Differently from the general online social network(OSN),locationbased mobile social network(LMSN),which seamlessly integrates mobile computing and social computing technologies,has unique characteristics of temporal,s...Differently from the general online social network(OSN),locationbased mobile social network(LMSN),which seamlessly integrates mobile computing and social computing technologies,has unique characteristics of temporal,spatial and social correlation.Recommending friends instantly based on current location of users in the real world has become increasingly popular in LMSN.However,the existing friend recommendation methods based on topological structures of a social network or non-topological information such as similar user profiles cannot well address the instant making friends in the real world.In this article,we analyze users' check-in behavior in a real LMSN site named Gowalla.According to this analysis,we present an approach of recommending friends instantly for LMSN users by considering the real-time physical location proximity,offline behavior similarity and friendship network information in the virtual community simultaneously.This approach effectively bridges the gap between the offline behavior of users in the real world and online friendship network information in the virtual community.Finally,we use the real user check-in dataset of Gowalla to verify the effectiveness of our approach.展开更多
Purpose： To evaluate the implementation of a pharmacy-led tobacco cessation medication education protocol at discharge in a community hospital. Design： Single center, retrospective quality assessment study. Methods...Purpose： To evaluate the implementation of a pharmacy-led tobacco cessation medication education protocol at discharge in a community hospital. Design： Single center, retrospective quality assessment study. Methods： A retrospective review of a pharmacy-led protocol was completed from November 2016 through April 2017. Data from one year prior to implementation of the protocol was analyzed against the study group. Results： A total of 607 tobacco cessation medication education interventions were made during the study period, 379 patients （62.4%） were given an OTC （Over The Counter） NRT （Nicotine Replacement Therapy） recommendation upon discharge and 148 （24.4%） were referred to the Ohio Tobacco Quit Line. TJC （The Joint Commission） TOB-3/3a measure was met in 44.1% of patients during the study period compared to 0% in the comparator group. Of the 75 patients who were reached via follow-up phone call, 23 （30.7%） purchased an OTC NRT and 22 （29.3%） completely quit using tobacco. Conclusions： Pharmacy-led tobacco cessation interventions during hospitalizations have a positive impact on TJC TOB-3/3a quality measure results and quit rates post-discharge. Our results encourage future studies in this area to further establish the importance of pharmacist involvement in tobacco cessation, specifically in the hospital setting.展开更多
基金National Key Basic Research Program of China (973 Program) under Grant No.2012CB315802 and No.2013CB329102.National Natural Science Foundation of China under Grant No.61171102 and No.61132001.New generation broadband wireless mobile communication network Key Projects for Science and Technology Development under Grant No.2011ZX03002-002-01,Beijing Nova Program under Grant No.2008B50 and Beijing Higher Education Young Elite Teacher Project under Grant No.YETP0478
文摘Differently from the general online social network(OSN),locationbased mobile social network(LMSN),which seamlessly integrates mobile computing and social computing technologies,has unique characteristics of temporal,spatial and social correlation.Recommending friends instantly based on current location of users in the real world has become increasingly popular in LMSN.However,the existing friend recommendation methods based on topological structures of a social network or non-topological information such as similar user profiles cannot well address the instant making friends in the real world.In this article,we analyze users' check-in behavior in a real LMSN site named Gowalla.According to this analysis,we present an approach of recommending friends instantly for LMSN users by considering the real-time physical location proximity,offline behavior similarity and friendship network information in the virtual community simultaneously.This approach effectively bridges the gap between the offline behavior of users in the real world and online friendship network information in the virtual community.Finally,we use the real user check-in dataset of Gowalla to verify the effectiveness of our approach.
文摘Purpose： To evaluate the implementation of a pharmacy-led tobacco cessation medication education protocol at discharge in a community hospital. Design： Single center, retrospective quality assessment study. Methods： A retrospective review of a pharmacy-led protocol was completed from November 2016 through April 2017. Data from one year prior to implementation of the protocol was analyzed against the study group. Results： A total of 607 tobacco cessation medication education interventions were made during the study period, 379 patients （62.4%） were given an OTC （Over The Counter） NRT （Nicotine Replacement Therapy） recommendation upon discharge and 148 （24.4%） were referred to the Ohio Tobacco Quit Line. TJC （The Joint Commission） TOB-3/3a measure was met in 44.1% of patients during the study period compared to 0% in the comparator group. Of the 75 patients who were reached via follow-up phone call, 23 （30.7%） purchased an OTC NRT and 22 （29.3%） completely quit using tobacco. Conclusions： Pharmacy-led tobacco cessation interventions during hospitalizations have a positive impact on TJC TOB-3/3a quality measure results and quit rates post-discharge. Our results encourage future studies in this area to further establish the importance of pharmacist involvement in tobacco cessation, specifically in the hospital setting.
