本报告是关于环网的白皮书，您可以在这里找到tex源和编译文件。
This repo is about whitepapers of rings network, you can find tex sources and compiled files here. (2024-03-03, TeX, 0KB, 下载0次)
在经典引力和修正牛顿动力学下模拟银河系的引力势，模拟恒星轨道以创建轨道曲线。
A simulation of the gravitational potential of the Milky Way Galaxy under both classical gravity and modified Newtonian dynamics, with simulations of stellar orbits to create orbit curves. (2024-02-16, TeX, 0KB, 下载0次)
食物网概率的生态学解释手稿。
Manuscript on the ecological interpretation of probabilities in food webs. (2024-02-11, TeX, 0KB, 下载0次)
书本、网课、舞台剧、部分期刊论文笔记记录。
Books, online courses, stage plays, and notes of some journal papers. (2023-10-03, TeX, 0KB, 下载0次)
我的论文通信网络中多利益相关者场景的建模与评估
My dissertation Modeling and Evaluation of Multi-Stakeholder Scenarios in Communication Networks (2016-05-06, TeX, 0KB, 下载0次)
量化银河系流对暗物质晕参数的限制，
Quantifying constraints that Milky Way streams put on dark matter halo parameters, (2018-09-12, TeX, 0KB, 下载0次)
一些满文学习笔记,以及使用LaTeX和太清网转写方案混排汉满文档的尝试。,
Some Manchu learning notes, as well as attempts to use LaTeX and Taiqing to transcribe Chinese Manchu documents., (2023-07-29, TeX, 0KB, 下载0次)
《网络语义学杂志》（Journal of Web Semantics）关于管理数据网络的演变和保存的专刊文章，
Article for the Journal of Web Semantics Special Issue on Managing the Evolution and Preservation of the Data Web, (2019-05-16, TeX, 0KB, 下载0次)
基于猪咪不是猪老哥制作的 微 信 公众号推送教程
Based on the WeChat public account push tutorial produced by Pig Mi instead of Brother Pig (2022-09-02, TeX, 0KB, 下载0次)
从科学网（以前的知识网）批量下载书目条目，并转换为BibTeX格式。
Batch-download bibliographic entries from Web of Science (formerly Web of Knowledge) and convert to BibTeX format. (2017-09-06, TeX, 423KB, 下载0次)
DIY离网系统简介，包含能源平等需求源文件的存储库“DIY离网...
Repository containing source files of Demand for Energy Equality s guide on "Intro?? ??to?? ??DIY?? ??Off?? ??Grid?? ??Systems" in a machine readable format to increase accessibility, improvements, corrections and speed of translation (2022-11-11, TeX, 26597KB, 下载0次)
纽约大学彭博资讯机器学习，由彭博资讯首席技术官办公室David S.Rosenberg提供。这门课程也是最经典的机器学习
NYU-Bloomberg-Machine-Learning,Delivered by David S. Rosenberg, Office of the CTO at Bloomberg. This course is also the most classical machine learning (2019-07-23, TeX, 432KB, 下载0次)