Jiayu Lei

ORCID: 0000-0002-0484-5380
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About
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Research Areas
  • Polysaccharides Composition and Applications
  • Polysaccharides and Plant Cell Walls
  • Fungal Biology and Applications
  • COVID-19 diagnosis using AI
  • Radiomics and Machine Learning in Medical Imaging
  • Phonetics and Phonology Research
  • Artificial Intelligence in Healthcare and Education
  • Data Stream Mining Techniques
  • Enzyme Production and Characterization
  • Adsorption and biosorption for pollutant removal
  • Speech Recognition and Synthesis
  • Local Government Finance and Decentralization
  • Lung Cancer Diagnosis and Treatment
  • Nanoparticle-Based Drug Delivery
  • Food composition and properties
  • Anomaly Detection Techniques and Applications
  • Gut microbiota and health
  • Linguistic Variation and Morphology
  • Enzyme Catalysis and Immobilization
  • Protein Hydrolysis and Bioactive Peptides
  • Seaweed-derived Bioactive Compounds
  • Advanced biosensing and bioanalysis techniques
  • Mesoporous Materials and Catalysis
  • Tissue Engineering and Regenerative Medicine
  • Analytical chemistry methods development

Shanxi Agricultural University
2022-2024

Shenyang Aerospace University
2022-2023

Southwest University
2023

University of Science and Technology of China
2022

Shenzhen University
2019

The aim of this study was to establish a human digestion model in vitro explore the degradation characteristics novel high-purity polysaccharide from Clitocybe squamulosa (CSFP2). results showed that content reducing sugars (CR ) CSFP2 increased 0.13 0.23 mg/mL, molecular weight (Mw) decreased significantly during saliva-gastrointestinal digestion. constituent monosaccharides CSFP2, including galactose, glucose, and mannose, were stable digestion, but their molar ratios changed 0.023: 0.737:...

10.1016/j.fochx.2023.100644 article EN cc-by Food Chemistry X 2023-03-15

Driven by the large foundation models, development of artificial intelligence has witnessed tremendous progress lately, leading to a surge general interest from public. In this study, we aim assess performance OpenAI's newest model, GPT-4V(ision), specifically in realm multimodal medical diagnosis. Our evaluation encompasses 17 human body systems, including Central Nervous System, Head and Neck, Cardiac, Chest, Hematology, Hepatobiliary, Gastrointestinal, Urogenital, Gynecology, Obstetrics,...

10.48550/arxiv.2310.09909 preprint EN cc-by arXiv (Cornell University) 2023-01-01

The crude polysaccharides from the fruiting bodies of Clitocybe squamulosa (CSFP) were isolated by hot-water extraction. Two novel polysaccharides, CSFP1-β and CSFP2-α, further purified DEAE-52 anion exchange Sephacryl S-400 gel filtration chromatography, purities reached 98.44 97.83%, respectively. structural characteristics bioactivities CSFP, CSFP1-β, CSFP2-α identified combination chemical instrumental analysis. Results showed that CSFP was formed aggregation honeycomb spherical...

10.3389/fnut.2022.934769 article EN cc-by Frontiers in Nutrition 2022-06-30

Developing generalist foundation model has recently attracted tremendous attention among researchers in the field of AI for Medicine (AI4Medicine). A pivotal insight developing these models is their reliance on dataset scaling, which emphasizes requirements open-source medical image datasets that incorporate diverse supervision signals across various imaging modalities. In this paper, we introduce RadGenome-Chest CT, a comprehensive, large-scale, region-guided 3D chest CT interpretation...

10.48550/arxiv.2404.16754 preprint EN arXiv (Cornell University) 2024-04-25

Soluble dietary fiber was extracted from spent Morchella importuna by optimizing the extraction conditions using response surface method. Response analysis results indicated that yield of MI-SDF reached up to 15.38 ± 0.16% under optimized with optimal lye concentration 2.9%, temperature 71°C and time 2 h. The scanning electron microscope (SEM), Fourier transform infrared spectroscopy (FT-IR), X-ray diffraction analyses suggested M. importuna-derived soluble (MI-SDF) exhibited typical porous...

10.1080/19476337.2022.2093979 article EN cc-by CyTA - Journal of Food 2022-07-18

α-galactosidase (EC 3.2.1.22) are glycosidases that catalyze the hydrolysis of α-1,6-linked D-galactosyl residues different substrates, which has been widely applied in food industry. Oudemansiella radicata is a kind precious edible medicinal mushroom, healthy, green, and safe food-derived enzyme source. In this study, novel acidic was purified from dry fruiting bodies O. by ion-exchange chromatography gel filtration, designated as ORG (O. α-galactosidase). further immobilized to obtain iORG...

10.3390/foods11193091 article EN cc-by Foods 2022-10-05

In this study, β-CD@mesoporous SiO2 nanospheres (β-CD@mSi) were prepared by loading β-cyclodextrin (β-CD) onto mesoporous silica through an in situ synthesis. This not only solved the defect of β-CD being easily soluble water, but also changed physical structure nanospheres. FTIR and XPS results showed that was successfully loaded (mSi), while enhancing adsorption effect. β-CD@mSi with a monomer diameter about 150 nm prepared. At temperature 298k, removal efficiency 100 mg/L solution...

10.3389/fchem.2022.1040435 article EN cc-by Frontiers in Chemistry 2022-12-13

Data annotation has been a key boost for the artificial intelligence. However, difficult tasks such as fine-grained classification need lots of labeled data to train feasible model. On one hand, using people who have expert knowledge on datasets annotate all can be costly. other amateurs are cheaper but not able give precise labels. Related works like machine labeling start up. Crowd-Model hardly solve complex classification. Lately, combining domain experts and cost-effective crowd become...

10.1109/icde53745.2022.00055 article EN 2022 IEEE 38th International Conference on Data Engineering (ICDE) 2022-05-01

Chinese listeners were asked to identify English vowels produced by American, French and speakers. The most difficult /e/, /u:/ /Λ/, as well the diphthongs /eə/ /əʊ/. Most for American speakers, whereas they best at identifying Female achieved higher accuracy rates than male ones.

10.1145/3377713.3377782 article EN 2019-12-20
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