Trans-epoxide hydrolase: A key indicator enzyme for herbivory in arthropods

1984 ◽  
Vol 40 (2) ◽  
pp. 176-178 ◽  
Author(s):  
C. A. Mullin ◽  
B. A. Croft
Keyword(s):  
Epoxide Hydrolase ◽  
Key Indicator ◽  
Indicator Enzyme

Using distributed lag models to predict regional budget revenues

2020 ◽  
Vol 19 (6) ◽  
pp. 1154-1172
Author(s):  
Yu.V. Granitsa
Keyword(s):  
Unemployment Rate ◽  
Consumer Price Index ◽  
Mathematical Methods ◽  
Distributed Lag ◽  
Key Indicator ◽  
Distributed Lag Models ◽  
Regional Budget ◽  
The Impact ◽  
Financial Result

Subject. The article addresses projections of regional budget revenues, using distributed lag models. Objectives. The purpose is to review economic and statistical tools that are suitable for the analysis of relationship between the revenues of the regional budget system and regional macroeconomic predictors. Methods. The study draws on statistical, constructive, economic and mathematical methods of analysis. Results. In models with quantitative variables obtained under the Almon method, the significant predictors in the forecasting of regional budget revenues are determined mainly by the balanced financial result, the consumer price index, which characterizes inflation processes in the region, and the unemployment rate being the key indicator of the labor market. Models with quantitative variables obtained through the Koyck transformation are characterized by a wider range of predictors, the composition of which is determined by the peculiarities of economic situation in regions. The two-year forecast provides the average lag obtained during the evaluation of the models. The exception is the impact of unemployment rate, which is characterized as long-term. Conclusions. To generate forecasts of budget parameters, the results of both the Koyck method and the Almon method should be considered, though the former is more promising.

Simulation model of the process of functioning and restoration of the network clock network synchronization

2020 ◽  
Vol 4 ◽  
pp. 83-90
Author(s):  
Andrey Kanaev ◽  
◽  
Maria Sakharova ◽  
Evgeny Oparin ◽  
Keyword(s):  
Simulation Model ◽  
Network Synchronization ◽  
Key Indicator ◽  
Clock Network ◽  
Mode Of Transmission ◽  
The Moment

This article provides a simulation model of the process of functioning and restoration of a network clock network (CNS), which is distinguished by the completeness of accounting for the states of the process of functioning of the CNS network. The key indicator of the process of functioning of the CNS network is the duration of the control cycle of the CNS network, which is understood as the time from the moment a failure occurs on the CNS network until the moment the mode of transmission of synchronization signals is restored. On the basis of the developed simulation model of the process of functioning and restoration of the CNS network, the duration of the control cycle of the CNS network is estimated depending on the time spent in individual states of the process of functioning of the TSS network and on the characteristics of individual subsystems of the CNS system. The results obtained can serve as a basis for developing sound strategies and plans for managing the CNS network.

Information publicity and transparency of budget process in the consolidated territorial communities of Lvivska oblast: estimation and ways of improvement

2019 ◽  
pp. 46-52
Author(s):  
Olha Zhabynets
Keyword(s):  
Personal Responsibility ◽  
Local Level ◽  
Financial Information ◽  
Reform Process ◽  
Budget Process ◽  
Timely Manner ◽  
Public Authorities ◽  
Information Transparency ◽  
Key Indicator ◽  
Disclosure Of Information

In the process of decentralization in Ukraine, the information transparency of the management becomes important, which implies the openness and accessibility of information for all members of society. It reflects the current and perspective states of the reform process. Decentralization means not only a transferring of powers, but also financial resources and responsibilities from public authorities to local authorities. So the information publicity and transparency of the budget process should become the key indicator to estimate the effectiveness of the management of the finances of the consolidated territorial communities (CTCs). The purpose of the article is to evaluate and propose ways to increase the information publicity and transparency of the budget process at the local level. The author analyzes the implementation of the requirements of the Ukrainian legislation about informational publicity and transparency of the budget process in the CTCs of Lvivska oblast established in 2015-2017 and shows positive and negative moments in displaying of financial information on CTCs’ sites. A number of measures are proposed to increase the information publicity and transparency of the budget process at the local level. The author considers that in order to ensure publicity and transparency of the budget process in the CTCs of Lvivska oblast it is necessary: to unify and maximally simplify the mechanism of access of CTCs’ members to financial information through the standardization of the procedure for disclosure of information about the budget process; to increase the personal responsibility of the heads of the CTCs for the lack of financial information that is due to be published on the site of communities; to continuously monitor the availability and updating of information about the budget process on the CTCs’ sites in order to respond in a timely manner to the appearance of possible negative trends; to take preventive measures with the use of appropriate sanctions (fine, removal from office, etc.) in cases of delaying the submission of actual financial information to the site of CTCs, the disclosure of information in its entirety, the discovery of unreliability of financial information or other manipulations with figures or financial documents filed on CTCs’ website.

scholarly journals Field-Scale Soil Moisture Retrieval Using PALSAR-2 Polarimetric Decomposition and Machine Learning

Agronomy ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 35
Author(s):  
Xiaodong Huang ◽  
Beth Ziniti ◽  
Michael H. Cosh ◽  
Michele Reba ◽  
Jinfei Wang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Soil Moisture ◽  
Canopy Cover ◽  
The United States ◽  
Optical Data ◽  
Study Region ◽  
Model Based ◽  
Key Indicator ◽  
Ground Measurement ◽  
L Band

Soil moisture is a key indicator to assess cropland drought and irrigation status as well as forecast production. Compared with the optical data which are obscured by the crop canopy cover, the Synthetic Aperture Radar (SAR) is an efficient tool to detect the surface soil moisture under the vegetation cover due to its strong penetration capability. This paper studies the soil moisture retrieval using the L-band polarimetric Phased Array-type L-band SAR 2 (PALSAR-2) data acquired over the study region in Arkansas in the United States. Both two-component model-based decomposition (SAR data alone) and machine learning (SAR + optical indices) methods are tested and compared in this paper. Validation using independent ground measurement shows that the both methods achieved a Root Mean Square Error (RMSE) of less than 10 (vol.%), while the machine learning methods outperform the model-based decomposition, achieving an RMSE of 7.70 (vol.%) and R2 of 0.60.

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