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This article explores the dynamics of nanofluids consisting of copper (TiO2) nanoparticles suspended in water, as they interact with sensor surfaces between two parallel squeezing plates with porous characteristics. This research specifically targets applications involving enhanced heat transfer and magnetohydrodynamic (MHD) control in nanofluid systems. The primary aim is to analyze the effects of nanoparticle aggregation and non-aggregation on sensor surfaces, considering MHD formations and heat transfer in the energy and momentum equations. The research adopts a steady-state fluid condition and utilizes similarity transformations to convert partial differential equations into more manageable ordinary differential equations. The methodology involves shooting methods for solving these nonlinear ordinary differential equations and employs graphical analyses to study the impacts of various parameters such as permeability, magnetic influence, squeeze flow, and radiation on the temperature and velocity profiles of the nanofluid. The results reveal significant dependencies of temperature and velocity profiles on the studied parameters, illustrating varied behaviors in scenarios of both aggregation and non-aggregation of nanoparticles. The findings emphasize how each parameter distinctively influences the heat and flow characteristics of the nanofluid, offering insights into optimizing conditions for better performance and control in practical applications. Future research could focus on extending the model to include transient fluid states and exploring the effects of other nanoparticle materials and shapes. There is also potential to investigate the interactions under different environmental conditions and to incorporate more complex boundary conditions to simulate real-world applications more accurately. Further experimental validation of the theoretical predictions would be beneficial to enhance the reliability and applicability of the findings.

Racial/ethnic minority groups have a disproportionate burden of kidney cancer. The objective of this study was to assess if race/ethnicity was associated with a longer surgical wait time (SWT) and upstaging in the pre-COVID-19 pandemic time with a special focus on Hispanic Americans (HAs) and American Indian/Alaska Natives (AIs/ANs). Medical records of renal cell carcinoma (RCC) patients who underwent nephrectomy between 2010 and 2020 were retrospectively reviewed (n = 489). Patients with a prior cancer diagnosis were excluded. SWT was defined as the date of diagnostic imaging examination to date of nephrectomy. Out of a total of 363 patients included, 34.2% were HAs and 8.3% were AIs/ANs. While 49.2% of HA patients experienced a longer SWT (≥90 days), 36.1% of Non-Hispanic White (NHW) patients experienced a longer SWT. Longer SWT had no statistically significant impact on tumor characteristics. Patients with public insurance coverage had increased odds of longer SWT (OR 2.89, 95% CI: 1.53–5.45). Public insurance coverage represented 66.1% HA and 70.0% AIs/ANs compared to 56.7% in NHWs. Compared to NHWs, HAs had higher odds for longer SWT in patients with early-stage RCC (OR, 2.38; 95% CI: 1.25–4.53). HAs (OR 2.24, 95% CI: 1.07–4.66) and AIs/ANs (OR 3.79, 95% CI: 1.32–10.88) had greater odds of upstaging compared to NHWs. While a delay in surgical care for early-stage RCC is safe in a general population, it may negatively impact high-risk populations, such as HAs who have a prolonged SWT or choose active surveillance.