A5013653143- Spectroscopy and Chemometric Analyses
- Spectroscopy Techniques in Biomedical and Chemical Research
- Soil Carbon and Nitrogen Dynamics
- Plant Physiology and Cultivation Studies
- Machine Learning in Bioinformatics
- Environmental and Agricultural Sciences
- Bee Products Chemical Analysis
- Agronomic Practices and Intercropping Systems
- Meat and Animal Product Quality
- Potato Plant Research
- Legume Nitrogen Fixing Symbiosis
- Genetic and Environmental Crop Studies
- Bioinformatics and Genomic Networks
- Crop Yield and Soil Fertility
- Gene expression and cancer classification
- Postharvest Quality and Shelf Life Management
- Pasture and Agricultural Systems
- Biopolymer Synthesis and Applications
- Cloud Computing and Resource Management
- IoT and Edge/Fog Computing
- Soybean genetics and cultivation
- Flowering Plant Growth and Cultivation
- Forest, Soil, and Plant Ecology in China
- Rice Cultivation and Yield Improvement
- Agricultural Science and Fertilization
China Agricultural University
2010-2025
Shandong Agricultural University
2023
Anhui Agricultural University
2010-2021
Beijing Tongren Hospital
2020-2021
Qufu Normal University
2016
Heritage Christian University
2012
Soil and Fertilizer Institute of Hunan Province
2011
Yunnan Academy of Agricultural Sciences
2009-2010
Straw returning is a promising approach to improve soil fertility and mitigate the negative effects of chemical fertilizers on quality. However, straw degradation slow multifactorial-controlled process. Herein, field experiment (June 2010–September 2013) was carried out examine concurrent application nitrogen (N) straw-decomposing microbial inoculant (SDMI) wheat decomposition rice yield in paddy soil, Anhui Province, East China. To do so, four treatments were selected with basal N...
In this paper, we investigate the intersection of large generative AI models and cloud-native computing architectures. Recent such as ChatGPT, while revolutionary in their capabilities, face challenges like escalating costs demand for high-end GPUs. Drawing analogies between large-model-as-a-service (LMaaS) cloud database-as-a-service (DBaaS), describe an AI-native paradigm that harnesses power both technologies (e.g., multi-tenancy serverless computing) advanced machine learning runtime...
To study the dynamic changes of nutrient consumption and aflatoxin B1 (AFB1) accumulation in peanut kernels with fungal colonization, macro hyperspectral imaging technology combined microscopic was investigated. First, regression models to predict AFB1 contents from data ranging 1000 2500 nm were developed results compared before after normalization Box-Cox transformation. The indicated that second-order derivative a support vector (SVR) model using competitive adaptive reweighted sampling...
The physiological and biochemical processes of Aspergillus flavus (A. flavus) are complex. Monitoring the metabolic evolution products during growth A. is critical to overall understanding fungal aflatoxin production detection mechanism. dynamic process B1 (AFB1) accumulation in culture media was investigated with a visible/near-infrared hyperspectral imaging (Vis/NIR HSI) system range 400 1000 nm. First, synthesis pattern AFB1 were monitored on maize agar medium (MAM) for 120 h 24-h...
Sparse Principal Component Analysis (SPCA) is a method that can get the sparse loadings of principal components (PCs), and it may formulate PCA as regression-type optimization problem by using elastic net. But selected features are different with each PC generally independent. A new named SPCA has been proposed for removing these detect, which replaces net L <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2,1</sub> -norm penalty. The results on...
Tumor clustering based on biomolecular data plays a very important role for cancer classifications discovery. To further improve the robustness, stability and accuracy of tumor clustering, we develop novel dimension reduction method named p-norm singular value decomposition (PSVD) to seek low-rank approximation matrix bimolecular data. enhance robustness outliers, Lp-norm is taken as error function Schatten used regularization in our optimization model. evaluate performance PSVD, Kmeans then...