scholarly journals Nuclear halo measurements for accurate prediction of field size factor in a Varian ProBeam proton PBS system

2019 ◽  
Vol 21 (1) ◽  
pp. 197-204 ◽  
Author(s):  
Joseph Harms ◽  
Chih‐Wei Chang ◽  
Rongxiao Zhang ◽  
Liyong Lin
Keyword(s):  
Accurate Prediction ◽  
Field Size ◽  
Size Factor ◽  
Nuclear Halo

SU-E-T-364: Measurements of Field Size Factor for Proton Therapy

2011 ◽  
Vol 38 (6Part16) ◽  
pp. 3571-3571
Author(s):  
Z Zhao ◽  
C Toramatsu ◽  
R Slopsema ◽  
Z Li
Keyword(s):  
Proton Therapy ◽  
Field Size ◽  
Size Factor

Combining First-Principles and Data Modeling for the Accurate Prediction of the Refractive Index of Organic Polymers

2017 ◽  
Author(s):  
Mohammad Atif Faiz Afzal ◽  
Chong Cheng ◽  
Johannes Hachmann
Keyword(s):  
First Principles ◽  
Data Modeling ◽  
Accurate Prediction ◽  
Index Of Refraction ◽  
Structure Theory ◽  
Organic Polymers ◽  
Number Density ◽  
Lorenz Equation ◽  
In Silico Studies ◽  
Wide Range

Organic materials with a high index of refraction (RI) are attracting considerable interest due to their potential application in optic and optoelectronic devices. However, most of these applications require an RI value of 1.7 or larger, while typical carbon-based polymers only exhibit values in the range of 1.3–1.5. This paper introduces an efficient computational protocol for the accurate prediction of RI values in polymers to facilitate in silico studies that an guide the discovery and design of next-generation high-RI materials. Our protocol is based on the Lorentz-Lorenz equation and is parametrized by the polarizability and number density values of a given candidate compound. In the proposed scheme, we compute the former using first-principles electronic structure theory and the latter using an approximation based on van der Waals volumes. The critical parameter in the number density approximation is the packing fraction of the bulk polymer, for which we have devised a machine learning model. We demonstrate the performance of the proposed RI protocol by testing its predictions against the experimentally known RI values of 112 optical polymers. Our approach to combine first-principles and data modeling emerges as both a successful and highly economical path to determining the RI values for a wide range of organic polymers.

Immunodetection of Ostertagia ostertagi in Cattle Milk Samples in Wasit Province

2017 ◽  
Vol 1 (28) ◽  
pp. 637-648
Author(s):  
Abbas Hassan Khlaty Al-Sray
Keyword(s):  
Milk Production ◽  
Herd Size ◽  
Elisa Test ◽  
Production Factor ◽  
Size Factor ◽  
Ostertagia Ostertagi ◽  
Milk Samples ◽  
Management Group ◽  
Breed Group ◽  
Age Factor

The aim of present study was to detect the seroprevalence of Ostertagia ostertagi specific antibodies in cattle milk samples in Wasit province, by using the indirect ELISA test for first time in Iraq. For this purpose, an overall 368 dairies cow was submitted for study and the results were revealed that 51 (13.86 %) of tested cows were positive, and the mean optic density ratios (ODRs) of ELISA test values in seropositive cattle were 0.58. Also, this study aimed to investigate an association of seropositive results with some epidemiological risk factors. Hence, the positive results, according to these factors, were as follow: in milk production factor, 6.32 % for ³18 liters/day group, 14.29 % for ³10-18 liters/day group, and 25 % for < 10 liters/day group; in age factor, 13.41% for ³3-6 years group, and 14.75% for >6 years group; in breed factor, 18.27% for local breed group, 12.17% for cross-breed group, and 12% for pure breed group; in farm management factor, 21.35% for bad management group, and 5.68% for good management group; and in herd size factor, 11.59% for <25 (cow/herd) group, and 17.78% for ³ 25 (cow/herd) group. Statistically, the significant differences (P£ 0.05) were observed among related groups of milk production, breed, husbandry management, and herd size factors; while it’s not reported among groups of age factor.

Harvest Field Sizing as a Technique to Remove Undersize French Prunes

HortScience ◽  
1998 ◽  
Vol 33 (3) ◽  
pp. 452a-452
Author(s):  
Richard Buchner ◽  
Seeley Mudd ◽  
Bruce Carroll ◽  
Mark Gilles
Keyword(s):  
Sugar Content ◽  
Economic Value ◽  
Market Value ◽  
Dry Weight ◽  
Soluble Solids ◽  
Field Size ◽  
Test Machine ◽  
Test Field ◽  
Marginal Value ◽  
High Sugar Content

Overall profitability is a major goal in successful prune production and a major component in any prune management system. Large prune crops in 1996 and 1997 have stimulated considerable interest in undersize fruit. Undersize prunes currently have marginal value and may represent a net loss because of costs to haul, dry, and to market order payments on low value prunes. One technique to control delivery size is to field size at harvest. Field sizing involves installing size-sorting devices on harvesters, which allow small prunes to fall out while valuable fruit is collected. Field sizing is considered a “risky” strategy because of the potential to remove prunes with economic value. During the 1997 harvest, 21 infield harvest sizing evaluations were made in prune orchards throughout Tehama county. The first evaluation occurred on 12 Aug. 1997, at the start of prune harvest. The final evaluation was done on 5 Sept. 1997, at the tail end of harvest. The objective was to sample throughout the harvest period to test field sizing under various sugar, size, and fruit pressure scenarios. The test machine was 1-inch bar sizer. Of the 21 sample dates, undersize fruit was clearly not marketable in 20 of the 21 samples. Discarded fruit averaged 133 dry count per pound. Only one sample out of 21 may have had market value at 86 dry count per pound. Although small in size, these prunes had very high sugar content contributing to their dry weight. In this evaluation, a 1-inch bar sizer did a good job of separating fruit with and without market value under the 1997 price schedule. As harvest date becomes later and soluble solids increase, the chances of sorting out marketable prunes also increases.

Actual issues of valuation of businesses of the economic entity

2017 ◽  
Vol 31 (2) ◽  
pp. 156-162 ◽  
Author(s):  
O. V. Schneider
Keyword(s):  
Discount Rate ◽  
Accurate Prediction ◽  
Economic Activities ◽  
Business Valuation ◽  
Economic Entity ◽  
The World ◽  
Definition Of

The article summarizes the main approaches in the definition of business valuation the economic entity. In the process of business valuation, taking into account the risks of financial and economic activities necessary to obtain information on what stage the owner implements the business will receive income. The most difficult task is the impossibility of accurate prediction in determining the level of income and the determination of a discount rate capitalization of future incomes due to the instability of the economy, both in the country and around the world.

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