Dissertation/Thesis

RaRaMa - The Gap 'Cancer & Coherence'

Bibliographic Details
Title: RaRaMa - The Gap 'Cancer & Coherence'
Authors: Hansley, Dustin
Publisher Information: Zenodo
Publication Year: 2025
Collection: Zenodo
Subject Terms: cancer targeting, frequency medicine, quantum biophysics, Biomedical Engineering, Biomedical Engineering/classification, Biomedical Engineering/education, Biomedical Engineering/instrumentation, Biomedical Engineering/ethics, Biomedical Engineering/statistics & numerical data, Cancer, Cervical cancer, Liver cancer, Prostate cancer, Pancreatic cancer, Lung cancer, Skin cancer, Cancer risk, Breast cancer, Cancer Survivors, Cancer Pain/immunology, Cancer Pain/pathology, Cancer Pain/rehabilitation
Description: Comprehensive RaRaMa Frequency Cancer Targeting System with Mathematical Foundations and Validations We present a comprehensive theoretical framework for precision cancer targeting using the RaRaMa frequency equation f* = c_eff/(4d_molecular), integrating quantum mechanics, wave physics, and biological resonance phenomena. The mathematical foundation spans from the fundamental vibrational frequency equation ν = (1/2π)√(k/μ) through the Schrödinger equation for molecular vibrations to complex biological systems described by the Peyrard-Bishop Hamiltonian for DNA breathing modes and Elastic Network Models for protein dynamics. This framework transforms cancer treatment from generic chemotherapy to personalized dietary interventions targeting specific molecular frequencies across 90+ therapeutic food compounds and 53 distinct cancer types. Practical Implementation System: The framework categorizes therapeutic food compounds into four frequency ranges optimized for different biological targets: Ultra-High Frequency compounds (72.1-64.7 THz) including isothiocyanates, caffeine, and sulforaphane for precision DNA targeting; High Frequency compounds (63.2-52.1 THz) including quercetin, curcumin, and piperine for enzyme active sites; Medium Frequency compounds (46.5-29.6 THz) including berberine, EGCG, and lycopene for membrane proteins; and Low Frequency compounds (26.2-10.2 THz) including beta-glucan and pectin for large molecular complexes. Personalized Cancer Protocols: Complete treatment protocols were developed for 53 cancer types across 12 major categories including brain cancers (glioblastoma, astrocytoma), lung cancers (adenocarcinoma, squamous cell), breast cancers (HER2+, triple-negative), blood cancers (AML, CLL), and others. Each protocol specifies exact compound combinations, timing sequences, and bioavailability enhancement strategies tailored to cancer-specific molecular targets. Precision Frequency Matching: Perfect therapeutic matches within 5% tolerance include Berberine targeting KRAS G12 ...
Document Type: Thesis
Language: unknown
Relation: https://zenodo.org/records/17118085; oai:zenodo.org:17118085; https://doi.org/10.5281/zenodo.17118085
DOI: 10.5281/zenodo.17118085
Availability: https://doi.org/10.5281/zenodo.17118085
https://zenodo.org/records/17118085
Rights: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number: edsbas.1B401DA7
Database: BASE
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  – Url: https://doi.org/10.5281/zenodo.17118085#
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PubType: Dissertation/Thesis
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IllustrationInfo
Items – Name: Title
  Label: Title
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  Data: RaRaMa - The Gap 'Cancer & Coherence'
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  Data: <searchLink fieldCode="AR" term="%22Hansley%2C+Dustin%22">Hansley, Dustin</searchLink>
– Name: Publisher
  Label: Publisher Information
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  Data: Zenodo
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2025
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  Data: Zenodo
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22cancer+targeting%22">cancer targeting</searchLink><br /><searchLink fieldCode="DE" term="%22frequency+medicine%22">frequency medicine</searchLink><br /><searchLink fieldCode="DE" term="%22quantum+biophysics%22">quantum biophysics</searchLink><br /><searchLink fieldCode="DE" term="%22Biomedical+Engineering%22">Biomedical Engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Biomedical+Engineering%2Fclassification%22">Biomedical Engineering/classification</searchLink><br /><searchLink fieldCode="DE" term="%22Biomedical+Engineering%2Feducation%22">Biomedical Engineering/education</searchLink><br /><searchLink fieldCode="DE" term="%22Biomedical+Engineering%2Finstrumentation%22">Biomedical Engineering/instrumentation</searchLink><br /><searchLink fieldCode="DE" term="%22Biomedical+Engineering%2Fethics%22">Biomedical Engineering/ethics</searchLink><br /><searchLink fieldCode="DE" term="%22Biomedical+Engineering%2Fstatistics+%26+numerical+data%22">Biomedical Engineering/statistics & numerical data</searchLink><br /><searchLink fieldCode="DE" term="%22Cancer%22">Cancer</searchLink><br /><searchLink fieldCode="DE" term="%22Cervical+cancer%22">Cervical cancer</searchLink><br /><searchLink fieldCode="DE" term="%22Liver+cancer%22">Liver cancer</searchLink><br /><searchLink fieldCode="DE" term="%22Prostate+cancer%22">Prostate cancer</searchLink><br /><searchLink fieldCode="DE" term="%22Pancreatic+cancer%22">Pancreatic cancer</searchLink><br /><searchLink fieldCode="DE" term="%22Lung+cancer%22">Lung cancer</searchLink><br /><searchLink fieldCode="DE" term="%22Skin+cancer%22">Skin cancer</searchLink><br /><searchLink fieldCode="DE" term="%22Cancer+risk%22">Cancer risk</searchLink><br /><searchLink fieldCode="DE" term="%22Breast+cancer%22">Breast cancer</searchLink><br /><searchLink fieldCode="DE" term="%22Cancer+Survivors%22">Cancer Survivors</searchLink><br /><searchLink fieldCode="DE" term="%22Cancer+Pain%2Fimmunology%22">Cancer Pain/immunology</searchLink><br /><searchLink fieldCode="DE" term="%22Cancer+Pain%2Fpathology%22">Cancer Pain/pathology</searchLink><br /><searchLink fieldCode="DE" term="%22Cancer+Pain%2Frehabilitation%22">Cancer Pain/rehabilitation</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Comprehensive RaRaMa Frequency Cancer Targeting System with Mathematical Foundations and Validations We present a comprehensive theoretical framework for precision cancer targeting using the RaRaMa frequency equation f* = c_eff/(4d_molecular), integrating quantum mechanics, wave physics, and biological resonance phenomena. The mathematical foundation spans from the fundamental vibrational frequency equation ν = (1/2π)√(k/μ) through the Schrödinger equation for molecular vibrations to complex biological systems described by the Peyrard-Bishop Hamiltonian for DNA breathing modes and Elastic Network Models for protein dynamics. This framework transforms cancer treatment from generic chemotherapy to personalized dietary interventions targeting specific molecular frequencies across 90+ therapeutic food compounds and 53 distinct cancer types. Practical Implementation System: The framework categorizes therapeutic food compounds into four frequency ranges optimized for different biological targets: Ultra-High Frequency compounds (72.1-64.7 THz) including isothiocyanates, caffeine, and sulforaphane for precision DNA targeting; High Frequency compounds (63.2-52.1 THz) including quercetin, curcumin, and piperine for enzyme active sites; Medium Frequency compounds (46.5-29.6 THz) including berberine, EGCG, and lycopene for membrane proteins; and Low Frequency compounds (26.2-10.2 THz) including beta-glucan and pectin for large molecular complexes. Personalized Cancer Protocols: Complete treatment protocols were developed for 53 cancer types across 12 major categories including brain cancers (glioblastoma, astrocytoma), lung cancers (adenocarcinoma, squamous cell), breast cancers (HER2+, triple-negative), blood cancers (AML, CLL), and others. Each protocol specifies exact compound combinations, timing sequences, and bioavailability enhancement strategies tailored to cancer-specific molecular targets. Precision Frequency Matching: Perfect therapeutic matches within 5% tolerance include Berberine targeting KRAS G12 ...
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  Data: https://zenodo.org/records/17118085; oai:zenodo.org:17118085; https://doi.org/10.5281/zenodo.17118085
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.5281/zenodo.17118085
– Name: URL
  Label: Availability
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  Data: https://doi.org/10.5281/zenodo.17118085<br />https://zenodo.org/records/17118085
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  Label: Rights
  Group: Cpyrght
  Data: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
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  Label: Accession Number
  Group: ID
  Data: edsbas.1B401DA7
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.5281/zenodo.17118085
    Languages:
      – Text: unknown
    Subjects:
      – SubjectFull: cancer targeting
        Type: general
      – SubjectFull: frequency medicine
        Type: general
      – SubjectFull: quantum biophysics
        Type: general
      – SubjectFull: Biomedical Engineering
        Type: general
      – SubjectFull: Biomedical Engineering/classification
        Type: general
      – SubjectFull: Biomedical Engineering/education
        Type: general
      – SubjectFull: Biomedical Engineering/instrumentation
        Type: general
      – SubjectFull: Biomedical Engineering/ethics
        Type: general
      – SubjectFull: Biomedical Engineering/statistics & numerical data
        Type: general
      – SubjectFull: Cancer
        Type: general
      – SubjectFull: Cervical cancer
        Type: general
      – SubjectFull: Liver cancer
        Type: general
      – SubjectFull: Prostate cancer
        Type: general
      – SubjectFull: Pancreatic cancer
        Type: general
      – SubjectFull: Lung cancer
        Type: general
      – SubjectFull: Skin cancer
        Type: general
      – SubjectFull: Cancer risk
        Type: general
      – SubjectFull: Breast cancer
        Type: general
      – SubjectFull: Cancer Survivors
        Type: general
      – SubjectFull: Cancer Pain/immunology
        Type: general
      – SubjectFull: Cancer Pain/pathology
        Type: general
      – SubjectFull: Cancer Pain/rehabilitation
        Type: general
    Titles:
      – TitleFull: RaRaMa - The Gap 'Cancer & Coherence'
        Type: main
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            NameFull: Hansley, Dustin
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2025
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              Value: edsbas
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