Podcast Collection

Disclaimer: AI-Generated Content and Accuracy

This webpage hosts experimental content, including AI-generated podcasts based on published papers. The podcasts may contain less accurate information. For scientifically verified details, please refer to the original published papers. 

Papers:

• Podcast: https://bit.ly/4aPZWfv
  Shen, B.-W., 2023: A Review of Lorenz's Models from 1960 to 2008. International Journal of Bifurcation and Chaos. Vol. 33, No. 10, 2330024 (2023).  https://doi.org/10.1142/S0218127423300240. (Feature Article) 
   
• Podcast: https://bit.ly/3Uuuj3N (v1) https://bit.ly/3Wvtbhu (v2)
  Shen, B.-W., 2025: Attractor Coexistence, Butterfly Effects, and Chaos (ABC): A Review of Lorenz Models and a Generalized Lorenz Model. In: Skiadas, C.H., Dimotikalis, Y. (eds) 16th Chaotic Modeling and Simulation International Conference. CHAOS 2023. Springer Proceedings in Complexity. Springer, Cham.  https://doi.org/10.1007/978-3-031-60907-7_42 
   
• Podcast https://bit.ly/47rFrnD
  Shen, B.-W.*, R. A. Pielke Sr., X. Zeng, and X. Zeng, 2024: Exploring the Origin of the Two-Week Predictability Limit: A Revisit of Lorenz’s Predictability Studies in the 1960s. Atmosphere 2024, 15(7), 837; https://doi.org/10.3390/atmos15070837
   
• Podcast: https://bit.ly/4daksqk
  Shen, B.-W., R. A. Pielke Sr., Xubin Zeng, 2024: A Summary of Two Kinds of Butterfly Effects. Available from ResearchGate: https://doi.org/10.13140/RG.2.2.32401.24163
   
• Podcast: https://bit.ly/3ZP8OOK (V1) https://bit.ly/4e2dMeF (V5)
  Shen, B.-W., 2024: Using Transformers to Investigate Downscaling in the Generalized Lorenz Model. Course Materials. San Diego State University. 
  https://doi.org/10.13140/RG.2.2.11127.84642

Course Materials 

Spring 2025

Two lectures have been allocated and distributed throughout the semester to introduce the transformer for Math340. These lectures cover the fundamental concepts of transformer models. Tasks designed to reinforce these concepts are distributed across multiple  homework assignments throughout the semester.

• Podcast: https://bit.ly/4jztgun 
  Shen, B.-W., 2025: Lecture #1. Math340 Programming in Mathematics. San Diego State University.  
  
   
• Podcast: https://bit.ly/3EkLb81 (V1); https://bit.ly/4gpsVYn (V2)
  Shen, B.-W., 2025: Lecture #3b: Introduction to Foundation Models for Mathematical Programming. Course Materials for Math340. San Diego State University.  http://doi.org/10.13140/RG.2.2.24063.32169  
  
   
• Podcast: https://bit.ly/4i1SNLd
  Shen, B.-W., 2025: Lecture #4x: Word Embedding and Cosine Similarity in HW4. http://doi.org/10.13140/RG.2.2.14525.78563 (The specific slide file contains tasks  related to the concepts of word embedding and cosine similarity.) 

Fall 2024

• Podcast: https://bit.ly/47xq90C
  Shen, B.-W., 2024: An Introduction to Calculus 3. San Diego State University. 
  
   
• Podcast: https://bit.ly/3MMXriN
  Shen, B.-W., 2024: A Review of Chapters 12 and 13 for Calculus 3. San Diego State University. 
  
   
• Podcast: https://bit.ly/4hoI9yJ
  Shen, B.-W., 2024: A Review of Chapter 14 for Calculus 3. San Diego State University.
   
• Postcast: https://bit.ly/4fVXYLE (Short) https://bit.ly/49mIcrd (Full)
  Shen, B.-W., 2024:Supplementary Materials for Math 252 Calculus III Students: Explaining Backpropagation in Neural Networks. San Diego State University. 
   https://doi.org/10.13140/RG.2.2.36499.28960
   
• Postcast: https://bit.ly/3OZUBrx 
  Shen, B.-W., 2024: Exam Questions for Math340.