Additive simulation of Raman light scattering from skin cancer using the Monte Carlo method

2020 ◽  
Author(s):  
Irina A. Matveeva ◽  
Oleg O. Myakinin ◽  
Yulia A. Khristoforova ◽  
Ivan A. Bratchenko ◽  
Alexander A. Moryatov ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Light Scattering ◽  
Monte Carlo Method ◽  
Skin Cancer ◽  
Raman Light Scattering ◽  
The Monte Carlo Method

scholarly journals Additive Approach to Simulation of Malignant Neoplasms Using the Monte Carlo Method

2020 ◽  
pp. 030302
Author(s):  
Irina A. Matveeva ◽  
Oleg O. Myakinin ◽  
Vseslav O. Vinokurov ◽  
Yulia A. Khristoforova ◽  
Ivan A. Bratchenko ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Raman Spectrum ◽  
Light Scattering ◽  
Monte Carlo Method ◽  
Malignant Melanoma ◽  
Basal Cell Carcinoma ◽  
Normal Skin ◽  
Raman Light Scattering ◽  
The Monte Carlo Method

The paper is devoted to additive simulation of Raman light scattering by skin cancer using the Monte Carlo method. Raman light scattering from normal skin, malignant melanoma and basal cell carcinoma is investigated. Based on the photon transport algorithm proposed by L. Wang and S. L. Jacques, a two-stage algorithm for simulating Raman light scattering from skin has been developed. A method for additive modeling of skin pathologies is proposed. The main idea of this method is a hypothesis that an experimental Raman spectrum of normal skin, obtained by averaging in vivo Raman spectra of normal skin, may be served as a “substrate” for the feature simulated Raman spectrum. Thus, the pathology, for their part, may be “grown” by adding on this “substrate” Raman specific components set related to a tumor type. Additive simulation of malignant melanoma on various stages and basal cell carcinoma has been carried out. The possibility of using the developed algorithm to determine the component composition of the skin by the in vivo Raman spectrum of skin is discussed. An attempt to evaluate the change in the concentration of skin components during the development of cancer has been made.

Research on the characteristics of light scattering by underwater air bubble film based on the Monte Carlo method

2009 ◽  
Author(s):  
Yang Yu ◽  
Jiang-an Wang ◽  
Zhi-guo Ma ◽  
Sheng-wei Shi ◽  
Shan-yong Liang ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Light Scattering ◽  
Monte Carlo Method ◽  
Air Bubble ◽  
The Monte Carlo Method

UGR CALCULATION BASED ON THE LUMINANCE SPATIAL-ANGULAR DISTRIBUTION

2020 ◽  
Vol 2020 (4) ◽  
pp. 25-32
Author(s):  
Viktor Zheltov ◽  
Viktor Chembaev
Keyword(s):  
Monte Carlo ◽  
Angular Distribution ◽  
Monte Carlo Method ◽  
Visual Task ◽  
New Method ◽  
Lighting System ◽  
Preliminary Assessment ◽  
System A ◽  
The Monte Carlo Method

The article has considered the calculation of the unified glare rating (UGR) based on the luminance spatial-angular distribution (LSAD). The method of local estimations of the Monte Carlo method is proposed as a method for modeling LSAD. On the basis of LSAD, it becomes possible to evaluate the quality of lighting by many criteria, including the generally accepted UGR. UGR allows preliminary assessment of the level of comfort for performing a visual task in a lighting system. A new method of "pixel-by-pixel" calculation of UGR based on LSAD is proposed.

PSHA software review based on the Monte Carlo method

2020 ◽  
pp. 14-24
Author(s):  
V.A. Mironov ◽  
S.A. Peretokin ◽  
K.V. Simonov
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Seismic Hazard ◽  
Hazard Analysis ◽  
Software Review ◽  
Seismic Hazard Analysis ◽  
Probabilistic Seismic Hazard ◽  
Test Calculation ◽  
Seismic Surveys ◽  
The Monte Carlo Method

The article is a continuation of the software research to perform probabilistic seismic hazard analysis (PSHA) as one of the main stages in engineering seismic surveys. The article provides an overview of modern software for PSHA based on the Monte Carlo method, describes in detail the work of foreign programs OpenQuake Engine and EqHaz. A test calculation of seismic hazard was carried out to compare the functionality of domestic and foreign software.

Application of the Monte Carlo Method for the Prediction of Behavior of Peptides

2019 ◽  
Vol 20 (12) ◽  
pp. 1151-1157 ◽  
Author(s):  
Alla P. Toropova ◽  
Andrey A. Toropov
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Natural Sciences ◽  
Monte Carlo Technique ◽  
Quantitative Structure ◽  
Structure Property ◽  
The Monte Carlo Method ◽  
Modern Natural

Prediction of physicochemical and biochemical behavior of peptides is an important and attractive task of the modern natural sciences, since these substances have a key role in life processes. The Monte Carlo technique is a possible way to solve the above task. The Monte Carlo method is a tool with different applications relative to the study of peptides: (i) analysis of the 3D configurations (conformers); (ii) establishment of quantitative structure – property / activity relationships (QSPRs/QSARs); and (iii) development of databases on the biopolymers. Current ideas related to application of the Monte Carlo technique for studying peptides and biopolymers have been discussed in this review.

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