Individual Differences

P1.246. Evaluating Robot-Assisted Oesophagectomy Adoption: A Comparative Single-Centre Analysis of Outcomes and Costs

Abstract Topic Esophageal Cancer: Surgical Treatment of Esophageal Cancer – technique Background Minimally invasive oesophagectomy (MIE) is widely used for oesophageal cancer, reducing tissue trauma while maintaining oncological outcomes. Robot-assisted MIE (RAMIE) offers enhance...

Zero-count deviation identity, cubic repulsion and deterministic corridor: a conditional framework for analytic bound tightening

Numerical evidence (298,190 zeros, t <= 200,000, fully verified; large-t sampling to 10^7 verified and 2x10^14 sampled) reveals: (1) an identity S(gamma_n) ~ sum delta_k with correlation r = 0.999958; (2) cubic repulsion P(u<eps) = 0.8 eps^3 with micro-calculus structure 0.8 = 2....

Zero-count deviation identity, cubic repulsion and deterministic corridor: a conditional framework for analytic bound tightening

Numerical evidence (298,190 zeros, t <= 200,000, fully verified; large-t sampling to 10^7 verified and 2x10^14 sampled) reveals: (1) an identity S(gamma_n) ~ sum delta_k with correlation r = 0.999958; (2) cubic repulsion P(u<eps) = 0.8 eps^3 with micro-calculus structure 0.8 = 2....

Zero-Count Deviation Identity: S(T) as Accumulated Gap Fluctuation

Numerical identity: S(γ_n) ≈ Σ_{k<n}(1 − gap_k/ρ(t_k)), ρ(t) = 2π/log(t/2π), verified over 298,190 zeros (t ≤ 200,000) with r = 0.999958. The ρ-choice is uniquely pinned: fixed/halved/ doubled alternatives give r ≈ −0.38/0.94/−0.94. Residual error converges (0.48 → 0.11). This is...

High-Precision Molecular Profiling and Diagnostic Verification of Breast Cancer Subtypes using PAM50 and Empirical Bayes Modeling

High-Precision Molecular Profiling and Diagnostic Verification of Breast Cancer Subtypes using PAM50 and Empirical Bayes Modeling :Punyawatt PitaksuntisookInaccurate molecular subtyping of breast cancer is a critical challenge in clinical oncology because misdiagnosing luminal or...