The photoacoustic spectroscopy (PAS) system commonly enhances the efficiency of optical-acoustic-electrical energy conversion by increasing the laser power, optimizing the resonance characteristics of the photoacoustic cell (PAC), and improving the sensitivity of acoustic sensors. However, conventional systems using a single-microphone or a dual-microphone differential setup for point sampling of the photoacoustic signal fail to account for its spatial distribution, leading to a loss of spatial gain. Drawing on microphone array theory derived from sonar technology, this study, for the first time, presents a PAS sensing system based on a four-microphone array, which is applied to detect chloroform gas.
View Article and Find Full Text PDFChromothripsis, a hallmark of cancer, is characterized by extensive and localized DNA rearrangements involving one or a few chromosomes. However, its genome-wide frequency and characteristics in urothelial carcinoma (UC) remain largely unknown. Here, by analyzing single-regional and multi-regional whole-genome sequencing (WGS), we present the chromothripsis blueprint in 488 UC patients.
View Article and Find Full Text PDFCytosine-rich and poly(adenine)-tailed tetrahedral DNA framework (TDF) is designed as template (A-TDF) for anchoring silver nanoclusters (AgNCs) and igniting the dual-color fluorescence of AgNCs. The resultant DNA-AgNCs simultaneously emits red and green fluorescence, and the quantum yield of red fluorescence is as high as 44.8%.
View Article and Find Full Text PDFObjective: Based on Toll Like Receptor 4 (TLR4)/Nuclear Factor-κB (NF-κB) Exploring the effects of Licochalcone A (LCA) on the proliferation, invasion, and drug resistance of glioma cells through signaling pathways.
Methods: Cultivate human glioma cell line U251 in vitro, induce drug-resistant cell line U251/TMZ with Temozolomide (TMZ), and validate the results. Different concentrations of licorice chalcone A were used to treat U251 cells and U251/TMZ cells, and were named as control group, low-dose group, medium-dose group, and high-dose group, respectively.
The emergence of SARS-CoV-2 variants of concern (VOCs) punctuated the dynamics of the COVID-19 pandemic in multiple occasions. The stages subsequent to their identification have been particularly challenging due to the hurdles associated with a prompt assessment of transmissibility and immune evasion characteristics of the newly emerged VOC. Here, we retrospectively analyze the performance of a modeling strategy developed to evaluate, in real-time, the risks posed by the Alpha and Omicron VOC soon after their emergence.
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