Understanding the mechanism of self-assembly driven by non-covalent interactions is crucial for designing supramolecular materials with desired properties. Here we investigate the self-assembly of aromatic peptide amphiphiles, Fmoc-L2QG and Fmoc-L3QG using a combination of spectroscopic, transmission electron and superresolution optical microscopy techniques. Our results show that Fmoc-L2QG leads to concentration-dependent assembly, forming fibrous assemblies at low concentrations and supramolecular droplets via liquid-liquid phase separation (LLPS) at higher concentrations.
View Article and Find Full Text PDFAn accurate understanding of the population is essential for the development of medical care and social resources. However, the development of transportation networks has increased temporal and spatial fluctuations in the population, making it difficult to accurately forecast medical care demand, especially during disaster recovery. This study examined the population movement in areas affected by the Fukushima Daiichi nuclear power plant accident using demographic data.
View Article and Find Full Text PDFAfter the Great East Japan Earthquake, planning appropriate healthcare resource allocation was crucial. However, accurately estimating medical care demand was challenging due to substantial population fluctuations caused by extensive evacuations, compounded by the inaccuracy of conventional Resident Resister data in this context. This study employs population data generated from mobile phone network from 2019 to 2020 to conduct a detailed temporal and spatial population estimation in Futaba County, originally a complete evacuation zone.
View Article and Find Full Text PDFTreatment strategies for preventing liver fibrosis have not yet been established. Letrozole, widely used for breast cancer, has recently been reported to suppress liver fibrosis in murine models. Therefore, we aimed to validate the suppressive effects of letrozole on liver fibrosis in the clinical setting.
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