bluuebunny/crossref_metadata_2025_split huggingface dataset:
High‐Performance Proton Exchange Membrane with Vertically Aligned Montmorillonite Nanochannels
Authors: Gao Yushuan , Qiao Zilin , Zhang Lei , Shi Le 
Published: January 2025

AbstractThe traditional perfluorosulfonic acid proton exchange membrane is crucial for proton exchange membrane fuel cells, but its high cost has impeded broader commercialization. In this study, a novel concept of a cost‐effective and stable vertically aligned polydopamine‐intercalated montmorillonite membrane (VAPMM) is introduced. 2D nanochannels formed within the lamellar structure of polydopamine‐coated montmorillonite nanosheets provide a significant stable in‐plane proton conductivity of 0.58 S cm−1. The stacked lamellar structure is embedded in epoxy resin to maintain its orientation. Subsequently, precise slicing along the vertical direction of the 2D nanochannels yields a thin film ≈150 µm thick, featuring vertically aligned proton conductive transmembrane nanochannels. When assembled into a membrane electrode assembly with commercial gas diffusion electrodes, the VAPMM exhibits a maximum areal peak power density of up to 534.00 mW cm−2 at 75 °C with 100% RH, surpassing by more than four times that of a commercial Nafion membrane of similar thickness (N117, 183 µm, 116.17 mW cm−2). This study outlines a pathway for developing next‐generation proton exchange membranes that are both cost‐effective and highly stable. Additionally, it introduces a straightforward method to create fully vertically aligned transmembrane nanochannels while preserving the interlayer structure, which is crucial for advancements in nanofluidics.
Rapid Charge Transfer Endowed by Heteroatom Doped Z‐Scheme Van Der Waals Heterojunction for Boosting Photocatalytic Hydrogen Evolution
Authors: Xing Weinan , Shao Weifan , Li Yingfu , Lin Huage , Han Jiangang , Zou Luyi , Jia Ran , Wu Guangyu 
Published: January 2025

AbstractConstructing heterojunctions between phase interfaces represents a crucial strategy for achieving excellent photocatalytic performance, but the absence of sufficient interface driving force and limited charge transfer pathway leads to unsatisfactory charge separation processes. Herein, a doping‐engineering strategy is introduced to construct a In─N bond‐bridged In2S3 nanocluster modified S doped carbon nitride (CN) nanosheets Z‐Scheme van der Waals (VDW) heterojunctions (In2S3/CNS) photocatalyst, and the preparation process just by one‐step pyrolysis using the pre‐coordination confinement method. Specifically, S atoms doping enhances the bond strength of In─N and forms high‐quality interfacial In─N linkage which serves as the atomic‐level interfacial “highway” for improving the interfacial electrons migration, decreasing the charge recombination probability. The detailed characterization results, along with theoretical calculations, confirm that both S atom incorporation and the formation of Z‐Scheme VDW heterojunctions synergistically improve the internal electric field. This, in turn, accelerates charge separation and simultaneously enhances light absorption capacity. Consequently, the optimal hydrogen evolution performance of In₂S₃/CNS2 is 160.8 times greater than that of In₂S₃, 8.2 times higher than that of CNS. This study emphasizes the crucial role of atomic‐scale interface regulation and intrinsic electric fields in Z‐Scheme VDW heterojunctions, contributing to ameliorative photocatalytic performance.
CiThroModel Improves Prediction of Symptomatic Venous Thromboembolism in Hospitalized Patients With Cirrhosis Without Hepatocellular Carcinoma
Authors: Zanetto Alberto , Vitale Alessandro , Pelizzaro Filippo , Simeon Vittorio , Campello Elena , Turco Laura , Balcar Lorenz , Russo Francesco Paolo , Burra Patrizia , Simioni Paolo , Senzolo Marco 
Published: January 2025

ABSTRACTBackground & AimsVenous thromboembolism (VTE) is a recognized complication of acutely ill patients, but its incidence and risk factors in those with cirrhosis are uncertain.MethodsWe retrospectively studied a consecutive cohort of cirrhosis patients non‐electively admitted to our medical unit to determine the rates of symptomatic VTE during hospitalization. Firstly, we explored associations with baseline, clinical and laboratory characteristics using logistic regression. Secondly, we developed a clinical prediction model that could predict the risk of in‐hospital VTE.ResultsWe included 687 patients (median age 61 years old; 68% male; Child–Pugh A/B/C, 13%/40%/47%). During hospitalization, 34 patients (4.9%) experienced VTE. Multivariate analysis showed that male sex (OR: 2.56, p = 0.05), AKI (OR: 3.1, p = 0.001), bacterial infections (OR: 2.6, p = 0.008), Pugh score (OR: 1.6. p < 0.001), family history of thrombosis (OR: 3.1, p = 0.04), reduced mobility (OR: 4.6, p < 0.001), and C‐reactive protein (OR: 1.1, p = 0.005) were independent predictors of VTE. We combined these variables in a prediction model (CirrhosisThrombosisModel) that accurately discriminated between high‐ and low‐risk patients. The AUROC of CiThroModel was significantly higher than that of Padua prediction score (0.882 vs. 0.742). After validating the CiThroModel using bootstrapping, the adjusted model maintained optimal discrimination ability (0.862) and calibration. The adjusted formula to calculate the in‐hospital risk of VTE was −9.00 + 0.82 [Male sex] + 1.14 [AKI] + 0.98 [Infection] + 0.48 * Child Pugh score + 1.14 [VTE family history] + 1.54 [Reduced mobility] + 0.15 * PCR/10.ConclusionThe CiThroModel seems a valuable tool for identifying hospitalized patients with cirrhosis at risk of VTE (https://majinzin.shinyapps.io/vterisk/).
Efficient Event Processing on Modern Hardware
Authors: Kuhrt Marius , Glombiewski Nikolaus , Körber Michael , Morgen Andreas , Brandenstein Dominik , Seeger Bernhard 
Published: January 2025

Abstract
Complex event processing (CEP) is an essential technology for analyzing streams of events. A key feature of a modern CEP architecture is the ability to process both continuous queries and analytical ad hoc queries on high-volume streams. Both query types support common operations (filter, aggregation, joins) known in event stream and database systems. Additionally, a crucial and unique operation in CEP is pattern matching, which matches user-defined predicates to subsequences of events.
We present our solution for a system supporting continuous queries, fast ingestion, and efficient analytical ad hoc queries. The system follows the principles of a Lambda Architecture and is specialized for a large variety of pattern-matching queries, including sequential, situation, and group patterns.
To offer efficient processing, we use modern hardware in each of the components. For continuous queries, we explore multi-core CPUs and GPUs. For ingestion and ad hoc queries, we analyze SSDs and persistent memory as ways to provide a robust system. Furthermore, we explore unique characteristics of the hardware and event processing applications such as temporal data, energy efficiency, and compression. We give an overview of the overall systems, highlight the research accomplishments, and describe common application scenarios that benefit from our architecture.
Scaling Beyond DRAM Without Compromising Performance
Authors: Vogel Lukas , Anneser Christoph , Gruber Ferdinand , Neumann Thomas , Giceva Jana , Kemper Alfons 
Published: January 2025

Abstract
In the past, the common assumption was that main memory would become cheap and abundant enough to power database systems solely. This assumption did not hold. This chapter presents approaches on how modern database systems can scale beyond a single server’s main memory capacity by utilizing trends in modern hardware without sacrificing performance. To this end, we present four systems: Mosaic, a storage engine for analytical workloads; Plush, a PMem-optimized storage structure for transactional workloads; PMFDS, a novel programming model for fully disaggregated systems; and finally, FireArm, a just-in-time compilation framework for rising ARM systems in the server space.
Analysis of Aerodynamic Damping Characteristics of Integral Turbine Blade Disk
Authors: Lu Xuewei , Song Youfu , Chen Yihong , Xie Weiyi , Xiong Xiangjie , Liu Changli 
Published: January 2025

Abstract
The vibration of turbine blisk seriously affects their service life and reliability. When the vibration of blisk is analyzed, the accurate and rapid prediction of aerodynamic damping is very important. Therefore, a double-passage traveling wave method (DPTW) based on the energy method is proposed to calculate unsteady fluids, which uses shape correction method based on phase-lagged boundary conditions. Meanwhile, the variables of the fluid domain are obtained by accessing the Fourier coefficients on the periodic interface. Finally, the aerodynamic damping of the turbine blade as a whole was calculated at different inter-blade phase angles (IBPA). The comparison with the results of the full passage method shows that DPTW method has high computational efficiency, and the calculation error is not more than 5%.
Research on Irregular-Shaped Workpiece Fixture Based on Electrorheological Fluid
Authors: Wang Yinzhen , Liu Jiangping , Zhuo Liyun 
Published: January 2025

Abstract
Although the current computer numerical control (CNC) machine tools on the market are flexible, efficient, and automated, capable of enhancing precision, handling large quantities of components, and processing diverse ordinary parts, they often encounter challenges in positioning, clamping, and stress concentration when fabricating special-shaped structures. In response to these issues, multiple sets of specialized fixtures are usually designed and manufactured according to requirements, which increases the processing cost of irregular-shaped workpieces. Moreover, these specialized fixtures cannot be universally applied, leading to substantial wastage. Therefore, this project utilizes the inherent transformation characteristics of electrorheological (ER) fluid between liquid and solid to achieve rapid automatic clamping. The clamping is fully enveloping, ensuring stable clamping force and minimizing damage to irregular-shaped workpieces. Simultaneously, by combining multi-axis attitude adjustment arms with multiple sets of laser positioning, flexible and precise adjustment of the attitude of irregular-shaped workpieces is achieved. Ultimately, the combination of ER fluid enables the clamping and positioning of any irregular-shaped workpiece.
Analysis of Sealing of Engine Cylinder Head Gasket Based on Computer Simulation
Authors: Lu Ming , Yan Pingtao , Li Qiang 
Published: January 2025

Abstract
Engine cylinder gasket is not prone to leakage under stable conditions, but leakage and cracking often occur during alternating tests such as thermal shock. In order to study the failure of cylinder gasket during alternating tests, this paper establishes a spring unit model of gasket through finite element method, and simulates the transient temperature field results of the thermal shock test cycle. The problem of high cycle under low cycle process was studied, and the changes of line load and gap movement of each position of the gasket during the whole cycle were calculated, and the differences between the transient process and the steady process were obtained. It can be seen from the results that the transient analysis results are basically consistent with the test results, the minimum line load of the gasket is 6.3 N/mm, and the maximum gap movement is 42 μm. By increasing the stiffness of the half beads at the failure position, after optimization, the minimum line load of the gasket is 10.2 N/mm, an increase of 62%, and the maximum gap movement is reduced to 36.8 μm, a decrease of 12.4%. The effect is obvious, and the problem of leakage and cracking of the gasket is solved.
Crystallinity-Induced Variation of the Strength of Electroplated Copper Thin Film in Through Silicon Vias Interconnection Structure
Authors: Luo Yifan , Miura Hideo 
Published: January 2025

Abstract
As integrated circuits develop towards higher integration and miniaturization, the diameter of single micro-interconnection structure has approached the scale of several nanometers, which means consist of only one or a few crystals in a cross-section. In such microscopic scale, some problems start to emerge. In this study, a micro-tensile test method based on the FIB system was developed and the strength of copper thin film samples were measured. The crystallinity was quantitatively determined by applying IQ values obtained from EBSD analysis. Multiple single-crystal copper and bicrystal copper specimens were used for tensile testing. By establishing a curve between the strength and IQ value of these copper samples, it was found that the strength of microscopic copper samples did not change with the IQ value monotonically. A degree of crystallinity that may meant the mechanical properties reach a criticality were realized, which would provide a basis for controlling the reliability of TSV copper interconnection structure.
Structural Design and Analysis of Lower Limb Exoskeleton Rehabilitation Robots
Authors: Liang Ruizhi , Fu Hui , Wang Xinzui 
Published: January 2025

Abstract
The lower limb exoskeleton rehabilitation robot is a type of robot that can assist patients with motor dysfunction caused by stroke in limb movement and rehabilitation training. In response to the limited applicability and low flexibility of current lower limb exoskeleton robots, this paper designs a highly adaptable lower limb exoskeleton robot through Solidworks, which has the characteristics of continuous leg length adjustment and structural simplification. The robot has a single lower limb with 3 degrees of freedom, using only the minimum but necessary degrees of freedom to achieve walking motion, thereby reducing the complexity of the mechanism. In addition, the design also avoids the negative impact of joint size on human health and foot movement, and introduces a waist width adjustment mechanism to adapt to users of different body types. Finally, using Ansys Workbench finite element analysis software, static and modal analyses were conducted on different stages of robot motion. The experimental results showed that this design scheme can achieve effective force distribution throughout the entire walking cycle, verifying the feasibility of the structural design.
Study of Multiphase Flow in Ultrafine Powder Stirred Mill Based on CFD-DEM
Authors: Ge Jingxu , Huo Chaoxia , Wang Lin , Zheng Jin , Li Guojun 
Published: January 2025

Abstract
The stirred media mill with pin-type rotor structure is one of the important equipment for manufacturing superfine powder. The CFD-DEM method is used to simulate the solid and liquid flow in the stirred mill. The velocity, collision and energy in the grinding chamber were analysed. The results show that the velocity gradient near the wall of the cylinder and agitator is large, and the velocity gradient near the cover plate on both sides is small, and the distribution of solid particles with high velocity in the grinding chamber is small; the particle distribution in the grinding cavity is not uniform, showing a tendency to pile up to the cover plate on both sides; the total energy per particle in the area near the agitator is much higher than that of the cover plate area on both sides, and the area near the agitator is the effective grinding area.
Degradation Analysis and Reliability Assessment for Fiber Optic Gyroscope with 3-Axis Dependent Degradation Processes
Authors: Wang Kun 
Published: January 2025

Abstract
As an important part of the inertial device in the ship strap-down inertial attitude measurement and navigation system, the high reliability of fiber optic gyroscopes (FOGs) is significant for the long-term precision of navigation systems and mission success for ships. Due to the combined impact of the external service environment and internal physical field, the performance of FOGs will gradually degrade. Although many studies are dedicated to the degradation analysis and reliability assessment of FOGs, few have considered the 3-axis dependent degradation processes of FOGs simultaneously. Confronted with this problem and taking the scale factor and zero bias as two main degradation characteristics of the FOGs, this paper develops the degradation path model for each marginal degradation process on each of x, y and z axis. The unknown model parameters are estimated by maximum likelihood estimation method based on accelerated degradation test data. Furthermore, considering the dependence between the two marginal degradation processes on each axis, the reliability of the FOGs is evaluated by adapting the Gaussian copula function. It can be illustrated that the proposed degradation model and reliability assessment method are effective for FOGs and other products with 3-axis dependent degradation processes.
Study of Computational Model for Closing Comfort of Automotive Door System Considering Work Done by Components
Authors: Liu Zhiguo , Sun Gang , Chen Xin 
Published: January 2025

Abstract
Due to the complexities of the vehicle door system, it is difficult to evaluate the closing comfort in the design of the automotive door system. In order to solve the problem and increase the development efficiency, based on the work of the whole process and the law of energy conservation, this paper models the power and resistance work under the closing conditions of the door system, and focuses on the construction of the work by door gravity, door limiter, sealing force of the seal, air resistance inside the seal and air resistance inside the vehicle in particular, and designs a computational model of the door closing comfort. The application of the model will effectively guide the parameter design of the door system.
Research on Simulation and Flow Characteristics of Liquid Nitrogen Jet Fire-Extinguishing Device Based on AMESim
Authors: Zhai Shikuan , Wang Lijing 
Published: January 2025

Abstract
To investigate the fire-extinguishing efficiency of liquid nitrogen in open space, this paper constructs a numerical model of a liquid nitrogen jet fire-extinguishing device through the AMESim multidisciplinary simulation platform, implementing research on the mass flow rate, the temperature of the heat leakage section, and the stabilization time of gas–liquid ratio concerning liquid nitrogen under diverse input pressures. Concurrently, this paper analyzes the deviation between the experimental results and the simulation results through the constructed experimental device of the liquid nitrogen jet system in the open space, thus exploring the impact exerted by different input pressures on the formation of the stable liquid nitrogen jet state of the system. Research findings indicate that increasing the input pressure of the system can effectively improve the stability of the liquid nitrogen jet. Specifically, in the case that the input pressure of the system exceeds 0.6 MPa, liquid nitrogen can be stably output, with a higher input pressure leading to a shorter time to produce liquid nitrogen at the nozzle. In the case that the input pressure of the system is 0.6 MPa, the liquid nitrogen jet demonstrates obvious intermittent fluctuation, so that it is impossible to form a stable jet.
Feature Extraction for Gas Turbine Rotor Fault Diagnosis in Complex Networks Based on Phase Space Method
Authors: Zhao Zhenmin , Li Jianghong , Cui Jiahang 
Published: January 2025

Abstract
Aiming at the typical fault diagnosis of gas turbine rotor imbalance, contact-rubbing and misalignment, a feature extraction method for rotor fault diagnosis in complex networks based on phase space method is proposed. The delay parameters and embedding dimension parameters of the phase space method are determined by the autocorrelation function method based on the generalized embedding window length, and then the threshold parameters of the node connection edge are added on the basis of the phase space method to construct the rotor complex network, and the network statistical characteristics such as the number of edges, the mean degree and the agglomeration coefficient are extracted. The experimental results of the rotor fault of the gas turbine scaled model results show that the proposed method can effectively distinguish the normal and different types of rotor faults. This method extracts complex network features combined with SVM fault diagnosis method and 1D-CNN method and complex network features combined with Kmeans method for experimental comparison. The fault diagnosis method proposed in this paper has higher classification accuracy and lower fault false alarm rate for different types of faults.
Study of the Influencing Factors on Underwater Radiated Noise of Fin Stabilizer
Authors: Zhong Yan , Yu Jiongmin , Li Guoping , Zhang Yi 
Published: January 2025

Abstract
Ships use anti roll fins to reduce ship roll and enhance passenger comfort. At present, there is a lot of research on the performance improvement and system control of anti roll fins, but less attention has been paid to the water generated noise around anti roll fins. To explore the underwater radiation noise characteristics and propagation laws of anti roll fins, a radiation sound analysis model for anti roll fins was established. Based on the data obtained from unsteady CFD calculations, pressure, velocity, density and other sound source data were extracted, and the FW-H equation was called to obtain the sound pressure characteristics at the specified position. Numerical analysis was conducted on the effects of factors such as airfoil, incoming flow velocity, angle of attack, span length, and fin area on the underwater radiation noise of anti roll fins, providing a theoretical basis for the development of low radiation noise anti roll fins.
On the average size of the eigenvalues of the Hecke operators
Authors: Cason William , Jim Akash , Medlock Charlie , Ross Erick , Xue Hui 
Published: January 2025

Abstract
We determine the average size of the eigenvalues of the Hecke operators acting on the cuspidal modular forms space

$$S_k(\Gamma _0(N))$$

S
k

(

Γ
0

(
N
)

)

in both the vertical and the horizontal perspective. The “average size” is measured via the quadratic mean.
Elliptic log symplectic brackets on projective bundles
Authors: Matviichuk Mykola 
Published: January 2025

Abstract
Let

$$\textsf{X}$$

X

be the product of a complex projective space and a polydisc. We study Poisson brackets on

$$\textsf{X}$$

X

that are log symplectic, that is, generically symplectic and such that the inverse 2-form has only first order poles. We propose a method of constructing such Poisson brackets that additionally are elliptic, in a precise sense. Our method relies on the local Torelli theorem for log symplectic manifolds of Pym, Schedler and the author, and uses combinatorics of smoothing diagrams. We demonstrate effectiveness of the method on a series of examples, recovering, in particular, all log symplectic cases of elliptic Feigin–Odesskii Poisson brackets

$$q_{n,k}$$

q

n
,
k

on

$$\mathbb {P}^{n-1}$$

P

n
-
1

.