scholarly journals Study on Monitoring the ecological environment by SAR model

2021 ◽  
Vol 781 (5) ◽  
pp. 052017
Author(s):  
Huijin Han
Keyword(s):  
Ecological Environment ◽  
Sar Model

Establishment of the ecological environmental map for Hoa binh town based on the study of ecological landscape and ecological environment

2018 ◽  
Vol 25 (2) ◽  
pp. 185-189
Author(s):  
Nguyễn Thế Thôn
Keyword(s):  
Ecological Environment ◽  
The Matrix ◽  
Ecological Landscape ◽  
Environmental Map ◽  
Hoa Binh

Based on the ecolandscape theory and using the Map Info software, the author has established the ecological environmental map for Hoa Binhtown. In this map all of natural environmental components, poilution, degradation, catastrophe and break-down of environment are described.Annotation of the map have two parts : 1) the ecolandscape (ecological environment of the territory) is described with matrix ; 2) the pollution,degradation, catastrophe and break-down of environment are described with description table and that is under the matrix.

Measuring Exposome Associated with Health

2020 ◽  
pp. 46-50
Keyword(s):  
Mass Spectrometry ◽  
Remote Sensing ◽  
High Resolution ◽  
Biological Effect ◽  
High Resolution Mass Spectrometry ◽  
The Body ◽  
Ecological Environment ◽  
Special Issue ◽  
The Life Course ◽  
Resolution Mass

The concept of exposome has received increasing discussion, including the recent Special Issue of Science –"Chemistry for Tomorrow's Earth,” about the feasibility of using high-resolution mass spectrometry to measure exposome in the body, and tracking the chemicals in the environment and assess their biological effect. We discuss the challenges of measuring and interpreting the exposome and suggest the survey on the life course history, built and ecological environment to characterize the sample of study, and in combination with remote sensing. They should be part of exposomics and provide insights into the study of exposome and health.

TIDAL FLATS DEVELOPMENT MODEL OF COASTAL AREAS —A CASE STUDY OF YANCHENG CHINA

2020 ◽  
pp. 25-28
Author(s):  
XU HUILIN ◽  
CHEN HUIHUI ◽  
ZHOU WEI ◽  
FU JIAJIA
Keyword(s):  
Coastal Areas ◽  
Tidal Flats ◽  
Development Model ◽  
Ecological Environment ◽  
Present Stage ◽  
Important Resource ◽  
Modern Agriculture ◽  
Dynamic Growth

Tidal fats resources is an important resource in coastal areas of China, which shows a trend of dynamic growth. Ratonal development and efectve utlizaton of tdal fats resources can alleviate the contradicton between more people and less land in China, and is of great signifcance to the development of coastal economy and the protecton of ecological environment in China. Taking Yancheng Tidal Flats of Coastal Areas as an example, analyzes the present situaton of development and utlizaton and the existng problems at the present stage. Relying on the existng industrial foundaton, this paper puts forward the development and utlizaton model of strengthening the constructon of port-neighboring industry, towns and ecological leisure tourism on the basis of modern agriculture

Identify Compounds' Target Against Alzheimer's Disease Based on In-Silico Approach

2019 ◽  
Vol 16 (3) ◽  
pp. 193-208 ◽  
Author(s):  
Yan Hu ◽  
Guangya Zhou ◽  
Chi Zhang ◽  
Mengying Zhang ◽  
Qin Chen ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Small Molecule ◽  
Characteristic Curve ◽  
Machine Learning Algorithms ◽  
Learner Model ◽  
Mao B ◽  
Number Of Patients ◽  
Sar Model ◽  
Set Up

Background: Alzheimer's disease swept every corner of the globe and the number of patients worldwide has been rising. At present, there are as many as 30 million people with Alzheimer's disease in the world, and it is expected to exceed 80 million people by 2050. Consequently, the study of Alzheimer’s drugs has become one of the most popular medical topics. Methods: In this study, in order to build a predicting model for Alzheimer’s drugs and targets, the attribute discriminators CfsSubsetEval, ConsistencySubsetEval and FilteredSubsetEval are combined with search methods such as BestFirst, GeneticSearch and Greedystepwise to filter the molecular descriptors. Then the machine learning algorithms such as BayesNet, SVM, KNN and C4.5 are used to construct the 2D-Structure Activity Relationship(2D-SAR) model. Its modeling results are utilized for Receiver Operating Characteristic curve(ROC) analysis. Results: The prediction rates of correctness using Randomforest for AChE, BChE, MAO-B, BACE1, Tau protein and Non-inhibitor are 77.0%, 79.1%, 100.0%, 94.2%, 93.2% and 94.9%, respectively, which are overwhelming as compared to those of BayesNet, BP, SVM, KNN, AdaBoost and C4.5. Conclusion: In this paper, we conclude that Random Forest is the best learner model for the prediction of Alzheimer’s drugs and targets. Besides, we set up an online server to predict whether a small molecule is the inhibitor of Alzheimer's target at http://47.106.158.30:8080/AD/. Furthermore, it can distinguish the target protein of a small molecule.

scholarly journals Application Research Based on Ecological Environment and Environmental Protection Technology

2020 ◽  
Vol 165 ◽  
pp. 02016
Author(s):  
Ditong Zhu ◽  
Yingchun Wang
Keyword(s):  
Environmental Protection ◽  
Ecological Environment ◽  
Source Control ◽  
Human Beings ◽  
The Sustainable Development ◽  
Protection Technology ◽  
Important Means ◽  
Scientific Decision ◽  
Environment Detection ◽  
Big Data Technology

Ecological environment detection and environmental protection technology becomes an important means to ensure the sustainable development of human beings. Under the premise of the common development of the world’s environmental protection, environmental protection is becoming more and more important. Under the background of the development of science and technology, human beings should also fundamentally solve the ecological environmental protection problem. At the same time, multi-domain ecological environment monitoring data will be used to improve the data processing technology capacity to meet the government’s multi-source control needs and improve the government’s scientific decision-making effect. Starting from the significance of applying ecological environment detection and environmental protection technology, this paper explores and defines the problems existing in the ecological environment detection and environmental protection technology, and puts forward corresponding optimization strategies in combination with big data technology for reference.

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