A5059420555- Food composition and properties
- Proteins in Food Systems
- Protein Hydrolysis and Bioactive Peptides
- Phytase and its Applications
- Meat and Animal Product Quality
- Microbial Metabolites in Food Biotechnology
- Phytochemicals and Antioxidant Activities
- biodegradable polymer synthesis and properties
- Polymer composites and self-healing
- Phytochemistry and Biological Activities
- Computational Drug Discovery Methods
- Natural product bioactivities and synthesis
- Polysaccharides Composition and Applications
- Wheat and Barley Genetics and Pathology
- Photopolymerization techniques and applications
- Animal Nutrition and Physiology
- Insect Utilization and Effects
- Microencapsulation and Drying Processes
- Tea Polyphenols and Effects
- Catalytic Processes in Materials Science
- Machine Learning in Bioinformatics
- Phytochemical and Pharmacological Studies
- Plant biochemistry and biosynthesis
- Biofuel production and bioconversion
- Advanced biosensing and bioanalysis techniques
Luoyang Normal University
2010-2025
Kansas State University
2016-2025
Affiliated Hospital of Hebei University
2016-2025
Beijing Forestry University
2021-2025
Hainan Medical University
2012-2024
Haikou Experimental Station
2024
Yunnan Agricultural University
2024
Jiangxi Academy of Agricultural Sciences
2019-2024
Nanjing University of Posts and Telecommunications
2023-2024
University of Chinese Academy of Sciences
2016-2024
Intuitively, higher intelligence might be assumed to correspond more efficient information transfer in the brain, but no direct evidence has been reported from perspective of brain networks. In this study, we performed extensive analyses test hypothesis that individual differences are associated with structural organization, and particular scores on tests related greater global efficiency anatomical network. We constructed binary weighted networks each 79 healthy young adults utilizing...
Abstract Identification of potent peptides through model prediction can reduce benchwork in wet experiments. However, the conventional process buildings be complex and time consuming due to challenges such as peptide representation, feature selection, selection hyperparameter tuning. Recently, advanced pretrained deep learning-based language models (LMs) have been released for protein sequence embedding applied structure function prediction. Based on these developments, we developed...
Four commercial pea protein isolates were analyzed for their physico-chemical properties including water absorption capacity (WAC), least gelation concentration (LGC), rapid visco analyzer (RVA) pasting, differential scanning calorimetry (DSC)-based heat-induced denaturation and phase transition (PTA) flow temperature. The proteins also extruded using pilot-scale twin-screw extrusion with relatively low process moisture to create texturized plant-based meat analog products. Wheat-gluten-...
The topological architecture of the cerebral anatomical network reflects structural organization human brain. Recently, measures based on graph theory have provided new approaches for quantifying large-scale networks. Diffusion MRI studies revealed efficient small-world properties and modular structure in normal subjects. However, no previous study has used diffusion to reveal changes brain early blindness. Here, we utilized tensor imaging construct binary networks 17 blind subjects age-...
Lack of immunogenicity cancer cells has been considered a major reason for their failure in induction tumor specific T cell response. In this paper, we present evidence that decitabine (DAC), DNA methylation inhibitor is currently used the treatment myelodysplastic syndrome (MDS), acute myeloid leukemia (AML) and other malignant neoplasms, capable eliciting an anti-tumor cytotoxic lymphocyte (CTL) response mouse EL4 model. C57BL/6 mice with established tumors were treated DAC (1.0 mg/kg body...