@prefix this: <https://w3id.org/np/RAV-Biemfas7bjz-eGrl9eXwqF3wqfPSDK_dwc-d4K89s> .
@prefix sub: <https://w3id.org/np/RAV-Biemfas7bjz-eGrl9eXwqF3wqfPSDK_dwc-d4K89s#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix npx: <http://purl.org/nanopub/x/> .
@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix schema: <https://schema.org/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .

sub:head {
  this: np:hasAssertion sub:assertion;
    np:hasProvenance sub:provenance;
    np:hasPublicationInfo sub:pubinfo;
    a np:Nanopublication .
}

sub:assertion {
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    <http://purl.org/spar/cito/agreesWith> <https://www.mandarinblueprint.com/blog/chinese-memory-palace-sets-for-pinyin-finals/>;
    rdfs:comment """ I'm learning the Hanzi Movie Method, which is a mnemonic technique which taps into our spatial and episodic memory for learning chinese characters. This feels like real learning, not rote information regurgitation. https://www.mandarinblueprint.com/blog/chinese-memory-palace-sets-for-pinyin-finals/

""";
    schema:keywords "chinese-characters", "episodic-memory", "hanzi-movie-method", "mnemonic-techniques",
      "spatial-memory";
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  <https://www.mandarinblueprint.com/blog/chinese-memory-palace-sets-for-pinyin-finals/>
    <https://sense-nets.xyz/hasZoteroItemType> "unknown" .
}

sub:provenance {
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  sub:activity a <https://sense-nets.xyz/supervisedActivity>;
    prov:wasAssociatedWith <https://sense-nets.xyz/> .
  
  sub:assertion prov:linksTo <https://x.com/wesleyfinck/status/1836230909671973279>;
    prov:wasAssociatedWith <https://x.com/wesleyfinck>;
    prov:wasAttributedTo <https://w3id.org/np/RAN3iDVMsE1_visINe_g3tz3oAZtINfq9XyT3kki0XW6U>;
    prov:wasGeneratedBy sub:activity .
}

sub:pubinfo {
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    npx:hasSignatureTarget this:;
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    prov:wasAssociatedWith <https://w3id.org/np/RAN3iDVMsE1_visINe_g3tz3oAZtINfq9XyT3kki0XW6UsigningDelegation> .
  
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    rdfs:label "CoSMO Semantic Post";
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}