• Posted by | April 3, 2026

    Landscape Reading Model — Text Network Representation

    How do we perceive a text when we read it? The answer to this question can help us understand how attention functions and identify various strategies to enhance our writing. Additionally, it can inspire new methods of reading that increase engagement and accessibility. In this article, we’re going to demonstrate how the landscape reading model can be represented using text networks and how this representation helps generate new ideas and insights in InfraNodus.

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  • Posted by | November 7, 2025

    Towards Ecological Marketing

    A proposal to use the cognitive variability framework in marketing to promote resilience and adaptivity. Exploring the mechanisms that guide development cycles in ecology and their applications in business contexts.

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  • Posted by | September 8, 2025

    HRV Analysis for Peak Athletic Performance: DFA vs LF/HF

    Heart rate variability (HRV) is a powerful window into the autonomic nervous system, helping athletes and coaches peek into the balance between the calming parasympathetic and the activating sympathetic drives. Advanced techniques like detrended fluctuation analysis (DFA) of HRV are bringing fractal and non-linear dynamics into the mix, offering a deeper understanding of how our nervous system regulates exercise intensity and responds to training stress.

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  • Posted by | May 3, 2025

    How to Introduce Your Ideas in Any Discourse

    When we want to learn about a certain topic, we often start from Googling it or asking AI to tell us what it’s about. Search engines and LLMs will provide a result that will look very authoritative, but there is a certain logic to what’s going to be generated and shown at the top. Knowing the rules of this logic can help us regain control of the information that we consume and help us introduce our own ideas into any discourse.

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  • Posted by | February 22, 2025

    Graph RAG and LLMs: How Knowledge Graphs Can Improve AI Ideation

    How to use knowledge graphs to improve the responses of LLM and your own thinking.

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