Biomimetic Nanosponges Enable the Detoxification of Vibrio vulnificus Hemolysin

Vibrio vulnificus (V. vulnificus) infection-associated multiple antibiotic resistance has raised serious public health concerns. Recently, nanosponges (NSs) have been expected to provide innovative platforms for addressing antibacterial and drug-resistant challenges by targeting various pore-forming toxins (PFTs). In the present study, we constructed NSs to explore the effects and possible mechanism of recombinant V. vulnificus hemolysin (rVvhA)-induced injuries. In vitro, NSs significantly reversed rVvhA-induced apoptosis and necrosis, and improved toxin-induced intracellular reactive oxygen species (ROS) production, adenosine triphosphate (ATP) depletion, and apoptosis signaling pathway disruption. To explore the clinical translation potential of NSs, we established VvhA-induced septicemia and wound infection mouse models, respectively, and further found NSs could notably attenuate rVvhA-induced acute toxicity and septicemia-associated inflammation, as well as local tissue damage. In a conclusion, NSs showed excellent protective effects against rVvhA-induced toxicity, thus providing useful insights into addressing the rising threats of severe V. vulnificus infections.     

HA177-2A海水淡化蒸发塔结垢堵塞及清洗

某石化公司海水淡化装置的核心设备海水蒸发器,由于堵塞严重影响了装置的正常运行,分析了结垢的组成后提出了具体解决措施,在确保不损害设备的情况下进行了化学清洗.清洗效果理想,没有发生铝黄铜选择性腐蚀及点蚀,除垢率达到98%以上,达到了预期的目的.     

特柔软型钢丝铠装复合电缆设计探讨

本文主要探讨特柔软型钢丝铠装复合电缆的设计,根据特殊用户实际应用情况,设计出大拉力、超柔软钢丝铠装电缆,设计过程中不仅考虑电缆所应有的电性能,同时还要考虑电缆高强度抗张情况和应用中处于反复收放状态,而且所设计的电缆还要满足恶劣环境.     

基于期权的矿产资源采矿权估价单因素模型

矿产资源采矿权可以被认为是一个多期多阶段的复合看涨期权,在基于期权的采矿权价值形成机理研究基础上,假定无采矿权交易成本、不考虑关闭和开启矿山时的成本和矿山的永久性废弃以及利率为无风险利率,研究了矿产资源储量价值随机波动下的基于期权的矿产资源采矿权估价单因素模型,并结合一煤炭资源实例对比了收益现值法与单因素模型,发现期权估价方法较收益现值法能提高矿产资源采矿权价值。     

教育体验型文物建筑保护的可拓设计方法

研究了教育体验型文物建筑的保护设计中突出教育个性、保护教育形态和表达教育意蕴的可拓设计方法,对文物建筑保护设计具有本体论和方法论意义层面上的启示和借鉴作用,使文物建筑及其环境能更好地满足体验需求。     

Optical coherent dot-product chip for sophisticated deep learning regression

Optical implementations of neural networks (ONNs) herald the next-generation high-speed and energy-efficient deep learning computing by harnessing the technical...     

Advances and Challenges in Two?Dimensional Organic–Inorganic Hybrid Perovskites Toward High?Performance Light?Emitting Diodes

Two-dimensional (2D) perovskites are known as one of the most promising luminescent materials due to their structural diversity and outstanding optoelectronic p...