bluuebunny/crossref_metadata_2025_split huggingface dataset:
Path optimization model of manipulator based on d-h parameter method and genetic algorithm
Authors: He Peiqi , Zhao Yaqin , Tan Min , Liao Bingquan 
Published: February 2025

Abstract
The Denavit-Hartenberg (D-H) parametric method is extensively utilized in the industrial machinery domain. This research explores the application of the D-H parametric method to enhance the functionality of six-degree-of-freedom manipulators, leveraging their notable flexibility and versatility to improve productivity and execution accuracy in highly automated industrial and service environments. In this research, the forward kinematics model of the manipulator is developed using the D-H parametric method. Subsequently, an optimization model is formulated with the objective of minimizing end-effector error and optimized through a genetic algorithm. Following single-objective optimization, the study incorporates energy consumption minimization as an additional objective. A dual-objective optimization model, which considers both end-effector error and energy consumption, is then constructed and optimized using a genetic algorithm. The results demonstrate a reduction in energy consumption of the six-degree-of-freedom manipulator and optimization of joint angle paths while ensuring that the end-effector error remains within an acceptable range. This research offers valuable insights for achieving efficient and precise operations in complex industrial applications and contributes to the advancement of automation technology.
Analysis of fatigue damage of frame under different influence parameters
Authors: Wu Canyan , Zhang Jiangyao , Zheng Renbin 
Published: February 2025

Abstract
The subway vehicle’s frame is crucial to its operational integrity. However, it faces potential fatigue damage due to the transmission of wheel-rail impact loads. To address this, a comprehensive study is conducted, establishing a dynamic model that considers the interaction between the vehicle and the track. This model incorporates the irregularities present in welded joints as the primary source of impact load excitation. The research is carried out from two aspects, welded joint irregularity and running speed. The results show that the wheel-rail impact force can be transmitted upward to the frame and excite the 46.3 Hz mode and 55.5 Hz mode of the frame, resulting in vibration fatigue damage. Lowering the vehicle’s running speed has been proven effective in mitigating damage caused by impact on the frame. Additionally, it reduces the maximum wheel-rail vertical force, diminishes the wheel unloading rate, and enhances the overall wheel-rail vibration environment. Reducing the fastener stiffness can effectively reduce the damage caused by wheel-rail impact on the frame.
Research on pulse induction metal detector probe based on finite element simulation
Authors: Liu Anqi , Wang Zhan , Zhang Yong 
Published: February 2025

Abstract
Metal detection technology based on the principle of electromagnetic induction has always played an important role in the field of mine detection. In metal detectors, the probe coil is an essential component, and its performance affects the overall performance of the system. This paper introduces the basic principles of pulsed electromagnetic induction and constructs a model of the metal detector probe using the finite element electromagnetic simulation software Ansys Maxwell. The study explores the impact of the coil shape and radius, the number of turns, and the coil current on the primary field generated by the probe coil, as well as the influence of different metallic target materials on the secondary field received by the coil. Finally, the effectiveness of the simulation is verified by the experiments. The research findings have certain reference significance for optimizing the best parameter configuration of the probe coil.
An automatic fuzzy neighbourhood cutting algorithm for attribute reduction
Authors: Qian Yuan , Tan Anhui , Gu Shenming 
Published: February 2025

Abstract
Neighbourhood information represents a local component of granular information and is employed to describe the distribution of neighbourhoods surrounding a given sample. Automatically choosing the proper size to determine the granularity of neighborhoods is a challenging problem. To address these issues, we introduce a cutting mechanism from fuzzy set theory to generate fuzzy neighbourhoods with automatic parameters, these parameters are the confidence level determining which samples are selected into the fuzzy neighborhood of the sample. Misclassified samples are identified by their diverse category labels within the fuzzy neighbourhood, and their distributions can reflect the performance of a classification task. Additionally, we propose a reduction algorithm (CFE) to choose a pertinent subset of attributes from the dataset. Experimental findings on actual datasets reveal the algorithm’s superiority over baseline approaches and its efficiency in eliminating misclassified neighbours.
Eigenvalue inverse the problem with generalized arrow matrices with linear relations
Authors: Huang Yi , Wang Yiyi , Li Zhibin 
Published: February 2025

Abstract
The inverse problem of eigenvalues of matrices is nowadays a popular topic in numerical algebra and is widely used in mathematical physics inverse problems. This paper studies the eigenvalue inverse of generalized arrow matrices with linear relations, in which the concept of an eigenpair is used and the existence and unambiguousness of the solution of the equation generated by the problem are shown. Recursive expressions are given according to the laws. The validity of the algorithm will be verified with exact conditions. Finally, the conclusion is drawn.
Numerical solution of elliptic partial diffe rential equations and their optimal control problems
Authors: Yu Xuemei 
Published: February 2025

Abstract
The mathematical theory of optimal control has emerged rapidly in the past few decades as an essential and independent field in applied mathematics. This theory not only has a profound theoretical foundation in the field of mathematics, but also shows strong application value in many practical application fields such as physical engineering, biological engineering and social science. In these problems, it is necessary to solve the minimization problem of a given cost function under satisfying differential equations and certain constraints. The optimal control problem studied in this paper is constrained by elliptic partial differential equations.
Convergence of compactly supported L
p

solutions of the dilation equation
Authors: Wang Min , Wu Xia , Tian Daping 
Published: February 2025

Abstract
This paper discusses the existence of compact Lp
solutions for the dilation equation. We use Iterative Function Schemes to analyze the solutions of the equation under different conditions. In d-dimensional space, the existence of the solution of the dilation equation and the necessary and sufficient conditions are discussed, and some conclusions are obtained.
New extended sidon spaces with dimension k+1
Authors: Wu Lingling , Li Yu , Fang Lin , Niu Yongfeng 
Published: February 2025

Abstract
In recent years, Sidon spaces have gained great popularity and applications in various fields such as multi-antenna communication systems, distributed storage systems, multimedia transmission, and network coding. With our further research into this field, it becomes evident that Sidon spaces are crucial in the field of constructing cyclic subspace codes. Currently, lots of papers focuse on how to construct Sidon spaces. Researchers find that through using the roots of irreducible polynomials and primitive elements over finite fields, we can sucessfully construct them. Based on the significant research conducted by previous scholars, we obtain several Sidon spaces which have new cardinality. Moreover, these Sidon spaces is beneficial to help us obtain better-performance subspace codes.
Finite element analysis of LWI-100 heat insulation block
Authors: Fu Qiang , Guo Fenyang 
Published: February 2025

Abstract
The ultimate tensile strain and fracture energy of LWI-100 were obtained by a four-point pure bending moment test and a three-point bending beam test. The finite element analysis of the heat insulation block is carried out by using fracture theory. The experimental results show that when the maximum tensile strain exceeds the ultimate tensile strain, the fracture energy of the material does not exceed the critical energy.
Optimization of out-of-plane polarization calculations for two-dimensional ferroelectric metals
Authors: Chen Jianfei , Wei Yi-Wen , Ma Yu-Quan , Lai Wenxi , Huang Wenqi 
Published: February 2025

Abstract
Due to the screening effect of conduction electrons, ferroelectricity and metallicity typically do not coexist. However, recent studies have discovered metallic ferroelectricity in two-dimensional (2D) transition metal dichalcogenides, which show potential applications in ferroelectric tunneling junctions and ferroelectric memory. During the numerical calculations of the out-of-plane polarization using the classical dipole moment method, we find that significant inaccuracies arise when the reference point is chosen beyond a certain range, due to the unreasonable cut of the periodic charge density. The resulting computational inaccuracies can be suppressed by shifting the center of the two-dimensional materials to the lattice center. Furthermore, we show that asymmetry can be introduced when the real-space grid is not symmetrically distributed around the lattice center. Since the calculated charge density is the result of the real-space grid sampling, it is advisable to ensure that the grid is symmetrically distributed around the lattice center to avoid inaccuracies. The enhancement in precision of out-of-plane polarization calculations is helpful for the prediction of new ferroelectric metals (FEMs).
Convex combination of quantum states and characterization of correlation
Authors: Liu Guangrong , Liu Yang , Li Xiangrong 
Published: February 2025

Abstract
In the study of optical quantum information, quantum teleportation can be realized by preparing multiphoton entangled states. Entanglement is a special quantum correlation, and there is also a quantum correlation in separable quantum States, which comes from the measurement of quantum states. Convex combinations of arbitrary quantum states are still quantum states. From the spectral decomposition of a quantum state, an ensemble formed by a complete eigenvector system can be determined, which corresponds to an orthogonal projection operator family with rank 1, and the convex combination of the operator family will correspond to a quantum state. The characterization of quantum correlation is an important issue in the study of quantum information theory. A Quantum state that remains unchanged under local orthogonal projection is a classical correlation state, which is not affected by decoherence. Based on the standard orthogonal basis, this paper considers the correlation of the quantum states formed by the convex combination of the operator family. According to the separability and entanglement of the ground state and the mutual dissimilarity of the corresponding non-zero eigenvalues, it is concluded that the convex combination of the operator family formed by the separable standard orthogonal basis in the composite system must be a classical correlation state. When the entangled pure state is an eigenvector, it is a quantum correlation state if the corresponding eigenvalue is a non-zero single value. In the case of multiple roots, we can illustrate that both are possible. For the correlation of unitary evolution of quantum states under different standard orthogonal bases, the evolution law is revealed by considering important quantum gates.
The static elastoplastic analysis of new multi-layer frame-bent industrial building structure
Authors: Yu Xiaoqi , Ye Jingui 
Published: February 2025

Abstract
This study aims to evaluate the seismic performance of a new type of multi-layer frame-bent structure industrial plant through the static elastoplastic analysis method. The study provides a detailed design description of the frame structure, including its basic structural characteristics, load effects, and seismic design requirements. A numerical model was established by using static elastoplastic analysis techniques, taking into account the non-uniformity of the structure’s mass and stiffness distribution, as well as the complexity of the system. Simulating the structural response under different earthquake actions, the relationship between base shear force and vertex displacement was analyzed, and the weak links of the structure were identified. The results indicate that under high-intensity earthquake action, the structure exhibits complex behavior patterns, and the top layer becomes weak due to the whip effect and sudden changes in lateral stiffness. The study emphasizes the importance of reasonably setting up top-level lateral support to enhance the stability and seismic performance of the structure.
A fixed point result involving BSS-type cyclic mapping
Authors: Wu Dingping , Weng Shengquan 
Published: February 2025

Abstract
In this manuscript, based on extended b-metric spaces, we propose a new structure of cyclic mapping, that is, BSS-type cyclic mapping. The fixed-point theorem for BSS-type cyclic mapping is established. A concrete example of BSS-type cyclic mapping is given to show the reasonability and correctness of the obtained results. The result proposed by this manuscript extends known conclusions in some references.
Analysis of the explosion venting holes in the cabin explosion on the structural response
Authors: Yang Di , Li Fei , Pan Weibo , Yu Banhai , Li Sheng 
Published: February 2025

Abstract
Firstly, the damaging effect of the internal explosion in a closed cabin by numerical simulation has been evaluated, which indicates that the pressure peak of the shock wave and the duration of positive pressure in the closed cabin has been increased at a large scale compared with the free field, and the corner-structures of the cabin have been damaged seriously under the shock wave at the same time. Then the explosion response effect of the hull superstructure which has an explosion venting hole has been analysed, and the pressure peak of the shock wave in a different location and the superstructure which has a different explosion venting hole size has been compared, which shows that the explosion venting holes have a strong impact on cabin explosion shock wave propagation, the scope and ratio of the venting explosion depend linearly on the characteristic length of explosion venting holes, and the explosion venting holes can protect the cabin corner structure within certain TNT limits. It is concluded that setting a reasonable size and proper location of the explosion venting holes can achieve the purpose of protecting the important compartments.
Heat Transfer and Flow Distribution Characteristics of Liquid Hydrogen in Parallel Channels under Non-uniform Heat Fluxes
Authors: Zou Sihan , Pei Xinyan , Liu Shanlin , Hou Lingyun 
Published: February 2025

Abstract
Efficient heat exchange technology is crucial for optimizing hydrogen-fueled engines, particularly with liquid hydrogen as the cold-side medium. This study investigates the heat transfer characteristics of liquid hydrogen in parallel channels, focusing on flow and temperature distributions. The analysis of flow resistance within these channels reveals mechanisms responsible for temperature and flow deviations in dual-channel systems. Various scenarios with different heat flux ratios and total flow rate conditions are examined to elucidate their impacts on temperature and flow deviations. Additionally, a sensitivity analysis examines the impact of variations in thermophysical properties, listed as density, specific heat at constant pressure, thermal conductivity, and viscosity—on temperature and flow deviations, highlighting the principal factors that drive these changes. This research provides a comprehensive analysis and mechanistic insights into the heat transfer behavior of liquid hydrogen in parallel channels, establishing a theoretical framework for the design of efficient liquid hydrogen heat exchangers in hydrogen-fueled engines.
The Latest Development of Powering Aircraft (Aviation) with Hydrogen and Assessing the Technology Readiness
Authors: Rakhshani B. , Murmu T. , Leslie T. , Gopalasingam D. , Zhang W. 
Published: February 2025

Abstract
To meet the aviation emissions reduction targets, the performance characteristics in terms of power output, fuel consumption and propulsive efficiencies of hydrogen-powered aircraft have been reviewed and assessed. The design performance of an aircraft model (regional turboprop ATR 72-600) retrofitted with hydrogen-based propulsive systems was investigated, and comparisons are made against the conventional jet-fuelled propulsion. The hydrogen retrofit constituted two configurations; a fuel cell (FC) powered and direct combustion design. The power characteristics of the three propulsive configurations along with the fuel consumption and efficiencies have been numerically modelled and evaluated. The hydrogen retrofits in both architectures (FC and direct combustion) have been found to perform in line with required operational parameters. They have also demonstrated high level of efficiency in terms of reduced fuel consumption up to 50% for the FC retrofit and 80% for direct combustion design. The weight factor, however, poses a significant challenge to the feasibility of the hydrogen technology.
Design of a single-phase bidirectional charger for power flow control in electric vehicles
Authors: Eti SRI LATHA ETI , Rama Sudha K 
Published: February 2025

Abstract
Environmentally friendly and a carbon neutral future highly rely on the use of Electric Vehicles for commute. The ease of charging and the accessibility of vehicle infrastructure, however, remain key factors in the mainstream adoption of Electric Vehicles. The paper focuses on the design, analysis and control of a bidirectional single ended primary inductor type converter (SEPIC). The dynamic behaviour of the converter with load variations were presented along with performance parameters which explains the operation of the bidirectional charger in Vehicle-to-X charging modes. Also, a review on the bidirectional DC-DC converter topologies is covered in this paper. Simulations were performed in MATLAB environment and the results were presented under various operating scenarios of the converter topology.
Bayesian optimization of hybrid quantum LSTM in a mixed model for precipitation forecasting
Authors: Dong Yumin , Ding Huanxin 
Published: February 2025

Abstract
Precipitation forecasting has important applications in meteorological research. Accurate forecasting is of great significance for reducing the impact of floods, optimizing crop planting plans, rationally allocating water resources, and ensuring traffic safety. However, the factors affecting precipitation are complex and nonlinear, and have spatiotemporal variability, making rainfall forecasting extremely challenging. In response to these challenges, this paper proposes a hybrid model based on temporal convolutional network (TCN), quantum long short-term memory network (QLSTM), and random forest regression (RFR) to achieve more accurate rainfall forecasting. The hyperparameters of the model are optimized using the Bayesian optimization algorithm to obtain the best performance. Experiments are conducted on meteorological datasets from Seattle and Ukraine, and the results are verified using mean absolute error (MAE), root mean square error (RMSE), and bias evaluation indicators. The results show that the proposed hybrid model outperforms traditional models such as RFR, SVM, KNN, LSTM, and QLSTM in terms of MAE, RMSE, and bias. The proposed model achieves improvements of 1.89%MAE, 2.65% RMSE, and 31% Bias, respectively. These results highlight the improved forecast accuracy and robustness of the proposed hybrid model. This research provides a new approach to weather forecasting and demonstrates the potential of combining quantum computing with traditional machine learning techniques.
Photocatalytic degradation of dye contaminants using ZnO-Hematene composite under UVA and visible light exposure
Authors: Aviles-Monreal Raul , Borbon-Nuñez Hugo , Nava-Ramos Jesus , Farías M.H. , Castillón-Barraza Felipe 
Published: February 2025

Abstract
A novel Hematene 2D nanosheets-ZnO (ZnO-Hm) composite was successfully synthesized via a facile liquid exfoliation method. AFM, TEM and UV-vis techniques confirmed the successful exfoliation of Hematene and the formation of the composite. The ZnO-Hm composite exhibited enhanced visible light absorption compared to pure ZnO, attributed to the synergistic interaction between the two materials, leading to improved photocatalytic activity for the degradation of methylene blue and rhodamine B under visible or UVA irradiation. ZnO-Hm composite exhibited complete degradation of dyes under UVA light and significantly improved degradation under visible light. Kinetic analysis revealed improved degradation rate and half-life constants for the ZnO-Hm composite compared to pure ZnO. These results suggest the potential of ZnO-Hm composite for efficient and economical water treatment applications.&#xD;
Imaging-based screen identifies novel natural compounds that perturb cell and chloroplast division in Chlamydomonas reinhardtii
Authors: Clark-Cotton Manuella R. , Chen Sheng-An , Gomez Aracely , Mulabagal Aditya , Perry Adriana , Malhotra Varenyam , Onishi Masayuki 
Published: February 2025

Successful cell division requires faithful division and segregation of organelles into daughter cells. The unicellular alga Chlamydomonas reinhardtii has a single, large chloroplast whose division is spatiotemporally coordinated with furrowing. Cytoskeletal structures form in the same plane at the midzone of the dividing chloroplast (FtsZ) and the cell (microtubules), but how these structures are coordinated is not understood. Previous work showed that loss of F-actin blocks chloroplast division but not furrow ingression, suggesting that pharmacological perturbations can disorganize these events. In this study, we developed an imaging platform to screen natural compounds that perturb cell division while monitoring FtsZ and microtubules and identified 70 unique compounds. One compound, curcumin, has been proposed to bind to both FtsZ and tubulin proteins in bacteria and eukaryotes, respectively. In C. reinhardtii, where both targets coexist and are involved in cell division, curcumin at a specific dose range caused a severe disruption of the FtsZ ring in chloroplast while leaving the furrow-associated microtubule structures largely intact. Time-lapse imaging showed that loss of FtsZ and chloroplast division failure delayed the completion of furrowing but not the initiation, suggesting that the chloroplast-division checkpoint proposed in other algae requires FtsZ or is absent altogether in C. reinhardtii. [Media: see text] [Media: see text] [Media: see text] [Media: see text] [Media: see text] [Media: see text] [Media: see text]