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Record W4281659739 · doi:10.37394/232021.2022.2.13

Direct and Transform Methods to Higher Derivatives of Ki(x)

2022· article· en· W4281659739 on OpenAlex
M. H. Hamdan, S. Jayyousi Dajani

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEQUATIONS · 2022
Typearticle
Languageen
FieldMathematics
TopicMathematical functions and polynomials
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsGeneralizationFunction (biology)MathematicsWork (physics)Applied mathematicsDerivative (finance)Algebra over a fieldPure mathematicsMathematical analysisPhysicsQuantum mechanics

Abstract

fetched live from OpenAlex

Higher derivatives and associated polynomials of the standard Nield-Kuznetsov function of the second kind are investigated in this work. Two approaches are introduced in this work. The first, is the direct method of differentiation and generalization of the nth derivative. This approach is dependent on higher derivatives of the Nield-Kuznetsov function of the first kind. The second is the transform method in which integral transforms associated with the Nield-Kuznetsov function of the second kind are introduce first, and higher derivatives are then obtained. The transform method is independent of the direct higher derivatives of the Nield-Kuznetsov function of the first kind. Both approaches are important in practical and theoretical mathematical analysis, and both give rise to associated Airy polynomials, discussed in this work.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.602
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.119
GPT teacher head0.407
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it