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Cardiac meshes reconstruction from cardiac magnetic resonance image by graph transformation.
limited evidence
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Autonomous Agricultural Robot Framework featuring Temporal Dynamic Graph Neural Network based Semantic Segmentation coupled with Novel Navigation Line Extraction for efficient field operation and intelligent decision making.
limited evidence
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Causal Graph Dynamics and Kan Extensions
uncertain
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Bounded Model Checking of Graph Transformation Systems via SMT Solving
uncertain
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Automating the transformation-based analysis of visual languages
limited evidence
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Reasoning with graph constraints
limited evidence
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Structured feature disentanglement for high-fidelity unified brain MRI synthesis.
limited evidence
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Learning to fuse and reconstruct multi-view graphs for diabetic retinopathy grading.
limited evidence
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Dynamic graph transformation with multi-task learning for enhanced spatio-temporal traffic prediction.
limited evidence
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cutting and Shuffling Control Mixing in Three-Dimensional Discrete Fracture Networks.
limited evidence
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Enhancing Molecular Representations Via Graph Transformation Layers.
limited evidence
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Imbalanced data classification using graph based transformation
uncertain
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- supportingDirectory of Open Access Journals: A matching record was returned by DOAJ.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Artificial intelligence-enabled monitoring of pesticide contamination in agricultural water systems: a comprehensive review of intelligent sensing technologies for water quality surveillance and environmental risk assessment.
limited evidence
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation.
limited evidence
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Graph transformation for enzymatic mechanisms.
limited evidence
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
CSLB4 modulates primary cell wall architecture and resistance to Brevicoryne brassicae in Arabidopsis thaliana.
limited evidence
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Functional Connectivity Prediction With Deep Learning for Graph Transformation.
limited evidence
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
TyG-Biomarker discordance profiling identifies metabolically heterogeneous phenotypes with divergent cardiovascular and diabetes risk: metabolomic characterization from the UK biobank.
limited evidence
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Computing double-pushout graph transformation rules and atom-to-atom maps from KEGG RCLASS data.
limited evidence
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
GT-PNID: A lightweight graph-temporal network integrating GCN and transformer for power network intrusion detection.
limited evidence
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Self-Evolving Agents as Dynamic Graph Transformation: A Survey and New Perspective
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Using Data Mining Techniques to Generate Test Cases from Graph Transformation Systems Specifications
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Solution to Analysis of IT System User Behaviour Using AI/ML Algorithms
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From Context to Aspects: LLM-Based Implicit Aspect Extraction with Paraphrased Input and Knowledge Graph Support
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A Reproducible Synthetic Socio-Digital Network Dataset for Analyzing Digital Gaps in Community-Based Tourism Communities in Rural Ecuador
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Multi-Wind Turbine Wind Speed Prediction Based on Weighted Diffusion Graph Convolution and Gated Attention Network
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Change Alignment-Based Image Transformation for Unsupervised Heterogeneous Change Detection
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Research on Environmental Risk Monitoring and Advance Warning Technologies of Power Transmission and Distribution Projects Construction Phase
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ZX-Diagram T-Count Reduction Based on Proximal Policy Optimization
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Topology-Driven Global Optimization of Directional Overcurrent Relay Settings in ADNs via Graph-Theoretic Coordination-Pair Generation and MINLP.
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🌌 CIVILIZATION SYSTEMS OPERATIONS 33 AT THE LIMIT A Substrate-Agnostic Operating Architecture for Future Civilizations, Human and AI Residents, Unknown Forms of Existence, Long Memory, Daily Evolution, Tri-Coupling, Repair, Exitability, Succession, and Civilization Handoff
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DIGITAL IDENTITY AND STRUCTURAL CONTINUITY OF MORPHING AUTONOMOUS VEHICLES AT THE LIMIT Chinese Title / 中文書名:可變形自主車輛的數位身份與結構連續性極限 28/90 DIGITAL IDENTITY AND STRUCTURAL CONTINUITY OF MORPHING AUTONOMOUS VEHICLES AT THE LIMIT is a 777-page English Research Working Edition in the STARLI YULI Nano Supercar Trilogy, Research Institute XXXVI, Flagship 28 of 90. It asks whether the identity of a morphing modular vehicle can remain independently reconstructable after authorized component replacement without confusing a valid digital registration with preserved load-bearing structure. The three-way research coupling is Digital Identity x Structural Evolution x Traceability. The scope is unoccupied scaled panels, instrumented materials and hardware-in-the-loop studies; no working road vehicle, human safety certification or legal identity status is claimed. The falsifiable research contract compares a frozen physical-and-digital provenance architecture against conventional fleet records, competent expert inspection and signed digital-twin workflows under equal material, sensor, energy, computing, time and labor budgets. Its principal target is fewer unsafe identity counterexamples without worse independent handoff and replay completeness. Sealed challenges include cloned credentials, unlogged load-bearing module replacements, mismatched software epochs, shared sensor drift, missing repair history and physical specimens exchanged after shipping. Every refused or incomplete case remains in the denominator. Authentication, a consistent twin model and traceable physical load are independent requirements. Thirty mechanism-distinct mathematical plates examine Bayesian identity inference, physical genealogy and typed attachment graphs, critical replacement fractions, physical capacity margins, event causal order, cryptographic integrity and its limits, revocation freshness, observable configuration states, calibrated innovation statistics, shared covariance, hidden change detection, dangerous false-clear risk, complete release conjunctions and cross-laboratory identity handoffs. Each plate provides an explicit mathematical construction, variables and units, identifiability assumptions, a concrete blind falsifier and research-chapter links. The source candidate p(theta given z) proportional to p(z given theta)p(theta) is retained, but posterior confidence is never treated as a physical certificate. Eighty-two chapters and 410 individual research studies explore physical object continuity, component genealogy, secure provenance, twin-to-plant reconciliation, adversarial identity testing and accountable succession. Two hundred independent Research Gates address hidden defects, resource-matched alternatives and interfaces whose assumptions can fail. Thirty-three distinct Phoenix Answer Embryos propose separate instruments: birth witnesses, custody artefacts, cryptographic checkpoint monitors, negative-replay capsules, material comparison fixtures and real-stop referees. These are future scientific possibilities rather than built or validated technology. The core scientific boundary is that a copied identifier, authorized edit, or digitally intact log cannot prove retained structural qualification without direct independent evidence. Evidence ancestry preserves the author-supplied Flagship 13 DOI 10.5281/zenodo.23318840 and all-version lineage 10.5281/zenodo.23318839 (metadata not independently validated here). External methodological sources include manufacturing digital-twin taxonomy (10.1016/j.ifacol.2018.08.474), digital-twin product lifecycle digital threads (10.1115/IMECE2022-95182; 10.1016/j.procs.2024.02.104), a Digital Product Passport research review (10.1016/j.procs.2024.09.517), and NIST platform firmware resiliency guidance (10.6028/NIST.SP.800-193). W3C PROV-O and ISO 23247-1 inform provenance interoperability and manufacturing twins. Digital-product-passport regulation is contextual and does not confer general vehicle-specific compliance. No cited source demonstrates the proposed integrated F28 experiment, and no independent expert peer review or real-vehicle validation has been completed. Author: Feng Cheng-en (33) x STARLI / Xingli Series: STARLI Research Institute XXXVI / YULI Nano Supercar Trilogy / Flagship 28 of 90 Edition: Research Working Edition v1.0 / 31 October 2026 Join the STARLI Research Community Explore more than 100 interdisciplinary research themes and follow the evolving STARLI Research Gate community: https://zenodo.org/communities/starli-research-gate/
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STARLI / FLAGSHIP 13 FISSION / VOLUME III F201–F210 | Ten Research Flagships Zenodo Collection Overview · Nonclinical Research Design Working Edition v0.2 · Author 33 This ten-volume research-design collection begins STARLI Volume III (F201–F300). Its subject is how microenvironmental gradients, thermal perturbations, phase-transition evidence, physical dissipation and biosensing can be formulated as bounded, falsifiable scientific studies. The collection is prospective: it does not report experimental proof, autonomous clinical systems or established advantages of quantum-labeled sensors. Ten Flagship Studies F201 | Biomolecular Gradient Sensing And Sampling At The Limit Proposed study: Gradient reconstruction and sample fidelity. Primary evidence: spatial concentration-gradient RMSE and sample analyte recovery. Critical rival: ordinary diffusion after delayed mixing. F202 | Nanorobotic Local Thermal-Perturbation Compensation At The Limit Proposed study: Heat compensation without concealed heat. Primary evidence: local temperature error, time-to-recovery and independently metered heat. Critical rival: passive heat spreading explains compensation. F203 | Microscale Nonequilibrium Phase Transition Identification At The Limit Proposed study: Phase-transition evidence versus false hysteresis. Primary evidence: order-parameter contrast and finite-size stability. Critical rival: instrument response drifts between branches. F204 | Biointerface Energy Dissipation And Functional Degradation At The Limit Proposed study: Dissipation and functional aging decoupling. Primary evidence: dissipated cycle energy and retained physical function. Critical rival: viscoelastic memory rather than damage. F205 | Nano-Quantum Sensing Thermodynamic Efficiency At The Limit Proposed study: Information per Joule under complete accounting. Primary evidence: held-out target information per total joule. Critical rival: more photons rather than new sensing mechanism. F206 | Microscale Chemical-Reaction Network Identification At The Limit Proposed study: Chemical network structural identifiability. Primary evidence: verified reaction edges, rate constants and mass closure. Critical rival: transport alone explains apparent product. F207 | Biological Microenvironment Nonequilibrium State Estimation At The Limit Proposed study: Nonstationary state inference with honest abstention. Primary evidence: state-estimate interval coverage under drift. Critical rival: calibration step looks like state change. F208 | Nanorobotic Thermodynamics Reliability At The Limit Proposed study: Thermal reliability as lifetime evidence. Primary evidence: unselected failure-time distribution with thermal dose. Critical rival: fabrication batch explains lifetime. F209 | Nonequilibrium Biosensing Cross-Scale Validation At The Limit Proposed study: Cross-scale validation beyond interpolation. Primary evidence: third-scale error and independently conserved flux. Critical rival: bulk kinetics misidentified as interface. F210 | Nano-Quantum Nonequilibrium Living Microenvironment Research Platform At The Limit Proposed study: Platform-wide reproducible release decisions. Primary evidence: third-party reconstruction and refusal/release concordance. Critical rival: human correction hides identity faults. Research Design, Evidence and Scope Together the ten books provide 300 mathematical research plates, 820 chapters, 4,100 distinct section placements, 2,000 individually numbered Research Gates with six annotated evidence requirements, and 330 prospective Phoenix objects. Each volume is 777 pages. Shared layouts do not imply that every hypothesis is causally independent; all experimental methods and physical models require independent review. Research boundaries: synthetic standards, closed chips and authorized ex-vivo specimens only. Primary outcomes, counterfactual comparators, missing-data handling, instrument back-action, calibration uncertainty, failure records, safety stops and independent reconstruction are included as proposed tests. The models and artifacts are not validated results and no clinical efficacy is claimed. Evidence & Community Links Udo Seifert (2012) — Stochastic thermodynamics, fluctuation theorems and molecular machines https://doi.org/10.1088/0034-4885/75/12/126001 H. C. Berg and E. M. Purcell (1977) — Physics of chemoreception https://doi.org/10.1016/S0006-3495(77)85544-6 C. Jarzynski (1997) — Nonequilibrium Equality for Free Energy Differences https://doi.org/10.1103/PhysRevLett.78.2690 G. E. Crooks (1999) — Entropy production fluctuation theorem and the nonequilibrium work relation for free energy differences https://doi.org/10.1103/PhysRevE.60.2721 A. C. Barato and U. Seifert (2015) — Thermodynamic Uncertainty Relation for Biomolecular Processes https://doi.org/10.1103/PhysRevLett.114.158101 STARLI Research Community: https://zenodo.org/communities/starli-research-gate/ The DOI sources identify prior scientific methods and comparisons; none establishes the performance of the ten candidate designs. The Flagship 13 mother work is a methodological ancestor, not experimental verification. We do not need to know which door future generations will choose to open. We only hope that when they open it, they will find a little light to guide their way.
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RESEARCH COLLECTION / FLAGSHIPS 61–70 OF 90 Yin-Yang Dynamics & Five-Phase Intelligent Acupuncture at the Limit STARLI Acupuncture Trilogy | F61–F70 of 90 | Author 33 | Research Design Working Edition v1.0 This ten-volume research-design collection develops testable questions inspired by yin-yang dynamics and five-phase philosophy, spanning bounded feedback models, autonomic coupling, physiological transitions, predictive digital twins, circadian timing, multisystem networks, neuroendocrine-immune associations, explainable AI, recovery resilience and simulated multiobjective optimization. Traditional terms serve as conceptual labels, not evidence of unmeasured energies or clinical benefits. Two five-theme research units assemble ten English 777-page working editions: 300 conditional mathematical model plates, 820 chapter openings, 4,100 separately paginated investigations, 2,000 Research Gates and 330 Phoenix Answer Embryos. Designs specify measurable targets, orthogonal checks, concealed tests, rival explanations and stop decisions. These are proposed research protocols, not outcomes of clinical trials or validated therapies. Research Unit I · F61–F65 / Yin-Yang Dynamics F61 YIN-YANG DYNAMIC BALANCE AND INTELLIGENT ACUPUNCTURE CONTROL AT THE LIMIT — Models multichannel return to a prespecified physiological reference band in a hardware-in-the-loop simulator. Blinded reference reversals and intervention-order swaps challenge apparent gains against passive relaxation, PID control and linear model predictive control. No treatment decisions are made. F62 YIN-YANG INTERDEPENDENCE AND BIDIRECTIONAL AUTONOMIC REGULATION AT THE LIMIT — Tests lagged covariance between independently supported autonomic proxy channels. Masked breathing and posture swaps, pressure witnesses and matched univariate forecasts probe common-input artifacts; the model must refuse claims when sympathetic and parasympathetic effects cannot be identified separately. F63 YIN-YANG TRANSFORMATION AND HUMAN PHYSIOLOGICAL STATE TRANSITIONS AT THE LIMIT — Predeclares stress–rest–recovery state labels and scores held-out transition predictions from permitted non-invasive archives. Concealed task/rest order and frozen hidden Markov and time-only comparators test whether transitions survive label leakage and ordinary recovery trends. F64 YIN-YANG IMBALANCE CONCEPTS AND PERSONALIZED ACUPUNCTURE DIGITAL TWINS AT THE LIMIT — Asks whether blinded traditional-pattern labels add out-of-site AUC or log-likelihood beyond age, symptoms and physiology. Rater exchanges, locked pipelines and random-label controls interrogate observer leakage; retrospective twin forecasts do not authorize autonomous acupuncture. F65 YIN-YANG TEMPORAL PHILOSOPHY AND CIRCADIAN ACUPUNCTURE CONTROL AT THE LIMIT — Tests circadian-phase forecasts against matched cosinor and sleep–light history models. Blinded shifts of archived light exposure and sleep timing probe whether apparent traditional timing information persists after independent phase calibration; the work remains non-interventional. SECOND RESEARCH UNIT / FIVE-PHASE NETWORKS & SCIENTIFIC EVIDENCE Research Unit II · F66–F70 / Five-Phase Models F66 FIVE-PHASE GENERATION-RESTRAINT PHILOSOPHY AND HUMAN MULTISYSTEM NETWORK MODELING AT THE LIMIT — Compares a locked five-node physiological graph with sparse and autoregressive network baselines. Concealed sensor-to-phase permutations probe decorative labeling; held-out log scores and edge stability must improve before assigning predictive value to the proposed topology. F67 FIVE-PHASE PHILOSOPHY AND NEUROENDOCRINE-IMMUNE NETWORKS AT THE LIMIT — Examines delayed hormone–immune associations in permitted archived assays. Resampling frequency challenges and diurnal-adjusted regressions test whether apparent network delays are caused by circadian trends or shared sampling clocks; impossible biological lags trigger rejection. F68 FIVE-PHASE PATTERN DIFFERENTIATION AND EXPLAINABLE AI IN MEDICINE AT THE LIMIT — Tests whether blinded pattern categories add held-out discrimination and calibration beyond conventional clinical covariates. Hidden institution/annotator shifts, permuted labels and external validation confront leakage, annotation bias and unreliable diagnostic confidence; no automated diagnosis is claimed. F69 FIVE-PHASE CYCLIC PHILOSOPHY AND PHYSIOLOGICAL NETWORK RESILIENCE AT THE LIMIT — Measures normalized residual recovery after ethically bounded observations or simulated network disruptions. Concealed removal of a simulated node and passive-return or linear-dynamics controls test whether cyclical mapping adds anything beyond conventional feedback; protective thresholds remain absolute. F70 FIVE-PHASE PHILOSOPHY AND MULTIOBJECTIVE INTELLIGENT ACUPUNCTURE OPTIMIZATION AT THE LIMIT — Examines stability of a simulated Pareto front for benefit, burden and uncertainty within a hard safety set. Sealed comfort/uncertainty priority swaps expose arbitrary weight selection; the design does not perform or recommend human acupuncture interventions. Physical Scope, Falsifiability & Evidence Status The studies are restricted to consented or authorized de-identified non-invasive recordings, archived assays, synthetic data, offline analyses and simulation or hardware-in-the-loop testing. There are no delivered acupuncture treatments, clinical trials or established efficacy findings. Conventional matched-budget baselines, fixed labels, independent physical witnesses and explicit stopping criteria are required before any candidate advantage can be claimed. The stated methodological ancestry is the STARLI 90 Flagship Master v1.3, with source-supplied DOI references 10.5281/zenodo.23480803, 10.5281/zenodo.23486020 and 10.5281/zenodo.23318840. These records are research lineage, not independent validation of the proposed models. DOI metadata, formula-domain fit and scientific interpretations require separate external checking. Research Gates & Quality Assurance Boundary The supplied batch QA reports ten 777-page PDFs and no exact duplicate Gate questions or complete six-part annotations. Lexical nearest-neighbor analysis reported a maximum score of 0.8598, with 42 matches at or above 0.80 and none at or above 0.90. Automated checks do not establish independent mechanisms, empirical novelty or clinical safety; specialized review and prospective testing remain outstanding. Join the STARLI Research Community Explore more than 100 interdisciplinary research themes and follow the evolving STARLI Research Gate community: https://zenodo.org/communities/starli-research-gate/ We do not need to know which door future generations will choose to open. We only hope that when they open it, they will find a little light to guide their way. 🌈🚪✨
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RESEARCH COLLECTION / FLAGSHIPS 261–270 OF 300 Scientific Evidence, Reproducibility & Successor Trust at the Limit Flagship 13 Fission | Volume III | Author 33 | STARLI Research Design Working Edition v1.2 This ten-volume prospective collection challenges selection bias, autonomous experiment auditability, honest negative-result disclosure, bounded functional release, long-horizon data readability, cross-site quantum biosensing, degradation forecasting, impartial adjudication, retirement and successor reconstruction, and claim-to-evidence engineering. A candidate research design is not an observed new law, clinical result or experimentally established advantage. Ten English 777-page volumes collectively contain 300 mathematics plates, 820 chapter openings, 4,100 paginated studies, 2,000 Research Gates and 330 Phoenix Answer Embryos. Each Gate uses three independent future-facing essays — Origin, Extreme Extrapolation, Future Research Plan — which propose tests rather than report their success. Textual distinctness does not establish causal novelty. RESEARCH UNIT I · F261–F265 F261 NANOROBOTIC SAMPLE SELECTION BIAS AT THE LIMIT — Main endpoint: true-positive detection fraction on an independently enrolled cohort. Scientific contrast: survivor-biased microrobot recovery versus higher quality in selected starting specimens. Independent witness: external coded specimen census. Stop: unregistered specimen exclusion or identity-loss event. F262 MICROSCALE AUTONOMOUS EXPERIMENT AUDITABILITY AT THE LIMIT — Main endpoint: fraction of blinded runs with complete replay and equal safety decision. Scientific contrast: actuation-command discrepancy versus software event acknowledgement without motion. Independent witness: laser displacement encoder. Stop: physical actuation cannot be reconciled with signed raw evidence. F263 QUANTUM SENSOR NEGATIVE-RESULT REPORTING AT THE LIMIT — Main endpoint: fraction of registered null, failed and indeterminate measurements publicly traceable. Scientific contrast: null-run omission versus different detector gain for null samples. Independent witness: escrowed randomization list. Stop: unreported null cases or materially incomplete raw data. F264 NANOROBOTIC FUNCTIONAL RELEASE CONTRACT AT THE LIMIT — Main endpoint: false release probability under hidden unsafe specimens. Scientific contrast: rare leakage into sample versus sensor false negatives. Independent witness: coded nanoparticle mass counter. Stop: a hidden physical hazard is classified safe. F265 MICROSCALE RESEARCH DATA INTERGENERATIONAL READABILITY AT THE LIMIT — Main endpoint: successful clean-room rebuild fraction after toolchain change. Scientific contrast: obsolete raw-binary decoding versus floating-point rounding drift. Independent witness: independent raw-packet oracle. Stop: reconstruction requires undocumented secrets or unavailable instruments. RESEARCH UNIT II / RECONSTRUCTION, TRANSFER AND TRUST F266 QUANTUM BIOSENSING EXTERNAL SENSING REPRODUCIBILITY AT THE LIMIT — Main endpoint: held-out external agreement within declared physical uncertainty. Scientific contrast: travelling standard drift versus site temperature changes real resonance. Independent witness: independent atomic frequency reference. Stop: correlated reference artefact masquerades as agreement. F267 NANOROBOTIC LONG-HORIZON DEGRADATION PREDICTION AT THE LIMIT — Main endpoint: coverage of future failure intervals on unselected units. Scientific contrast: surface wear accumulation versus corrosion dominates wear. Independent witness: independent gravimetric loss assay. Stop: future wear enters an unregistered failure regime. F268 MICROSCALE EXPERIMENT INDEPENDENT THIRD-PARTY ADJUDICATION AT THE LIMIT — Main endpoint: fraction of blinded case verdicts supported by independent raw evidence. Scientific contrast: conflicted adjudicator incentives versus genuine physical ambiguity. Independent witness: independently coded physical truth packet. Stop: conflict of interest or missing physical witness changes release verdict. F269 NANO-QUANTUM RESEARCH SYSTEM RETIREMENT AND RECONSTRUCTION AT THE LIMIT — Main endpoint: fraction of retired modules safely decommissioned and independently replicated. Scientific contrast: residual stored actuation energy versus measurement electronics ghost charge. Independent witness: external impedance and coulomb discharge meter. Stop: residual actuation or missing calibration lineage after retirement. F270 NANO-QUANTUM TRUSTWORTHY SCIENTIFIC EVIDENCE ENGINEERING AT THE LIMIT — Main endpoint: proportion of causal claims reproducible from raw events and physical certificates. Scientific contrast: claim-to-raw-event provenance versus data compression removes dispensable metadata. Independent witness: signed acquisition event graph. Stop: an unsupported causal assertion bypasses a hard physical stop. Physical Scope, Evidence Status & Refutation All designs are nonclinical and restricted to traceable materials, closed modules, synthetic references, authorized ex-vivo materials and laboratory phantoms. Each proposes a matched conventional comparator, concealed physical or evidentiary challenge, independent witness and noncompensable hard stop. Published metrology, candidate estimators and new untested claims are separately described; specialist physical and DOI-by-claim review is pending. Research Gates and Audit Limits The triple-pass workflow freezes each research identity, explores rival causal mechanisms, then checks the entire ten-volume set for repeated passages, shared experiment structures and weak counterfactuals. Mechanical counts and lexical dissimilarity are not a substitute for scientific review. Accepted failures, rejected candidates and unresolved mechanisms remain open research questions. Mother Lineage & STARLI Research Community Editorial and method ancestry: Flagship 13, DOI 10.5281/zenodo.23318840; all versions DOI 10.5281/zenodo.23318839. These records do not verify the candidate findings. Explore more than 100 interdisciplinary themes: https://zenodo.org/communities/starli-research-gate/ We do not need to know which door future generations will choose to open. We only hope that when they open it, they will find a little light to guide their way. 🌈🚪✨
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Deep-learning-driven tumor microenvironment profiling improves immunotherapy response prediction.
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Hoare-like verification of graph transformation
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Structured Operational Semantics for Graph Rewriting
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Application of Graph Embedding to solve Graph Matching Problems
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Compositional Analysis of Probabilistic Timed Graph Transformation Systems
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COMPUTING CERTAIN TOPOLOGICAL INDICES OF SOME DOMINATING GRAPH OPERATIONS OF KRAGUJEVAC TREES
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Instantiation Calculus
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Methodological Background for Spectral Analysis, Illustrated by Studying the Number of Ukrainian Population
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ON THE GENERALIZED xyz-LINE CUT TRANSFORMATION GRAPHS
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ON THE TRANSFORMATION GRAPH G+
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