“互联网+”背景下高职院校化学科普教育的实践

“互联网+”的理念使科普教育的形式更具多样化。讲述了高职院校开展化学科普教育的必要性;“互联网+”背景下化学科普教育的现状;以及基于互联网理念,通过制作科普动漫视频,开发科普小游戏,建立微信群等方式开展化学科普教育的实践,并总结了在实践中取得的成效。     

微信在材料化学专业实验教学中的应用探索

随着移动互联网技术的飞速发展,传统的实验教学模式已不能完全满足当前实验教学需要。利用微信公众平台的优势,搭建了微信支持的“湖师材料化学实验”教学辅助平台,介绍了该微信平台的主要内容,并以“材料化学综合实验”课程教学为例,详细介绍了具体的实践过程。微信公众平台助推实验教学信息的发布,辅助实验课堂教学,强化实验课后讨论,有利于提高学生参与实验的积极性。     

How to Utilize my App Reviews? A Novel Topics Extraction Machine Learning Schema for Strategic Business Purposes

Acquiring knowledge about users’ opinion and what they say regarding specific features within an app, constitutes a solid steppingstone for understanding their needs and concerns. App review utilization helps project management teams to identify threads and opportunities for app software maintenance, optimization and strategic marketing purposes. Nevertheless, app user review classification for identifying valuable gems of information for app software improvement, is a complex and multidimensional issue. It requires foresight and multiple combinations of sophisticated text pre-processing, feature extraction and machine learning methods to efficiently classify app reviews into specific topics. Against this backdrop, we propose a novel feature engineering classification schema that is capable to identify more efficiently and earlier terms-words within reviews that could be classified into specific topics. For this reason, we present a novel feature extraction method, the DEVMAX.DF combined with different machine learning algorithms to propose a solution in app review classification problems. One step further, a simulation of a real case scenario takes place to validate the effectiveness of the proposed classification schema into different apps. After multiple experiments, results indicate that the proposed schema outperforms other term extraction methods such as TF.IDF and χ² to classify app reviews into topics. To this end, the paper contributes to the knowledge expansion of research and practitioners with the purpose to reinforce their decision-making process within the realm of app reviews utilization.     

树状多肽的合成及应用

树状多肽作为树枝状大分子的一种,具有不同于链状多肽的独特理化特性,在生物学领域中具有广泛的应用.本文简要综述了树状多肽的合成方法,及其在诱导免疫反应、生物分子模拟、免疫诊断试剂、人工酶、药物及基因载体等方面的应用.     

Developing a mobile app for remote access to and data analysis of spectra

Vibrational spectroscopy is a non-destructive analytical method that can be used to analyse a wide range of materials. A vibrational spectrum contains information on the chemical structure of the sample being analysed, which can be recorded rapidly. With hand held mobile device technology being considered as a relatively mature market, there is an excellent opportunity to combine vibrational spectroscopy with mobile devices for in situ analysis of samples. There are still instances where analytical instruments require being linked to desktop PC's/laptops for instrument control and data manipulation. However, mobile devices are becoming increasingly more powerful thus, enabling data manipulation on devices via cloud based technology. With desktop PC's and laptops often having a larger environment footprint than the instrumental spectrometer itself, this therefore highlights the potential for mobile spectroscopy devices. This paper reports the first development of an app (SpectralAnalyser) to enable the use of mobile devices to access and manipulate spectra and describes the different approaches and implementation issues considered during the development of apps to display spectra on Android and iOS platforms.     

利用微信公众平台加强基础化学实验室管理的探索和实践

新媒体微信公众号具有简单、便捷、精准、可持续、学生乐于接受等特点,已渗透到高校学习、生活的每一个角落,也直接影响着高校实验室的信息化建设与管理。为了提高教学实验室的科学化管理水平,本文提出了利用微信公众号构建基础化学实验室管理系统,介绍了相关的应用与实践,这将使实验室管理和实验教学突破时空的限制,提高实验室利用效率,为实验教学和人才培养提供更高水平的服务。     

公众参与、政府监管与移动应用安全治理动态演化研究

针对当前移动应用安全问题突出与政府部门缺乏有效监管的现实情境,本研究以演化博弈模型为主要理论工具,开发了不完全信息下政府部门与应用平台的动态演化博弈系统。通过雅克比矩阵求解和数值仿真模拟揭示了初始条件改变以及决策参数取值不同对演化稳定结果的影响。研究表明:当公众参与度与惩罚力度两个因子的取值位于不同的阈值区间时,系统分别呈现出三种演化稳定结果以及一种周期性的随机状态;利用公众参与同政府部门监管的互补关系,保持公众参与度处于一定阈值之上、同时加大对应用平台违规行为的惩罚力度有助于引导系统向理想状态演化。研究结论为政府部门政策制定及实施提供理论参考。     

基础化学实验中开展线上线下混合式教学的探索与实践

In order to enhance the quality of chemistry experiment courses, online teaching resources have been established, such as operation videos and course lecture videos. Moreover, online pre-lab testing system and data submitting-grading system have been developed, a WeChat public platform has been built named after "Chemistry Experiment Teaching Center of ZJU". Through these resources and platform, a mixed online/offline teaching mode was practiced in recent years, some good education aims have been achieved.     

基于DCI的近红外探针和微信小程序的便携式荧光传感平台用于ONOO- 的分析检测

该研究设计并合成了一种基于吡喃腈类（DCI）荧光衍生物的近红外探针1a用于特异性检测ONOO-。该探针本身具有橙色荧光，经ONOO- 刺激后，探针的苯硼酸频哪醇酯结构脱落，母体分子的内电荷转移（ICT）效应恢复，使得荧光发射增强，荧光颜色由橙色变为红色。此外，探针1a具有良好的选择性和抗干扰能力，检出限低至97 nmol/L。同时，通过自主开发的微信小程序“色度采集（Colorimetric acquisition）”配合探针1a评估色度与ONOO- 浓度的相关性，搭建了可对外源性ONOO- 检测效果进行智能评估的简易检测平台，该检测平台有望成为便携智能检测环境中有害物质的简易分析工具。该文利用近红外染料开发的探针1a可用于ONOO- 的检测，为智能化检测有害物质提供了新的参考。