Media and information praxis of young activists in the Umbrella Movement

Young people were key participants in the Umbrella Movement in Hong Kong and the media also played an important role in this protest. This study examines how Hong Kong’s young activists developed communication strategies and media practices to mobilize this social movement. A framework termed “media and information praxis of social movements” is proposed for the analysis. The findings showed that in their praxis, the young activists used their media and information literacy skills to initiate, organize, and mobilize collective actions. They not only used social media and mobile networks but also traditional mass media and street booths in a holistic and integrated approach to receive and disseminate information. Hence, these young activists served as agents of mediatization. The results also indicated that the young activists moved away from the traditional movement mode which just tried to motivate a large number of people to protest in the streets. They actively engaged in the new movement mode, which emphasizes the media and information power game. Their praxis in the Umbrella Movement reflects the trend toward the mediatization of social movements in Hong Kong.     

Validation of the Chinese Version of Differentiation of Self Inventory (C‐DSI)

Although the need to develop objective assessment tools in different cultures is well‐recognized, there is a severe lack of objective measures about emotional functioning in the Chinese context. This project conducted three studies to validate the Chinese version of the Differentiation of Self Inventory (DSI). Study 1 looked at the factor structure, internal consistency, concurrent validity, and construct validity of the C‐DSI. Study 2 examined the test–retest reliability of the C‐DSI. Study 3 tested the discriminant validity of the C‐DSI in a clinical sample and in a nonclinical sample and examined its correlations with the General Contentment Scale (GCS). The study results suggested that the C‐DSI possesses good psychometric properties. Findings also indicated implications of divergent cultures and hinted at treatment implications—taking the familistic orientation and the Chinese meaning of self into consideration to understand the differentiation of self in the Chinese culture context.     

Unbalanced data classification using support vector machines with active learning on scleroderma lung disease patterns

Unbalanced data classification has been a long-standing issue in the field of medical vision science. We introduced the methods of support vector machines (SVM) with active learning (AL) to improve prediction of unbalanced classes in the medical imaging field. A standard SVM algorithm with four different AL approaches are proposed: (1) The first one uses random sampling to select the initial pool with AL algorithm; (2) the second doubles the training instances of the rare category to reduce the unbalanced ratio before the AL algorithm; (3) the third uses a balanced pool with equal number from each category; and (4) the fourth uses a balanced pool and implements balanced sampling throughout the AL algorithm. Grid pixel data of two scleroderma lung disease patterns, lung fibrosis (LF), and honeycomb (HC) were extracted from computed tomography images of 71 patients to produce a training set of 348 HC and 3009 LF instances and a test set of 291 HC and 2665 LF. From our research, SVM with AL using balanced sampling compared to random sampling increased the test sensitivity of HC by 56% (17.5% vs. 73.5%) and 47% (23% vs. 70%) for the original and denoised dataset, respectively. SVM with AL with balanced sampling can improve the classification performances of unbalanced data.     

The effects of demand,competitive, and technological uncertainty on board monitoring and institutional ownership of IPO firms

This paper considers industry-specific contingencies that may account for some of the inter-firm heterogeneity in the deployment of specific corporate governance mechanisms in IPO firms. We examine how differences in demand, competitive, and technological uncertainty in the industry influence the levels of IPO firm monitoring by board outsiders and institutional investors. We test our theory using a sample of U.S. firms that completed an IPO in 24 manufacturing industries. The results indicate that industry uncertainty is, indeed, significantly related to the use of corporate governance mechanisms. In particular, the empirical results indicate that industry effects on IPO firm board monitoring and institutional investor ownership are the strongest and most consistent for demand uncertainty and competitive uncertainty.

燃气轮机的传感器故障检测、分离和信息重构

介绍了两种燃气轮机的传感器故障检测、分离和信息重构的方法.第一种方法是基于主元分析的平方预测误差指标.本文同时采用了自组织映射神经网络的方法,在方法与结果上与主元分析的方法进行了对比和分析.传感器故障的检测由主元分析的平方预测误差指标和自组织映射神经网络的误差估计执行,贡献率图用来实行故障的分离,最后的信息重构由主元分析和自组织映射神经网络延伸的算法执行.实际工业燃气轮机的数据验证了两种方法的准确性和可行性.     

论实现共同富裕的机制

机制更具有根本性、稳定性和长期性,建立实现共同富裕的机制是实现共同富裕的根本保证。共同富裕的内在矛盾运动是实现共同富裕的动力机制,社会主义制度是实现共同富裕的保证机制,共同富裕内在因素之间的相互制约和以国家为主的外在因素对共同富裕的干预和调节是实现共同富裕的调节机制,它们之间的相互联系和相互作用推动着共同富裕的实现。     

江苏省基层卫生服务机构人员高级职称晋升现状与优化研究

通过建立江苏省基层卫生服务机构人员职称基本数据库，对全省副高及以上职称晋升状况进行结构性分析，并为下一步政策实施提出相应政策建议。研究结果表明，2009—2018年江苏省不同地区基层晋升总体情况存在一致性（P > 0.05）；基层卫生服务机构副高及以上职称通过率高于非基层卫生服务机构（P < 0.05）；2009—2018年总体晋升通过率呈下降趋势；正高级职称晋升基数、通过率均小于副高级职称晋升。江苏省内不同地区基层卫生服务机构人员总体晋升发展均衡，但是卫生人才结构不合理现象依然存在，仍需通过基层政策倾斜、助力苏北地区发展、持续推进、监督落实等举措来进一步加强基层卫生人才队伍建设。