Emerging solar desalination by interfacial evaporation shows great potential in response to global water scarcity because of its high solar‐to‐vapor efficiency, low environmental impact, and off‐grid capability. However, solute accumulation at the heating interface has severely impacted the performance and long‐term stability of current solar evaporation systems. Here, a self‐regenerating solar evaporator featuring excellent antifouling properties using a rationally designed artificial channel‐array in a natural wood substrate is reported. Upon solar evaporation, salt concentration gradients are formed between the millimeter‐sized drilled channels (with a low salt concentration) and the microsized natural wood channels (with a high salt concentration) due to their different hydraulic conductivities. The concentration gradients allow spontaneous interchannel salt exchange through the 1–2 µm pits, leading to the dilution of salt in the microsized wood channels. The drilled channels with high hydraulic conductivities thus function as salt‐rejection pathways, which can rapidly exchange the salt with the bulk solution, enabling the real‐time self‐regeneration of the evaporator. Compared to other salt‐rejection designs, the solar evaporator exhibits the highest efficiency (≈75%) in a highly concentrated salt solution (20 wt% NaCl) under 1 sun irradiation, as well as long‐term stability (over 100 h of continuous operation).

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With the development of modern industry, sheet-metal parts in mass production have been widely applied in mechanical, communication, electronics, and light industries in recent decades; but the advances in sheet-metal part design and manufacturing remain too slow compared with the increasing importance of sheet-metal parts in modern industry. This paper proposes a method for automatically extracting features from an arbitrary solid model of sheet-metal parts; whose characteristics are used for classification and graph-based representation of the sheet-metal features to extract the features embodied in a sheet-metal part. The extracting feature process can be divided for valid checking of the model geometry, feature matching, and feature relationship. Since the extracted features include abundant geometry and engineering information, they will be effective for downstream application such as feature rebuilding and stamping process planning.

Lysine crotonylation is a recently discovered post-translation modification involved in transcription regulation, cell signal transduction, and other processes. Scientists have identified several crotonylases and decrotonylases of histones, including P300/CBP, HDACs, and SIRTs. However, the regulation of non-histone protein crotonylation remains unclear. In the current study, we verified that crotonylation was upregulated in hypoxia and promoted liver cancer cell growth. We performed TMT-labeled quantitative lysine crotonylome analysis in 12 pairs of hepatocellular carcinoma and adjacent liver tissue and identified 3,793 lysine crotonylation sites in 1,428 proteins. We showed that crotonylation of lamin A at the site of K265/270 maintains its subcellular position, promotes liver cancer cell proliferation, and prevents cellular senescence. Our data indicate that HDAC6 is the decrotonylase of lamin A and downregulated in response to hypoxia, resulting in lamin A K265/270cr. Taken together, our study reveals the lamin A crotonylation in liver cancer progression and fills the research gap in non-histone protein crotonylation function.

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