Data Mining and Optimize TCM Prescription Compatibility Based on WDS-PLS

2014 ◽  
Vol 687-691 ◽  
pp. 1385-1388
Author(s):  
Zhuo Wang ◽  
Bin Nie ◽  
Ri Yue Yu
Keyword(s):  
Mathematical Modeling ◽  
Experimental Data ◽  
Data Mining ◽  
Regression Coefficient ◽  
Uniform Design ◽  
Herbal Medicines ◽  
Data Standardization ◽  
Modeling Data ◽  
Pls Method ◽  
Original Formula

Data mining and optimize traditional Chinese medicine (TCM) prescription compatibility based on wavelet denoise spectral and partial least squares (WDS-PLS). Method: First of all, experimental design: with reference to the original formula, the herbal medicines in a prescription designed nine formula based on mixing uniform design; Secondly, obtain experimental data and data standardization; Finally, mathematical modeling, data mining and optimize TCM prescription compatibility base on WDS-PLS.Results: gain the regression coefficient and equation, VIP sorting, loadings Bi plot, and seek out the optimized direction of the prescription. Conclusion: the method data mining and optimize the compatibility of the dachengqi decoction is feasible and effective.

Technological Features of the Liquid-Solid State of the Boundary Layer in the Processes of Bimetallic Products

2022 ◽  
Vol 1049 ◽  
pp. 53-61
Author(s):  
Valeriy Lykhoshva ◽  
Dmitry Glushkov ◽  
Elena Reintal ◽  
Valeriy V. Savin ◽  
Ludmila Alexeyevna Savina ◽  
...  
Keyword(s):  
Mathematical Modeling ◽  
Experimental Data ◽  
Boundary Layer ◽  
Solid State ◽  
Liquid Phase ◽  
Contact Zone ◽  
Thermal Field ◽  
Thermal State ◽  
Existence Time ◽  
Modeling Data

The hydrodynamic and thermal state in the contact zone of the layers of a bimetallic product obtained by pouring liquid iron onto a solid steel billet, which changes in time and is responsible for the strength of the diffusion joint and the geometric parameters of the transition layer, has been investigated. Simplified analytical dependences, mathematical modeling data and experimental results of the liquid phase existence time in the contact zone based on research of the melt velocities during pouring and changes in the thermal field are presented. It is shown that simplified calculations data coincide in order and are close in values ​​to the calculations of mathematical modeling and experimental data, which makes it possible to use them for preliminary rough estimates by technologists and metallurgists.

Analysis of Chinese herbal formulae recommended for COVID-19 in different schemes in China: A data mining Approach

2020 ◽  
Vol 23 ◽  
Author(s):  
LiWei Yin ◽  
YaCen Gao ◽  
ZiPing Li ◽  
MengYu Wang ◽  
KaiXin Chen
Keyword(s):  
Data Mining ◽  
Early Stage ◽  
Herbal Medicines ◽  
Chinese Herbs ◽  
Recovery Stage ◽  
Prescription Pattern ◽  
Middle Stage ◽  
Chinese Herbal ◽  
Severe Stage ◽  
Herbal Formulae

Background: Novel coronavirus pneumonia (NCP), or coronavirus disease 2019 (COVID-19), is a worldwide health threat that has affected millions of people globally. Traditional Chinese medicine (TCM) has been introduced for the treatment of COVID-19. However, efficacy differs among herbal medicines, and the ideal prescription pattern for TCM herbal formulae for COVID-19 treatment needs to be explored. Therefore, the data mining method has been used in this study to analyze the TCM prescription pattern for COVID-19. Objective: The aim of this study was to analyze the TCM prescription pattern in Regional Schemes in China for COVID-19 in order to provide a new reference for the use of TCM in COVID-19 treatment. Method: By searching the TCM treatment protocols of COVID-19 in 23 Regional Schemes, TCM syndromes and herbal medicines were analyzed by data mining. The Ancient and Modern Medical Case Cloud Platform (V2.1 personal Edition) was used to perform frequency statistics, correlation analysis, and cluster analysis. A total of 82 TCM syndromes and 171 Chinese herbal medicines were found. The course of the disease can be divided into the early stage, middle stage, severe stage, and recovery stage. Results: In the early stage, the focus is primarily on resolving dampness, dispelling cold, and diffusing the lungs. In the middle stage, the treatment priority is clearing heat and resolving toxins, promoting lung function, and relieving asthma. In the severe stage, the focus is on tonifying Qi, restoring Yang, and relieving depletion of Yin and Yang. In the recovery stage, the main treatment is to invigorate the spleen and regulate Qi, tonify Qi, nourish Yin, and clear residual disease evil. There are certain differences between the Regional Schemes and the Nation Schemes, but the core prescription pattern of the former is consistent with the latter. The effectiveness of these 171 Chinese herbs include but are not limited to inhibiting COVID-19, strengthening immune system function, preventing heart failure, acting as antioxidants, oxidative stress inhibitory effects, maintaining organ function, and improving leukocyte survival. Conclusion: This study may help to improve understanding of TCM herbal prescription pattern, practices, reveal the efficacy of combinations of Chinese herbs, and provide new ideas for TCM treatment for COVID-19.

A Model for Otolith Dynamic Response with a Viscoelastic Gel Layer

1991 ◽  
Vol 1 (2) ◽  
pp. 139-151
Author(s):  
J.W. Grant ◽  
J.R. Cotton
Keyword(s):  
Mathematical Modeling ◽  
Experimental Data ◽  
Equations Of Motion ◽  
Otolith Organs ◽  
Major Contributor ◽  
Viscoelastic Solid ◽  
Gel Layer ◽  
Element System ◽  
Experimental Data Analysis ◽  
Finite Difference Techniques

The otolith organs were modeled mathematically as a 3-element system consisting of a viscous endolymph fluid in contact with a rigid otoconial layer that is attached to the skull by a gel layer. The gel layer was considered to be a viscoelastic solid, and was modeled as a simple Kelvin material. The governing differential equations of motion were derived and nondimensionalized, yielding 3 nondimensional parameters: nondimensional density, nondimensional viscosity, and nondimensional elasticity. The equations were solved using finite difference techniques on a digital computer. By comparing the model’s response with previous experimental research, values for the nondimensional parameters were found. The results indicate that the inclusion of viscous and elastic effects in the gel layer are necessary for the model to produce otoconial layer deflections that are consistent with physiologic displacements. Future experimental data analysis and mathematical modeling effects should include viscoelastic gel layer effects, as this is a major contributor to system damping and response.

Inspiring Online Collaborative STEM Learning

MRS Advances ◽  
2016 ◽  
Vol 1 (56) ◽  
pp. 3727-3733
Author(s):  
Scott A. Sinex ◽  
Theodore L. Chambers ◽  
Joshua B. Halpern
Keyword(s):  
Mathematical Modeling ◽  
Experimental Data ◽  
General Chemistry ◽  
High School Teachers ◽  
Informal Education ◽  
Student Feedback ◽  
Stem Learning ◽  
School Teachers ◽  
Undergraduate Level ◽  
Collaborative Skills

ABSTRACTEducators are advocating a variety of 21st century technologies to increase student engagement and prepare them for the modern workplace. As part of this effort this paper describes the development of several introductory laboratory activities which enhance online collaborative skills in the context of group collaborations. The experiments mostly deal with measurement and error in the context of mathematical modeling. They inculcate online collaborative skills including group writing, collection of experimental data, student feedback, and assessment using forms, spreadsheets with data pooling, real-time graphing/computations, and discussions using chat. These are all available in Google Drive, a free cloudbased application. We have also introduced student collaborative-pair computational spreadsheet assignments, and results of two projects in general chemistry are presented. Building formative assessment into these activities allows for immediate adjustment to instruction. This approach could be used from middle school through the undergraduate level. It can be implemented both in informal education or formal classroom settings by enhancing interactions with remote partners. Student evaluations have been very positive for the variety of activities, as well as from workshop feedback from high school teachers.

MATHEMATICAL MODELING OF IMMUNE-INFLAMMATORY REACTION IN ACUTE PNEUMONIA

1995 ◽  
Vol 03 (02) ◽  
pp. 429-439 ◽  
Author(s):  
S. G. RUDNEV ◽  
A. A. ROMANYUKHA
Keyword(s):  
Mathematical Modeling ◽  
Experimental Data ◽  
Mathematical Model ◽  
Immune Response ◽  
Sensitivity Analysis ◽  
Inflammatory Reaction ◽  
Humoral Immune ◽  
Disease Characteristics ◽  
Acute Pneumonia ◽  
Lung Resistance

Using ordinary differential equations, we propose a mathematical model describing an “averaged” dynamics of variables involved in which some parameters are shown to be important characteristics of lung resistance. The model consists of modified D.A. Lauffenburger’s mathematical model for inflammatory reaction in lungs, and the model of humoral immune response (G. I. Marchuk). Coefficients are identified against clinical and experimental data. We attempt to elucidate some disease characteristics in terms of sensitivity analysis of model solutions with respect to parameters variations.

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