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Record W2612995908 · doi:10.5539/apr.v9n3p8

Research on Kinetic Waves and Applications

2017· article· en· W2612995908 on OpenAlexvenueno aff
Luciano Rota

Bibliographic record

VenueApplied Physics Research · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRelativity and Gravitational Theory
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsKinetic energyTheoretical physicsElectromagnetic radiationInertial frame of referenceDuality (order theory)Similarity (geometry)QuasarClassical mechanicsStatistical physicsComputer scienceGalaxyAstrophysicsOpticsArtificial intelligenceMathematics

Abstract

fetched live from OpenAlex

The duality waves/particle and the dynamic of propagation of electromagnetic emanations suggest the existence of a natural kind of waves, which differently from de classic ones, are originating by kinetic thrust and propagating, also though vacuum, by inertial force. The model taken into consideration, to which has been given the name of “kinetic waves” is, like the classic one, a concretely existing natural phenomenon which can also be visually perceived if produced on molecular scale. Results suggest, by giving consistent mathematical proof, that kinetic waves offer many more points of similarity, in dynamic and behavior, than the classic ones, which were taken, since the discovery of electromagnetic waves, as basic model.Applying the obtained results relatively to this model, to the astrophysical red-shift, taking as example the quasar 3C-273 and the recently found, most far galaxy GN-z11, we could find a mathematical sustainable and logic answer about still unsolved problems with regard to the origin and the dynamic of the universe.In the appendix, a suggested and accurately described experiment on base of Radar Astronomy to possibly confirm the validity of this model.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0010.005
Scholarly communication0.0040.009
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.002

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 head0.144
GPT teacher head0.458
Teacher spread0.314 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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