This important technical study introduces SCOPE, an optics-free spatial reconstruction method based on bidirectional sender and receiver oligonucleotides on barcoded hydrogel beads. By sequencing ...
In this tutorial, we implement Tree-KG, an advanced hierarchical knowledge graph system that goes beyond traditional retrieval-augmented generation by combining semantic embeddings with explicit graph ...
The paper is now published at Nature Computational Science: "PropMolFlow: Property-guided Molecule Generation with Geometry-Complete Flow Matching", and Demo on an interative website Run the following ...
A deterministic, rule-driven system for reconstructing attack narratives from raw security logs. Designed for SOC/DFIR teams requiring explainable incident correlation without probabilistic ML. Raw ...
High-Throughput Discovery of Ferrocene Mechanophores with Enhanced Reactivity and Network Toughening
NSF Center for the Chemistry of Molecularly Optimized Networks, Duke University, Durham, North Carolina 27708, United States Department of Chemistry, Duke University, Durham, North Carolina 27708, ...
In this tutorial, we guide you through the development of an advanced Graph Agent framework, powered by the Google Gemini API. Our goal is to build intelligent, multi-step agents that execute tasks ...
Comparing connectomes can help explain how neural connectivity is related to genetics, disease, development, learning, and behavior. However, making statistical inferences about the significance and ...
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