We study transversely averaged concentration profiles of fingering dynamics from numerical simulations. Such profiles are studied here for a comparative fluctuation analysis between density fingering (DF) and viscous fingering (VF) envolving in a quite similar nonlinear regime. Although many physical properties influence the fingering pattern formation in miscible displacements, there are few measurements obtained from the averaged profiles, as the mixing length, that help to characterize concentration fluctuations due to self-correlations in the interfacial structure. Besides mixing length, scaling exponents (α) from detrended fluctuation analysis (DFA) are computed here for DF and VF simulations. The scaling exponent evolution is compared between DF and VF cases providing a specific signature for each kind of process: DF with α=1.93±0.04 and VF with α=1.82±0.04. Our analysis, based on DFA, provides a new approach for quantifying the fingering pattern formation and, in particular, the fine fluctuations differences between viscous and density fingering in miscible fluids displacements.

The use of alpha-particle (α-particle) radionuclides, especially [²²³Ra]RaCl₂ (radium dichloride), for targeted alpha therapy is steadily increasing. Despite the positive clinical outcomes of this therapy, very little data are available about the effect on the ultrastructure of cells. The purpose of this study was to evaluate the nanomechanical and ultrastructure effect of [²²³Ra] RaCl₂ on cancer cells. To analyze the effect of [²²³Ra]RaCl₂ on tumor cells, human breast cancer cells (lineage MDA-MB-231) were cultured and treated with the radiopharmaceutical at doses of 2 µCi and 0.9 µCi. The effect was evaluated using atomic force microscopy (AFM) and transmission electron microscopy (TEM) combined with Raman spectroscopy. The results showed massive destruction of the cell membrane but preservation of the nucleus membrane. No evidence of DNA alteration was observed. The data demonstrated the formation of lysosomes and phagosomes. These findings help elucidate the main mechanism involved in cell death during α-particle therapy.

The COVID-19 pandemic originated in 2019 and has become an endemic disease that we must learn to live with, similar to other strains of influenza. The Organization (WHO) declared on May 5, 2023, in Geneva, Switzerland, the end of the Public Health Emergency of International Concern regarding COVID-19. As vaccines become more widely available and the pandemic appears to be improved, our focus shifts to the challenges we still face. Understanding how external factors like temperature, air humidity, and social isolation impact the spread of the SARS-CoV-2 virus remains a crucial challenge beyond our control. In this study, potential links between the number of COVID-19 cases in São Paulo City (SPC) and New York City (NWC) were explored. Our analysis was carried out utilizing the continuous wavelet transform, alongside other tools such as cross-wavelet transform and wavelet coherence. Based on our findings, there appears to be a correlation between the variables related to low frequencies, which aligns with previous research on the topic. Particularly, our research has revealed a connection between COVID-19 cases and factors such as temperature, air humidity, and social isolation rates. Regarding the latter, our findings indicate that implementing social distancing measures was a wise public policy decision, although the correlation with daily COVID-19 cases requires careful analysis. For this study, we analyzed data from February of 2020, when the first cases were reported in the cities under investigation, SPC and NWC, up until December 31, 2022, by which time the vaccination campaign was well under way.