摘要：采矿、电镀、印染、冶金等行业兴起使得有必要设计高效、便捷、经济的含锌废水处理及资源化利用方法。本文以含锌废水处理后产物——锌存在的不同化学形态为依据,将含锌废水的处理方法分为不溶态、可溶态、生物吸收态进行综述,论述不同处理工艺的处理原理、方法,并提出含锌废水多种处理技术组合应用成为趋势。

摘要：虾肝肠胞虫的传播与宿主体质和水环境有一定的关联性。温度、盐度、氨氮含量等环境因子是养殖过程中极为重要的影响因素。研究表明,过高或过低的温度、盐度对脊尾白虾的特定生长率和非特异性免疫会有较大的影响。本试验以脊尾白虾为对象,设计温度(22、24、26℃)、盐度(20、24、28)和氨氮质量浓度(2、4、6 mg/L)3因素3水平正交试验,通过为期10 d的人工感染试验,利用实时荧光定量PCR法检测不同环境因素下的虾肝肠胞虫载量,探讨温度、盐度、氨氮质量浓度3种环境因子交互作用下对虾肝肠胞虫传播的影响。试验结果表明,各试验条件下脊尾白虾体内虾肝肠胞虫载量均显著上升(P<0.05),环境因素对虾肝肠胞虫在脊尾白虾体内传播影响由大到小依次为温度、氨氮质量浓度、盐度。最适传播条件为温度24℃、氨氮质量浓度2 mg/L和盐度28,不适条件为温度26℃、氨氮4 mg/L和盐度20。笔者探明了虾肝肠胞虫传播环境条件,试验结果可为海水养殖中虾肝肠胞虫病害的防控提供数据参考。

摘要：Machine learning (ML) has been widely used todesign and develop new materials owing to its low computational cost and powerful predictive capabilities. In recentyears, the shortcomings of ML in materials science have gradually emerged, with a primary concern being the scarcity ofdata. It is challenging to build reliable and accurate ML modelsusing limited data. Moreover, the small sample size problemwill remain long-standing in materials science because of theslow accumulation of material data. Therefore, it is importantto review and categorize strategies for small-sample learningfor the development of ML in materials science. This reviewsystematically sorts the research progress of small-samplelearning strategies in materials science, including ensemblelearning, unsupervised learning, active learning, and transferlearning. The directions for future research are proposed, including few-shot learning, and virtual sample *** importantly, we emphasize the significance of embedding material domain knowledge into ML and elaborate on thebasic idea for implementing this strategy.

摘要：门一直在人类发展史上起着重要的作用,能够使人与外部环境向隔离以达到一些目的,比如说取暖,防御等重要作用.随着社会的发展,门也经历的许多变化.从最开始的木门到现在的铁门经过许多的变化,逐渐到了一个成熟的类型.但开门的机制还是以拉动门栓而到达目的的结构,还出现了许多基于电信号来控制开门的装置,比如:遥控,指纹,人脸识别等.