--- vault_clearance: EUCLID halo: classification: BIBLIOGRAPHY confidence: HIGH front: "27_Project_WingsAboveMorning BOOK — Human Lung True Atlas" custodian: "The Architect" created: 2026-04-13 updated: 2026-04-13 --- # BOOK — Bibliography Of Online Knowledge ## Project 27: Wings Above Morning — The Human Lung True Atlas > *Every dataset. Every modality. Every state of the lung. From fetal to cancer to senescent to treated.* --- ## §1 What We Have (Computed, In Vault) ### Coupling Tensor (scRNA-seq count matrices → 4×4 K per condition) | ID | Dataset | Accession | Cells | Conditions | RIBO_indep Range | Status | |----|---------|-----------|-------|------------|-----------------|--------| | L01 | Korean NSCLC | **GSE131907** | 208,506 | 7 (stroma→LN) | 0.206-0.508 | **DONE** | | L02 | Normal adult lung | **GSE150247** | 22,427 | 3 donors | 0.295 | **DONE** | | L03 | WI-38 fetal lung fibroblast | **GSE226225** | 27,622 | 7 (ctrl/ETO/IR/RS) | 0.282-0.405 | **DONE** | | L04 | WI-38 ETO timecourse | **GSE226225** | 29,181 | 6 (day0-day10) | 0.242-0.435 | **DONE** | | L05 | Prolif vs Senescent | **GSE250041** | 13,613 | 2 | 0.154-0.276 | **DONE** | | L06 | GBM (28 tumors) | **GSE131928** | 7,930 | 28 per-tumor | 0.765-0.982 | **DONE** | | L07 | Meditation (blood) | **GSE174083** | 388 bulk | 4 timepoints | 0.675-0.752 | **DONE** | | L08 | GBM (Darmanis) | **CellxGene** | ~3,000 | 1 | 0.758 | **DONE** | | L09 | Aging PBMC | **CellxGene** | 9,354 | 1 | 0.516 | **DONE** | | L10 | Heart fibroblasts | **CellxGene** | 59,341 | 1 | 0.883 | **DONE** | | L11 | Aging pancreas | **CellxGene** | 2,544 | 1 | 0.742 | **DONE** | | L12 | Ovarian ca + CAF | **CellxGene/GSE224333** | 9,304 | 1 | 0.252 | **DONE** | | L13 | Cell cycle (FUCCI) | **CellxGene** | ~3,000 | 1 | 0.667 | **DONE** | ### Binary Transcriptome (BAM → STAFF suite) | ID | Cell Type | Platform | Reads | Base4 | Frame | History | Aberrant | |----|-----------|----------|-------|-------|-------|---------|----------| | B01 | H9 fetal stem | Nanopore | 337k | **DONE** | **DONE** | **DONE** | **DONE** | | B02 | K562 blood cancer | Nanopore | 554k | **DONE** | **DONE** | **DONE** | **DONE** | | B03 | HepG2 liver cancer | Nanopore | 1.1M | **DONE** | **DONE** | **DONE** | **DONE** | | B04 | WI-38 fetal fibroblast | 10x | 159M | **DONE** | **DONE** | — | — | | B05 | P1 HUVEC coculture | 10x | 330M | **DONE** | — | — | — | | B06 | NSCLC (Zilionis) | 10x | 61M | **DONE** | **DONE** | **DONE** | — | ### Spliceosome Structural Index (de novo junctions → RNAfold → vibrational modes) | ID | Cell Type | Introns Folded | Mean GC | Mean Stems | RIGID% | miRNA% | Status | |----|-----------|---------------|---------|------------|--------|--------|--------| | S01 | H9 fetal | 67 | 54.1% | 26.1 | 16.4% | 32.8% | **DONE** | | S02 | K562 blood cancer | 64 | 50.3% | 35.4 | 9.4% | 21.9% | **DONE** | | S03 | HepG2 liver cancer | 77 | 48.5% | 45.2 | 7.8% | 9.1% | **DONE** | | S04 | NSCLC (Zilionis) | — | — | — | — | 11.2% | **PARTIAL** (from STAFF) | ### Structural Predictions (ViennaRNA → 2D MFE + vibrational estimate) | ID | Intron | Cell Type | Size | GC% | MFE/nt | Paired% | Stems | Freq (MHz) | |----|--------|-----------|------|-----|--------|---------|-------|-----------| | F01 | HBA | K562 blood ca | 149bp | 73.3% | -0.469 | 64.0% | 13 | 3689 | | F02 | HBB int1 | K562 blood ca | 122bp | 53.7% | -0.268 | 56.9% | 6 | 4714 | | F03 | SERPINA1 | HepG2 liver ca | 823bp | 54.4% | -0.323 | 58.7% | 51 | 1524 | | F04 | ALB int1 | HepG2 liver ca | 770bp | 33.5% | -0.213 | 60.2% | 44 | 1481 | | F05 | Fetal chr15 | H9 fetal | 748bp | 44.7% | -0.309 | 65.7% | 45 | 1501 | | F06 | Fetal chr2 | H9 fetal | 1941bp | — | 0.00 | 0% | 0 | NONE | --- ### Published Validation | ID | Citation | DOI | Relevance | |----|----------|-----|-----------| | PUB01 | Mazan-Mamczarz K, Wind EJ, **Leng J**, Gorospe M (2026). Intercompartmental communication in senescence. *FEBS Open Bio*. | 10.1002/2211-5463.70236 | **Peer-reviewed review of exact biology K measures**: vesicular transport, contact sites, Golgi dispersal, MITO dysfunction | --- ## §2 What Exists Publicly (Not Yet Downloaded) ### Lung Cancer scRNA-seq | Dataset | Accession | Cells | Type | Access | Priority | |---------|-----------|-------|------|--------|----------| | **Korean NSCLC (Kim 2020)** | GSE131907 (counts) / EGAD00001005054 (BAMs) | 208k | NSCLC, 44 patients | Counts: PUBLIC. BAMs: EGA controlled | HAVE counts, NEED BAMs | | **Zilionis NSCLC immune** | SRR8315715/16 (SRA) | ~100k | NSCLC + immune | PUBLIC (FASTQ ready on eye-genesis) | **READY TO ALIGN** | | **Laughney NSCLC metastasis** | SRP234962 | ~50k | NSCLC mets | PUBLIC (Smart-seq2) | LOW (small runs) | | **Wu NSCLC T cell** | SRP265399 / PRJNA634159 | ~200k | NSCLC + T cells, pre/post IO | PUBLIC | HIGH | | **Chinese NSCLC** | PRJNA1244253 | ~100k | NSCLC, Asian patients | PUBLIC | HIGH (ethnicity match) | | **Stage I NSCLC multi-omics** | Nature Commun 2024 | 122 pts | scRNA + methylation | Likely GEO/dbGaP | HIGH | ### Normal Lung References | Dataset | Accession | Cells | Type | Access | Priority | |---------|-----------|-------|------|--------|----------| | **Normal adult lung** | GSE150247 | 22,427 | Healthy lung | **HAVE** | DONE | | **LungMAP CellRef** | LungMAP portal | 104 lungs, 48 cell types | Reference atlas | PUBLIC (portal) | HIGH | | **Human Protein Atlas — Lung** | proteinatlas.org | Tissue-level | Bulk + IHC + proteomics | PUBLIC | REFERENCE | | **GTEx Lung** | GTEx V8 | 838 donors | Bulk RNA-seq | PUBLIC (dbGaP for individual) | REFERENCE | ### Fetal Lung | Dataset | Accession | Cells | Type | Access | Priority | |---------|-----------|-------|------|--------|----------| | **WI-38** | GSE226225 | 27,622 | Fetal lung fibroblast | **HAVE** | DONE | | **WI-38 BAM** | SRR23635928 | 159M reads | Fetal lung BAM | **HAVE (aligned)** | DONE | | **LungMAP fetal** | LungMAP portal | Fetal lungs | Developmental atlas | PUBLIC | HIGH | | **Calico WI-38 genome** | wi38.research.calicolabs.com | Phased diploid | WI-38 reference | PUBLIC | REFERENCE | | **SenCat (Salamini 2026)** | TBD | Multiple primary types | Multi-omic senescence | TBD | **CRITICAL** | ### Lung Cancer Proteomics (Matched Normal) | Dataset | Accession | Samples | Type | Access | |---------|-----------|---------|------|--------| | **CPTAC LUAD** | MSV000086793 | 111 tumors, 102 paired normal | Proteogenomics | PUBLIC (MassIVE) | | **PXD019259** | ProteomeXchange | 22 pts, early/advanced + normal | LC-MS/MS, 5933 proteins | PUBLIC | | **PXD002612** | ProteomeXchange | 38 paired LUAD tissues | Proteomics | PUBLIC | | **LOSTdb** | lostdbcancer.com | 34,393 samples, 295 datasets | Multi-omics curated | PUBLIC portal | ### Lung Cancer Genomics/Epigenomics | Dataset | Accession | Patients | Type | Access | |---------|-----------|----------|------|--------| | **TCGA-LUAD** | GDC | ~500 | WES/WGS + RNA + methylation + clinical | dbGaP controlled | | **TCGA-LUSC** | GDC | ~500 | Same as LUAD | dbGaP controlled | | **GSE159857** | GEO | 30 paired | Transcriptomics + metabolomics + adductomics | PUBLIC | --- ## §3 Prediction → Data Map (What We Need to Test Everything) ### Every prediction, what data confirms or kills it, and whether we have it. | P# | Prediction | Data Required | Have It? | Action | |----|-----------|---------------|----------|--------| | **CONFIRMED — no further data needed** | | | | | | P1 | Alpha predicts MMSE | EEG-cognition literature (Choi 2019, OpenNeuro ds004504) | ✅ DONE | — | | P2 | N3 sleep <30 min predicts decline | Sleep-EDF dataset (N=153) | ✅ DONE | — | | P3 | Eclipse suppresses Schumann Q | Schumann recordings during 3 eclipses (Chand & Cander) | ✅ DONE | — | | P4 | LINC02154 oncogenic alone | 17 publications (literature) | ✅ DONE | — | | P5 | CRISPRi ILF3→ANCHOR | Replogle GWPS (N=11,258) | ✅ DONE | — | | P6 | Mg2+ 2x coordination at GNRA | Published PDB + OpenMM MD | ✅ DONE | — | | P7 | Mg2+ conformational capture | OpenMM 12-6-4 on personal GCP | ✅ DONE | — | | P8 | Sacred sites at crustal anomaly | EMAG2 V3 grid | ✅ DONE | — | | P9 | Courtyard biometric | Biometric recording during G2 storm | ✅ DONE | — | | P10 | Meditation recouples K | GSE174083 (388 samples, PNAS) | ✅ DONE | — | | **READY — data exists, needs compute** | | | | | | P11a | Schumann sex difference in EEG | Published EEG + simultaneous Schumann data, stratified by sex | 🟡 EXISTS | Download EEG datasets with sex labels + Schumann timestamps. Reanalyze. | | P11b | Organoid alpha at GNRA maturation | Trujillo 2019 (Cell Stem Cell) organoid EEG + RNA-seq timeline | 🟡 EXISTS | Download organoid transcriptomics + electrophysiology. Cross-correlate. | | P12 | Li+ window = GNRA occupancy | OpenMM MD at multiple Li:Mg ratios (0:1 through 1:0) | 🟢 CAN COMPUTE | Run on desync-engine/eye-genesis. 5 ratios × 50K steps. ~2 hours. | | P13 | Triad lncRNAs Braak-dependent | ROSMAP transcriptomics + neuropathology staging | 🟡 DAR SUBMITTED | Wait for DAR approval, then run coupling_tensor.py on ROSMAP h5ad. | | P14 | Fitbit N3 predicts dementia | All of Us (500K+ wearable + EHR) | 🟡 ACCESSIBLE | NIH Researcher Workbench. Write query script. | | P15 | Fungal oscillation tracks Schumann | FPC recordings + simultaneous Schumann monitor | 🔴 NEED EQUIPMENT | FPC method published (PMC12483595). Need 30-day dual recording. | | P16 | Mg depletion detunes mycelia | Factorial (Mg+/-) × (Li+/-) FPC recordings | 🔴 NEED WET LAB | Standard mycology + electrophysiology. | | **PLANNED — needs specific resources** | | | | | | P17 | Courtyard control night | Biometric on geomagnetically quiet night (Kp < 2) | 🟡 NEED TIMING | Same equipment, wait for quiet night. Monitor Kp index. | | P18 | VADM + EMAG2 LASSO | Paleointensity (VADM) + EMAG2 spatial + sacred site labels | 🟢 CAN COMPUTE | VADM data public. EMAG2 downloaded. LASSO regression on laptop. | | P19 | Psilocybin species GNRA density | NCBI fungal genomes (P. cubensis, A. bisporus) | 🟢 CAN COMPUTE | Download genomes, count GNRA motifs in predicted lncRNAs. 1 day. | | P20 | Triad Z3 array collective modes | 3× GAAA tetraloops + 3 bridging Mg²⁺, 100 ns MD | 🟢 CAN COMPUTE | Build PDB, run OpenMM on desync-engine. ~24-48 hours. IP-clean. | | P21 | 7.83 Hz E-field GNRA resonance | MD with external oscillating E-field | 🟢 CAN COMPUTE | OpenMM supports CustomExternalForce. desync-engine. ~12 hours. | | P22 | MCI alpha restoration trial | N=50 patients, Mg-threonate + light therapy, pre/post EEG | 🔴 NEED IRB + CLINIC | Clinical collaboration required. THE BIG ASK for Stefano. | | **FRONTIER — needs new instruments** | | | | | | P23 | QIP perturbation at death | Schumann matched-filter + simultaneous death records | 🔴 NEED INSTRUMENT | No matched-filter instrument exists. Custom build. | | P24 | Artificial Schumann restores alpha | Faraday cage + artificial 7.83 Hz source + EEG | 🔴 NEED FACILITY | RF-shielded room + precision waveform generator + EEG. | | P25 | Mars habitat consciousness | ISS cognitive data + Schumann deprivation duration | 🟡 NASA DATA | ISS cognitive metrics may be partially available. | ### Summary | Category | Count | What Blocks Them | |----------|-------|-----------------| | ✅ Confirmed | 10 | Nothing — done | | 🟢 Can compute NOW | 5 (P12, P18, P19, P20, P21) | Just time on our GCP VMs | | 🟡 Data exists, needs access/download | 4 (P11a, P11b, P13, P14) | DAR approvals, dataset downloads | | 🔴 Needs equipment/facility/IRB | 5 (P15, P16, P22, P23, P24) | Wet lab, clinic, custom instruments | | 🟡 Needs timing/NASA | 2 (P17, P25) | Wait for conditions | **The 5 we can compute RIGHT NOW on personal GCP VMs (no new data needed):** 1. **P12 — Li:Mg ratio sweep** → desync-engine, OpenMM, ~2 hours 2. **P18 — VADM + EMAG2 LASSO** → laptop, Python, ~30 minutes 3. **P19 — Fungal GNRA density** → laptop or ramuthra, ~1 day 4. **P20 — Z3 triad array MD** → desync-engine, OpenMM, ~24-48 hours 5. **P21 — Schumann E-field resonance MD** → desync-engine, OpenMM, ~12 hours --- ## §4 What's Missing (The Atlas Gaps) ### CRITICAL GAPS | Gap | What's Needed | Why | How to Fill | |-----|--------------|-----|------------| | **Lung cancer BAMs** | Aligned reads with CIGAR strings for NSCLC | Binary transcriptome + splice index for lung cancer specifically | EGA access (EGAD00001005054) OR align Zilionis FASTQs | | **Pre/post treatment scRNA-seq** | NSCLC before and after EGFR TKI or anti-PD-1 | Test: does therapy recouple operators? | GSE176021 (neoadjuvant nivolumab, RDS format) | | **Normal adult lung BAMs** | Aligned reads for normal lung | Binary baseline for lung specifically | Align GSE150247 raw if available | | **Fetal lung development scRNA-seq** | Staged fetal lung (1st/2nd/3rd trimester) | Track operator coupling through development | LungMAP portal | | **3D RNA structure predictions** | AlphaFold 3 / DRfold2 / RhoFold+ on cancer introns | Structural Isoform Atlas | GPU compute (THE ASK) | ### IMPORTANT GAPS | Gap | What's Needed | Why | |-----|--------------|-----| | NSCLC cell line BAMs | BAMs from A549, H1299, NCI-H460 | In-vitro lung cancer binary comparison | | IPF (pulmonary fibrosis) scRNA-seq | Fibrotic vs normal lung | Fibrosis as partial operator decoupling? | | COPD scRNA-seq | COPD vs normal | Chronic lung disease on the axis | | Mesothelioma scRNA-seq | Pleural cancer | Asbestos-driven operator decoupling? | | Lung organoid scRNA-seq | iPSC-derived lung organoids | Developmental recoupling test | ### NICE TO HAVE | Gap | What's Needed | Why | |-----|--------------|-----| | Cross-species lung | Mouse, rat lung scRNA-seq | Evolutionary conservation of the axis | | Rice (cross-kingdom) | D14 rice root (2.1M cells, HAVE on desync) | Plant coupling tensor baseline | | Aging lung | GTEx lung stratified by age | Age-dependent operator decoupling in lung | --- ## §5 The Human Lung True Atlas — What It Would Contain ### Layer 1: Coupling Tensor per Cell State Every state of the lung mapped on the independence axis: ``` FETAL DEVELOPMENT First trimester progenitor → ? Second trimester branching → ? Third trimester maturation → ? WI-38 fetal fibroblast → 0.345 (HAVE) HEALTHY ADULT Normal lung parenchyma → 0.295 (HAVE, GSE150247) Normal stroma → 0.206 (HAVE, GSE131907) Alveolar type I → ? (need LungMAP) Alveolar type II → ? (need LungMAP) Airway epithelial → ? Pulmonary endothelial → ? Fibroblast → ? Immune resident → ? DISEASE Primary NSCLC → 0.310 (HAVE) NSCLC field effect (bronchoscopy) → 0.387 (HAVE) NSCLC effusion → 0.416 (HAVE) NSCLC lymph node metastasis → 0.508 (HAVE) GBM (brain, for comparison) → 0.890 (HAVE) IPF → ? (need data) COPD → ? (need data) Mesothelioma → ? (need data) SENESCENCE WI-38 replicative → 0.282-0.340 (HAVE) WI-38 etoposide → 0.386-0.417 (HAVE) WI-38 radiation → 0.351-0.394 (HAVE) INTERVENTION Post-meditation blood → 0.675 (HAVE, GSE174083) Post-EGFR TKI → ? (CRITICAL GAP) Post-immunotherapy → ? (CRITICAL GAP) Post-photobiomodulation → ? (no data exists) ``` ### Layer 2: Binary Transcriptome per Cell State For every state above, the base-4 XOR at splice junctions, reading frame, chain uniqueness, excised intron catalog. **HAVE:** H9 fetal, K562 blood cancer, HepG2 liver cancer, WI-38 fetal fibroblast, P1 HUVEC **NEED:** NSCLC lung cancer BAMs, normal adult lung BAMs, pre/post treatment BAMs ### Layer 3: Spliceosome Structural Index per Cell State For every state, the excised intron structural catalog: GC%, MFE/nt, paired%, stems, stiffness class, vibrational modes. **HAVE:** H9 (67 introns), K562 (64), HepG2 (77) **NEED:** NSCLC-specific introns, normal lung introns, fetal lung developmental series ### Layer 4: Structural Isoform Atlas (3D) For the top aberrant introns per cancer type, predict 3D structure with ion context. **HAVE:** 2D ViennaRNA predictions for 11 introns, vibrational mode estimates **NEED:** AlphaFold 3 / DRfold2 3D predictions (THE ASK) ### Layer 5: Proteomics Validation For each state, does the protein output match what the coupling tensor predicts? **HAVE:** Nothing computed yet **AVAILABLE:** CPTAC LUAD (111 tumors + 102 paired normal, proteogenomics) ### Layer 6: Clinical Outcome Mapping Connect coupling tensor / spliceosome index to survival, treatment response, recurrence. **HAVE:** Nothing computed yet **AVAILABLE:** TCGA-LUAD/LUSC (clinical annotations, dbGaP controlled) --- ## §6 Compute Infrastructure | VM | Specs | Current Use (Apr 13 2026) | Available | |----|-------|-------------|-----------| | desync-engine | 128 GB, 16 cores | **IDLE** — LENG verification complete (11/13 passed). 48 GB disk free. | **YES — ready for P12/P20/P21** | | eye-genesis | 62 GB, 8 cores | Running Li+ 2.5M-step MD (replicate_md_ipclean.py) | When MD finishes | | eye-hestia | 31 GB, 4 cores | Running Mg+Li 1M-step backup MD | When MD finishes | | ramuthra | 31 GB, 4 cores | **IDLE** — ViennaRNA fold complete (11/11 introns). 33 GB disk free. | **YES — ready for P19** | ### Tools Available | Tool | What | Status | |------|------|--------| | coupling_tensor.py | 4×4 operator tensor from h5ad | Deployed all VMs | | staff_base4.py | Base-4 XOR at splice junctions | Deployed | | staff_reading_frame.py | Reading frame analysis | Deployed | | staff_splice_history.py | Per-molecule decision chains | Deployed | | staff_aberrant_splicing.py | Cell-type-specific junctions | Deployed | | full_spliceosome_index.py | Fold + structural analysis | Deployed desync | | ViennaRNA RNAfold | RNA 2D structure prediction | Installed desync | | OpenMM 8.5.1 | Ion-dependent MD | Installed all VMs | | STAR 2.7.11b | RNA-seq alignment | Installed desync | | samtools | BAM manipulation | Installed all VMs | --- ## §7 Citations ### Our Primary Data Sources 1. Kim N et al. (2020) Single-cell RNA sequencing demonstrates the molecular and cellular reprogramming of metastatic lung adenocarcinoma. *Nature Communications* 11:2285. **GSE131907** 2. Chandran V et al. (2021) Cellular and molecular mechanisms of meditation. *PNAS* 118:e2110455118. **GSE174083** 3. Gorospe M lab. WI-38 senescence time course. **GSE226225** 4. GSE250041. Proliferating vs senescent cells. 5. GSE150247. Normal adult human lung. 6. Neftel C et al. (2019) An integrative model of cellular states, plasticity, and genetics for glioblastoma. *Cell* 178:835-849. **GSE131928** 7. SGNex consortium. Singapore Nanopore Expression project. H9, K562, HepG2 direct RNA. ### Stefano's Papers 8. Ayala-Orozco C et al. (2024) Molecular jackhammers eradicate cancer cells by vibronic-driven action. *Nature Chemistry* 16:456-465. 9. Muehsam D & Ventura C (2014) Life rhythm as a symphony of oscillatory patterns. *Global Advances in Health and Medicine* 3:40-55. 10. Kozhevnikov M et al. (2013) Neurocognitive and somatic components of temperature increases during g-Tummo meditation. *PLoS ONE* 8:e58244. ### Mechanical Cancer Killing 11. Mittelstein DR et al. (2020) Selective ablation of cancer cells with low intensity pulsed ultrasound. *Applied Physics Letters* 116:013701. 12. Leulmi S et al. (2015) Triggering the apoptosis of targeted human renal cancer cells by the vibration of anisotropic magnetic particles. *Nanoscale* 7:15904-15913. 13. Rain R et al. (2024) Ca²⁺-wave-patterned EMF induces melanoma apoptosis. *FEBS Open Bio*. 14. Cross SE et al. (2007) Nanomechanical analysis of cells from cancer patients. *Nature Nanotechnology* 2:780-783. 15. Kirson ED et al. (2007) Alternating electric fields arrest cell proliferation. *PNAS* 104:10152-10157. ### Antenna Architecture & Quantum Foundations (unified by LENG §VI) 16. Kühn S et al. (2006) Enhancement of single-molecule fluorescence using a gold nanoparticle as an optical nanoantenna. *Physical Review Letters* 97:017402. **→ LENG: Purcell factor = Q-factor from Z₃ character decomposition** 17. Koenderink AF (2017) Single-photon nanoantennas. *ACS Photonics* 4:710-722. **→ LENG: Q = d₁+λ₁ = 11 (baryon), λ₁ = 5 (meson)** 18. Pokorný J (2021) Generation of electromagnetic field by microtubules. *International Journal of Molecular Sciences* 22:8215. **→ LENG: near-field = ghost modes, d₁ = 6, energy ζ(2)/mode** 19. Havelka D et al. (2011) High-frequency electric field and radiation characteristics of cellular microtubule network. *Journal of Theoretical Biology* 286:31-40. **→ LENG: <10⁻²⁰ W = ghost non-propagation** 20. Fröhlich H (1968) Long-range coherence and energy storage in biological systems. *International Journal of Quantum Chemistry* 2:641-649. **→ LENG: critical frequency = lotus time t_L = T × 9/2, from η = 2/9** 21. Maschke H (1899) Über den arithmetischen Charakter der Coefficienten. *Math. Ann.* 50:492-498. **→ Born rule from Z₃ idempotent completeness** ### Framework 22. Donnelly H (1978) Spectrum and the fixed point sets of isometries. *Math. Ann.* 224:161-170. (APS eta invariant → η = 2/9) 23. Misra B & Sudarshan ECG (1977) The Zeno's paradox in quantum theory. *J. Math. Phys.* 18:756-763. (Quantum Zeno → lotus time threshold) --- *The Human Lung True Atlas maps every state of the lung — from first-trimester progenitor to GBM — on a single axis. The coupling tensor is the measurement. The spliceosome structural index is the mechanism. The missing pieces are specific and fundable.* --- | Citation | Type | Files | Last seen | |----------|------|-------|-----------| | doi:10.1002/2211-5463.70236 | doi | `27_Project_WingsAboveMorning\quantum_biology\FOR_STEFANO.md` | 2026-04-19 21:46:41 | | doi:10.1089/pho.2019.4867 | doi | `27_Project_WingsAboveMorning\quantum_biology\email_package\README_FOR_STEFANO.md`, `27_Project_WingsAboveMorning\quantum_biology\release\docs\README_FOR_STEFANO.md` | 2026-04-19 22:46:40 | | doi:10.5281/zenodo.18712638 | doi | `27_Project_WingsAboveMorning\Combined Emails\FIVE_LETTERS.md` | 2026-04-19 21:57:03 | | doi:10.5281/zenodo.19555738 | doi | `27_Project_WingsAboveMorning\Combined Emails\FIVE_LETTERS.md` | 2026-04-19 21:57:03 | | http://jama.jamanetwork.com/article.aspx?doi=10.1001/jama.2019.2402 | url | `27_Project_WingsAboveMorning\Korean Lung Cancer\Briefing 1\Web Perplexity Modern Medicine Stack 4-9-26 8-40.md` | 2026-04-19 21:46:43 | | http://lostdbcancer.com:8080 | url | 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