Continuous Practice-Based Research on the Use of Standardized Patients

In the past ten years, the objective structured clinical examination (OSCE) project team of the Shanghai Medical College of Fudan University has continuously conducted further study on the development and maintenance of standardized patients and their application in teaching. The team carried out a series of randomized controlled studies on the application of standardized patients in OSCEs, and obtained strong theoretical and practical results.     

地方本科院校转型职业教育发展研究——以湖北省为例

以湖北省为例,以定性和定量相结合的方法对地方本科院校如何转型职业教育发展进行深入调查和研究,从湖北省地方本科院校转型职业教育的契机分析、面临的困境和解决困境的措施三个方面进行探讨。研究认为,湖北省应抓住发展机遇,找准定位,走特色差异发展之路,以此建立现代职业教育体系。     

地铁图书馆:城市地下的流动图书馆

地铁凭借人多、便利等优势,成为公共图书馆进驻的"要地"。我国大陆地区的南京、上海、武汉,台湾地区的台北、新北、高雄,西班牙马德里、韩国首尔等城市已建立了地铁图书馆。本文调查了上述城市的地铁图书馆发展现状,归纳出四种地铁图书馆的运行模式,并对其进行对比分析,探索地铁图书馆未来稳定发展的可行性。     

浅析大学基础英语和专业英语课堂衔接的可行性和必要性

当前我国大学英语教育以基础英语EGP教学为重心,忽视了英语作为各种专业知识的辅助学习工具在各专业学习中的不同要求,没有形成基础英语和专业英语相衔接的完整有效的教学体系,使得大学英语教学没有充分发挥作用,只有将基础英语和专业英语有效结合才能达到教学效果的最优化。     

高校图书馆未成年人分级阅读推广实践研究——以四川大学图书馆"圕蒙学堂"为例

未成年人阅读推广是全民阅读推广的基础,高校图书馆在条件允许的情况下,应充分发挥校园学术文化优势,针对未成年人结合图书馆特色资源,开展有层次、有深度、有特色的未成年人阅读推广.四川大学图书馆"圕蒙学堂"未成年人阅读推广实践,即是以分级阅读为理论,借鉴国内外先进的阅读推广模式和经验,开展了多年龄层次、多知识结构、多媒体综合阅读的立体阅读活动(课程),是高校图书馆阅读推广服务深化和拓展的有益探索.     

艰苦训练 勤奋教学--记武汉杂技团《女子柔术》主教老师武颖

武颖系武汉杂技团79届杂技学员,现为武汉杂技团《女子柔术》老师,国家一级演员、国家级非遗项目“武汉杂技”市级代表性传承人。曾主演《顶碗》《椅子造型》《转碟》《集体车技》等多个杂技节目,荣获世界杂技锦标赛“黑湖塔”杯、全国杂技比赛“金狮奖”、中国武汉国际杂技艺术节“黄鹤金奖”等多项国内外重大杂技比赛金奖。     

践行十八大精神，推进高校社会主义核心价值观教育

新时期高校应积极践行十八大精神,以马克思主义的世界观、价值观、人生观武装广大师生,努力探索培育社会主义核心价值观建设的新路子,用社会主义核心价值观引领高校建设发展,推进高校社会主义核心价值观教育,努力把大学生培养成为中国特色社会主义事业的合格建设者和可靠接班人。     

生物制药实验室管理与建设的实践和探索

本文结合本校生物制药实验室,就如何提高生物制药实验室管理与建设进行探讨,从创造科学的实验环境,合理设置实验内容,创新教学方法方面谈了自己的想法以及实践中的探索,旨在能够为提高生物制药专业学生的专业素质提供一些思路和借鉴。     

基于协同创新理论的地方本科院校科研项目管理研究

随着地方本科院校承担科研项目数量的增多、科研项目类别的丰富,科技管理体系愈发完善。保证科研项目能高质量完成,促进学校科技创新体系的建设,是科研管理的一个重要职责。协同创新是当今科技创新的新范式,文章基于协同创新理论,分析了地方本科院校科研项目管理的特点与管理现状,提出地方本科院校科研项目管理协同创新的三条实现途径。     

A highly parallel microfluidic droplet method enabling single-molecule counting for digital enzyme detection

Although digital detection of nucleic acids has been achieved by amplification of single templates in uniform microfluidic droplets and widely used for genetic analysis, droplet-based digital detection of proteins has rarely been reported, largely due to the lack of an efficient target amplification method for protein in droplets. Here, we report a key step towards digital detection of proteins using a highly parallel microfluidic droplet approach for single enzyme molecule detection in picoliter droplets via enzyme catalyzed signal amplification. An integrated microfluidic chip was designed for high throughput uniform droplet generation, monolayer droplet collection, incubation, detection, and release. Single β-galatosidase (β-Gal) molecules and the fluorogenic substrate fluorescein di-β-D-galactopyranoside were injected from two separated inlets to form uniform 20 μm droplets in fluorinated oil at a frequency of 6.6 kHz. About 200 000 droplets were captured as a monolayer in a capture well on-chip for subsequent imaging detection. A series of β-Gal solutions at different concentrations were analyzed at the single-molecule level. With no enzyme present, no droplets were found to fluoresce, while brightly fluorescent droplets were observed under single-enzyme molecule conditions. Droplet fluorescence intensity distribution analysis showed that the distribution of enzyme molecules under single-molecule conditions matched well with theoretical prediction, further proving the feasibility of detecting single enzyme molecules in emulsion droplets. Moreover, the population of fluorescent droplets increased as the β-Gal concentration increased. Based on a digital counting method, the measured concentrations of the enzyme were found to match well with input enzyme concentration, establishing the accuracy of the digital detection method for the quantification of β-Gal enzyme molecules. The capability of highly parallel detection of single enzyme molecules in uniform picoliter droplets paves the way to microdroplet based digital detection of proteins.