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Magnetically-actuated intracorporeal biopsy robot based on Kresling Origami

Theoretical & Applied Mechanics Letters 2025年第1期15卷 49-56页

作者： Long Huang Tingcong Xie Lairong Yin School of Automotive and Mechanical Engineering Changsha University of Science and TechnologyChangsha 410114China Hunan Provincial Key Laboratory of Intelligent Manufacturing Technology for High-performance Mechanical Equipment Changsha University of Science and TechnologyChangsha 410114China

The introduction of wireless capsule endoscopy has brought a revolutionary change in the diagnostic procedures for gastrointestinal ***,an essential procedure for disease diagnosis,has been integrated into robotic capsule endoscopy to augment diagnostic *** this study,we propose a magnetically driven biopsy robot based on a Kresling *** the bistable properties of Krelsing origami and the elasticity of the creases,a foldable structure of the robot with constant force characteristics is *** folding motion of the structure is used to deploy the needle into the target *** robot is capable of performing rolling motion under the control of an external magnetic drive system,and a fine needle biopsy technique is used to collect deep tissue *** also conduct in vitro rolling experiments and sampling experiments on apple tissues and pork tissues,which verify the performance of the robot.

关键词： Kresling origami Fine needle biopsy Magnetic actuation Constant force characteristics

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high-Temperature Stability of Mg-1Al-12Y Alloy Containing LPSO Phase and Mechanism of Its Portevin-Le Chatelier(PLC)Effect

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Acta Metallurgica Sinica(English Letters) 2024年第6期37卷 982-998页

作者： Qian-Long Ren Shuai Yuan Shi-Yu Luan Jin-Hui Wang Xiao-Wei Li Xiao-Yu Liu Qinghai Provincial Key Laboratory of New Light Alloys Qinghai Provincial Engineering Research Center of High Performance Light Metal Alloys and FormingQinghai UniversityXining810016China School of Materials Science and Engineering Shenyang University of TechnologyShenyang110870China

In this study,the high-temperature stability and the generation mechanism of the Portevin-Le Chatelier(PLC)effect in solid-solution Mg-1Al-12Y alloy with different heat treatment processes were investigated by adjusting the content of long-period stacking ordered(LPSO)*** was found that the content of LPSO phases in the alloys differed the most after heat treatment at 530℃for 16 h and 24 h,with values of 13.56%and 3.93%***,high-temperature tensile experiments were conducted on these two alloys at temperatures of 150℃,200℃,250℃,and 300℃.The results showed that both alloys exhibited the PLC effect at temperatures ranging from 150 to 250℃.However,at a temperature 300℃,only the alloy with a greater concentration of LPSO phases exhibited the PLC effect,whereas the alloy with a lower proportion of LPSO phases did not exhibit this ***,both alloys exhibited remarkable high-temperature stability,with the alloy containing a greater percentage of LPSO phases also demonstrating superior *** underlying mechanism for this phenomenon lies in the exceptional high-temperature stability exhibited by the second phase within the ***,the LPSO phase effectively obstructs the movement of dislocations,and it also undergoing kinking to facilitate plastic deformation of the *** results indicate that the PLC effect can be suppressed by reducing dislocation pile-up at grain boundaries,which leads to a decrease in alloy plasticity but an increase in *** presence of the PLC effect in the WA121 alloy is attributed to the abundant dispersed second phase within the alloy,which initially hinders the movement of dislocations,leading to an increase in stress,and subsequently releases the dislocations,allowing them to continue their movement and thereby reducing in stress.

关键词： Magnesium alloy Long-period stacking ordered(LPSO)phase Portevin-Le Chatelier effect high temperature

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A Stable Arbitrarily high Order Time-Stepping Method for Thermal Phase Change Problems

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Communications in Computational Physics 2023年第2期33卷 477-510页

作者： Weiwen Wang Chuanju Xu School of Mathematical Sciences and Fujian Provincial Key Laboratory of MathematicalModeling and High Performance Scientific Computing Xiamen UniversityXiamen 361005P.R.China.

Thermal phase change problems are widespread in mathematics,nature,and *** are particularly useful in simulating the phenomena of melting and solidification in materials *** this paper we propose a novel class of arbitrarily high-order and unconditionally energy stable schemes for a thermal phase changemodel,which is the coupling of a heat transfer equation and a phase field *** unconditional energy stability and consistency error estimates are rigorously proved for the proposed schemes.A detailed implementation demonstrates that the proposed method requires only the solution of a system of linear elliptic equations at each time step,with an efficient scheme of sufficient accuracy to calculate the solution at the first *** is observed from the comparison with the classical explicit Runge-Kutta method that the new schemes allow to use larger time *** time step size strategies can be applied to further benefit from this unconditional *** experiments are presented to verify the theoretical claims and to illustrate the accuracy and effectiveness of our method.

关键词： Thermal phase change problem gradient flows unconditional energy stability auxiliary variable Runge-Kutta methods phase field

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State-of-the-art Review of Metallic Microneedles:Structure,Fabrication,and Application

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Chinese Journal of Mechanical Engineering 2025年第1期38卷 84-105页

作者： Zhishan Yuan Hongzhao Zhang Wentao Hu Xiao Yu Si Qin Chengyong Wang Fenglin Zhang School of Electro-Mechanical Engineering Guangdong University of TechnologyGuangzhou 510006China Guangdong Provincial Key Laboratory of Minimally Invasive Surgical Instruments and Manufacturing Technology Guangdong University of TechnologyGuangzhou 510006China State Key Laboratory for High Performance Tools Guangdong University of TechnologyGuangzhou 510006China Smart Medical Innovation Technology Center Guangdong University of TechnologyGuangzhou 510006China Department of Dermatology Guangdong Second Provincial General HospitalGuangzhou 510006China

Microneedle(MN)is a medical device containing an array of needles with a *** can penetrate the human stratum corneum painlessly and efficiently for treatment and diagnosis ***,the materials commonly used to manufacture MNs include silicon,polymers,ceramics and *** MNs(MMNs)have drawn significant attention owing to its superior mechanical properties,machinability,and *** paper is a state-of-the-art review of the structure,fabrication technologies,and applications of *** to the relative position of the axis of MN and the plane of the substrate,MMNs can be divided into in-plane and ***,hollow,coated and porous MMNs are also employed to characterize their internal and surface *** now,numerous fabrication technologies,including cutting tool machining,non-traditional machining,etching,hot-forming,and additive manufacturing,have been used to fabricate *** recent advances in the application of MMNs in drug delivery,disease diagnosis,and cosmetology are also discussed ***,the shortcomings in the fabrication and application of MMNs and future directions for development are highlighted.

关键词： Metal Microneedles Structure Fabrication Application

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RKDG Methods with Multi-resolution WENO Limiters for Solving Steady-State Problems on Triangular Meshes

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Communications on Applied Mathematics and Computation 2024年第3期6卷 1575-1599页

作者： Jun Zhu Chi-Wang Shu Jianxian Qiu State Key Laboratory of Mechanics and Control of Mechanical Structures and Key Laboratory of Mathematical Modelling and High Performance Computing of Air Vehicles(NUAA) MIITNanjing University of Aeronautics and AstronauticsNanjing 210016JiangsuChina Division of Applied Mathematics Brown UniversityProvidenceRI 02912USA School of Mathematical Sciences and Fujian Provincial Key Laboratory of Mathematical Modeling and High-Performance Scientific ComputingXiamen UniversityXiamen 361005FujianChina

In this paper, we design high-order Runge-Kutta discontinuous Galerkin (RKDG) methods with multi-resolution weighted essentially non-oscillatory (multi-resolution WENO) limiters to compute compressible steady-state problems on triangular meshes. A troubled cell indicator extended from structured meshes to unstructured meshes is constructed to identify triangular cells in which the application of the limiting procedures is required. In such troubled cells, the multi-resolution WENO limiting methods are used to the hierarchical L^(2) projection polynomial sequence of the DG solution. Through using the RKDG methods with multi-resolution WENO limiters, the optimal high-order accuracy can be gradually reduced to first-order in the triangular troubled cells, so that the shock wave oscillations can be well suppressed. In steady-state simulations on triangular meshes, the numerical residual converges to near machine zero. The proposed spatial reconstruction methods enhance the robustness of classical DG methods on triangular meshes. The good results of these RKDG methods with multi-resolution WENO limiters are verified by a series of two-dimensional steady-state problems.

关键词： RKDG method Steady-state problem Multi-resolution WENO limiter Triangular mesh Machine zero

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swDarknet: A Heterogeneous Parallel Deep Learning Framework Suitable for SW26010 Pro Processor 20th

swDarknet: A Heterogeneous Parallel Deep Learning Framework ...

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20th IFIP WG 10.3 International Conference on Network and Parallel computing, NPC 2024

作者： Liu, Huazeng Tian, Min Wu, Xiaoming Yang, Meihong Ren, Zenghui Li, Yanlong Jinan China Jinan Key Laboratory of High Performance Computing Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China

ISBN: (纸本)9789819628292

As the size of AI models grows dramatically to achieve higher accuracy, more and more models are trained on supercomputers with massive computing and memory. However, it is still challenging to accelerate deep learning applications on supercomputer systems with many-core architectures. In this paper, we propose swDarknet: a Darknet-based heterogeneous parallel deep learning framework on the SW26010 Pro processor. First, We designed three heterogeneous parallel DNN layers: adaptive block-splitting strategy for matrix-multiplication layer, optimized memory access for convolutional layer, and block-based parallel pooling layer. Second, we proposed a model averaging (MA) method to efficiently scale swDarknet across many processors. Finally, we evaluated the performance of swDarknet on a core group. As compared with darknet, the convolutional layers achieved an average speedup of 32x. When training AlexNet and VGG-16, swDarknet can achieve up to 36.79× and 181.35× speedup, respectively. © IFIP International Federation for Information Processing 2025.

关键词： Supercomputers

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Passive on-chip isolators based on the thin-film lithium niobate platform

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Chinese Physics B 2025年第3期34卷 408-413页

作者： Jiacheng Liu Gongyu Xia Qilin Hong Pingyu Zhu Kai-Kai Zhang keyu Xia Ping Xu Shiqiao Qin Zhihong Zhu College of Advanced Interdisciplinary Studies&Hunan Provincial Key Laboratory of Novel Nano Optoelectronic Information Materials and Devices National University of Defense TechnologyChangsha 410073China Institute for Quantum Information and State Key Laboratory of High-Performance Computing College of Computer Science and TechnologyNational University of Defense TechnologyChangsha 410073China College of Engineering and Applied Sciences National Laboratory of Solid State Microstructuresand Collaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing 210023China

Optical isolators,the photonic analogs of electronic diodes,are essential for ensuring the unidirectional flow of light in optical systems,thereby mitigating the destabilizing effects of back ***-film lithium niobate(TFLN),hailed as“the silicon of photonics,”has emerged as a pivotal material in the realm of chip-scale nonlinear optics,propelling the demand for compact optical *** report a breakthrough in the development of a fully passive,integrated optical isolator on the TFLN platform,leveraging the Kerr effect to achieve an impressive 10.3 dB of isolation with a minimal insertion loss of 1.87 *** theoretical simulations have demonstrated that our design,when applied to a microring resonator with a Q factor of 5×10^(6),can achieve 20 dB of isolation with an input power of merely 8 *** advancement underscores the immense potential of lithium niobate-based Kerr-effect isolators in propelling the integration and application of high-performance on-chip lasers,heralding a new era in integrated photonics.

关键词： thin-film lithium niobate Kerr effect optical isolator

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An oscillation-free Hermite WENO scheme for hyperbolic conservation laws

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Science China Mathematics 2024年第2期67卷 431-454页

作者： Zhuang Zhao Jianxian Qiu School of Mathematical Sciences and Institute of Natural Sciences Shanghai Jiao Tong UniversityShanghai 200240China School of Mathematical Sciences and Fujian Provincial Key Laboratory of Mathematical Modeling and High-Performance Scientific Computing Xiamen UniversityXiamen 361005China

In this paper, the sixth-order oscillation-free Hermite weighted essentially non-oscillatory (OFHWENO) scheme is proposed for hyperbolic conservation laws on structured meshes, where the zeroth- andfirst-order moments are the variables for the governing equations. The main difference from other HWENOschemes existing in the literature is that we add high-order numerical damping terms in the first-order momentequations to control spurious oscillations for the OF-HWENO scheme. The OF-HWENO scheme not only canachieve the designed optimal numerical order, but also can be easily implemented as we use only one set ofstencils in the reconstruction procedure and the same reconstructed polynomials are applied for the zeroth- andfirst-order moment equations. In order to obtain the adaptive order resolution when facing discontinuities, atransition polynomial is added in the reconstruction, where the associated linear weights can also be any positivenumbers as long as their summation equals one. In addition, the OF-HWENO scheme still keeps compactnessas only immediate neighbor values are needed in the space discretization. Some benchmark numerical tests areperformed to illustrate the high-order accuracy, high resolution and robustness of the proposed scheme.

关键词： Hermite WENO scheme hyperbolic conservation laws oscillation-free adaptive order discontinuous Galerkin method

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A widely used nonionic surfactant with desired functional groups as aqueous electrolyte additives for stabilizing Zn anode

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Rare Metals 2024年第8期43卷 3692-3701页

作者： Yue-Xian Song Xiao-Feng Wang Cai-Bin Liu Kai-Xuan Guo Xu-Huan Guo Xiao-Bin Zhong Yao-Hui Zhang Kai Wang Hui-Juan Guo Li-Xin Zhang Jun-Fei Liang School of Energy and Power Engineering North University of ChinaTaiyuan 030051China Key Laboratory of Green Chemical Process of Ministry of Education Hubei Key Laboratory of Novel Chemical Reactor and Green Chemical TechnologySchool of Chemical Engineering and PharmacyWuhan Institute of TechnologyWuhan 430073China Shanxi Provincial Key Laboratory for High Performance Battery Materials and Devices Taiyuan 030051China

Aqueous Zn-ion batteries(AZIBs) have emerged as potential candidates for Li-ion batteries due to their intrinsic safety and high ***,metallic Zn anodes encounter dendrite growth and water-induced corrosion,rendering poor stability and severe irreversibility at the electrode/electrolyte interface during *** stabilize the Zn anode,we report a low-cost and effective nonionic surfactant,Tween-20 polymer,as an electrolyte additive for *** Tween-20,sequential oxyethylene groups tended to be preferentially adsorbed on the Zn electrode to form a shielding layer for regulating uniform Zn ***,the hydrophobic hendecyl chains prevented H_(2)O-induced corrosion on the Zn anode *** from the desired functional groups,when only trace amounts of Tween-20(0.050 g·L^(-1)) were used,the Zn anode displayed good cycling stability over 2170 h at10 mA·cm^(-2) and a high average Coulombic efficiency of98.94% over 1000 *** Tween-20 polymer can also be effectively employed in MnO_(2)/Zn full *** their toxicity,price and amount of usage,these surfactant additives provide a promising strategy for realizing the stability and reversibility of high-performance Zn anodes.

关键词： Zn anode Dendrite growth Tween-20 polymer Surfactant additive Aqueous electrolyte

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HeFormer: A Lightweight Transformer Combining Hash Estimation for Link Prediction 27th

HeFormer: A Lightweight Transformer Combining Hash Estimatio...

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27th International Conference on Pattern Recognition, ICPR 2024

作者： Sun, Teng Xiao, Xiaoqiang Zhang, Xu Ning, Weixun School of Computer National University of Defense Technology Changsha China State Key Laboratory of High Performance Computing Changsha China

ISBN: (纸本)9783031783944

Link Prediction(LP) is a fundamental problem in graph machine learning that aims to predict the existence of links between nodes. Most current research on LP adopts Graph Neural Networks (GNNs) to learn the representation of subgraphs, but fails to efficiently capture global topological information in large graphs. In response to this issue, we focus on the global attention mechanism of Transformers. Nevertheless, original Transformers are not inherently suitable for learning graph-structured data, and their deep multi-head attention architecture has been limited by prohibitive compute and memory costs. In this work, we propose a lightweight model: a single-layer, single-head Transformer, which constructs subgraph structural features based on hash estimation. It provides a new perspective for applying Transformers in graph-structured data processing. Firstly, we utilize MinHash and HyperLogLog techniques to estimate the structural information of subgraphs, then fuse subgraph structural features with node features to achieve efficient message passing. In this case, our model does not need to extract or manipulate enclosed subgraphs, and structural features can be preprocessed. Additionally, we design a single-layer, single-head Transformer as the encoder for graph-structured data, utilizing the attention mechanism to capture global effects. Meanwhile, our model does not require extra positional encoding, which significantly reduce computational complexity. Extensive experiments demonstrate that our model achieves optimal prediction accuracy on large-scale datasets with high efficiency. The code is available at https://***/sunteng6/HeFormer. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Graph neural networks

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