A5101965287- Electric and Hybrid Vehicle Technologies
- Hydraulic and Pneumatic Systems
- Vehicle Dynamics and Control Systems
- Advanced Battery Technologies Research
- Gear and Bearing Dynamics Analysis
- Mechanical Engineering and Vibrations Research
- Industrial Technology and Control Systems
- Electric Vehicles and Infrastructure
- Machine Fault Diagnosis Techniques
- Vibration and Dynamic Analysis
- Structural Health Monitoring Techniques
- Advanced Sensor and Control Systems
- Fatigue and fracture mechanics
- Vehicle emissions and performance
- Infrastructure Maintenance and Monitoring
- Structural Analysis and Optimization
- Tribology and Lubrication Engineering
- Probabilistic and Robust Engineering Design
- Robot Manipulation and Learning
- Soil Mechanics and Vehicle Dynamics
- Cryospheric studies and observations
- Seismic Waves and Analysis
- Climate change and permafrost
- Iterative Learning Control Systems
- Brake Systems and Friction Analysis
Jilin University
2016-2025
Tsinghua University
2025
China Earthquake Administration
2025
Chinese Academy of Medical Sciences & Peking Union Medical College
2024
Lanzhou University of Technology
2024
Shanghai Polytechnic University
2024
Chinese University of Hong Kong
2024
Beijing University of Technology
2021-2024
State Key Laboratory of Automotive Simulation and Control
2022-2023
Harbin Engineering University
2022-2023
Perineural invasion (PNI) and autophagy are two common features in the tumor microenvironment of pancreatic cancer (PanCa) have a negative effect on prognosis. Potential mediator cells molecular mechanism underlying their relationships need to be fully elucidated.To investigate Schwann (SCs) PNI, we reproduced PNI by collecting clinical tissue, performing sciatic nerve injection nude mice with establishing Dorsal root ganglion (DRG) coculture system cell lines. Autophagy was detected IHC,...
Strengths-based leadership helps employees identify, utilize, and develop their strengths. Does such facilitate employee work engagement performance? In this study, we integrate Job Demands-Resources (JD-R) Leader-Member Exchange (LMX) theories to hypothesize that strengths-based is positively related task performance through engagement, effect moderated by LMX quality. We collected survey data at two time points – with one month interval from 556 Chinese workers managers (N = 104 teams)....
Autonomous driving in unstructured environments is crucial for various applications, including agriculture, military, and mining. However, research significantly lags behind that structured environments, mainly due to the challenges posed by harsh environmental conditions intricate interactions between vehicles terrains. This article first categorizes path planning into hierarchical end-to-end approaches then special parts compared are emphatically reviewed, such as terrain traversability...
With the increasing attention of energy saving and emission reduction technology, recent application hybrid powertrain technology affects development construction machinery industry. This article reviews these publications provides comprehensive references. state-of-art for wheel loader excavator, which focuses on configuration, storage devices, management strategies. The basis classification characteristic each configuration are described. Advantages disadvantages batteries,...
Variational modal decomposition (VMD) is frequently employed for both signal and extracting features; however, the outcome influenced by quantity of intrinsic functions (IMFs) specific parameter values penalty factors. To tackle this issue, we propose an algorithm based on Halton sequence Laplace crossover operator sparrow search algorithm–VMD (HLSSA-VMD) to fine-tune parameters VMD. First, population initialization yields higher-quality initial solutions, which effectively addresses issue...
Hybrid Construction Machinery (HCM), known as an effective and crucial solution for the issues of environment pollution energy shortage, has aroused increasing attention from manufacturers researchers. A suitable management strategy is vital technology to determine saving emission reduction performance HCM. In present paper, difference between construction machinery automobiles first analyzed perspective configuration, energy-based HCM configuration classification method introduced analyzed....
The learning-based model predictive control (LB-MPC) is an effective and critical method to solve the path tracking problem in mobile platforms under uncertain disturbances. It well known that machine learning (ML) methods use historical real-time measurement data build data-driven prediction models. (MPC) provides integrated solution for systems with interactive variables, complex dynamics, various constraints. LB-MPC combines advantages of ML MPC. In this work, technique summarized,...
Abstract The dynamics of chromatin conformation involve continuous and reversible changes within the nucleus a cell, which participate in regulating processes such as gene expression, DNA replication, damage repair. Here, SEE is introduced, an artificial intelligence (AI) method that utilizes autoencoder transformer techniques to analyze using single‐cell RNA sequencing data limited number Hi‐C maps. employed investigate across different scales, enabling detection (i) rearrangements...
Unmanned articulated vehicles play a crucial role in the intelligent mine system and have been extensively investigated implemented fields of transportation, agriculture forestry construction. However, working environment wheeled is harsh conditions are changeable. These often accompanied by load changes, road interference excitation caused an unstructured dynamic nonlinear characteristics vehicles. The current research on path tracking control methods suitable for traditional does not meet...
Abstract We determined the first significant peak frequency (f0) and highest (fpeak) from horizontal-to-vertical spectral ratio curves for each strong motion station proposed logarithmic bilinear models VS30–f0 VS30–fpeak. Compared to standard deviation of bilinear, which is 1.3119 (0.1179 log10 units), VS30–fpeak model 1.3020 (0.1146 indicating lower uncertainty. Second, distribution, residuals, their deviations fpeak-based VS30 topographic slope-based relative measured were compared...
This paper reports an alternative method for seasonal and long-term monitoring of biomass the leaf area index (LAI) at Arctic tundra sites. Information related to historical projected change in abundance distribution LAI is required address numerous environmental resource management issues. Observations earth from satellites could potentially be used derive changes LAI. To realize this potential, ground data validation are essential; however, conventional destructive sampling measuring does...
In this paper, a modified microscopic traffic flow model accounting for the optimal velocity has been proposed. Different with previous models, drivers’ response ability and maximum of accelerations are considered in term velocity. The effect parameters on bifurcations rotary is studied here. Besides, evolvement system calculated by performing numerical simulation experiments. Moreover, linear stability analysis proposed presented.
A hybrid traffic-flow model [Wang–Zhou–Yan (WZY) model] is brought out in this paper. In WZY model, the global equilibrium velocity replaced by local one, which emphasizes that modification of vehicle based on view safe-driving rather than deployment. safe-driving, effect drivers’ estimation taken into account. Moreover, linear stability traffic has been performed. Furthermore, order to test robustness system, evolvement density wave and flow numerically calculated.
The drive torque for each motor can be performed independently the distributed electric wheel loader (DDEWL). On shovelling condition, distribution optimised according to tire load. Then parasitic power and slippage reduced, tractive force efficiency are improved. In this study, singular value decomposition unscented Kalman filter is adopted estimate Based on estimated load, vertical calculated. load rate used build optimisation objective. antiskid set as boundary condition. And a modified...
The drill pipe of a rotary rig is subject to the dynamic influence non-stationary loads, including rotation torque and applied force. In order address challenge simultaneously extrapolating multiple novel extrapolation framework proposed. This utilizes rainflow counting obtain mean amplitude sequences loads. extreme values sequence are fitted using Generalized Pareto Distribution (GPD), while median Double Kernel Density Estimation (DKDE). By Inverse Cumulative Function (ICDF) based on...