运输包装设计过程探讨

本文根据缓冲包装五步设计法,包装设计的目的(保护产品、方便储运、促进销售),运输包装的基本要求,探讨了运输包装的设计过程.     

微乳液介质中5''-硝基水杨基荧光酮光度法测定微量锰

研究了在混合微乳液介质中 ,Mn(Ⅱ) - 5’ -硝基水杨基荧光酮 (5’ -NSF)的显色反应 ,在pH =9.5～ 10 .5的硼砂缓冲体系中 ,Mn(Ⅱ)与 5’ -NSF形成 1∶2的紫红色配合物 ,ε548=1.4 4× 10 5L·mol- 1 ·mL- 1 ,锰质量浓度在 0～ 0 .2 8mg·L- 1 范围内服从比尔定律。该方法用于岩石矿物及水中微量锰的测定 ,结果满意     

The concentration quenching characteristics of ~5D_3-~7F_J and ~5D_4-~7F_J (J=0―6) transitions of Tb~(3 ) in YBO_3:Tb~(3 ) phosphor

The photoluminescence quenching behaviors of 5D3-7FJ and 5D4-7FJ (J = 0―6) transitions of Tb3 in YBO3:Tb under 130―290 nm excitation were systematically investigated. The results revealed that the quenching concentrations of both 5D3-7FJ and 5D4-7FJ transitions of Tb3 in YBO3:Tb were mainly de-pendent on excitation wavelength. Particularly,the quenching concentrations of 5D4-7FJ transitions of Tb3 under 130―290 nm excitation were correlated with excitation bands of YBO3:Tb. The quenching concentrations of 5D3-7FJ transitions remained at low concentration (2%) under 186―290 nm excitation and then increased gradually with energy of incoming excitation photon when excited at 130―186 nm. This dependence should be involved in their excitation mechanisms and quenching pathway in particular excitation region.     

人工神经网络紫外分光光度法同时测定苯和甲苯

应用三层ANN_BP网络解析苯和甲苯的吸收光谱 ,不经分离 ,用紫外分光光度法同时测定苯和甲苯 .使用改进的BP算法 ,避免了神经网络学习过程中可能产生的麻痹现象 ,提出了目标向量的简单变换方法及便于网络参数选择的收敛评价函数 .实验验证了方法的有效性 ,同时表明 ,苯在 0 - 72 0mg/L和甲苯在 0 - 84 0mg/L范围内服从比尔定律     

Purification of platelet-derived endothelial cell growth inhibitor and its characterization as transforming growth factor-β type 1

In 1986, Brown and Clemmons (Proc. natl Acad. Sci. USA83 (1986) 3321) showed that platelets contain a substance, platelet-derived growth inhibitor (PDGI), that inhibits in vitro endothelial cell replication. Although platelets are rich in transforming grwoth factor (TGF-), PDGI was considered not to be related to TGF-, on the basis of its reported properties (extraction from platelets at neutral pH, binding to heparin-Sepharose). However, we purified PDGI to near homogeneity and showed that on the basis of HPLC retention behavior, in vitro growth inhibitory activities with several cell types, receptor binding, and immunoneutralization of growth inhibitory activity with specific anti-TGF- type 1 antibodies, PDGI is most probably identical with TGF- type 1.     

Flow-induced release of adenosine 5′-triphosphate from endothelial cells of the rat mesenteric arterial bed

Adenosine 5-triphosphate (ATP) was released into the perfusate of rat isolated mesenteric arterial beds during each of two consecutive increases in flow. There was no significant difference between the amounts of ATP released on each occasion. Substance P was also released into the perfusate by increased flow, although its release was more variable. Removal of the endothelium of the mesenteric vessels with sodium deoxycholate led to a significant reduction (74%) in the amount of ATP released compared with the release before the endothelium had been removed. This suggests that the ATP released into the mesenteric arterial perfusate during increased flow arises from endothelial cells.     

Determination of erythrocyte pyrimidine 5′-nucleotidase activity by31P nuclear magnetic resonance: Comparison of normal controls and multiple sclerosis patients

Summary A technique to assay erythrocyte pyrimidine 5-nucleotidase activity in situ using³¹P nuclear magnetic resonance spectroscopy is presented. The assay is chemically specific, simple and applicable to untreated lysates. A comparison of enzyme levels in normal controls and in multiple sclerosis patients employing the assay yielded no significant differences between both groups. Difficulties encountered in the quantitative analysis of the assay using¹H-NMR spectroscopy are briefly discussed.     

基于轻量化深度学习网络的数字仪表识别

数字式仪表常用于变电站、工厂等生产环境,是一种直观的设备监测仪器。然而当前数字式仪表的读取方式还依赖于人工巡检,手动记录等,这些传统的巡检方式来监测设备的运行状态大大降低了巡检效率。为了实现传统行业的数字化转型,本文提出基于轻量化深度学习的数字仪表识别方法,通过改进的YOLOv5的目标检测框架,针对数字仪表目标区域在整张图片大小不一致的情况,提出对于感兴趣区域（ROI）的迭代目标检测方法,首次检测将感兴趣区域进行检测并切割统一到相同的尺度,随后迭代检测网络针对感兴趣区域内的字符进行检测并分类,以达到精确读数的目的。为提升多尺度检测性能,本文采用Res2Net模块主干网络中的的残差模块。采用GIoU取代通用的IoU作为位置损失函数加速模型训练效果的收敛。实验表明,改进后的框架实现了99.62%的准确率和99.55%的召回率,相比基线网络分别提升了12.72%和5.85%。通过将框架在边缘计算平台上的终端部署,在实际生产中取代了人工巡检,实现了商业化运行。     

基于改进YOLOv5的遥感图像飞机目标检测

针对遥感图像中飞机检测尺寸大小不一、背景复杂导致的难以识别问题,提出一种基于YOLOv5网络模型的改进方法。首先,在YOLOv5网络模型中融入Swin-Transformer模块,使网络全局建模并使全维度信息交互,以提升网络的特征提取能力;其次,对损失函数进行优化,引入SIOU损失函数以考虑真实框和预测框之间的向量角度问题。对比实验表明,优化前后网络模型检测精度均为95.3%。在检测精度相同的情况下,改进后的网络模型召回率为91.2%,比改进前提升0.6个百分点;改进后平均检测精度mAP_0.5为95.7%,比改进前提升0.2个百分点。结果表明,改进后的YOLOv5网络模型能在一定程度上提升遥感图像中飞机目标检测性能。     

Metabolism of 3β-hydroxycholest-5-en-26-oic acid in hamsters

Summary Metabolism of 26-hydroxycholesterol to 3-hydroxychol-5-en-24-oic acid and other C24-bile acids has been expected to occur by way of 3-hydroxycholest-5-en-26-oic acid in studies in vitro. 3-Hydroxycholest-5-en-26-oic acid was infused intravenously into bile fistula hamsters and the following C24-bile acids were identified: 3-hydroxychol-5-en-24-oic acid, lithocholic acid, chenodeoxycholic acid, and a small amount of cholic acid.