Composition of both Vanilla RTX & Vanilla RTX Normals. Featuring an unprecedented level of detail.
The Vanilla RTX Resource Pack. Everything is covered!
Vanilla RTX with handcrafted 16x normal maps for all blocks!
An open-source app that lets you auto-update Vanilla RTX packs, tune fog, lighting and materials, launch Minecraft RTX with ease, and more!
A branch of Vanilla RTX projects, made fully compatible with the new Vibrant Visuals graphics mode.
A series of smaller packages that give certain blocks more interesting properties with ray tracing!
Optional Vanilla RTX extensions to extend ray tracing support to content available under Minecraft: Education Edition (Chemistry) toggle.
Replaces all Education Edition Element block textures with high definition or exotic materials for creative builds with ray tracing. Features over 88 designs, including some inspired by Nvidia's early Minecraft RTX demos!
An app to automatically convert regular Bedrock Edition resource packs for ray tracing through specialized algorithms (Closed Beta)
: A must-read for those specializing in healthcare information systems or process analysis.
: One of the book's greatest strengths is its "Healthcare Reference Model." It provides a clear framework for the types of data available in hospitals and how they relate, making it easier for practitioners to know where to start.
: Anyone looking to apply process-oriented thinking to highly variable, patient-centered environments.
The book (2015) is a seminal work for anyone looking to apply data-driven analysis to complex medical environments. Written by industry heavyweights Ronny S. Mans, Wil van der Aalst, and Rob Vanwersch, it serves as a practical bridge between theoretical data science and the messy reality of hospital operations. Review Highlights
: A must-read for those specializing in healthcare information systems or process analysis.
: One of the book's greatest strengths is its "Healthcare Reference Model." It provides a clear framework for the types of data available in hospitals and how they relate, making it easier for practitioners to know where to start.
: Anyone looking to apply process-oriented thinking to highly variable, patient-centered environments.
The book (2015) is a seminal work for anyone looking to apply data-driven analysis to complex medical environments. Written by industry heavyweights Ronny S. Mans, Wil van der Aalst, and Rob Vanwersch, it serves as a practical bridge between theoretical data science and the messy reality of hospital operations. Review Highlights