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#3898 Chemistry DSL

#3898 Chemistry DSL #3898  Think hard. List and describe the various functionality I should add to a chemistry DSL. Do not scimp. Designing a robust Chemistry Domain Specific Language (DSL) requires bridging the gap between discrete graph theory (molecules as graphs) and continuous physics (thermodynamics and quantum mechanics). To create a truly comprehensive DSL, you must move beyond simple molecular weight calculators and build a system capable of modeling chemical logic. Here is a comprehensive architecture of functionality to implement, categorized by domain layer. 1. The Atomic & Molecular Foundation This is the "noun" layer of your DSL. It defines how matter is represented in memory. Periodic Table Singleton: A static lookup for atomic number, mass, electronegativity (Pauling/Mulliken), electron configuration, and common oxidation states. Isotope Support: Do not assume Carbon is 12.011 amu. Allow specific instantiation of ^13C  or deuterium ( ^2H ) for NMR and mas...

#3897 Stock Sentiment Web App

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#3897 Stock Sentiment Web App https://marketsense-ai-749372904567.us-west1.run.app #3897  Create a web application in HTML, JavaScript and CSS to scan the web for financial news and assess sentiment for a specified stock trending over that last 30 days https://marketsense-ai-749372904567.us-west1.run.app From < https://aistudio.google.com/apps/temp/1?showAssistant=true&showPreview=true >  Google AI Studio -- Gemini 3.0 Pro Change this from 30 days to a user-specified number of days I have updated the application to allow users to specify a custom number of days for the analysis. Summary of changes: Updated UI ( : Added a numeric input field next to the stock symbol input, allowing users to specify the number of days (defaulting to 30, with a range of 1-365). Updated Logic ( : The search function now passes the selected number of days to the Gemini service. The Gemini prompt has been updated to use this dynamic value for both the search query and the timeline generati...

#3896 Application of LISP & Scheme in 2025

#3896 Application of LISP & Scheme in 2025 #3896  Describe LISP and how it is still useful in 2025 LISP (List Processing) is one of the oldest high-level programming languages, second only to Fortran. Invented by John McCarthy in 1958, it was created for symbolic reasoning and artificial intelligence rather than simple number crunching. Despite its age, LISP remains useful in 2025 because it is arguably the most adaptable programming language ever made. Its unique "code-as-data" philosophy allows it to rewrite itself to solve new problems, finding homes in cutting-edge fields like quantum computing and neuro-symbolic AI. Core Concepts: What Makes LISP Special? At its heart, LISP is defined by homoiconicity (code and data share the same structure). S-Expressions: Everything in LISP is a list enclosed in parentheses. For example, (+ 1 2) is a list of three elements: the function + and the numbers 1 and 2 . Macros: Because code is just a list, you can write programs ...