This study applies two variables in the measurement of company patent deployment strategies: patent family depth and earn plan ratio. Patent family depth represents the degree to which certain fields and markets are valued by the patent owner. Earn plan ratio defined as the ratio of the number of patent forward citations to patent family size. Earn plan ratio indicates the degree to which a patent family could be cited by later innovators and competitors. This study applies a logistic regression model in the analysis LED industry data. The results demonstrate that patent value has a positive relationship with the patent family depth, and earn plan ratio.
[Zhang, Sifei] Wuhan Univ, Inst Dev Cent China, Wuhan 430072, Peoples R China.
This study employs a panel threshold regression model to test whether the patent h–index has a threshold effect on the relationship between patent citations and market value in the pharmaceutical industry. It aims to bridge the gap in extant research on this topic. This study demonstrates that the patent h–index has a triple threshold effect on the relationship between patent citations and market value. When the patent h–index is less than or equal to the lowest threshold, 4, there is a positive relationship between patent citations and market value. This study indicates that the first regime (where the patent h–index is less than or equal to 4) is optimal, because this is where the extent of the positive relationship between patent citations and market value is the greatest.
International Psychogeriatrics,2019年32(2):1-11 ISSN：1041-6102
[Sun, Fei; Lee, Jaewon] Michigan State Univ, Sch Social Work, E Lansing, MI 48824 USA.;[Li, Wanlian] Hunan Agr Univ, Sch Publ Management, Coll Publ Adm & Law, Nongda Rd, Changsha 410125, Hunan, Peoples R China.;[Jiang, Lin] Univ Texas Rio Grande Valley, Dept Social Work, Edinburg, TX USA.
School of Public Management, College of Public Administration and Law, Hunan Agricultural University, Nongda Rd, Furong Qu, Changsha City, Hunan Province, China
INFORMATION PROCESSING & MANAGEMENT,2020年57(2):102177- ISSN：0306-4573
[Li, Shiyue] Tsinghua Univ, Sch Humanities, Beijing, Peoples R China.;[Li, Yanling; Liu, Zixuan] Hunan Agr Univ, Coll Publ Adm & Law, Room North 318,Tenth Bldg,1 Nongda Rd, Changsha 410128, Hunan, Peoples R China.;[Li, Yanling] Nanyang Technol Univ, Coll Humanities Arts & Social Sci, Singapore, Singapore.
Emergency;Online public sentiment;Space-time evolution;Social network analysis;Complex system simulation
The transmission of online emergency information has become an active means of expressing public opinion and has vitally affected societal emergency response techniques. This paper analyzes interactions between three groups in time and space using a classic SIR (susceptible, infected, and recovered) epidemic model. Through social network theory and analog simulation analysis, we utilize data from China's Sina Weibo (a popular social media platform) to conduct empirical research on 101 major incidents in China that occurred between 2010 and 2017. We divide these emergencies into four types—natural disasters, accidents, public health events, and social security events—and conduct a simulation using three examples from each group. The results show that government control of public opinion is both cheaper and more effective when it occurs at the initial stages of an incident. By cooperating with the government, the media can facilitate emergency management. Finally, if netizens trust the government and the media, they are more likely to make cooperative decisions, maintain interest, and improve the management of online public sentiment.
Community cohesion;Community support network size;Depressive symptoms;Rural-urban migrant workers
This study aimed to examine depressive symptoms in ruralurban migrant workers in mainland China, with a focus on the moderating roles of community factors (i.e., community support network, community cohesion and community composition) in the relation between work stress and depressive symptoms. This study used secondary data from a national representative study conducted by the Social Survey Center at SUN-YETSEN University of China in 2014. The final sample contained 1434 participants from 29 provinces of China (Mean age = 36.47, SD = 11.91). Being female, lower self-rated health, lower levels of self-rated class, lower levels of community cohesion and higher work stress were related to higher depressive symptoms. Community cohesion was found to lessen the migrant workers depressive symptoms but was not identified as a moderator for work stress and depressive symptoms. Community supportive networks moderated the relation between work stress and depressive symptoms. Rural-urban migrant workers in China experienced high work stress and high depressive symptoms. Public health policies or programs should help expand and strengthen migrant workers' supportive network size, and facilitate the creation of community cohesion to lessen depressive symptoms.
With the expansion of the enrollment scale of colleges and universities, the entrepreneurial situation of college students has become increasingly severe. The government-school linkage mechanism of college students' entrepreneurship is studied based on fuzzy decision tree algorithm, a fuzzy decision tree algorithm for college students' entrepreneurship is proposed, and this algorithm is used to establish and test the government to promote the protection mechanism, adjust the teaching reform in schools, and establish active adjustment. Mechanisms, the two linked together, the establishment of government-university linkage, and jointly promote college students start business, so as to effectively solve the problem of college students' entrepreneurial difficulties. The results show that: the fuzzy decision tree algorithm is introduced into the employment data mining of colleges and universities to solve the problems of data ambiguity and uncertainty.