collected data can identify potential issues such as leaks, wear, or structural weaknesses. The finding illustrates the effectiveness of the IL-based soft sensors in providing precise and reliable data for health monitoring parameters.
Positional information trade-offs in boundary-driven reaction–diffusion systems
Authors: Berx Jonas , Singh Prashant , Proesmans Karel 
Published: February 2025

Abstract
Individual components such as cells, particles, or agents within a larger system often require detailed understanding of their relative position to act accordingly, enabling the system as a whole to function in an organised and efficient manner. Through the concept of positional information (PI), such components are able to specify their position in order to, e.g. create robust spatial patterns or coordinate specific functionality. Such complex behaviour generally occurs far from thermodynamic equilibrium and thus requires the dissipation of free energy to sustain functionality. We show that in boundary-driven simple exclusion systems with position-dependent Langmuir kinetics, non-trivial Pareto-optimal trade-offs exist between the PI, rescaled entropy production rate and global reaction current. Phase transitions in the optimal protocols that tune the densities of the system boundaries emerge as a result, showing that distinct protocols are able to exchange global optimality similar to phase coexistence in liquid–gas phase transitions, and that increasing the PI can lead to diminishing returns when considering increased dissipation.
Identification of M1 lines of Ca-like Ge12+ and Se14+ ions at electron beam ion traps
Authors: Li Bingli , Yao Ke , Xiao Jun 
Published: February 2025

Abstract
Optical emission lines within the 200–750 nm range of the Ca-like ions Ge12+ and Se14+ are measured using electron beam ion traps. Six previously unreported spectral lines emitted by these ions are obtained. The multiconfiguration Dirac-Hartree-Fock (MCDHF) methods are employed to calculate the energy levels and transition rates, accounting for Breit interaction, QED effects, and significant valence-valence, core-valence, and core-core correlations. By comparing with the theoretical calculations, three lines each for Ge12+ and Se14+ ions are successfully identified. Along the isoelectronic sequence of the Ca-like ions from Fe6+ to Kr16+, the transition energy scaling with nuclear charge Z is investigated.
Spin-valley-polarized Weiss oscillations in monolayer 1{\it T}$^{\prime}$-\ce{MoS2}
Authors: Li Yang , Zeng Wen , Shen Rui 
Published: February 2025

Abstract
Monolayer 1{\it T}$^{\prime}$-\ce{MoS2} exhibits spin- and valley-dependent massive tilted Dirac cones with two velocity correction terms in low-energy effective Hamiltonian. We theoretically investigate the longitudinal diffusive magnetoconductivity of monolayer 1{\it T}$^{\prime}$-\ce{MoS2} by using the linear response theory. It is shown that, when the Fermi level is close to the spin-orbit coupling gap, the Weiss oscillation splits into two branches and exhibits spin-valley polarization in the presence of both a spatial periodic electric potential modulation in the lateral direction and a nonzero perpendicular electric field. The spin-valley polarization stems from the interplay between the tilted Dirac cones, the spin-orbit coupling gap, and the external electric potential modulation, and can be treated as a signature of monolayer 1{\it T}$^{\prime}$-\ce{MoS2}. When the Fermi level is far from the spin-orbit coupling gap, the spin-polarization appears in the Weiss oscillation under a magnetic field modulation in the lateral direction. This polarization behavior arises from the interplay between the tilted Dirac cones, the spin-orbit coupling, and the external magnetic field modulation, indicating that a finite spin-orbit coupling gap is not indispensable for polarization in the Weiss oscillation.
Two types of polarized dual-wavelength Nd:NaLa(WO4)2 lasers with controllable output power ratio
Authors: Chu Chu , Li Yuzhao , Wang Shang , Hu Zonghua , Du Zhenhua 
Published: February 2025

Abstract
Two types of polarized continuous-wave (CW) dual-wavelength Nd:NaLa(WO4)2 (Nd:NLW) lasers were studied. By adjusting two uncoated glass plates, the output power ratio of the orthogonally polarized dual-wavelength (OPDW) laser can be controlled. At an incident pump power of 20 W, a CW OPDW laser operating at 1058 nm in π-polarization and 1067 nm in σ-polarization was realized. The total output power of the OPDW laser at 1058 and 1067 nm was more than 11.6 W with 1:1 output power ratio. The total slope efficiency and total optical-to-optical conversion efficiency were 61.0% and 58.0%, respectively. By adjusting two Lyot filters, the output power ratio of the linearly polarized dual-wavelength (LPDW) can be controlled. CW LPDW lasers at 1062 and 1067 nm in σ-polarization and at 1058 and 1066 nm in π-polarization were also achieved, respectively. The total output power of the LPDW laser was more than 5.0 W with a 1:1 output power ratio in σ-polarization. The total slope efficiency and total optical-to-optical conversion efficiency were 27.6% and 25.0%, respectively.
Plug-and-play measurement-device-independent quantum digital signature
Authors: Zhang Minghui , Sun Yuhao , Zhao Shan , Kang Jiale , Liu Weiqi 
Published: February 2025

Abstract
Measurement-device-independent quantum digital signature (MDI-QDS) guarantees the authenticity and integrity of a message with security against all detector side-channel attacks. However, the experimental implementation of MDI-QDS in actual systems is extremely complicated since: (i) high-visibility interference requires several additional active control units for mode matching; (ii) a key assumption in MDI-QDS is that the laser source located at each user should be trusted. In this work, we propose a plug-and-play MDI-QDS scheme with a single untrusted source. On the one hand, it completely eliminates the requirement that each user must have a trusted laser source, and only needs to set an untrusted source at the Relay. On the other hand, the mode matching of MDI-QDS can be realized automatically with a plug-and-play structure. We then discuss the performance of the scheme by using the two-intensity decoy-state method with full parameter optimization. The numerical simulations show that the plug-and-play MDI-QDS with a single untrusted source provides comparable performances to the original MDI-QDS in a low-loss regime but with a simpler experimental setup. Consequently, the scheme can be flexibly implemented with common optical components in an optical fiber network since users can share both detectors and a complicated laser source.
Experimental characteristics of lost fast negative ions on EAST tokamak
Authors: Zhang Zixin , Huang Juan , Chang Jiafeng , Wu Chengrui , Galdon-Quiroga Joaquin , Snicker Antti , Isobe Mitsutaka , Ogawa Kunihiro , He Kaiyang , Wang Shusong , Sun Yanxu , Wang Xihui 
Published: February 2025

Abstract
It is the first time that fast negative-ion loss signals are observed by Fast-ion Loss Detector (FILD) and analyzed in EAST neutral beam injection experiment. Velocity-space distributions of lost fast negative and positive ions reconstructed by the FILDSIM code are basically consistent. Orbit analysis backtracked by the ASCOT code shows that the fast negative ions are generated at the low-field side scrape-off layer (SOL), whereas the fast positive ions are generated near the last closed flux surface (LCFS) at both the high- and low-field sides. The existence of fast negative-ion loss indirectly suggests a very high neutral particle density near both the main limiter and antenna limiter. The differing birth locations of fast positive and negative ions result in distinct loss behaviors during ELM H-mode and n=3 rotating RMP experiments. The asymmetry of neutral particle density in tokamak suggest that previous studies may have underestimated the fraction of charge exchange (CX) losses due to the assumption of a uniform neutral particle density outside the LCFS. Therefore, simulations evaluating the charge exchange loss fraction in the future should account for a three-dimensional distribution of neutral particle density, including local gas puffing and the neutral particle density around various limiters.
A Machine Learning Approach in EEG-Based Assessment of Cognitive Load by Mental Arithmetic Tasks
Authors: Nguyen Phuc Khang , Huynh Quang Linh 
Published: February 2025

Abstract
In this study, we investigate the characteristics of electroencephalogram (EEG) signals during mental arithmetic tasks. The publicly available dataset used in this study includes EEG recordings from 36 healthy volunteers performing serial subtraction tasks, with data collected using a 23-channel Neurocom EEG system. The study aims to explore the changes in brain activity during cognitive workload by analyzing the power spectral density, entropy, and statistical features of the EEG signals. Key features such as band power in delta, theta, alpha, beta, and gamma frequency bands, entropy, mean power, standard deviation, kurtosis, skewness, autocorrelation, and RMS energy were extracted from each channel. The subjects were categorized into good and bad counters based on their arithmetic performance. The extracted features were then used to train machine learning models, including Linear Discriminant Analysis (LDA), k-Nearest Neighbors (KNN), and Support Vector Machine (SVM), to classify the cognitive workload levels. The KNN model demonstrated the highest overall performance with an F1 score of 0.857. This research highlights the potential of using EEG features to assess cognitive workload and provides a foundation for future studies on brain-computer interfaces and cognitive neuroscience.
Fabrication and Characterization of Flexible Piezoresistive Pressure Sensors Using Spinosum Structured PANI/PVA Hydrogel
Authors: Huy Nguyen Gia , Tram Nguyen Xuan Thanh 
Published: February 2025

Abstract
In this study, flexible piezoresistive pressure sensors with a spinosum structure surface were fabricated from Polyaniline/Polyvinyl Alcohol (PANI/PVA) hydrogel. First, PANI powder was fabricated and mixed with a PVA solution. The mixture was blended at a 1:1 ratio with a 10% PVA solution before this solution was scraped on two types of abrasive paper to replicate the spinosum microstructure. The hydrogel thin films were dried at ambient temperature and then carefully removed from the abrasive paper to obtain the spinosum micro structured PANI/PVA hydrogel thin films. The spinosum structure and the phase of the hydrogel thin films were evaluated. The mechanical strength of the hydrogel thin film was assessed using a stress-strain curve. According to the results, the pore sizes of the spinosum microstructure affected the resistance and mechanical strength of the hydrogel thin film. The piezoresistive pressure sensors were capable of producing current responses to different masses. Furthermore, the sensors were able to identify different calligraphic styles, demonstrating their potential for biometric recognition and personalized electronics applications.
A Bi-Level Simulation for Assessing the Traffic Impact of Priority Bus Lanes in Mixed Traffic: A Case Study of Ho Chi Minh City
Authors: Van Hong Tan 
Published: February 2025

Abstract
This article introduces a bi-level simulation approach for evaluating the impacts of implementing dedicated bus lanes. We illustrate this method with a case study of a specific route in Ho Chi Minh City, which involved using iterative simulations to make incremental adjustments to reflect any changes in bus service quality or other transport system modifications. By using this approach, it is possible to minimize negative impacts and implement appropriate mitigation measures, thereby increasing the chances of successfully implementing priority bus lanes particularly in mixed traffic condition. It is important to note that the priority bus lanes itself should be seen as a mitigation measure, as it not only offers additional capacity along the corridor but also provides a safer, more reliable, and possibly more comfortable alternative transport mode for students and employees in Ho Chi Minh City, all at a lower cost.
Analysis of Wind-Wave Impact on Open Wave Channel Systems
Authors: Thai Le Hung , Truong Huy Hoang 
Published: February 2025

Abstract
The growing demand for renewable energy has catalyzed research and development in harnessing wave energy. The Open Wave Channel (OWC) system presents an experimental approach for generating waves, facilitating marine energy studies aimed at powering wave-based renewable energy facilities. This study introduces an innovative wave generation method, distinct from traditional sinusoidal wave generation techniques. By analyzing wind-induced wave oscillations, this method produces more complex waveforms that better reflect actual offshore conditions, moving beyond simple sinusoidal shapes. The study’s objective is to examine the impact of wind speed and direction on key parameters, such as wave height and flow velocity, within energy conversion devices like the oscillating water column system. Results highlight the complexity of offshore conditions, showing how wind-induced wave dynamics affect the performance of offshore turbine systems. This research contributes to improving turbine efficiency and supports strategic deployment of renewable energy projects in Vietnamese waters.
Numerical Analysis of Steel-Concrete Composite Slabs with Screw Stiffeners
Authors: Huong Khang Thanh , Bui Linh Van Hong , Nguyen Phuoc Trong 
Published: February 2025

Abstract
This paper numerically analyzes the behavior of steel-concrete composite slabs reinforced with screw stiffeners. These slabs are modeled as simply supported one-way slabs subjected to a concentrated load, with screws distributed according to predefined conditions, using the finite element method. The FEM models are implemented using Ansys LS-DYNA software, employing constant stress hexahedron SOLID, BEAM, and SHELL elements to simulate concrete, screws, and steel decking, respectively. The results obtained from the numerical simulation of the composite slabs include bending moment, displacement, strain in steel decking and concrete, and failure mode. The comparison between the experimental data and the obtained results has been shown as a validation of the numerical approach. The comparison indicates that the numerical finite element method models could reliably predict the structural behavior of steel-concrete composite slabs. Additionally, through an extended parametric investigation, the use of screw stiffeners in the composite slabs enhances load-carrying capacity and prevents adverse failure modes. This finding highlights the practical benefits of the shear anchoring technique using screws.
A comprehensive evaluation of various mean-free-path forms in hypersonic rarefied gas flows
Authors: Quach Vinh Huu , Tran Tram Thi Huyen 
Published: February 2025

Abstract
Simulations of the hypersonic rarefied gas flows are essential when designing high-speed vehicles such as re-entry vehicles. Computational Fluid Dynamics (CFD) and Direct Simulation Monte Carlo (DSMC) are typical approaches to simulate these flows. The latter has a higher computational cost than the CFD, which solves the Navier-Stokes-Fourier (NSF) equations. Appropriately treating the slip and jump conditions is critical for comparing the DSMC data and the CFD results. The accuracy of the NSF simulations is typically determined by the slip and jump boundary conditions (BCs) used to predict the surface properties, such as the slip velocity and the surface gas temperature. The mean free path (MFP) of gas molecules is vital in the slip-and-jump BCs to generate precise simulation results that enhance hypersonic vehicle design and performance. The current work comprehensively evaluates two forms of the MFP: the Hard-Sphere (HS) and the Variable-Hard-Sphere (VHS). The objective is to determine the model most suitable for hypersonic rarefied gas flow simulations that predict surface properties accurately. The research adopts basic aerodynamic configurations, including a sharp leading-edge flat plate, a wedge, and a cylinder in cross-flow, to validate the two MFP models. The Mach numbers examined in this study range from 6 to 10, with argon and nitrogen as the working gases. The results of the simulations show that the VHS mean free path form gives better results than the HS one compared to the DSMC data.
Nonlinear Analysis of Stiffened Laminated Composite Thin-Wall Structures Using SHELL181 Elements in ANSYS
Authors: Pham Hau Phuc Tran , Tan Ho Loc , Doan Nghia Trong , Siu Lo Vay 
Published: February 2025

Abstract
This paper investigates the nonlinear static behavior of stiffened laminated composite plates using finite element analysis (FEA). The analysis is conducted using the SHELL181 element in ANSYS, which is well-suited for modeling the complex geometries and material properties of composite structures. The study includes detailed modeling of the laminated composite plates with orthogonal stiffeners and examines the impact of various parameters on their structural behavior under static loads. A nonlinear analysis is conducted to capture the complex behavior of the stiffened plates, taking into consideration geometric nonlinearity. The results demonstrate the effectiveness of the finite element approach in accurately predicting the behavior of stiffened composite plates. The findings are validated against established results, showing good agreement and confirming the reliability of the SHELL181 element for such analyses. This research provides valuable insights into the design and optimization of stiffened laminated composite structures in engineering applications.
Hydrodynamic Analysis of Point Absorber Wave Energy Converters Using ANSYS Aqwa
Authors: Thanh Ta Dat , Phan Quyen Ngoc , Truong Thien Tich 
Published: February 2025

Abstract
This study presents an analysis of a point absorber wave energy converter (WEC) system, employing advanced numerical modeling and time-domain simulations to evaluate and optimize the device’s performance. The wave energy converter consists of a single floating body coupled with a spring-mass damper system. Buoys with different drafts are analyzed to maximize the energy absorption of the wave energy converter. The numerical examples in this work were implemented using the boundary element method via the ANSYS Aqwa software. The hydrodynamic parameters analyzed in the paper include excitation force, added mass, radiation damping coefficient, response amplitude operator (RAO), and the wave energy absorption power of the buoy. From the obtained results, the hydrodynamic behavior characteristics, overall cost optimization, and power absorption of buoys with different drafts can be evaluated to ensure their energy absorption.
The effect of car types on head injuries of Vietnamese pedestrians using dummy in crashes
Authors: Anh Ly Hung 
Published: February 2025

Abstract
Simulation for crashworthiness has been widely applied recently due to its cost-effectiveness and viability with pedestrians who are always suffer serious injury. Reducing traffic accident numbers, and fatalities in severe accidents is always a huge concern of the government in Vietnam. This research focused on numerical simulation using finite element dummy model to study head injuries in a Vietnamese pedestrian suffered crash accidents at center position with three car types: (Sedan, SUV, and Pick-up). V-dummy which is suitable for Vietnamese anthropometric properties is used for this research. V-dummy is created by scaling from the Hybrid III dummy. The initial speeds of the vehicles are set at 20, 30, 40, 50, and 60 (km/h) and the impact angles are set at 0°, 45°, and 90°. There are forty-five simulation cases in total presented in this paper. Head injuries are determined by assessing the HIC (Head Injury Criterion) for every cases. Result shows that HIC increases with respect to velocity and varies with the impact angle. When V-dummy is in impact, the head will have a tendency to hit the windshield or the bonnet first (named phase of car impact) then it gets knocked up airborne before struck to the ground (named phase of ground impact). The location of the head impact on the car depends on the type of vehicle and the impact angle. The HIC value is increased together with the impact speed. For the impact case at 90°, the shoulder first and then the head are in contact with the bonnet, which causes HIC in impact angle 90° lower than both 0° and 45°.
Use of Paper- and Cardboard Based Foams Beyond the Packaging Industry
Authors: Kóczán Z , Pásztory Z 
Published: February 2025

Abstract
Paper and cardboard-based products are alternative raw materials in the field of architecture that contribute and promote sustainability, since the amount of waste generated in the construction industry is very significant, it is essential to use raw materials from renewable sources. In this research, chemical foaming technology was used to investigate how the paper or cardboard waste can be reused or recycled as thermal insulation boards in the construction industry. The foaming effect of the sodium-dodecyl-sulfate and alkyl-polyglucoside were tested. The present study showed that the thermal conductivity of the samples was similar to that of materials currently on the market. Foamed samples reached a thermal conductivity of 0.044-0.050 W/mK. The density of the samples was 0.130-0.172 g/cm3 which is quite high compared to the density of mineral wool or expanded polystyrene. The water resistance of the samples could be increased by the application of additives or coatings. This raw material is favorable, as it is recycled the production of the insulating material does not require as much energy as if it were made from primary raw material. Also, no environmentally harmful binders were used during production. The most important result of the research is that the insulation material samples were made of recycled, natural-based material so the product also meets the requirements of the circular economy and sustainability.