Bayesian estimate of the intensity of a source in the presence of a radiation background

Atomic Energy ◽  
1998 ◽  
Vol 85 (1) ◽  
pp. 501-505
Author(s):  
R. M. Zaidel'
Keyword(s):  
Bayesian Estimate ◽  
Radiation Background

Features of sanitary and hygienic characteristics of silvinite complexes

2020 ◽  
pp. 57-62
Author(s):  
E. Ryazanova ◽  
V. Barannikov ◽  
V. Khokhryakova ◽  
L. Kirichenko ◽  
S. Selivanova
Keyword(s):  
Video Camera ◽  
Treatment Center ◽  
Internal Environment ◽  
Radiation Background ◽  
Medical Environment ◽  
Light Levels ◽  
Salt Complex ◽  
Radio Equipment ◽  
Environment Noise ◽  
Medical University

Currently, medical technologies based on natural factors are widely used in practical health care, including the effect of the medicinal properties of the mineral silvinite (natural potassium salts of the Verkhnekamsk Deposit) on the patient’s body. However, there is no regulatory framework for sanitary control of such devices. The aim of the study was to develop methodological approaches to the hygienic assessment of silvinite complexes. The analysis of the current regulations used in carrying out hygienic supervision and preventive measures in the salt structures that are part of the silvinite complexes is carried out. Based on long-term hygienic studies of silvinite structures by the salt treatment Center of Perm medical University. academician E. A. Wagner together with LLC NPK «Medical climate» (Tchaikovsky) developed and implemented sanitary and hygienic requirements for the created salt complexes. It is a complex of structural divisions, including the place of stay and treatment of patients, as well as the salt device. All units must meet the requirements of current sanitary rules and regulations. It is necessary to conduct a thorough survey of the location of the future salt complex. Optimal conditions of the internal environment in silvinite structures are determined by a special air preparation system consisting of air conditioning and cleaning of the external air using a filter-saturator. The special hygienic requirements of the sylvinite furniture in the room, the decoration of walls, ceilings and floors. The room must be equipped with radio equipment and a video camera for monitoring patients. Full expanded hygienic control of the parameters of the medical environment of silvinite premises should be carried out at least once a year according to the following indicators: microclimate parameters, content of multicomponent fine salt aerosol, aeroionic composition of the air environment, radiation background, microbial contamination of the internal environment, noise and light levels. Thus, increasing the use of salt therapy requires further research to improve the sanitary and hygienic control of silvinite complexes.

Comments on "Two dimensional Bayesian estimate of images"

1976 ◽  
Vol 64 (8) ◽  
pp. 1255-1257 ◽  
Author(s):  
M.G. Strintzis ◽  
A. Habibi
Keyword(s):  
Bayesian Estimate ◽  
Two Dimensional

scholarly journals Nonlinear propagation of incoherent photons in a radiation background

2004 ◽  
Vol 330 (3-4) ◽  
pp. 131-136 ◽  
Author(s):  
Padma K. Shukla ◽  
Mattias Marklund ◽  
Gert Brodin ◽  
Lennart Stenflo
Keyword(s):  
Nonlinear Propagation ◽  
Radiation Background

A Bayesian Estimate of the Pricing Kernel

2016 ◽  
Author(s):  
Chiara Legnazzi ◽  
Giovanni Barone-Adesi ◽  
Antonietta Mira
Keyword(s):  
Bayesian Estimate ◽  
Pricing Kernel

scholarly journals Adjusting An Existing Forecasting Model When Some Future Demands Are Known In Advance: A Bayesian Technique

2011 ◽  
Vol 4 (7) ◽  
Author(s):  
Raida Abuizam ◽  
Nick T. Thomopoulos
Keyword(s):  
Bayesian Estimate ◽  
Forecasting Model ◽  
Expected Number ◽  
Future Period ◽  
Forecasting Error ◽  
Future Demands

The purpose of this research is to provide a model which can be used to adjust forecasts that are already available. It analyzes the components of the advanced demand, namely, the number of orders and their corresponding order size. It explores and analyzes the possibility of using the expected number of orders for a future period as the variable to be estimated. The Bayesian estimate of the expected number of orders is used in determining the adjusted forecast. A simulation is applied to calculate a ratio between the adjusting forecasting error and the original forecasting error. Results prove that the adjusted forecast provides greater accuracy for different probable values of getting an order in advance.

Sign in / Sign up

Export Citation Format

Share Document