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Aéšma („Hněv“ v mladší avestánštině), středopersky Chéšman či (Ch)éšm, je v zarathuštrismu daéva hněvu, který vystupuje jak jako samostatná bytost, tak jako démonická vlastnost zmocňující se člověka. Je poslem Angra Mainjua, v mladší Avestě je jeho protivníkem jazata Sraoša ztělesňující poslušnost, disciplínu a zbožnost, který jej přemůže na konci světa.…
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around Aéšma.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See recurring relationship patterns around Aéšma before inspecting the individual extracted relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
mladší jeho konci avestánštině středopersky zarathuštrismu daéva avestě jazata sraoša gáhánbár chvédódah manicheismu áze asmodea hněv chéšman ch éšm hněvu
TTTA extracted structured relationships around Aéšma. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
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The concept neighborhoods around Aéšma bring nearby vocabulary together. In this analysis, examples include Avestánštině, Bytost and Ch. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the Aéšma map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Aéšma to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Aéšma · CS edition · Analysis: TopicsToTalkAbout