A5038701581- Robotic Mechanisms and Dynamics
- Structural Analysis and Optimization
- Advanced Graph Neural Networks
- Domain Adaptation and Few-Shot Learning
- Mechanical Engineering and Vibrations Research
- Dynamics and Control of Mechanical Systems
- GaN-based semiconductor devices and materials
- Neural and Behavioral Psychology Studies
- Manufacturing Process and Optimization
- Advanced Materials and Mechanics
- Mechanics and Biomechanics Studies
- Color perception and design
- Semiconductor materials and devices
- Advanced Surface Polishing Techniques
- Modular Robots and Swarm Intelligence
- Complex Network Analysis Techniques
- Multimodal Machine Learning Applications
- Soft Robotics and Applications
- Advanced Steganography and Watermarking Techniques
- Semiconductor Quantum Structures and Devices
- Advanced Numerical Analysis Techniques
- Robot Manipulation and Learning
- Bone Tissue Engineering Materials
- Consumer Retail Behavior Studies
- Recommender Systems and Techniques
Zhejiang University
2010-2024
Guiyang Medical University
2024
Guizhou Provincial People's Hospital
2024
China Electronics Technology Group Corporation
2021-2023
South China University of Technology
2018-2022
National Research Center for Rehabilitation Technical Aids
2018-2022
First Affiliated Hospital Zhejiang University
2022
Alibaba Group (China)
2020-2022
Ningbo University
2022
Xi'an Aeronautical University
2021-2022
During a successful pregnancy, the maternal immune system plays critical role in maintaining immunotolerance towards semi-allogeneic fetal antigens. Recent studies have indicated that myeloid-derived suppressor cells (MDSCs) are active players establishing fetal-maternal tolerance; however, underlying mechanism remains poorly understood. In this study, we observed significant expansion of monocytic MDSCs (M-MDSCs) peripheral blood pregnant women, which suppressed T cell responses reactive...
Graph classification aims to extract accurate information from graph-structured data for and is becoming more important in the graph learning community. Although Neural Networks (GNNs) have been successfully applied tasks, most of them overlook scarcity labeled many applications. For example, bioinformatics, obtaining protein labels usually needs laborious experiments. Recently, few-shot has explored alleviate this problem with only a few samples test classes. The shared sub-structures...
Graph clustering is a fundamental task in graph analysis, and recent advances utilizing neural networks (GNNs) have shown impressive results. Despite the success of existing GNN-based methods, they often overlook quality structure, which inherent real-world graphs due to their sparse multifarious nature, leading subpar performance. structure learning allows refining input by adding missing links removing spurious connections. However, previous endeavors predominantly centered around...
Direct laser writing (DLW) waveguides are promising for next-generation integrated photonic devices. Accurately measuring the two-dimensional (2D) refractive index distribution (RID) of DLW is crucial their implementation. However, complex structures present real challenges in 2D RIDs. This paper proposes a method RID with by combining modified near field (MNF) and quantitative phase imaging technique. The qualitative calculated according to intensity profile using MNF method, from which...
Abstract A series of (Pr, Ce)‐ZrSiO 4 ceramic pigments were synthesized and characterized using XRD , SEM EDS XPS XRF colorimeter, a UV ‐ VIS NIR spectrometer. The prepared mainly composed the zircon phase well crystallized. Only specific amount Pr was incorporated into ZrSiO lattice. Compared with Pr, Ce almost completely lattice homogeneously distributed within pigment particles. dopant reduced dissolved in thus caused b * values samples to decrease slightly. Meanwhile, presence induced an...
ObjectiveIn recent decades, thyroid cancer (TC) has exhibited a rising incidence pattern. Elevated levels of the transcription factor FOXP4 have been strongly linked to progression diverse tumors; nevertheless, its specific role in remains underexplored. The primary objective this study was elucidate functions and associated target gene, FBXW7, context cancer.MethodsFOXP4 FBXW7 expression TC tissues cell lines were assessed through immunohistochemistry RT-qPCR analyses. functional aspects...
We propose a new framework to rank image attractiveness using novel pairwise deep network trained with large set of side-by-side multi-labeled pairs from web index. The judges only provide relative ranking between two images without the need directly assign an absolute score, or rate any predefined attribute, thus making rating more intuitive and accurate. investigate net (DARN), combination convolutional neural net, learn score mean variance for each underlying criteria use label pair....
Response time (RT) is an oft-reported behavioral measure in psychological and neurocognitive experiments, but the high level of observed trial-to-trial variability this has often limited its usefulness. Here, we combine computational modeling psychophysics to examine hypothesis that fluctuations noisy reflect dynamic computations human statistical learning corresponding cognitive adjustments. We present data from stop-signal task (SST), which subjects respond a go stimulus on each trial,...
The temperature dependence of the specific contact resistance in annealed Ti/Al/Ni/Au multilayers on (NH4)2Sx treated n-type GaN has been studied range from 25 to 600 °C by transmission line technique. It is found that resistivity ρc sample with solution for 5 min at 90 decreases increasing measuring temperature, while increases temperature. Excellent agreement “5 treated” can be obtained field emission model an average Schottky barrier height (SBH) ϕB=1.05 eV. Meanwhile, a...
Biphasic calcium phosphate (BCP) scaffold has been widely applied to bone regeneration because of its good biocompatibility and conduction property. However, the low mechanical strength lack angiogenic osteogenic induction properties have restricted application in tissue regeneration. In this study, we combined zinc (Zn 2+ ) doping silk fibroin (SF) coating with expectation enhance compressive strength, osteogenesis angiogenesis BCP scaffolds. The phase composition, morphology, porosity,...
Implicit neural representations (INRs) aim to learn a continuous function (i.e., network) represent an image, where the input and output of are pixel coordinates RGB/Gray values, respectively. However, images tend consist many objects whose colors not perfectly consistent, resulting in challenge that image is actually discontinuous piecewise cannot be well estimated by function. In this paper, we empirically investigate if network enforced fit reach fixed small error, time costs will...
Inhibitory control, the ability to stop or modify preplanned actions under changing task conditions, is an important component of cognitive functions. Two lines models inhibitory control have previously been proposed for human response in classical stop-signal task, which subjects must inhibit a default go upon presentation infrequent signal: (1) race model, posits two independent and processes that determine behavioral outcome, stop; (2) optimal decision-making observers decides whether...
High-field carrier transport properties probed by pulsed current-voltage characteristics in n-type GaN epilayers have been investigated at room temperature. The threshold electric field of the Gunn effect is experimentally determined to be about 400 kV/cm with an electron peak velocity 1.9×107 cm/s. current-controlled negative differential resistance induced Gunn-type instability observed, which takes early breakdown charge.