人白细胞介素-24基因的克隆、表达和纯化

目的对人白细胞介素-24(hIL-24)进行克隆、表达和纯化。方法分离人外周血单个核细胞,ConA刺激培养,提取细胞总RNA,应用RT-PCR技术从外周血单个核细胞中扩增hIL-24成熟肽编码区,定向克隆至融合表达载体pGEX-4T-1,重组载体pGEX-4T-1/hIL-24经DNA测序鉴定后,转化E.coliBL21(DE3),IPTG诱导表达,阴离子交换层析纯化融合蛋白,SDS-PAGE和Westernblot鉴定。结果所得hIL-24基因经序列分析,与GenBank公布一致。所构建融合表达载体pGEX-4T-1/hIL-24测序正确,转化BL21(DE3)后,37℃诱导表达相对分子质量约为44000的融合蛋白,主要以包涵体形式存在,占菌体总蛋白的30.63%。经纯化后,纯度达85%以上。Westernblot检测能与兔抗人IL-24的多克隆抗血清发生结合反应。结论已成功构建了hIL-24的融合表达载体pGEX-4T-1/hIL-24,并在大肠杆菌中高效表达,纯化后获得了高纯度的融合蛋白,为hIL-24的功能及活性研究奠定基础。     

HBsAg/GM-CSF融合蛋白的克隆及其在毕赤酵母中的表达

目的在毕赤酵母中表达HBsAg/GM-CSF融合蛋白。方法利用PCR扩增HBsAg和GM-CSF基因,通过15个氨基酸的连接肽将两个片段连接,获得融合基因S-GM,克隆入酵母穿梭质粒pPIC9K中。将重组质粒9K-S-GM电转化毕赤酵母后,G418筛选,甲醇诱导,HBsAg/GM-CSF融合蛋白表达。经SDS-PAGE检测表达水平,Western blot检测表达产物特异性。结果PCR扩增的片段与预期大小一致,HBsAg/GM-CSF融合蛋白在毕赤酵母中获得了表达。Western blot检测,该融合蛋白同时具有HBsAg和GM-CSF的特异性。结论该融合蛋白的获得为提高乙肝疫苗的免疫原性奠定了科学基础。     

交互医学图像处理平台的研制

医学图像处理是一门包含大量的数学、图像处理知识点的课程,我校不同专业对此门课程的要求不一,导致教、学环节存在一定的困难,根据我校三区一园的格局,以医学图像处理基本功能模块为基础,辅以Matlab、C++混合编程,开发了可远程访问的交互医学图像处理平台[1],可根据不同专业的学习各取所需,各有侧重,实现同一平台,多种应用,并以水平集分割为例详细介绍了平台的使用,并经我校生物医学工程专业学生试用,效果良好。     

DEAR-MULSEMEDIA: Dataset for emotion analysis and recognition in response to multiple sensorial media

Traditionally, emotion recognition is performed in response to stimuli that engage either one (vision: image or hearing: audio) or two (vision and hearing: video) human senses. An immersive environment can be generated by engaging more than two human senses while interacting with multimedia content and is known as MULtiple SEnsorial media (mulsemedia). This study aims to create a new dataset of multimodal physiological signals to recognize emotions in response to such content. To this end, four multimedia clips are selected and synchronized with fan, heater, olfaction dispenser, and haptic vest to augment cold air, hot air, olfaction, and haptic effects respectively. Furthermore, physiological responses including electroencephalography (EEG), galvanic skin response (GSR), and photoplethysmography (PPG) are observed to analyze human emotional responses while experiencing mulsemedia content. A t-test applied using arousal and valence scores show that engaging more than two human senses evokes significantly different emotions. Statistical tests on EEG, GSR, and PPG responses also show a significant difference between multimedia and mulsemedia content. Classification accuracy of 85.18% and 76.54% is achieved for valence and arousal, respectively, using K-nearest neighbor classifier and feature-level fusion strategy.     

降低冷轧钢种结晶器液面波动的工艺实践

结合马钢四钢轧实际生产情况,分析了影响结晶器液面波动的主要原因为塞棒吹氩量和鼓肚。通过采取降低塞棒吹氩量,增加二冷水量,优化保护渣性能以及保证扇形段对中精度等工艺措施后,结晶器液面波动标准差由2.52mm降低为1.36mm,从而达到提高冷轧产品质量的目的。     

储油罐人工检尺装置优化改进

针对坪北经理部储油罐人工检尺装置(以下简称量油管)在实际使用过程中出现的问题,对原有的量油管进行优化改造,成功推广应用新的量油管。改造后的量油管在使用过程中真实的反映储油罐中原油含水率、界位、液位的实际情况,以及储油罐中原油的实际品质,取得了较好的使用效果。     

高强度复合材料整铸辙叉前期研究

辙叉是线路上工作条件最为严峻的轨道部件之一。用高强度复合材料整铸的辙叉替代普通辙叉的研究具有重要意义。以ＰＤ３钢轨钢作为基体材料，在其表面熔合上一层新型具有更好耐磨性能的材质。新材料１、新材料２分别在ＰＤ３基础上把Ｖ的含量提高到０．１５％～０．２５％和０．３５％～０．４５％。采用合适的工艺措施，使新材料１、２与ＰＤ３轨道钢很好地熔合在一起。它们的σｂ、ａｋ、δ、τｂ均不低于ＰＤ３，而Ｈｖ却有了提高。     

转炉炼钢氧枪枪位自动控制专家系统的实验室研究

在转炉造渣过程中，渣中FeO的含量直接影响到石灰的溶解速度、造渣途径和炉渣的喷溅、返干，在泡沫渣淹没吹炼状态下，调整氧枪枪位可有效地控制渣中FeO的含量。音平控渣系统，可以给出喷溅、返干的趋势，在此基础上，开发氧枪枪位自动控制专家系统，对喷溅、返干进行预测，采用自学习技术给出枪拉操作提示。此系统为氧枪自动控制奠定了基础。     

伺服控制系统键盘扫描程序的处理

针对传统的键盘扫描方法影响电机运行的平稳性和运行的控制精度的问题，对键盘的扫描处理方法进行了改进，解决了键盘扫描中消除抖动的延时问题，同时也可以在微秒的级别上控制键盘的灵敏度。     

Learning to rank academic experts in the DBLP dataset

Expert finding is an information retrieval task that is concerned with the search for the most knowledgeable people with respect to a specific topic, and the search is based on documents that describe people's activities. The task involves taking a user query as input and returning a list of people who are sorted by their level of expertise with respect to the user query. Despite recent interest in the area, the current state‐of‐the‐art techniques lack in principled approaches for optimally combining different sources of evidence. This article proposes two frameworks for combining multiple estimators of expertise. These estimators are derived from textual contents, from graph‐structure of the citation patterns for the community of experts and from profile information about the experts. More specifically, this article explores the use of supervised learning to rank methods, as well as rank aggregation approaches, for combining all of the estimators of expertise. Several supervised learning algorithms, which are representative of the pointwise, pairwise and listwise approaches, were tested, and various state‐of‐the‐art data fusion techniques were also explored for the rank aggregation framework. Experiments that were performed on a dataset of academic publications from the Computer Science domain attest the adequacy of the proposed approaches.