A5101661193- Natural product bioactivities and synthesis
- Maritime Transport Emissions and Efficiency
- Phytochemistry and Biological Activities
- Phytochemistry and Bioactive Compounds
- Drug-Induced Hepatotoxicity and Protection
- Biological Activity of Diterpenoids and Biflavonoids
- Industrial Vision Systems and Defect Detection
- Medicinal Plants and Neuroprotection
- Phytochemicals and Medicinal Plants
- Non-Destructive Testing Techniques
- Face and Expression Recognition
- Face recognition and analysis
- Essential Oils and Antimicrobial Activity
- Hormonal Regulation and Hypertension
- Nuts composition and effects
- Phytochemistry and biological activity of medicinal plants
- Phytochemical Studies and Bioactivities
- Alzheimer's disease research and treatments
- Domain Adaptation and Few-Shot Learning
- Botanical Studies and Applications
- Cholinesterase and Neurodegenerative Diseases
- Imbalanced Data Classification Techniques
- Cardiovascular, Neuropeptides, and Oxidative Stress Research
- Maritime Navigation and Safety
- Silymarin and Mushroom Poisoning
Jiamusi University
2005-2024
Jiangsu University of Science and Technology
2024
University of Chinese Academy of Sciences
2020
Huazhong University of Science and Technology
2017-2018
Heilongjiang University of Chinese Medicine
2017
Wuhan University
2014
Mudanjiang Medical University
2011
Jilin University
2010
Affected by the improper operation of workers, environmental changes during drying and curing or quality paint itself, diverse defects are produced process ship painting. The traditional defect recognition method relies on expert knowledge experience to detect defects, which is not conducive ensuring effectiveness recognition. Therefore, this paper proposes an image generation model suitable for small samples. Based a deep convolutional neural network (DCNN), combines conditional variational...
The precise prediction of painting man-hours is significant to ensure the efficient scheduling shipyard production and maintain a stable pace, which directly impacts shipbuilding cycles costs. However, traditional forecasting methods suffer from issues such as low efficiency poor accuracy. To solve this problem, paper proposes selective integrated learning model (ISA-SE) based on an improved simulated annealing algorithm predict ship man-hours. Firstly, particle swarm optimization (MPSO)...
Ship painting, as one of the three pillars shipping industry, runs through whole process ship construction. However, there are low scheduling efficiency and excessive carbon emissions in segmental painting process, optimizing method is an important means to achieve sustainable development manufacturing industry. To this end, firstly, a low-carbon mathematical model for segmented workshop proposed, aiming reduce improve workshop. Second, artificial bee colony algorithm designed based on...
In recent years, the defect image classification method based on deep transfer learning has been widely explored and researched, task of source target domains with same painting class solved successfully. However, in real applications, due to complexity uncertainty ship conditions, it is very likely that there are unknown classes defects, traditional model cannot identify a few classes, which leads overfitting reduces its generalization ability. this paper, zero-shot Image for defects...
In this paper, we propose a new deep learning network "GENet", it combines the multi-layer architecture and graph embedding framework. Firstly, use simplest unsupervised PCA/LDA as first layer to generate low-level feature. Secondly, many cascaded dimensionality reduction layers based on framework are applied GENet. Finally, linear SVM classifier is used classify dimension-reduced features. The experiments indicate that higher classification accuracy can be obtained by algorithm CMU-PIE,...
2 (中国科学院植物研究所植被与环境变化国家重点实验室, 北京 100093)
a 黑龙江中医药大学药学院 哈尔滨 150040) ( b 华中科技大学同济医学院药学院 武汉 430030) c 佳木斯大学药学院 佳木斯 1504007) 摘要 利用柱层析和高效液相色谱等分离技术从毛果南烛 Lyonia ovalifolia var.hebecarpa 的叶中分离得到了 3 个三萜 皂苷类化合物, 借助 HRESIMS 和 NMR 等波谱手段以及化学方法鉴定其结构分别 3β-O-ɑ-L-阿拉伯吡喃糖氧基-齐墩 果-12-烯-23,25-二醇(1)、 3β-O-α-L-阿拉伯吡喃糖氧基-齐墩果-12-烯-1β,23-二醇(2)和 25-羟基-3β-O-β-D-葡萄糖吡喃糖氧 基-24α-O-α-L-阿拉伯吡喃糖氧基-9,10-开环-羊毛脂烷-10-烯-30-酸(3).化合物 1 及其苷元是新化合物, 已知化合物 2 均为首次从该植物中分离得到.首次对化合物 及其苷元进行了 数据归属.同时, 筛选了所得 个三萜皂苷化 合物 1～3 的体外抗肿瘤活性, 结果显示化合物 对五种肿瘤细胞 HL-60、MCF
In this paper, we propose a new deep learning network "GENet", it combines the multi-layer architec- ture and graph embedding framework. Firstly, use simplest unsupervised PCA/LDA as first layer to generate low- level feature. Secondly, many cascaded dimensionality reduction layers based on framework are applied GENet. Finally, linear SVM classifier is used classify dimension-reduced features. The experiments indicate that higher classification accuracy can be obtained by algorithm CMU-PIE,...
Two new sesquiterpenoid glycosides, 8α (H)-eudesmane-1,3,11 (13)-triene-2-one -12-O-β-D-glucopyranoside (1) and dmetelisproside B (2), together with ten known compounds (3–12) were isolated from calyces of Physalis alkekengi L. var. franchetii (Mast.) Makino (PAF). Their structures unambiguously elucidated through HR-ESI-MS, UV, IR, NMR spectral data. Compounds 1, 10, 12 exhibited DPPH scavenging ability IC50 values 33.69 ± 6.65, 6.29 0.06, 25.66 3.06 μM, respectively. Additionally, 10...
In the original publication [...]
The hypothalamic paraventricular nucleus (PVN) plays a central role in regulating cardiovascular activity and blood pressure. We administered hydroxylamine hydrochloride (HA), cystathionine-β-synthase inhibitor, into the PVN to suppress endogenous hydrogen sulfide investigate its effects on mitogen-activated protein kinase (MAPK) pathway high salt (HS)-induced hypertension. randomly divided 40 male Dahl salt-sensitive rats 4 groups: normal (NS) + vehicle group, NS HA HS with 10 each group....
Physalis alkekengi L. var. franchetii (Mast.) Makino (PA) is a natural plant which utilised as traditional herbal medicine. It has properties that make it effective against inflammation and free radical damage. In the present study, major constituents of four extraction parts fruits PA (PAF) were investigated by combining ultra-performance liquid chromatography with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS). The mice model Alzheimer's disease (AD) induced aluminum chloride...
Two-dimensional Principal component analysis (2DPCA) is widely used in face feature extraction and recognition as its lower-computational complexity comparing with principal (PCA). In this paper, we propose a algorithm of pulmonary nodules based on 2DPCA adaptive parameters. The cumulative variance proportion which the histogram peak value CT image can be selected self-adaptively only by one lung itself but not any human intervention or priori-information, could aid radiologists more...
Abstract Physalis alkengi L. var. franchetii (PA) is a type of edible and medicinal plant in Solanaceae. Its chemical components mainly include steroids, flavonoids, alkaloids, amino acids, phenolic acids. Comprehensive component identification essential for elucidation its pharmacological mechanism quality control. However, complex composition has caused certain difficulties the analysis this traditional Chinese medicine (TCM). Therefore, there an urgent need to establish method rapid...