Based on the overview of concept of returning-home migrant workers' entrepreneurship,the thesis has introduced the features of migrant workers' entrepreneurship,as against other types of entrepreneurship,as fo...Based on the overview of concept of returning-home migrant workers' entrepreneurship,the thesis has introduced the features of migrant workers' entrepreneurship,as against other types of entrepreneurship,as follows. Starting from a low base and multi-level perspective;conducting entrepreneurship in manifold industries,mainly in those labor-intensive enterprises;conspicuous mutual interaction and reversibility are embodied in the group characteristics;the strong driving force of returning-home migrant workers' entrepreneurship comes from their affection for hometown. The process of returning-home migrant workers' entrepreneurship can be divided into three stages,namely returning rush,investing rush,and entrepreneurship rush,on which we give the analysis respectively in terms of the continuous change of social mobility,transformation on the part of the main body of entrepreneurship,and the expansion of industry field concerning entrepreneurship. More over,we have discussed the methods of constructing the legal support system for the returning-home migrant workers' entrepreneurship. Firstly,it needs institutionalization,which is the basis of constructing the legal support system for the returning-home migrant workers' entrepreneurship;secondly,it needs definite guiding ideology as the premise of constructing the legal support system for the returning-home migrant workers' entrepreneurship;thirdly,it needs the precise orientation of target group as the key of constructing the legal support system for the returning-home migrant workers' entrepreneurship;finally,appropriate support methods are the pivot of constructing the legal support system for the returning-home migrant workers' entrepreneurship.展开更多
Harmonic analysis, the traditional tidal forecasting method, cannot take into account the impact of noncyclical factors, and is also based on the BP neural network tidal prediction model which is easily limited by the...Harmonic analysis, the traditional tidal forecasting method, cannot take into account the impact of noncyclical factors, and is also based on the BP neural network tidal prediction model which is easily limited by the amount of data. According to the movement of celestial bodies, and considering the insufficient tidal characteristics of historical data which are impacted by the nonperiodic weather, a tidal prediction method is designed based on support vector machine （SVM） to carry out the simulation experiment by using tidal data from Xiamen Tide Gauge, Luchaogang Tide Gauge and Weifang Tide Gauge individually. And the results show that the model satisfactorily carries out the tide prediction which is influenced by noncyclical factors. At the same time, it also proves that the proposed prediction method, which when compared with harmonic analysis method and the BP neural network method, has faster modeling speed, higher prediction precision and stronger generalization ability.展开更多
This article explores the use of social networks by workers in Abidjan, Côte d’Ivoire, with particular emphasis on a descriptive or quantitative analysis aimed at understanding motivations and methods of use. Mo...This article explores the use of social networks by workers in Abidjan, Côte d’Ivoire, with particular emphasis on a descriptive or quantitative analysis aimed at understanding motivations and methods of use. More than five hundred and fifty questionnaires were distributed, highlighting workers’ preferred digital channels and platforms. The results indicate that the majority use social media through their mobile phones, with WhatsApp being the most popular app, followed by Facebook and LinkedIn. The study reveals that workers use social media for entertainment purposes and to develop professional and social relationships, with 55% unable to live without social media at work for recreational activities. In addition, 35% spend on average 1 to 2 hours on social networks, mainly between 12 p.m. and 2 p.m. It also appears that 46% believe that social networks moderately improve their productivity. These findings can guide marketing strategies, training, technology development and government policies related to the use of social media in the workplace.展开更多
文摘Based on the overview of concept of returning-home migrant workers' entrepreneurship,the thesis has introduced the features of migrant workers' entrepreneurship,as against other types of entrepreneurship,as follows. Starting from a low base and multi-level perspective;conducting entrepreneurship in manifold industries,mainly in those labor-intensive enterprises;conspicuous mutual interaction and reversibility are embodied in the group characteristics;the strong driving force of returning-home migrant workers' entrepreneurship comes from their affection for hometown. The process of returning-home migrant workers' entrepreneurship can be divided into three stages,namely returning rush,investing rush,and entrepreneurship rush,on which we give the analysis respectively in terms of the continuous change of social mobility,transformation on the part of the main body of entrepreneurship,and the expansion of industry field concerning entrepreneurship. More over,we have discussed the methods of constructing the legal support system for the returning-home migrant workers' entrepreneurship. Firstly,it needs institutionalization,which is the basis of constructing the legal support system for the returning-home migrant workers' entrepreneurship;secondly,it needs definite guiding ideology as the premise of constructing the legal support system for the returning-home migrant workers' entrepreneurship;thirdly,it needs the precise orientation of target group as the key of constructing the legal support system for the returning-home migrant workers' entrepreneurship;finally,appropriate support methods are the pivot of constructing the legal support system for the returning-home migrant workers' entrepreneurship.
基金The Shanghai Committee of Science and Technology of China under contract No. 10510502800the Graduate Student Education Innovation Program Foundation of Shanghai Municipal Education Commission of Chinathe National Key Science Foundation Research "973" Project of the Ministry of Science and Technology of China under contract No. 2012CB316200
文摘Harmonic analysis, the traditional tidal forecasting method, cannot take into account the impact of noncyclical factors, and is also based on the BP neural network tidal prediction model which is easily limited by the amount of data. According to the movement of celestial bodies, and considering the insufficient tidal characteristics of historical data which are impacted by the nonperiodic weather, a tidal prediction method is designed based on support vector machine （SVM） to carry out the simulation experiment by using tidal data from Xiamen Tide Gauge, Luchaogang Tide Gauge and Weifang Tide Gauge individually. And the results show that the model satisfactorily carries out the tide prediction which is influenced by noncyclical factors. At the same time, it also proves that the proposed prediction method, which when compared with harmonic analysis method and the BP neural network method, has faster modeling speed, higher prediction precision and stronger generalization ability.
文摘This article explores the use of social networks by workers in Abidjan, Côte d’Ivoire, with particular emphasis on a descriptive or quantitative analysis aimed at understanding motivations and methods of use. More than five hundred and fifty questionnaires were distributed, highlighting workers’ preferred digital channels and platforms. The results indicate that the majority use social media through their mobile phones, with WhatsApp being the most popular app, followed by Facebook and LinkedIn. The study reveals that workers use social media for entertainment purposes and to develop professional and social relationships, with 55% unable to live without social media at work for recreational activities. In addition, 35% spend on average 1 to 2 hours on social networks, mainly between 12 p.m. and 2 p.m. It also appears that 46% believe that social networks moderately improve their productivity. These findings can guide marketing strategies, training, technology development and government policies related to the use of social media in the workplace.
