- Robotic Locomotion and Control
- Prosthetics and Rehabilitation Robotics
- Hydraulic and Pneumatic Systems
- Welding Techniques and Residual Stresses
- Advanced Combustion Engine Technologies
- Industrial Technology and Control Systems
- Fault Detection and Control Systems
- CO2 Reduction Techniques and Catalysts
- Fuel Cells and Related Materials
- Machine Fault Diagnosis Techniques
- Data Visualization and Analytics
- Vehicle emissions and performance
- Covalent Organic Framework Applications
- Advanced Sensor and Energy Harvesting Materials
- Advanced Algorithms and Applications
- Advanced Sensor and Control Systems
- Natural Language Processing Techniques
- Robotic Mechanisms and Dynamics
- Handwritten Text Recognition Techniques
- Advanced Memory and Neural Computing
- Ammonia Synthesis and Nitrogen Reduction
- Mechanical Failure Analysis and Simulation
- Modeling and Simulation Systems
- Combustion and flame dynamics
- Ferroptosis and cancer prognosis
Longdong University
2019-2025
Northwestern Polytechnical University
2019-2025
Xi'an Jiaotong University
2024
Peking University
2022-2023
National Health and Family Planning Commission
2022-2023
Ministry of Education of the People's Republic of China
2022-2023
Southern University of Science and Technology
2022-2023
First Automotive Works (China)
2008-2023
Cytoskeleton (United States)
2020
Kunming Third People's Hospital
2019
The advancement of metal-air batteries is critically contingent on the progression efficient catalysts for oxygen reduction reaction (ORR). potential applications a series FeN
The Hippo-YAP (yes-associated protein) signaling pathway is modulated in response to various environmental cues. Activation of YAP vascular smooth muscle cells conveys the extracellular matrix stiffness-induced changes phenotype and behavior. Recent studies have established a mechanoreceptive role receptor tyrosine kinase DDR1 (discoidin domain 1) cells.We conduced 5/6 nephrectomy cells-specific Ddr1-knockout mice, accompanied by pharmacological inhibition Hippo LATS1 (large tumor suppressor...
Electrolyte alkaline cations can significantly modulate the reaction selectivity of electrochemical CO2 reduction (eCO2R), enhancing yield valuable multicarbon (C2+) chemical feedstocks. However, mechanism underlying this cation effect on C–C coupling remains unclear. Herein, by performing constant-potential AIMD simulations, we studied dynamic behavior interfacial K+ ions over Cu surfaces during and origin effect. We showed that specific adsorption readily occurs at surface sites adjacent...
The rotary direct drive electro-hydraulic servo valve (RDDPV) is extensively employed in hydraulic systems across aerospace, automotive, and various industrial sectors owing to its remarkable precision rapid response characteristics. investigation of the durability life such devices, constituting intricate amalgamations mechanical, electrical, components, has perennially posed a formidable challenge. To address this challenge, our study proposes methodology grounded failure mechanisms...
Skin cancer is one of the most deadly types with considerable number patients. Image analysis has largely improved automated diagnosis accuracy for malignant melanoma and other pigmented skin lesions, compared to unaided visual examination. Recent popular solution lesion classification using deep neural networks, trained from large amounts professional annotated data, but that limits model's scalability. This paper exploits transfer learning task help labeled data another domain (source),...
Abstract The conventional covalent organic framework (COF)‐based electrolytes with tailored ionic conducting behaviors are typically fabricated in the powder morphology, requiring further compaction procedures to operate as solid electrolyte tablets, which hinders large‐scale manufacturing of COF materials. In this study, we present a feasible electrospinning strategy prepare scalable, self‐supporting membranes (COMs) that feature rigid skeleton bonded flexible, lithiophilic polyethylene...
All-solid-state ionic conductive elastomers (ASSICEs) are emerging as a promising alternative to hydrogels and ionogels in flexible electronics. Nevertheless, the synthesis of ASSICEs with concomitant mechanical robustness, superior conductivity, cost-effective recyclability poses formidable challenge, primarily attributed inherent contradiction between strength conductivity. Herein, we present collaborative design high-entropy topological network multivalent ion-dipole interaction for...
This paper presents a novel framework of hydraulic-driven biped robot. The target robot is humanoid NWPUBR-1 with 12 degrees freedom (DOF), and its dimensions are close to that an average male. joint axis adopts the modular structure design sensor angle measurement, force deployed on side hydraulic actuator facilitate position control Meanwhile, finite element analysis critical components conducted meet requirements mechanical strength in motion. Based screw theory, forward kinematics...
To maintain mechanistic stability while tracking the designated walking route, a robot must be cognizant of employed posture. Generally, visual-inertial odometer (VIO) is utilized for state estimation; however, traditional cubature Kalman filter VIO (CKF-VIO) cannot transfer rotational uncertainty and compensate system's processing error. effectively improve accuracy rigid body pose estimation, this paper proposes matrix Lie group representation-based CKF framework which characterizes...
Abstract Achieving asymptotic and concurrent fault diagnosis in hydraulic system remains a challenging endeavor due to the inherent attributes of hidden occurrence, simultaneous manifestation, coupling, limited sample size. To address above issues, this paper proposes hierarchical multi-output detection framework, namely, HMDF, based on learning strategy leverage an improved convolutional neural network (CNN) support vector machine (SVM). Both multi-channel CNN multi-branch are employed...
The gait generation algorithm considering both step distance adjustment and duration could improve the anti-disturbance ability of humanoid robot, which is very important to dynamic balance, but often brings non-convex optimization problems. In order avoid this situation robustness generator, a mechanism based on flexible model predictive control proposed in article. Specifically, are set be objectives, while change pressure center treated as optimal input minimize those objectives. With...
Using pulsed double electrode-gas metal arc welding, aluminum wires are joined to copper plates with fillers of different fractions silicon. Two layers microstructures formed near the Al-Cu interface: one consists a hypoeutectic microstructure α (Al) + Al2Cu, and other an intermetallic compound (IMC) Al2Cu. Increasing heat input causes increases in thicknesses IMC layer microstructure. Si suppresses growth assists The effects interface chemical compositions on electric resistivity joints...
As the first step for biped robots to enter human life, robust walking is a difficult problem be solved owing various algorithms and practical engineering issues being involved. This paper studies humanoid by using divergence component of motion (DCM) method based on linear inverted pendulum model. Firstly, we implement DCM trajectory planning simplify process. It calculates trajectories under requirements speed initial state system. Then, feedback controller with anti-disturbance ability...
This paper presents the air-path health management strategy with ability to estimate mass-flows and mitigate (adapt to) faults in exhaust system of a heavy-duty diesel combustion engine equipped twin-scroll turbine. Based on component models applied quasi-steady-state mass-balancing approach, two main mass-flow quantities are estimated: Air (AMF) Exhaust gas recirculation (EGR) mass-flow. The is monitoring for three kinds that can occur through operation, related either after-treatment...
Abstract The diagnosis and evaluation of traumatic brain injury (TBI) are crucial steps toward the treatment prognosis patients. A common question remains as to whether it is possible introduce an ideal device for signal detection that can directly connect digital signals with TBI, thereby enabling prompt response sensitive specific functioning process. Herein, a method presented utilizing polymetric porous membranes TRTK‐12 peptide‐modified nanochannels S100B (a TBI biomarker) assessment...
Abstract Flexible manipulators are longer and lighter, which allows them to undergo elastic deformation vibration. It affects the working accuracy flexibility of robot. To enhance robot positioning, accurate dynamics modeling analysis essential. Therefore, using space spinor theory, this paper proposes a dynamic method for three-dimensional flexible manipulator with coupled further analyzes its deformation. First, is described based on Rayleigh–Ritz six-dimensional variables. Combining...
<title>Abstract</title> Gearbox bearings are crucial components in numerous mechanical systems. These gearboxes typically operate environments characterized by significant noise, causing their fault signals to be obscured background interference, vibrations, and from other parts. This interference complicates the accurate extraction diagnosis of characteristics complex data. To address this challenge, we propose a novel bearing model that integrates Variational Mode Decomposition (VMD),...