Metal-centered chirality has been recognized for over one century, and stereogenic-at-metal complexes where chirality is exclusively attributed to the metal center due to the specific coordination pattern of achiral ligands around the metal ion, has been broadly utilized in diverse areas of natural science. However, synthesis of these molecules remains constrained. Notably, while asymmetric catalysis has played a crucial role in the production of optically active organic molecules, its application to stereogenic-at-metal complexes is less straightforward.
View Article and Find Full Text PDFIn hybrid systems where nanowires are proximity-coupled with superconductors, the low-energy theory fails to determine the topological phase with Majorana fermion (MF) when the magnetic field or proximity coupling is much stronger. To overcome this limitation, we propose a holistic approach that defines MF by considering both the motion of electrons in the nanowire and the quasiparticle excitations in the superconductor. This approach transcends the constraints of low-energy theory and offers broad applicability.
View Article and Find Full Text PDFWave-absorbing honeycombs have garnered widespread attention due to their high-efficiency absorption, ultra-wideband absorption, lightweight nature, and high load-carrying capacity. However, as electromagnetic radiation power increases, the temperature of the absorbing honeycomb increases rapidly, even leading to burning. Therefore, it is significant to possess an efficient and accurate assessment of the thermal effects of absorbing honeycombs under electromagnetic radiation.
View Article and Find Full Text PDFBackground And Aims: Alcoholic hepatitis (AH) and hepatocellular carcinoma (HCC) are common liver diseases. Chronic inflammation caused by AH can progress to alcoholic cirrhosis (AC) and eventually HCC.
Methods: This study sought to ascertain potential shared genes between AH and HCC through the utilization of multiple transcriptome databases.
Liver malignancies, particularly hepatocellular carcinoma (HCC), pose a formidable global health challenge. Conventional diagnostic techniques frequently fall short in precision, especially at advanced HCC stages. In response, we have developed a novel diagnostic strategy that integrates hyperspectral imaging with deep learning.
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