This study presents the whole genome sequence of Staphylococcus aureus strain 37M isolated from cows with subclinical mastitis in Kiruhura district, Uganda

Malignant brain tumors, including glioblastoma and medulloblastoma, remain highly treatment-resistant. Neural stem cells (NSCs) are being investigated as tumor-tropic therapeutic vectors, but the temporal interaction between tumor and NSC populations requires quantitative characterization before model-based treatment hypotheses can be interpreted reliably. This study aimed to develop and numerically evaluate a reproducible 2-population model of tumor–NSC dynamics and to quantify the influence of NSC persistence and NSC-mediated tumor killing on simulated tumor burden. A normalized system of 2 coupled nonlinear ordinary differential equations was used: dT / dt = rT (1 − T ) − β T N and d N/ dt = αN(1 − N) − γ T N. The baseline simulation used r = 0.20000 day ⁻¹ , α = 0.05000 day ⁻¹ , β = 0.35000 day ⁻¹ , γ = 0.30000 day ⁻¹ , T ₀ = 0.50000, and N ₀ = 0.40000. Explicit Euler integration was performed with Δ t = 0.01 day over 20 days. A descriptive nonlinear regression fit, Fourier spectral analysis, 1-parameter sensitivity analyses, and joint α–β sensitivity analysis were applied to the simulated trajectory. In the baseline simulation, tumor density decreased from 0.5000 to a minimum of 0.4772 at day 2.59 (4.57% below the initial value) and subsequently increased to T ₂₀ = 0.8273, while NSC density declined from 0.4000 to N ₂₀ = 0.0247. The descriptive regression reproduced the simulated tumor trajectory with R ² = 0.9973 and root mean square error = 0.00590. Increasing α from 0.05 to 0.10 day ⁻¹ reduced T ₂₀ by 12.6% relative to baseline, and increasing β from 0.35 to 0.50 day ⁻¹ reduced T ₂₀ by 19.9%. Jointly setting α = 0.10 and β = 0.50 day ⁻¹ yielded T ₂₀ = 0.4427, 46.5% below the baseline terminal tumor density. The Fourier spectrum was dominated by the zero and low-frequency components, with no distinct oscillatory peak over the 20-day window. The model indicates that NSC persistence and NSC-mediated tumor killing materially influence terminal tumor burden, but the baseline parameterization produces only transient early suppression followed by tumor regrowth as the NSC population declines. The results are population-level, model-based estimates rather than tumor-type-specific clinical efficacy measures. Tumour-specific calibration, spatial migration, immune interactions, and experimental validation are required before translational conclusions can be drawn.