scholarly journals Modified quantitative estimation model of erosion and degradation in three mountainous watersheds

2006 ◽  
Author(s):  
D. Emmanouloudis ◽  
M. Kaikis
Keyword(s):  
Quantitative Estimation ◽  
Estimation Model ◽  
Mountainous Watersheds

Development of Topography-Based River Width Estimation Model for Medium-Sized Mountainous Watersheds

2020 ◽  
Vol 25 (5) ◽  
pp. 04020018
Author(s):  
Bingxing Tong ◽  
Zhijia Li ◽  
Jingfeng Wang ◽  
Cheng Yao ◽  
Meng He
Keyword(s):  
Estimation Model ◽  
Mountainous Watersheds

scholarly journals Sedimentary nitrogen fractions and source assignment from different inflows to a receiving lake

2020 ◽  
Vol 20 (5) ◽  
pp. 1950-1964
Author(s):  
Xiaojun Li ◽  
Yanping Zhao ◽  
Guoxiang Wang ◽  
Ruiming Han ◽  
Xinyi Dang ◽  
...  
Keyword(s):  
Total Nitrogen ◽  
Quantitative Estimation ◽  
Lake Taihu ◽  
Principal Component ◽  
Nitrogen Loading ◽  
Limiting Factors ◽  
Phosphorus Loading ◽  
Estimation Model ◽  
Significant Difference ◽  
Pca Method

Abstract The spatial distribution of the sediment nitrogen in ten typical estuaries of Lake Taihu was determined. A simple quantitative estimation model and principal component analysis (PCA) method were applied to find the source and major factors of estuarine sediment nitrogen loading. The average concentrations of total nitrogen (TN), organic nitrogen (Org-N), ammonium nitrogen and nitrate-nitrogen in the sediments of the ten estuaries were 1315.5, 1220.1, 82.53 and 6.45 mg/kg, with the organic fraction dominating. Results showed a significant difference for the TN concentration in sediments of different estuaries, which was mainly caused by geographical location, land use type and vegetation restoration measures. An important result was that sediment nitrogen in 80% of the estuaries was mainly originated from autochthonous algae and presettled organic matter, although there has been continuous pollution input from inflow rivers. The source estimation results found that the autochthonous aquaculture excretion, algae and hydrophyte debris and buried biodetritus accounted for 58.9% of the total nitrogen loading, which dominated the nitrogen sources compared with the pollution input. In addition, the PCA method was used to find that phosphorus loading and redox conditions were the major limiting factors affecting the distribution of inorganic and , respectively.

Research Jujube Pest Stress Index Leaf Pigment Hyperspectral Model Based on Wireless Sensor Networks in the Southern Region of Xinjiang

2014 ◽  
Vol 955-959 ◽  
pp. 763-770
Author(s):  
Peng Zhou ◽  
Xiao Tai Niu ◽  
Song Guo ◽  
Ming Deng Shi
Keyword(s):  
Leaf Rust ◽  
Vegetation Index ◽  
Quantitative Estimation ◽  
Probabilistic Neural Network ◽  
Spectral Characteristics ◽  
Pigment Content ◽  
Stress Index ◽  
Svm Classifier ◽  
Estimation Model ◽  
Leaf Pigment

Measured southern jujube pest stress index leaf pigment, create jujube jujube leaf rust sensitive bands characteristic parameter table, analyze the spectral characteristics of the relevant characteristics and vegetation index jujube high correlation parameters. Determination of diseased leaves and growing spectrum of different pigment content. Analysis jujube leaf rust pigment content and spectral reflectance correlation study comparing jujube leaf rust pigment content and differential spectral correlation. Hyperspectral characteristic parameters to achieve the southern jujube jujube leaf rust pigments PC1/PC2 and PC1+PC2 content estimation. Using a combination of linear and polynomial fitting method to construct the canopy hyperspectral disease dates Brix content estimation model and test. The probabilistic neural network PNN and SVM classifier SVC applied to hyperspectral estimation model, comparative analysis of model accuracy. The results of the quantitative estimation of disease hyperspectral information dates pigment content in leaves of jujube growing use of high spectral monitoring and impact assessment of disease have high practical value. classification accuracy of 98%, obtained very satisfactory recognition results.

scholarly journals Educational Organization’s Security Level Estimation Model

2021 ◽  
Vol 11 (17) ◽  
pp. 8061
Author(s):  
Simona Ramanauskaitė ◽  
Neringa Urbonaitė ◽  
Šarūnas Grigaliūnas ◽  
Saulius Preidys ◽  
Vaidotas Trinkūnas ◽  
...  
Keyword(s):  
Distance Learning ◽  
Information Security ◽  
Information Technologies ◽  
Quantitative Estimation ◽  
Evaluation Model ◽  
Security Level ◽  
Educational Organizations ◽  
Estimation Model ◽  
Security Incident ◽  
E Learning

During the pandemic, distance learning gained its necessity. Most schools and universities were forced to use e-learning tools. The fast transition to distance learning increased the digitalization of the educational system and influenced the increase of security incident numbers as there was no time to estimate the security level change by incorporating new e-learning systems. Notably, preparation for distance learning was accompanied by several limitations: lack of time, lack of resources to manage the information technologies and systems, lack of knowledge on information security management, and security level modeling. In this paper, we propose a security level estimation model for educational organizations. This model takes into account distance learning specifics and allows quantitative estimation of an organization’s security level. It is based on 49 criteria values, structured into an AHP (Analytic Hierarchy Process) tree, and arranged to final security level metric by incorporating experts’ opinion-based criteria importance coefficients. The research proposed a criteria tree and obtained experts’ opinions lead to educational organization security level evaluation model, resulting in one quantitative metric. It can be used to model different situations and find the better alternative in case of security level, without external security experts usage. Use case analysis results and their similarity to security experts’ evaluation are presented in this paper as validation of the proposed model. It confirms the model meets experts-based information security level ranking, therefore, can be used for simpler security modeling in educational organizations.

Probabilistic Neural Network Southern Jujube Pest Stress Index Leaf Pigment Estimation Model Based Hyperspectral

2014 ◽  
Vol 610 ◽  
pp. 362-366
Author(s):  
Peng Zhou ◽  
Xin Wang Dou ◽  
Qing Zhao ◽  
Ming Deng Shi
Keyword(s):  
Neural Network ◽  
Leaf Rust ◽  
Quantitative Estimation ◽  
Probabilistic Neural Network ◽  
Correlation Study ◽  
Pigment Content ◽  
Stress Index ◽  
Svm Classifier ◽  
Estimation Model ◽  
Spectral Correlation

Analysis jujube leaf rust pigment content and spectral reflectance correlation study comparing jujube leaf rust pigment content and differential spectral correlation. Hyperspectral characteristic parameters to achieve the southern jujube jujube leaf rust pigments PC1/PC2 and PC1+PC2 content estimation. Using a combination of linear and polynomial fitting method to construct the canopy hyperspectral disease dates Brix content estimation model and test. The probabilistic neural network PNN and SVM classifier SVC applied to hyperspectral estimation model, comparative analysis of model accuracy. The results of the quantitative estimation of disease hyperspectral information dates pigment content in leaves of jujube growing use of high spectral monitoring and impact assessment of disease have high practical value.

Plasma Fibrin Stabilising Factor (F. S. F.) Activity in Normal Subjects and Patients with Chronic Liver Disease

1969 ◽  
Vol 21 (01) ◽  
pp. 134-143 ◽  
Author(s):  
W. D Walls ◽  
M. S Losowsky
Keyword(s):  
Liver Disease ◽  
Chronic Liver Disease ◽  
Clinical Improvement ◽  
Quantitative Estimation ◽  
Kinetic Method ◽  
Normal Subjects ◽  
Chronic Liver ◽  
Clinical Severity ◽  
Plasma Fibrinogen ◽  
Normal Range

SummaryA kinetic method for the quantitative estimation of plasma F.S.F. activity is described and discussed.This method was applied to normal subjects and to patients with chronic liver disease. The plasma F.S.F. activity was uninfluenced by either sex or age, and the normal range has been defined.A significant decrease in plasma F.S.F. activity was observed in patients with chronic liver disease. Subnormal levels of activity were found in 25% of such patients but were unrelated to episodes of abnormal haemorrhage. Plasma F.S.F. activity tended to be lower in patients with disease of greater clinical severity. In 2 patients showing clinical improvement there was an increase in plasma F. S. F. activity.It was confirmed that plasma fibrinogen levels increase with age.

Social development of modern Russia: trends, risks, prospects

2018 ◽  
pp. 76-89
Author(s):  
E. M. Avraamova ◽  
V. N. Titov
Keyword(s):  
Middle Class ◽  
Social Development ◽  
Social Structure ◽  
Structure Formation ◽  
Resource Availability ◽  
Social Dynamics ◽  
Quantitative Estimation ◽  
Resource Potential ◽  
Institutional Conditions ◽  
Resource Characteristics

The analysis of present-time directions in the study of social development has allowed to identify the resource approach as the most productive one which enables to assess social dynamics through the range of resource characteristics of different population groups and abilities of the relevant groups to apply development resources in the current economic and institutional conditions. Basing on the sociological survey conducted by ISAP RANEPA, the quantitative estimation of material and social recourses of the population has been made; integral values of the resource potential have been calculated as well. The issues of social structure formation are analyzed through the aspect of resource availability; the barriers of Russian middle-class enlargement are defined.

QUANTITATIVE ESTIMATION OF URINARY PREGNANETRIOL, PREGNANETRIOLONE, TETRAHYDRO S AND Δ5-PREGNENETRIOL IN THE INVESTIGATION OF ADRENOCORTICAL FUNCTION

1969 ◽  
Vol 60 (4) ◽  
pp. 657-668 ◽  
Author(s):  
Frances J. Thomas ◽  
A. W. Steinbeck
Keyword(s):  
Congenital Adrenal Hyperplasia ◽  
Cushing’S Syndrome ◽  
Adrenocortical Carcinoma ◽  
Quantitative Estimation ◽  
Cushing's Syndrome ◽  
Adrenocortical Function ◽  
Adrenal Hyperplasia ◽  
Ectopic Acth ◽  
Modified Method ◽  
Idiopathic Hirsutism

ABSTRACT A modified method for the estimation of urinary pregnanetriol, pregnanetriol, pregnanetriolone, Δ5-pregnenetriol and tetrahydro S was investigated. The steroids, separated by chromatography, were measured quantitatively, tetrahydro S by reaction with blue tetrazolium and the other three as acetaldehydogenic substances. The excretion of these steroids was studied in suspected instances of adrenal and/or ovarian disease. Urinary pregnanetriol and tetrahydro S levels were normal in Cushing's syndrome, secondary adrenocortical carcinoma, the Stein-Leventhal syndrome, idiopathic hirsutism and hypertension. Tetrahydro S was doubtfully elevated in an instance of ectopic ACTH Cushing's syndrome. Pregnanetriol excretion was elevated in untreated cases of congenital adrenal hyperplasia and after treatment in some. Pregnanetriolone was found in all patients with congenital adrenal hyperplasia, including those receiving cortisone. Pregnanetriolone was also detected in Cushing's syndrome, secondary adrenocortical carcinoma, the Stein-Leventhal syndrome, ectopic ACTH Cushing's syndrome and suspected congenital adrenal hyperplasia. Δ5-pregnenetriol was present as a glucuronide in the Stein-Leventhal syndrome and idiopathic hirsutism. The diagnostic implications of these results are discussed.

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