A5100702603- Crystal structures of chemical compounds
- Metal complexes synthesis and properties
- Synthesis and biological activity
- Meat and Animal Product Quality
- Image Enhancement Techniques
- Advanced Text Analysis Techniques
- Machine Learning in Bioinformatics
- Advanced Image Processing Techniques
- Generative Adversarial Networks and Image Synthesis
- Text and Document Classification Technologies
- Heavy Metals in Plants
- Cancer, Lipids, and Metabolism
- Nitrogen and Sulfur Effects on Brassica
- Moringa oleifera research and applications
- Nematode management and characterization studies
- Brain Tumor Detection and Classification
- Marine animal studies overview
- Epigenetics and DNA Methylation
- Plant Pathogens and Resistance
- Microbial Natural Products and Biosynthesis
- Plant Molecular Biology Research
- Autophagy in Disease and Therapy
- Insect symbiosis and bacterial influences
- Medicinal plant effects and applications
- Entomopathogenic Microorganisms in Pest Control
Jiangnan University
2024-2025
Gansu University of Traditional Chinese Medicine
2025
Lanzhou University
2024
Army Medical University
2023
Dalian Polytechnic University
2020-2022
Dalian Ocean University
2020-2021
Cangzhou Normal University
2020
Lanzhou Jiaotong University
2017-2019
Xi'an Technological University
2018
Nanjing Agricultural University
2015
Jasmonate (JA) and ethylene (ET) are two major plant hormones that synergistically regulate development tolerance to necrotrophic fungi. Both JA ET induce the expression of several pathogenesis-related genes, while blocking either signaling pathway abolishes induction these genes by alone or in combination. However, molecular basis JA/ET coaction interdependency is largely unknown. Here, we report Arabidopsis ET-stabilized transcription factors (EIN3 EIL1) integrate regulation gene...
Abstract Background and Purpose Subarachnoid haemorrhage (SAH) is an uncommon severe subtype of stroke, but the availability drugs for its treatment limited. Enhanced autophagy believed to attenuate SAH pathology; however, level tentatively up‐regulated then down‐regulated after onset in mice. Clemastine, a first‐generation histamine H1R antagonist, persistently enhance autophagy. However, precise mechanism clemastine remains largely elusive. Experimental Approach Haemoglobin‐induced neuron...
Early stroke prognosis assessments are critical for decision-making regarding therapeutic intervention. We introduced the concepts of data combination, method integration, and algorithm parallelization, aiming to build an integrated deep learning model based on a combination clinical radiomics features analyze its application value in prediction. The research steps this study include source feature extraction, processing fusion, building optimization, training, so on. Using from 441...
Abstract C 34 H CuN 4 O 6 , Monoclinic, P 2 1 / c a = 10.4018(4) Å, b 6.1634(2) 24.2227(15) β 101.820(5)°, Z 2, V 1520.01(13) Å 3 R gt ( F ) 0.0565, wR ref 0.1455, T 292 K.
To investigate the effect of Codonopsis pilosula polysaccharide (CPP) on precancerous lesions gastric cancer (PLGC) and its mechanism. The CPP with more than 90% sugar content was prepared by water extraction alcohol precipitation combined column chromatography. MTT assay used to analyze survival rate human normal epithelial cells (GES-1) proliferation adenocarcinoma (AGS). PLGC animal model induced chemical irregular diet. alleviate related mechanism at high low doses (110 mg/kg 440 mg/kg)...
Abstract C 16 H 15 ClN 2 O , monoclinic, P 1 / c (no. 14), a = 33.491(11) Å, b 7.124(2) 6.1977(19) β 92.212(6)°, V 1477.6(8) Å 3 Z 4, R gt ( F ) 0.0418, wR ref 0.1193, T 296(2) K.
At present, rapid, nondestructive, and objective identification of unqualified salted sea cucumbers with excessive salt content is extremely difficult. Artificial the most common method, which based on observing cucumber deformation during recovery after applying-removing pressure contact. This study aimed at simulating artificial method establishing an model to distinguish whether exceeds standard by means machine vision learning technology. The system for was established, used delivering...
If there are more external interference factors in the process of intelligent recognition English, accuracy will be greatly reduced. It is great academic value and application significance to deeply study feature English part-of-speech realize automatic image processing recognition. Based on unsupervised machine learning technology, this combines actual set corresponding influencing proposes a reliable method identify multi-body rotating characters. This utilizes principle periodic...
Abstract C 19 H 16 N 2 O , monoclinic P 1 /c (no. 14), a = 14.1712(6) Å, b 7.3611(3) c 14.4212(8) β 90.665(5)°, Z 4, V 1504.24(12) Å 3 R gt ( F ) 0.0633, wR ref 0.1648, T 291 K.
Ensemble learning can improve the accuracy of classification algorithm and it has been widely used.Traditional ensemble methods include bagging, boosting other methods, both which are based on homogenous base classifiers, obtain a diversity classifiers only through sample perturbation.However, heterogenous tend to be more diverse, multi-angle disturbances variety classifiers.This paper presents text method perturbation heterogeneous classifier, validates effectiveness experiments.
Abstract Ensemble learning can improve the accuracy of classification algorithm and it has been widely used. Traditional ensemble methods include bagging, boosting other methods, both which are based on homogenous base classifiers, obtain a diversity classifiers only through sample perturbation. However, heterogenous tend to be more diverse, multi-angle disturbances variety classifiers. This paper presents text method perturbation heterogeneous classifier, validates effectiveness experiments.
Abstract C 24 H 22 Cl 2 N 4 O , triclinic, P 1̄ (no. 2), a = 9.7533(6) Å, b 10.2969(8) c 17.9128(12) α 104.131(2)°, β 99.242(2)°, γ 91.106(2)°, V 1718.7(2) Å 3 Z 3, R gt ( F ) 0.0502, wR ref 0.1256, T 153(2) K.
We offer a practical unpaired learning based image dehazing network from an set of clear and hazy images. This paper provides new perspective to treat as two-class separated factor disentanglement task, i.e, the task-relevant reconstruction task-irrelevant haze-relevant distribution. To achieve these factors in deep feature space, contrastive is introduced into CycleGAN framework learn disentangled representations by guiding generated images be associated with latent factors. With such...