相分离法在核电厂一回路溶解氢测定中的应用

文章建立了用相分离测定反应堆冷却水中溶解氢的方法,该方法以氮气作为载气,通过水样减压、氮气鼓泡,将反应堆冷却水中溶解氢转化到气相中,再用气相色谱测定,间接得出反应堆冷却水中溶解氢的浓度,适用于反应堆水样的分析。     

基于方向梯度直方图属性空间的局部放电模式识别改进算法

该文提出一种基于方向梯度直方图(HOG)属性空间的局部放电模式识别改进算法,旨在提高特征对样本信息的概括能力,并克服分类器对高维特征的识别局限.首先,构造局部放电脉冲序列分布(PRPS)模式作为识别依据,利用局部细分叠加窗口滑移的迭代算法自动化构建PRPS图像的HOG属性空间;然后,通过线性变换协方差矩阵的方式重构HOG属性空间,使其满足相互独立性;接着,根据属性重要性重新排列空间后,依次增加输入朴素贝叶斯分类器的属性个数,基于分类精度搜索最佳属性子集;最后,按照归约属性的相对重要性进行加权,最终设计出HOG属性选择加权朴素贝叶斯分类器.大量样本测试结果证明,此算法能够达到很高的识别精度,对传统识别算法的优化效果明显,有较好的应用价值.     

The Potential Toxic Side Effects of Flavonoids

Flavonoids are a class of phytochemical molecules abundant in many plants, fruits, vegetables, and leaves. Flavonoids possess a series of significant biological activities, including anticancer, antioxidant, antiviral, and antiinflammatory properties. They become an important source of dietary supplements and natural health products. Though many studies confirmed the safety of flavonoids, the potential toxicity of flavonoids is still a remarkable field of research to be explored. The enthusiasm for flavonoids expressed by the public has sometimes overlooked their toxicity and also consumed the flavonoids exceeding the body requirements. The current review focused on the potential toxicity of flavonoids to make the public consume flavonoids with caution. This review summarizes the current toxicity which has been reported in vivo and in vitro experiments. The toxicity involves carcinogenicity and mutation, liver and kidney toxicity, and the influence on the thyroid and reproductive function and intestinal flora disorders. The mechanism of toxicity is fully complicated, and current evidence indicates that natural flavonoid glycosides act on different targets with different doses in vivo and in vitro experiments. Though most kinds of flavonoids are considered safe, flavonoids proposed as food supplements need to be assessed their tolerable upper intake level as there have been reports of toxic flavonoids.     

An integrated bioinformatics analysis and experimental study identified key biomarkers CD300A or CXCL1, pathways and immune infiltration in diabetic nephropathy mice

Diabetic nephropathy (DN) is a common microvascular complication that easily leads to end-stage renal disease. It is important to explore the key biomarkers and molecular mechanisms relevant to diabetic nephropathy (DN). We used highthroughput RNA sequencing to obtain the genes related to DN glomerular tissues and healthy glomerular tissues of mice. Then we used LIMMA to analyze differentially expressed genes (DEGs) between DN and non-diabetic glomerular samples. And we performed KEGG, gene ontology functional (GO) enrichment, and gene set enrichment analysis to reveal the signaling pathway of the disease. The CIBERSORT algorithm based on support vector machine was used to determine the immune infiltration score. Random forest algorithm and Cytoscape obtained hub genes. Finally, we applied co-staining, immunohistochemical staining, RT-qPCR and western blotting to validate the protein and mRNA expression of both hub genes. We obtained 913 DEGs mainly related to inflammatory factors and immunity. GSEA results showed that differential genes were mainly enriched in IL-17 signaling pathway, lipid and atherosclerosis, rheumatoid arthritis, TNF signaling pathway, neutrophil extracellular trap formation, Staphylococcus aureus infection and other pathways. The intersection of the random forest algorithm and Cytoscape revealed both hub genes of CD300A and CXCL1. Experiments have shown that the both key genes of CD300A and CXCL1 shown increased expression in glomerular podocytes, and are related to the inflammation of diabetic nephropathy. And immunohistochemical staining and RT-qPCR further confirmed that the protein and mRNA expression level of CD300A or CXCL1 in glomeruli tissue in DN mice were increased. The expression levels of CD300A and CXCL1 increased significantly under HG (high glucose) stimulation, further confirming that diabetes can lead to increased levels of CD300A and CXCL1 at the cellular level. Through bioinformatics analysis, machine learning algorithms, and experimental research, CD300A and CXCL1 are confirmed as both potential biomarkers in diabetic nephropathy. And we further revealed the main pathways of differential genes and the differentially distributed immune infiltrating cells in diabetic nephropathy.     

非均质煤层瓦斯分布特征及钻孔抽采瓦斯运移规律研究

为了提高煤矿瓦斯抽采率，节约瓦斯抽采时间，分析了非均质煤层瓦斯分布特征及钻孔抽采瓦斯运移规律，采用透气性系数研究了非均质煤层瓦斯压力分布特点；分析了非均质煤层单钻孔瓦斯压力分布、原始瓦斯压力、原始透气性系数对有效抽采半径的影响。研究对指导现场瓦斯抽采以及促进煤矿安全生产具有重要意义。     

微形电机机壳16工步连续级进弯曲模结构设计

针对微形电机机壳采用板料卷圆生产的工艺要求,设计了一种7工位连续冲裁、6工位连续弯曲冲裁、单工位落料的16工步的360°卷圆成形连续级进模。模具整体工序包括连续冲裁、连续弯曲冲裁和冲裁落料3道工序。针对壳件的成形特征,采用1个工位冲出定位孔,6个工位对壳体上的9个特征进行连续冲裁成形及倒角成形;针对壳件的弯曲成形,采用6个工位对冲裁壳体进行连续弯曲成形,工步中设置了3个弯曲成形机构,分别为仿形凹模机构、楔紧块驱动的双侧滑块挤压弯曲机构及接口压入成形机构,来实现壳件的360°卷圆成形;为保证后续弯曲工步载料及内圆成形,将内圆成形件设计成一种可以跟随弯曲凹模做小距离的向上浮动的成形构件。最终成形的壳件由单冲头落料,并由气缸驱动的接件圆柱进行接料转移。模具结构整体布局设计简单合理,机构设置巧妙,可为同类壳件的生产提供有益借鉴。     

AEM对EVA电缆材料性能影响的研究

应用乙烯-丙烯酸酯橡胶(AEM)与乙烯-醋酸乙烯酯共聚物(EVA)、氢氧化镁(MH)、氢氧化铝(ATH)以及沉淀法白炭黑(SiO2)进行熔融共混复合,制备出系列EVA基电缆材料。应用扫描电镜(SEM)、差示扫描量热仪(DSC)、万能试验机和极限氧指数测试仪对EVA材料的结构和性能进行表征和测试。研究结果表明,AEM明显提高了EVA电缆材料的耐油性能,当AEM含量为3. 0%时,电缆材料综合性能优良,其LOI达到39. 3%,拉伸强度和断裂伸长率分别为11. 6 MPa和142%。     

波前传感器电铸镍层应力实时检测精度评估

目的 搭建电铸应力实时检测平台，评估其测量精度，并探明电化学沉积过程中镍层平均内应力的变化规律。方法 采用横向剪切波前传感器搭建电铸应力实时检测平台，通过测量在铸层应力作用下电铸基底弯曲的曲率半径，利用Stoney公式计算铸层平均应力。采用参考球面反射镜评估横向剪切波前传感器曲率半径的测量精度，并在0.5 A/dm2电流密度下进行电铸应力实时检测实验，对铸层平均应力测量极限进行评估，同时对检测误差进行分析。结果 横向波前传感器曲率半径测量精度为99.22%，在0.5 A/dm2电流密度下，所搭建的铸层应力实时检测平台可测量的最小厚度为5.1 μm，由曲率测量波动带来的应力检测误差为1.3 MPa。实验测得铸层平均应力随铸层厚度的增加而变大，当铸层厚度达到30 μm左右，铸层平均应力趋于稳定，应力大小为79.7 MPa。同时发现，当铸层厚度小于30 μm时，沿电铸基底长度方向的铸层平均应力明显大于宽度方向铸层平均应力，随铸层厚度的增加，两个方向的应力大小趋于等值。结论 采用横向剪切波前传感器搭建的电铸应力检测平台，能有效对铸层应力进行高精度的实时测量，为精密电铸过程中应力变化规律的研究提供了检测技术基础。