scholarly journals Semi‐analytical SPH Correction Factors for Polynomial Kernels and Piecewise‐planar Boundaries

2021 ◽  
Author(s):  
Wawrzyniec Kostorz ◽  
Anton Esmail‐Yakas
Keyword(s):  
Correction Factors ◽  
Polynomial Kernels

Weaning Weight Correction Factors from Angus Field Data

1978 ◽  
Vol 47 (1) ◽  
pp. 124-130 ◽  
Author(s):  
J. H. Anderson ◽  
R. L. Wilham
Keyword(s):  
Field Data ◽  
Correction Factors ◽  
Weaning Weight ◽  
Weight Correction

Поправочные коэффициенты в формулах для расчета содержания примесей: сущность, способы определения и их ограничения

2019 ◽  
Vol 53 (5) ◽  
pp. 55-60 ◽  
Author(s):  
Наум Аронович Эпштейн
Keyword(s):  
Correction Factors ◽  
Response Factors ◽  
Relative Response

Представлены формулы для расчета коэффициентов относительной чувствительности RRF (relative response factors) и поправочных коэффициентов F (correction factors) примесей, а также формулы, необходимые для понимания сущности коэффициентов RRF и F. Рассмотрены основные способы определения поправочных коэффициентов и их ограничения (условия, выполнение которых необходимо для корректного определения RRF и F). Эти ограничения не отражены в Европейской фармакопее и в Фармакопее США, но от их учета зависит правильность определения значений поправочных коэффициентов. Приведены примеры и даны рекомендации для надежного определения и правильного использования поправочных коэффициентов.

Preventing Accidental Spills: Risk Analysis and the Discharge Permitting Process

1994 ◽  
Vol 29 (3) ◽  
pp. 189-197 ◽  
Author(s):  
Frans A. N. van Baardwijk
Keyword(s):  
Risk Analysis ◽  
Surface Waters ◽  
Legal Framework ◽  
Sewage Water ◽  
Correction Factors ◽  
Analysis Method ◽  
Sewage Water Treatment ◽  
Accident Scenarios ◽  
Contaminating Substances ◽  
Permitting Process

The contribution of accidental discharges to the total emission of contaminating substances in surface waters is relatively increasing, as regular discharges are reduced. In The Netherlands a program has been started to develop a quantitative risk analysis method to be used within the discharge permitting process. The methodology takes into account the type of activities and related accident scenarios in terms of failure frequencies and source sizes, correction factors according to specific circumstances, as well as the nature of the receiving system (types of surface waters, but also public sewage water treatment plants). The methodology will provide an indication of the risk reduction needed in terms of reducing the frequency and/or the volume of possible spills. The method itself, the use of it within the legal framework and the relation with the EC-Directives are discussed.

Near-field correction factors for elliptical fibres

1980 ◽  
Vol 16 (15) ◽  
pp. 580 ◽  
Author(s):  
Hansen J.J. Ramskov ◽  
M.J. Adams ◽  
A. Ankiewicz ◽  
F.M.E. Sladen
Keyword(s):  
Near Field ◽  
Correction Factors

Normalization and correction factors for magnetic tunnel junction sensor performances comparison

2021 ◽  
pp. 1-1
Author(s):  
E. Monteblanco ◽  
A. Solignac ◽  
C. Chopin ◽  
J. Moulin ◽  
P. Belliot ◽  
...  
Keyword(s):  
Tunnel Junction ◽  
Magnetic Tunnel Junction ◽  
Correction Factors

scholarly journals A new approach to radon temporal correction factor based on active environmental monitoring devices

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
T. Dicu ◽  
B. D. Burghele ◽  
M. Botoş ◽  
A. Cucoș ◽  
G. Dobrei ◽  
...  
Keyword(s):  
Radon Concentration ◽  
Residential Buildings ◽  
Indoor Radon ◽  
Smart Device ◽  
Correction Factors ◽  
Indoor Radon Concentration ◽  
Radon Measurements ◽  
The Impact ◽  
Monitoring Devices ◽  
Temporal Correction

AbstractThe present study aims to identify novel means of increasing the accuracy of the estimated annual indoor radon concentration based on the application of temporal correction factors to short-term radon measurements. The necessity of accurate and more reliable temporal correction factors is in high demand, in the present age of speed. In this sense, radon measurements were continuously carried out, using a newly developed smart device accompanied by CR-39 detectors, for one full year, in 71 residential buildings located in 5 Romanian cities. The coefficient of variation for the temporal correction factors calculated for combinations between the start month and the duration of the measurement presented a low value (less than 10%) for measurements longer than 7 months, while a variability close to 20% can be reached by measurements of up to 4 months. Results obtained by generalized estimating equations indicate that average temporal correction factors are positively associated with CO2 ratio, as well as the interaction between this parameter and the month in which the measurement took place. The impact of the indoor-outdoor temperature differences was statistically insignificant. The obtained results could represent a reference point in the elaboration of new strategies for calculating the temporal correction factors and, consequently, the reduction of the uncertainties related to the estimation of the annual indoor radon concentration.

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