The 3-stage Clos network C（n, m, r） is considered as the most basic and popular multistage interconnection network which has been widely employed for data communications and parallel computing systems. Quite a lot o...The 3-stage Clos network C（n, m, r） is considered as the most basic and popular multistage interconnection network which has been widely employed for data communications and parallel computing systems. Quite a lot of efforts has been put on the research of the 3- stage Clos network. Unfortunately, very little is known for the multirate multicast Clos network which is the most complicated case. Firstly a sufficient condition for 1-rate multicast networks to be SNB is given, from which a result for 2-rate multicast networks to be WSNB can easily be gotten. Furthermore, by using a reservation-scheme routing, more specific result for 2-rate multicast networks to be WSNB can be obtained for the case of one of them exceeding 1/2.展开更多
This study uses a spatial 3-stage least squares approach to model interstate banking of the United States in 1994 and 2014.The method simultaneously takes into account spatial dependence,outward and inward interstate ...This study uses a spatial 3-stage least squares approach to model interstate banking of the United States in 1994 and 2014.The method simultaneously takes into account spatial dependence,outward and inward interstate banking and their interaction,and the temporal effects in interstate banking.The study shows that a healthy economic structure,an expanding market,and permissive banking legislation encourage inward interstate banking.A healthy economic structure is a basis for strong banking firms to rise and to expand in other states.Large banking institutions were dominate in outward interstate banking while smaller firm sizes tend to be associated with inward interstate banking.By 2014,large and well-capitalized banking firms from states with a healthy economic structure had expanded into states with lower income levels,and lower capital-to-labor ratios,higher labor resource use,and lower profitability in their banking industry.Evidence shows some banking geographical fragmentation remains.展开更多
The outbreak of coronavirus disease 2019(COVID-19)in Wuhan has aroused widespread concern and attention from all over the world.Many articles have predicted the development of the epidemic.Most of them only use very b...The outbreak of coronavirus disease 2019(COVID-19)in Wuhan has aroused widespread concern and attention from all over the world.Many articles have predicted the development of the epidemic.Most of them only use very basic SEIR model without considering the real situation.In this paper,we build a model called e-ISHR model based on SEIR model.Then we add hospital system and time delay system into the original model to simulate the spread of COVID-19 better.Besides,in order to take the government's control and people's awareness into consideration,we change our e-ISHR model into a 3-staged model which effectively shows the impact of these factors on the spread of the disease.By using this e-ISHR model,we fit and predict the number of confirmed cases in Wuhan and China except Hubei.We also change some of parameters in our model.The results indicate the importance of isolation and increasing the number of beds in hospital.展开更多
基金Supported by the National Natural Science Foundation of China(10371028)Specialized Research Fund for Outstanding Young Teachers in Shanghai Higher Education Institutions (RYQ307013)
文摘The 3-stage Clos network C（n, m, r） is considered as the most basic and popular multistage interconnection network which has been widely employed for data communications and parallel computing systems. Quite a lot of efforts has been put on the research of the 3- stage Clos network. Unfortunately, very little is known for the multirate multicast Clos network which is the most complicated case. Firstly a sufficient condition for 1-rate multicast networks to be SNB is given, from which a result for 2-rate multicast networks to be WSNB can easily be gotten. Furthermore, by using a reservation-scheme routing, more specific result for 2-rate multicast networks to be WSNB can be obtained for the case of one of them exceeding 1/2.
文摘This study uses a spatial 3-stage least squares approach to model interstate banking of the United States in 1994 and 2014.The method simultaneously takes into account spatial dependence,outward and inward interstate banking and their interaction,and the temporal effects in interstate banking.The study shows that a healthy economic structure,an expanding market,and permissive banking legislation encourage inward interstate banking.A healthy economic structure is a basis for strong banking firms to rise and to expand in other states.Large banking institutions were dominate in outward interstate banking while smaller firm sizes tend to be associated with inward interstate banking.By 2014,large and well-capitalized banking firms from states with a healthy economic structure had expanded into states with lower income levels,and lower capital-to-labor ratios,higher labor resource use,and lower profitability in their banking industry.Evidence shows some banking geographical fragmentation remains.
基金the National Key Research and Development Program of China(No.2018YFB1004700)the National Natural Science Foundation of China(Nos.61872238 and 61972254)+1 种基金the Shanghai Science and Technology Fund(No.17510740200)the CCF-Huawei Database System Innovation Research Plan(No.CCF-Huawei DBIR2019002A)。
文摘The outbreak of coronavirus disease 2019(COVID-19)in Wuhan has aroused widespread concern and attention from all over the world.Many articles have predicted the development of the epidemic.Most of them only use very basic SEIR model without considering the real situation.In this paper,we build a model called e-ISHR model based on SEIR model.Then we add hospital system and time delay system into the original model to simulate the spread of COVID-19 better.Besides,in order to take the government's control and people's awareness into consideration,we change our e-ISHR model into a 3-staged model which effectively shows the impact of these factors on the spread of the disease.By using this e-ISHR model,we fit and predict the number of confirmed cases in Wuhan and China except Hubei.We also change some of parameters in our model.The results indicate the importance of isolation and increasing the number of beds in hospital.
