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Decoding self-motion: insights into visual-vestibular causal inference
uncertain
Show all credibility signals
- not scoredDOI registered: Not checked or no result supplied; no credibility inference made.
- not scoredDOI resolves: Not checked or no result supplied; no credibility inference made.
- 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: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch expression of concern: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch correction: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch reinstatement: Not checked or no result supplied; no credibility inference made.
- 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.
Estimating excess mortality during heat waves using a causal inference framework and non-randomized time series
uncertain
Show all credibility signals
- not scoredDOI registered: Not checked or no result supplied; no credibility inference made.
- not scoredDOI resolves: Not checked or no result supplied; no credibility inference made.
- 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: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch expression of concern: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch correction: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch reinstatement: Not checked or no result supplied; no credibility inference made.
- 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: 4 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Quantifying the Unseen Dengue Burden: A Municipality-Level Ascertainment Surface for Pará State, Brazilian Amazon.
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.
Pesticides and Hypospadias in Southern Brazil: An Ecological Study.
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.
How AI Can Advance Mathematical Biology: Opportunities, Challenges, and Future Directions.
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.
Bayesian Causal Methods for Environmental Accountability Studies with Heterogeneous Effects.
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.
Analyzing multisensory integration: Do's and don'ts.
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 causal modeling of evoked responses in EEG and MEG.
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.
Interpretable damage state-dependent fragility models for multi-hazard interactions based on Bayesian modeling and causal inference
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.
Evaluating the Bayesian causal inference model of intentional binding through computational modeling
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.
An AI-powered Bayesian Generative Modeling Approach for Causal Inference in Observational Studies.
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.
Causal inference to scope environmental impact assessment of renewable energy projects and test competing mental models of decarbonization
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: 4 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Bayesian methods in nephrology: applications in adaptive trials, dynamic risk prediction, pharmacokinetics, and causal inference.
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 Causal Modeling in Probabilistic Programming 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.
Bayesian causal inference unifies perceptual and neuronal processing of center-surround motion in area MT.
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.
Process Monitoring Based on Multivariate Causality Analysis and Probability Inference
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: 4 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Tree and neighborhood damage have distinct effects on delayed mortality after a severe hurricane.
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.
Development and Application of a Rep-Targeted SYBR Green I qPCR Assay for Porcine Circovirus 4: Etiological Investigation in China (2022-2025) and Molecular Evolutionary Analysis.
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.
Causal Bayesian network learning: application to the causal analysis of masticatory function and coronary heart disease in older adults
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.
A multi-omics Mendelian randomization framework identifies PM2.5-annotated candidate regulatory genes and methylation-linked pathways in diabetic nephropathy.
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.
BAYESIAN SELECTION AND REFITTING OF REFERENCE MUTATIONAL SIGNATURES IN CANCER GENOMICS.
limited evidence
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
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Assessing Unmeasured Confounding in Observational Research via Bayesian Semiparametric Modeling.
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Bayesian Inference of Causal Effects for an Ordinal Outcome in Randomized Trials
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Escalating Burden of Osteoarthritis Among Asian Women: Regional Trends, BMI-Attributable Disability, and Projections to 2050.
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Causal inference with Bayesian regression modeling: A tutorial
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Optimizing remote mechanical thrombectomy training using causal machine learning: a multicenter study.
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Translational assessment of nursing care models for oncology patients with cardiovascular risk factors.
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Active SAmpling Protocol (ASAP) to Optimize Individual Neurocognitive Hypothesis Testing: A BCI-Inspired Dynamic Experimental Design
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Characterizing Network Search Algorithms Developed for Dynamic Causal Modeling
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Discovery of Causal Paths in Cardiorespiratory Parameters: A Time-Independent Approach in Elite Athletes
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Identification of Progressive Islet Biomarkers for Type 2 Diabetes by Integrated Transcriptomics and Mendelian Randomization: Alterations Spanning the Normal Glucose Tolerance–Impaired Glucose Tolerance–Type 2 Diabetes Continuum
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Bayesian Nonparametric Modeling of Categorical Data for Information Fusion and Causal Inference
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ASEPTIC MANUFACTURING AND CONTAMINATION CONTROL OF BIOMEDICAL MICRO/NANOROBOTS AT THE LIMIT Aseptic Process x Contamination Monitoring x Functional Integrity This 770-page Research Working Edition develops a falsification-oriented, nonclinical architecture for reducing and localizing microbial, endotoxin, particle and cross-batch contamination while preserving biomedical micro/nanorobot material and task function. It distinguishes low observed counts from qualified control and treats burden, sampling recovery, assay interference, transport, source localization, uncertainty and independent function as separate scientific objects. The monograph contains 30 mathematical research plates, 82 chapters, 410 single-page investigations, 200 differentiated Research Gates and 33 genuinely distinguishable Phoenix Answer Embryos. Its minimum demonstrator blind-injects three contamination routes into a closed microfluidic line and tests whether an independent team detects and localizes them before release. Unqualified recovery, unlocalized contamination, a nonclosing material balance or function loss is a hard veto. This is a prospective scientific architecture, not an executed clinical or regulatory study. It does not claim in-use sterility, in-body safety, therapeutic efficacy, regulatory approval or clinical benefit. DOI-linked publications support component methods and boundaries; they do not validate the integrated F26 system. Technical profile: 770 pages; approximately 161,936 English words; 30 formula families; 82 chapters; 410 single-page studies; 200 Research Gates; 33 Phoenix Answer Embryos; 22 DOI records; navigable bookmarks; sixfold QA. Author: Feng Cheng-en (33) x Starli STARLI Research Institute XXXIV / Flagship 26 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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- supportingOpen access status: Normalized open-access status: open.
- supportingPublication license: A publication license was supplied: https://creativecommons.org/licenses/by/4.0/legalcode. Presence improves reuse transparency, not research validity.
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Flagship 57/90 Independently cross-checked potential map and cellular function is the preregistered question, not a demonstrated effect. HUMAN BIOELECTRICITY AND REGENERATIVE MICROENVIRONMENT REGULATION AT THE LIMIT This 777-page Research Design Working Edition in the STARLI Acupuncture Trilogy, Family II, develops the research question of electrical field gradients and separately observed cell-state function in a closed chip. Its core three-coupling is Bioelectric fields x cellular microenvironment x regenerative engineering. The scope is in-vitro chips and authorized ex-vivo material only; no claim of human regeneration. Ancient and contemporary philosophical terms are treated as research motivation and operational labels, not independent proof of physical forces or of treatment benefit. The candidate proposal asks whether independently cross-checked potential map and cellular function can be measured with transparent source identities and enough precision to distinguish the proposed account from culture-medium changes and cell proliferation rather than electric field organization. A prospectively frozen evaluation would test hidden electrode geometry and culture medium conductivity shifts; stronger conventional comparisons include passive chip, conductivity-matched sham field and static conditioned medium. Stop when cell injury or delayed functional decline after controlled exposure, when calibration fails, or when a study lacks appropriate permission. Aborted and negative outcomes remain part of the full eligibility denominator. Thirty conditional mathematical research plates examine distinct modeling and verification roles with explicit units, assumptions and blind counterexamples. Eighty-two chapters contain 410 separately paginated investigations. Two hundred Research Gates frame distinct pairings of a target readout, orthogonal check, concealed challenge, rival account and refusal decision. Thirty-three Phoenix Answer Embryos propose future instruments, evidence contracts and cross-laboratory research tools. This content is prospective research design and contains no completed experimental outcomes. The source study contract is the STARLI 90 Flagship Master v1.3. Methodological ancestry supplied in that document includes DOIs 10.5281/zenodo.23480803, 10.5281/zenodo.23486020 and 10.5281/zenodo.23318840. These methods do not validate the new candidate; bibliography and individual formula suitability still require independent external checking. Full English PDF. Automated structure and lexical difference checks cannot establish scientific originality, causal validity or clinical efficacy. Author: Feng Cheng-en (33) x STARLI / Xingli Series: STARLI Acupuncture Trilogy / Flagship 57 of 90 Edition: Research Design Working Edition v1.0 / 2 November 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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- supportingOpen access status: Normalized open-access status: open.
- supportingPublication license: A publication license was supplied: https://creativecommons.org/licenses/by/4.0/legalcode. Presence improves reuse transparency, not research validity.
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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 81–90 OF 90 Classical Qi, Mind-Body Inquiry & Trustworthy Biomedical Evidence at the Limit STARLI Acupuncture Trilogy | F81–F90 of 90 | Author 33 | Research Design Working Edition v1.0 This ten-volume research-design collection tests classical qi-blood descriptions against microcirculatory measurements, mind-body attention effects, qigong breathing and bioelectric artifacts, volitional neurofeedback, and externally asserted qi phenomena. Its second research unit explores provenance-aware acupuncture knowledge graphs, acupoint nano-interfaces, causal pattern models, matched-resource quantum sensing and cross-generational evidence platforms. Cultural concepts are hypotheses and labels, not proven energies or therapies. Two five-theme research units contain ten English 777-page working editions: 300 conditional mathematical research plates, 820 chapter openings, 4,100 separately paginated investigations, 2,000 Research Gates and 330 Phoenix Answer Embryos. Designs call for blinded perturbations, calibrated physical witnesses, optimized conventional baselines and explicit stop policies. This collection reports candidate research protocols, not completed results or demonstrated clinical effects. Research Unit I · F81–F85 / Classical Claims & Blinded Physiology F81 QI-BLOOD PHILOSOPHY AND HUMAN MICROCIRCULATORY PHYSIOLOGY AT THE LIMIT — Tests whether preregistered qi-blood labels improve held-out microvascular perfusion prediction beyond temperature, anatomy, pulse and motion. Blinded non-needle cues and matched warm stimuli challenge ordinary thermal and cardiovascular explanations. Tissue stress, unblinded-only gains or calibration failure are hard stops. F82 MIND-BODY UNITY PHILOSOPHY AND PSYCHOPHYSIOLOGICAL REGULATION AT THE LIMIT — Separates randomized attention and feedback effects from autonomic changes caused by posture or covert muscle activation. Crossed blinded feedback, hidden replay and synchronized ECG, EMG and posture controls challenge interpretation of subjective sensation as a distinct mechanism. Unidentifiable effects or consent failure halt claims. F83 QIGONG BREATHING AND HUMAN BIOELECTRIC REGULATION AT THE LIMIT — Compares qigong-labeled breathing with ordinary paced breathing under matched respiration, electrode geometry and motion. Masked rate matching and exchanged session labels test whether sweat activity, respiratory rhythms or contact impedance account for surface EDA/ECG differences. Uncontrolled artifact prohibits special-energy inference. F84 VOLITION, MIND-BODY UNITY AND INTELLIGENT NEUROFEEDBACK AT THE LIMIT — Challenges apparent intent-related information using live versus timestamp-matched replayed neurofeedback, yoked sham feedback and identical EEG bandwidth. Cross-validated information gains must survive face-EMG, breathing and expectancy controls. Label leakage, unsafe feedback or ignored human stop authority veto interpretation. F85 EXTERNAL QIGONG CLAIMS, CLASSICAL QI THEORY AND SCIENTIFIC FALSIFIABILITY AT THE LIMIT — Subjects alleged remote effects to sealed target schedules, signal isolation, independent randomization and double-blind instrument readings. Shams, shielded blanks and equal operator schedules confront electromagnetic, acoustic, thermal and experimenter leakage. Nonblind-only effects or selective exclusions trigger refusal; remote qi remains unestablished. SECOND RESEARCH UNIT / SOURCE FIDELITY & SUCCESSOR SCIENCE Research Unit II · F86–F90 / Knowledge, Causality & Continuity F86 CLASSICAL ACUPUNCTURE KNOWLEDGE GRAPHS AND TRUSTWORTHY MEDICAL AI AT THE LIMIT — Measures source-attribution error when classical manuscripts are converted into provenance-typed biomedical knowledge graphs. Blinded conflicting translations, swapped citations and out-of-era terms test edition drift and label leakage against a source-linked retrieval baseline. Unsupported upgrades from historical narration to medical fact must be rejected. F87 INTELLIGENT NANO-ACUPUNCTURE AND CLASSICAL ACUPOINT KNOWLEDGE INTEGRATION AT THE LIMIT — Compares sensing at predeclared classical points against anatomy-matched same-layer control locations. Concealed point/nonpoint coordinate substitutions confront contact geometry, skin thickness and mismatched historical annotations; independent anatomical registration is the comparator. No stable point-specific improvement or sensor integrity stops the claim. F88 AI CLOSED-LOOP ACUPUNCTURE AND CAUSAL VALIDATION OF CLASSICAL PATTERN MODELS AT THE LIMIT — Uses approved retrospective randomized data to ask whether classical pattern labels add transportable causal response information beyond symptom severity. Blinded rater disagreements and sham/reference contrasts challenge expectancy and confounding; common-support and sensitivity checks are mandatory. There is no authorized autonomous acupuncture intervention. F89 QUANTUM SENSING, NANO-ACUPUNCTURE AND CLASSICAL LIFE PHILOSOPHY AT THE LIMIT — Tests matched-resource readout precision using NV-diamond sensing and an optimized conventional instrument with identical distance, bandwidth, integration time and calibration standards. Blinded sensor swaps challenge photon-dose and geometry advantages. No reproducible independent precision gain, or claims of novel meridian energy, warrant refusal. F90 CLASSICAL ACUPUNCTURE PHILOSOPHY AND FUTURE INTELLIGENT BIOMEDICAL CIVILIZATION PLATFORMS AT THE LIMIT — Tests whether a successor laboratory can replay frozen accept/reject decisions after a hardware or software generation change. Concealed vendor-metadata swaps confront semantic lookalikes, circular citations and operator rescue. Human-readable provenance ledgers and FAIR archiving are baselines; lost source identity or human veto is a hard stop. Physical Scope, Falsifiability & Evidence Status The work is restricted to consented non-invasive observation, inert phantoms, passive instruments, approved historical datasets, document-based source analysis and offline simulation. No anatomical qi conduit, external qi transfer, mind-to-matter coupling, quantum physiological force or treatment efficacy is established. Sensor calibration, independent ground truth, blinded denominators, source provenance and human stop authority remain essential. Research lineage is the STARLI 90 Flagship Master v1.3, with source-provided methodological DOIs 10.5281/zenodo.23480803, 10.5281/zenodo.23486020 and 10.5281/zenodo.23318840. These mark editorial ancestry, not experimental confirmation. External bibliographic metadata checks are limited; individual formula-to-endpoint fit and relevance require independent specialist review, particularly the provisional doubly robust expression in F88. Research Gates & Quality Assurance Boundary The source batch QA reports ten 777-page PDFs, zero exact duplicate Gate questions and zero exact duplicate full six-part annotations. Cross-book lexical screening records a maximum nearest-neighbor similarity of 0.8832, with 93 cases at or above 0.80 and none at or above 0.90. Such automated checks do not establish independent causal mechanisms, scientific novelty, clinical safety or experimental validation. 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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STARLI / YULI — F145/200 — Family 15: Regenerative BCI Co-Design 再生腦機介面微環境調控極限 Microenvironment Control In Regenerative BCI At The Limit Research position. This prospective, nonclinical Research Working Edition investigates Microenvironment oxygen concentration deviation [mg/L] in a hydrogel-electrode coculture testbed with a calibrated, independently acquired measurement reference. It proposes a scaffold–electrode–tissue causal model; it does not report completed experiments, animal studies, clinical efficacy, or validated regeneration. Testable claim. With acquisition time, authorized specimens, electrode exposure and reference assays matched, a preregistered joint-interface candidate is compared against an independently tuned conventional scaffold with a separate nonregenerative electrode. The masked challenge is concealed restriction of microfluidic flow; the chief rival is oxygen probe positioning causes apparent gradients. The primary candidate relation is Delta_C_O2 = C_target - C_measured. Interpretation requires Target and measured concentrations must share sampling time, spatial point, temperature and dissolved-oxygen calibration. Research architecture. The volume contains 30 mathematical and engineering diagnostic plates, 82 chapters with 410 one-page investigations, 200 Research Gates with three scientific letters per gate, and 33 Phoenix Answer Embryos. Methods include impedance and material-interface metrology, orthogonal biological witnesses, preregistered blinded tests, uncertainty propagation, negative-result retention, and independent reconstruction. Limitations and evidence. Escalating inflammation, premature material disintegration, loss of independent electrical reference, or revoked sample authorization are hard stops. Candidate mechanisms and formulas are not new confirmed physical laws. Foundational source identity was checked for Yuk, H., Wu, J., Zhao, X. (Nature Reviews Materials 7, 935-952 (2022)), DOI 10.1038/s41578-022-00483-4; Bierman-Duquette, R. D. et al. (Advanced Healthcare Materials 11(7), e2101577 (2022)), DOI 10.1002/adhm.202101577; these publications do not validate the new integrated hypothesis. Deep semantic distinctness across chapters and Gates requires specialist review. Author: 33 / STARLI–YULI Research Institute 36. Version v1.0; 2026-11-06. 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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Adapting the Prerequisite Structure to the Learner in Student Modeling
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Mediation Analysis in Structural Equation Modeling (Sem): Theoretical Foundations, Statistical Methods and Practical Implications
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Bayesian Network Modeling Applied on Railway Level Crossing Safety
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Bayesian Networks with Examples in R.
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Damage State-Dependent Fragility Models for Multi-Hazard Interactions based on Bayesian Modeling with Interpretable Effects Guided by a Causal Directed Acyclic Graph
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Modeling Inventory Policies in Multi Echelon Supply Chain by Beysian Networks
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Towards an Integral Approach for Modeling Causality
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