Reference
76 sites
https://math.ucla.edu/~asl
The ASL Typesetting Office provides LaTeX and TeX style files for authors submitting to publications of the Association for Symbolic Logic, including the Journal of Symbolic Logic and the Bulletin of Symbolic Logic. Maintained by Reinhard Kahle, the site offers document classes, BibTeX stylefiles, proof packages, and guides to help researchers format their work to ASL's exact typesetting standards.
https://jgregorymcverry.com/
Greg McVerry is a digitally networked scholar based in East Haddam, CT, whose site INTERTEXTrEVOLUTION explores the intersections of literacy, digital learning, and making through articles, blog posts, poetry, and podcasts. Organized around the motto 'Make. Hack. Play. Learn.', the site reflects his academic and creative philosophy that learning is interest-driven, production-based, and deeply tied to digital tools and networked communities.
https://aispotting.neocities.org/
AIspotting is a curated directory of guides and tools for identifying AI-generated content across visual art, writing, and other media, helping people protect themselves from AI fraud and misinformation. It also collects resources for artists to protect their work from being used in AI training, along with recommendations for AI-free creative platforms.
https://bactra.org/
Cosma Shalizi's sprawling academic homepage offers a remarkable archive of book reviews, research notes, lecture materials, and personal essays spanning mathematics, statistics, science, and more. The Bactra Review alone contains over 130 wide-ranging book reviews, making this a genuinely rich intellectual resource built over decades.
http://bowest.com.au/library/theorems.html
A comprehensive reference page from BOWest covering the full range of electrical circuit theorems, including Ohm's Law, Kirchhoff's Laws, Thevenin's and Norton's Theorems, Millman's Theorem, and Star-Delta transformations. Each theorem is presented with clear notation, formulas, and derivations, making it a handy technical reference for students and engineers alike.
https://itl.nist.gov/div898/handbook/index.htm
The NIST/SEMATECH e-Handbook of Statistical Methods is a comprehensive online reference produced by the National Institute of Standards and Technology, covering statistical techniques used in science, engineering, and manufacturing. It serves as an authoritative guide for practitioners needing rigorous, well-documented methods for data analysis, quality control, and process improvement.