双酚A快速检测胶体金试纸的研制

为建立一种快速检测双酚A(BPA)的方法,本论文建立以胶体金为基础的免疫层析法(GICA)。首先通过BPA人工抗原免疫Balb/c小鼠,然后利用正常的杂交瘤技术制备BPA的单克隆抗体,所制备的抗体经过辛酸-硫酸铵(CA-AS)沉淀法纯化后并鉴定为IgG2b亚型。胶体金是由柠檬酸三钠还原氯金酸而制得,通过紫外扫描光谱和透射电镜检测,结果表明胶体金在530 nm有单一吸收峰、粒径约为30 nm。用其标记BPA单克隆抗体,制备金标抗体。本研究所制备的胶体金免疫层析试纸条的检测限为100 ng/mL,检测时间为10 min,交叉反应表明,试纸条和BPA的结构类似物双酚酸、任基酚和辛基酚无交叉反应,有良好的再现性。该方法能够方便、快捷、有效的检测环境中的BPA,免疫层析试纸的研制为BPA进行现场快速的检测奠定了基础。     

Research on image segmentation of Miao costume patterns based on the RSKP-UNet model北大核心CSCD

The Miao nationality is the sixth largest ethnic group in China which has a history of thousands of years. It has created a unique material culture and spiritual culture in its development process and the Miao costume is a highly condensed collection of the material and spiritual culture of the Miao nationality. As one of the unique symbols of Miao culture the Miao costume has profound cultural heritage and cultural connotations. The patterns of the Miao costume are particularly eye-catching as they not only symbolize the wisdom of the Miao people in thousands of years of production and life but also symbolize the pursuit of the good spirit of the Miao people. However under the impact of modern pop culture and foreign culture these cultural symbols are gradually disappearing. In order to protect and inherit them the Miao costume pattern segmentation has become the most important work. However the Miao costume pattern segmentation is quite difficult. At present there are few studies on the extraction classification identification and preservation of the features of Miao costume pattern segmentation. With the excellent segmentation performance of the U-Net model and the advantages of easy deployment the paper improves the basic structure of the U-Net model and proposes a Miao costume pattern segmentation algorithm based on the RSKP-UNet Residual Selective-Kernel Parallel U-Net model. The algorithm adds Residual modules in the encoder part of the U-Net model to improve the feature extraction capability of the model and embeds the SKNet modules and ParNet modules in the decoder part to enhance the feature expression capability of the model. The paper uses evaluation metrics to measure the segmentation performance of the model and compares it with four segmentation models based on deep learning. The paper not only combines the current research focus-deep learning and attention mechanism but also introduces the Lovász-hinge loss function to effectively solve the problem of class imbalance in the Miao costume patterns. The RSKP-UNet model is better than other models in various segmentation indicators. Compared with the benchmark model U-Net the Dice coefficient IoU precision recall and accuracy are improved by 6. 98% 11. 07% 2. 89% 6. 75% and 3. 92% . The segmentation algorithm proposed in this paper realizes the extraction of the element content of the Miao costume patterns through image segmentation of Miao costume patterns which can be used to build the Miao costume pattern database in this way thus helping designers relevant researchers and organizations to provide research foundation and completing the protection and inheritance of the Miao costume culture. The paper also provides some reference for the segmentation research of other minority costume patterns. © 2022 Authors. All rights reserved.     

基于注意力机制的苗族服饰图案分割

针对苗族服饰图案存在色彩差异大、样式及纹理多样性等问题,采用传统的图像分割算法进行苗族服饰图案分割,会使得一些特征空间信息丢失,导致图像分割的效率与精度较低。为此,本文提出一种基于注意力机制的苗族服饰图案分割模型,通过提取图像特征,使模型能够更好地将感兴趣的特征从局部水平关联到全局水平。同时也采用了数据增强策略,增加训练数据以提高模型泛化能力。实验结果表明,本文模型与传统语义分割网络(U-Net)和全卷积神经网络(FCN)模型相比,仅采用不到1/2的训练参数,IoU增长了14.79%和18.21%,Dice系数增长了11.03%和13.95%。因此,本文为苗族服饰图案分割算法研究提供了一种有效可行的方法。     

纤维素结合域的引入对角质酶在纤维素类纤维上吸附性能的影响

为了研究纤维素结合域（Cellulose-binding Domain,CBD）的引入对角质酶在纤维素类纤维上吸附能力的影响,本文选用漂白棉织物、粘胶纤维、醋酯纤维以及纯棉针织坯布这四种材质,对角质酶与CBD-角质酶进行吸附对比试验。研究表明：CBD结构的引入,可提高角质酶在纤维素纤维上的吸附量。但是当纤维素葡萄糖残基上羟基被部分酯化后,CBD结构的引入对吸附量造成的影响开始减弱,而当纤维素纤维表面被疏水性杂质覆盖时,CBD-角质酶对纤维素纤维的吸附能力反而降低。     

基于滴定法原理研制的氰离子浓度在线分析仪

针对金浸出工艺对氰离子浓度测定的需求,研制了溶液中氰离子浓度在线分析仪。该仪器以硝酸银滴定法为基础,对HJ484—2009法进行了一定的改进,实现了对溶液中氰离子浓度的自动在线测定。介绍了在线分析仪的测定原理、硬件以及测量过程,考察了在线分析仪的各项性能。结果表明,氰离子浓度在线分析仪运行稳定、重复性好、精密度高,分析结果与现场手工分析基本一致,加标回收率在98.1%～102.0%,可满足现场氰离子浓度在线检测的需求。     

溶液中碳酸氢根在线分析仪的研制

针对CO_2+O_2原地浸出采铀方法中碳酸氢根质量浓度的测定需求,研制了一种溶液中碳酸氢根在线分析仪。介绍了在线分析仪的测定原理、硬件和试剂配制,并对测试流程进行了详细说明。研制的在线分析仪实现了对0~2 000mg/L碳酸氢根质量浓度的测定,对在线分析仪进行的连续测试表明,仪表运行稳定,重复性好,精密度高,与现场手工分析基本一致,加标回收率在97.3%~103%,可满足现场碳酸氢根质量浓度连续、实时监测的需求。在线分析仪不仅可用于地浸采铀中碳酸氢根质量浓度的测定,还可应用于其他领域的相关测定,具有良好的实用性。     

关于服装CAPP的分析探讨

介绍了服装CAPP系统的内容及开发意义。着重讨论了服装CAPP的技术要求和实现过程 ,最后对服装CAPP的发展前景作了讨论     

一种数控玻璃切割机运动控制系统的设计

介绍了国内外运动控制系统的研究现状,以及数控玻璃切割机的机械结构和工作原理,针对数控玻璃切割机结构特点和控制功能需求,设计了一套以4轴运动控制器为核心,配合伺服电机组成数控玻璃切割机运动控制系统,并详细介绍了该运动控制系统的各部分组成。同时还设计了相应的人机交互界面,配合硬件系统使用,可以同时实现Y、Z两轴同步运动,Y、Z两轴和X轴平面插补,C轴跟随切割轨迹自动旋转,从而完成玻璃轮廓轨迹的切割加工,并提高生产加工效率。     

晨光机床掌控国际炭素装备话语权

中国历来是高精密制造设备进口国,晨光公司高档数控炭素装备生产线的高调出口,堪称我国企业界创新发展的典范。近日,地处苏中大平原扬子江畔的泰兴市晨光高新技术开发有限公司门前披红挂绿,彩旗飘扬,鞭炮齐鸣,戒     

软管泵在浮选给矿系统上的应用与改进

铅锌公司在近几年生产实践中,浮选系统一直采用自制稳压给矿箱供矿,给矿系统不均匀、不稳定,存在断流现象,通过对给矿系统考察论证,软管泵工作原理,应用后的优点,改进的技术措施等的分析,充分说明了软管泵在给矿系统中应用给公司可带来可观的经济效益和环境效益。