Yang Cao

ORCID: 0000-0003-3111-5751
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About
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Research Areas
  • Microstructure and Mechanical Properties of Steels
  • Metallurgy and Material Forming
  • Extracellular vesicles in disease
  • Advanced biosensing and bioanalysis techniques
  • MicroRNA in disease regulation
  • Generative Adversarial Networks and Image Synthesis
  • Fault Detection and Control Systems
  • Advanced Photocatalysis Techniques
  • Immune cells in cancer
  • Electromagnetic wave absorption materials
  • Iron oxide chemistry and applications
  • Pneumonia and Respiratory Infections
  • Microstructure and mechanical properties
  • Respiratory viral infections research
  • Advanced Nanomaterials in Catalysis
  • E-commerce and Technology Innovations
  • Natural Language Processing Techniques
  • Acoustic Wave Resonator Technologies
  • Multimodal Machine Learning Applications
  • Lignin and Wood Chemistry
  • Fiber-reinforced polymer composites
  • Advanced Battery Technologies Research
  • Traditional Chinese Medicine Studies
  • Construction Project Management and Performance
  • Optical Systems and Laser Technology

Guizhou University
2025

Nantong University
2025

Harvard University
2024-2025

Hohai University
2022-2024

Shanghai Academy of Environmental Sciences
2024

Jilin University
2024

North University of China
2024

Second Hospital of Tianjin Medical University
2024

Public Health Department
2024

China University of Petroleum, Beijing
2024

The deregulation of microRNAs (miRNAs) plays an important role in human hepatocarcinogenesis. In this study, we highlight exosomes as mediators involved modulating miRNA profiles hepatocellular carcinoma (HCC) cells. First, examined the different expression HCC cells and cell–derived exosomes. Next, coculture experiments indicated that promoted cell growth, migration, invasion had ability to shuttle miRNAs recipient Further, our data showed Vps4A, a key regulator exosome biogenesis, was...

10.1002/hep.27660 article EN Hepatology 2014-12-13

Multiprincipal element alloys usually exhibit earlier pop-in events than pure metals and dilute solid solutions during nanoindentation experiments. To understand the origin of this phenomenon, large-scale atomic simulations were performed on a series metallic materials to investigate underlying physics incipient plasticity at nanoscale. Statistical result shows that lattice distortion δ normalized critical pressure

10.1021/acs.nanolett.4c02086 article EN Nano Letters 2024-07-12

10.1109/cvpr52733.2024.00828 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024-06-16

To address the challenge of wastewater remediation, a double-defect Z-type heterojunction S-doped graphitic carbon nitride-modified O-vacancy Fe2O3 (labeled as SFCN) material was designed and prepared. Its catalytic performance evaluated using tetracycline (TCH), chlortetracycline (CTC), oxytetracycline (OTC). Under synergistic effect sites heterojunction, SFCN degraded 82.8% TCH, 79.7% CTC, 66.5% OTC after visible-light irradiation for 90 min. The act charge acceptors to substantially...

10.2139/ssrn.5092260 preprint EN 2025-01-01

Mycoplasma pneumoniae (MP) is a common pathogen for respiratory infections in children. Previous studies have reported tract microbial disturbances associated with MP infection (MPI); however, since the COVID-19 pandemic, virome data school-aged children MPI remains insufficient. This study aims to explore changes caused by after pandemic enrich local epidemiological data. Clinical samples from 70 (70 throat swab and bronchoalveolar lavage fluid (BALF) samples) 78 healthy controls (78 were...

10.1186/s12985-025-02626-9 article EN cc-by-nc-nd Virology Journal 2025-01-13

An enhanced chaotic particle swarm optimization fuzzy PID is introduced to address the hydraulic wind turbine grid-connected speed control conditions. In algorithm, a Circle mapping combined with (PSO) prevent PSO from becoming trapped in local optima. Moreover, linear inertia weight reduction strategy integrated harmonize algorithm’s capacity for expansive exploration and meticulous exploitation. Then, algorithm utilized adjust perfect configuration variables within system. Based on...

10.3390/a18040187 article EN cc-by Algorithms 2025-03-25

Large language models (LLMs) have shown state-of-the-art results in translating natural questions into SQL queries (Text-to-SQL), a long-standing challenge within the database community. However, security concerns remain largely unexplored, particularly threat of backdoor attacks, which can introduce malicious behaviors through fine-tuning with poisoned datasets. In this work, we systematically investigate vulnerabilities LLM-based Text-to-SQL and present ToxicSQL, novel attack framework....

10.48550/arxiv.2503.05445 preprint EN arXiv (Cornell University) 2025-03-07

The determination of the relationships between rolling parameters and mechanical properties by high-precision deep learning is important for predicting controlling yield strength (YS) hot rolled steels, however, most their YS-labeled samples are insufficient modeling. In this study, a small dataset an unlabeled big were firstly collected then reconstructed to be microstructures physical metallurgical principles. Before being used label with calculated YS, strengthening mechanism-based...

10.1016/j.matdes.2022.111269 article EN cc-by-nc-nd Materials & Design 2022-10-18

Abstract The imbalance between osteoblasts and osteoclasts is the cause of osteoporosis. Milk-derived extracellular vesicles (mEVs), excellent drug delivery nanocarriers, can promote bone formation inhibit resorption. In this study, we conjugated bone-targeting peptide (AspSerSer, DSS)6 to mEVs by click chemistry then loaded with SRT2104, a SIRT1 (silent mating-type information regulation 2 homolog 1) agonist that was proofed help reduce loss. engineered (DSS)6-mEV-SRT2104 had intrinsic...

10.1093/rb/rbae112 article EN cc-by Regenerative Biomaterials 2024-01-01

10.1109/cvprw63382.2024.00585 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2024-06-17

Abstract Background Overconsumption of retinoic acid (RA) or its analogues/derivatives has been linked to severe craniomaxillofacial malformations, such as cleft palate and midface hypoplasia. It noted that RA disturbed the proliferation migration embryonic palatal mesenchymal (EPM) cells in these yet exact mechanisms underlying disruptions remained unclear. Methods A model (RA)-induced fetal mice was successfully established. Histological alterations were evaluated using Hematoxylin Eosin...

10.1186/s10020-024-00960-2 article EN cc-by Molecular Medicine 2024-10-22
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