The article analyzes the Russo-Japanese peace treaty negotiations in 2013-2019.Despite the rapprochement in the trade,economic,political and humanitarian spheres,the territorial dispute remains an obstacle,significant...The article analyzes the Russo-Japanese peace treaty negotiations in 2013-2019.Despite the rapprochement in the trade,economic,political and humanitarian spheres,the territorial dispute remains an obstacle,significantly complicating bilateral ties.There remain disagreements on the sovereignty over the southern Kuril Islands,on acceptable conditions for resolving a territorial dispute,as well as on the significance of the territorial dispute for the development of bilateral relations.The plans for the implementation of joint economic activities on the southern Kuril Islands are also analyzed.It is concluded that Russia and Japan need to continue to build upon the result of rapprochement initiated by the leaders of the countries and continue negotiations on the peace treaty that will upgrade their relations.展开更多
Objective To explore the correlation between quantitative value of joint bone scan by single photon emission computed tomography(SPECT)and serum bone metabolic markers in patients with active rheumatoid arthritis(RA)....Objective To explore the correlation between quantitative value of joint bone scan by single photon emission computed tomography(SPECT)and serum bone metabolic markers in patients with active rheumatoid arthritis(RA).Methods Clinical data of 60 newly diagnosed RA patients were retrospectively collected in Department展开更多
With the rapid development of location-based networks, point-of-interest（POI） recommendation has become an important means to help people discover interesting and attractive locations, especially when users travel o...With the rapid development of location-based networks, point-of-interest（POI） recommendation has become an important means to help people discover interesting and attractive locations, especially when users travel out of town. However, because users only check-in interaction is highly sparse, which creates a big challenge for POI recommendation. To tackle this challenge, we propose a joint probabilistic generative model called geographical temporal social content popularity（GTSCP） to imitate user check-in activities in a process of decision making, which effectively integrates the geographical influence, temporal effect, social correlation, content information and popularity impact factors to overcome the data sparsity, especially for out-of-town users. Our proposed the GTSCP supports two recommendation scenarios in a joint model, i.e., home-town recommendation and out-of-town recommendation. Experimental results show that GTSCP achieves significantly superior recommendation quality compared to other state-of-the-art POI recommendation techniques.展开更多
文摘The article analyzes the Russo-Japanese peace treaty negotiations in 2013-2019.Despite the rapprochement in the trade,economic,political and humanitarian spheres,the territorial dispute remains an obstacle,significantly complicating bilateral ties.There remain disagreements on the sovereignty over the southern Kuril Islands,on acceptable conditions for resolving a territorial dispute,as well as on the significance of the territorial dispute for the development of bilateral relations.The plans for the implementation of joint economic activities on the southern Kuril Islands are also analyzed.It is concluded that Russia and Japan need to continue to build upon the result of rapprochement initiated by the leaders of the countries and continue negotiations on the peace treaty that will upgrade their relations.
文摘Objective To explore the correlation between quantitative value of joint bone scan by single photon emission computed tomography(SPECT)and serum bone metabolic markers in patients with active rheumatoid arthritis(RA).Methods Clinical data of 60 newly diagnosed RA patients were retrospectively collected in Department
基金supported by the National Key Project of Scientific and Technical Supporting Programs of China(2014BAK15B01)
文摘With the rapid development of location-based networks, point-of-interest（POI） recommendation has become an important means to help people discover interesting and attractive locations, especially when users travel out of town. However, because users only check-in interaction is highly sparse, which creates a big challenge for POI recommendation. To tackle this challenge, we propose a joint probabilistic generative model called geographical temporal social content popularity（GTSCP） to imitate user check-in activities in a process of decision making, which effectively integrates the geographical influence, temporal effect, social correlation, content information and popularity impact factors to overcome the data sparsity, especially for out-of-town users. Our proposed the GTSCP supports two recommendation scenarios in a joint model, i.e., home-town recommendation and out-of-town recommendation. Experimental results show that GTSCP achieves significantly superior recommendation quality compared to other state-of-the-art POI recommendation techniques.
