Wolfram on CineNeural

Summary of the Wolfram 2020 08 China Student Ambassador Presentation

Thu, 20 Aug 2020 20:14:31 +0800

Tonight, I attended the Wolfram 2020 08-20 China Student Ambassador Presentation via Zoom.

During the intermission, I won a grand prize of 3000RMB worth of System Modeler modeling program, which I am going to install on my MacBookPro to study various physical and biological modeling.

If you are interested in Mathematica, you can attend Wolfram 2020/09/08 China Virtual Technology Conference, where many big names will be speaking.

Mathematica Metaprogramming

speaker’s Github address

Intro Wolfram Physic Project

Mon, 10 Aug 2020 18:42:36 +0800

Wolfram Theoretical Physics Program - In Search of the Ultimate Theory

Wolfram 2020 08 20 Lecture

Tue, 28 Jul 2020 10:55:19 +0800

Wolfram 2020 08-20 China Student Ambassador Presentation

The following topics are of interest to me, and I am currently starting my own business in Wolfram and Python, with Wolfram being the main language for prototyping and exploring initial ideas. After watching the following presentations, I will focus on biomedical and retinal image analysis as a deep learning research topic.

18:00-19:00

Jingxian Wang, Department of Physics, Peking University.

Meta-programming Basis in Mathematica.

Epidemic Modeling

Mon, 06 Apr 2020 20:19:52 +0800

SIR Modeling

The SIR classical model is mainly used in the field of infectious diseases to predict future trends in the number of infections.

S[t] denotes susceptible susceptible population

I[t] denotes infected population already infected

R[t] indicates recovered recovered population

Reference:

MathWorld:

Kermack-McKendrick Model

The original Kermack-McKendrick model was designed to account for changes in the number of people infected over time, like the plague that occurred in 1665-1666 and the cholera that occurred in 1865. The model assumes that the total population is fixed, that the incubation period for infectious diseases is instantaneous, that the duration of infection is the same as the disease cycle, and that the population is assumed to be non-differentiable, without differences by gender or race.

Foundations of Modelica systemmodeler with Mathematica (1)

Mon, 30 Mar 2020 16:31:03 +0800

modelica Modeling Primer-1