Background:Home advantage(HA) is well documented in a wide range of team sports including association football(soccer).Although much attention has been paid to differences in the overall magnitude of HA between footba...Background:Home advantage(HA) is well documented in a wide range of team sports including association football(soccer).Although much attention has been paid to differences in the overall magnitude of HA between football competitions and across time,few studies have investigated HA at the team level.Methods:A novel method of estimating HA for individual teams,based solely on home performance,was used to compare HA between the highest performing teams and countries in the Union of European Football Associations(UEFA) Champions League over a 10-year period(2003/2004 to 2012/2013).Away disadvantage(AD) was also estimated based on each team's performance away from home.Poisson regression analysis was used to estimate covariate adjusted HA and AD in terms of the percentage of goals scored at home(HA) and conceded away from home(AD).Results:When controlling for differences in team ability,HA did not vary significantly between the 13 selected teams.There was evidence(p < 0.1),however,of between-team variation in AD,ranging from 45%(away advantage) to 68%(away disadvantage).When teams were grouped into the 11 selected countries,both HA and AD varied significantly(p < 0.02) between countries:HA ranged from 52% for Turkish teams to 70%for English teams,while AD ranged from 52%(France) to 67%(Turkey).Conclusion:Differences in style of play and tactical approaches to home and away matches may explain some of the variation in HA and AD between teams from different countries.展开更多
The prime aim of this study was to find a psychological process model of patients with terminally ill in home hospice investigating the contents of a narrative, and the secondary aim was to create a narrative approach...The prime aim of this study was to find a psychological process model of patients with terminally ill in home hospice investigating the contents of a narrative, and the secondary aim was to create a narrative approach program for nurses. Ten patients narrated their thinking or feelings along with some prepared questions in two sessions. Patients’ narrative data were categorized by a qualitative analysis and 34 categories were chosen. They perceived good points in home hospice like “Being able to spend time freely”, “Close relationships with care staffs and strong confidence”, though they perceived trouble points like “Suffering from putting burden on the people around me” or “Worries about economic problems”. They perceived psychological changes through illness like “Having peace of mind and becoming kind” “Desire for a natural death”. Moreover they perceived their life like “Acceptance of one’s life including illness” “My life lived with satisfaction”. They regarded as important things such as “Spending life time usefully” “Feelings of my family members and of those around me”, and as hopes “Hope to leave my living proof” “Living left time to the fullest”. From these categories, we propose an acceptance model of patients’ life and a narrative program for nurses.展开更多
The Information Technology at Home has caught the attention of various industries such as IT,Home Appliances,Communication,and Real Estate.Based on the information technology acceptance theories and family consumption...The Information Technology at Home has caught the attention of various industries such as IT,Home Appliances,Communication,and Real Estate.Based on the information technology acceptance theories and family consumption behaviors theories,this study summarized and analyzed four key belief variables i.e.Perceived Value,Perceived Risk,Perceived Cost and Perceived Ease of Use,which influence the acceptance of home information technology.The study also summaries three groups of external variables.They are social,industrial,and family influence factors.The social influence factors include Subjective Norm;the industry factors include the Unification of Home Information Technological Standards,the Perfection of Home Information Industry Value Chain,and the Competitiveness of Home Information Industry;and the family factors include Family Income,Family Life Cycle and Family Educational Level.The study discusses the relationship among these external variables and cognitive variables.The study provides Home Information Technology Acceptance Model based on the Technology Acceptance Model and the characteristics of home information technology consumption.展开更多
文摘Background:Home advantage(HA) is well documented in a wide range of team sports including association football(soccer).Although much attention has been paid to differences in the overall magnitude of HA between football competitions and across time,few studies have investigated HA at the team level.Methods:A novel method of estimating HA for individual teams,based solely on home performance,was used to compare HA between the highest performing teams and countries in the Union of European Football Associations(UEFA) Champions League over a 10-year period(2003/2004 to 2012/2013).Away disadvantage(AD) was also estimated based on each team's performance away from home.Poisson regression analysis was used to estimate covariate adjusted HA and AD in terms of the percentage of goals scored at home(HA) and conceded away from home(AD).Results:When controlling for differences in team ability,HA did not vary significantly between the 13 selected teams.There was evidence(p < 0.1),however,of between-team variation in AD,ranging from 45%(away advantage) to 68%(away disadvantage).When teams were grouped into the 11 selected countries,both HA and AD varied significantly(p < 0.02) between countries:HA ranged from 52% for Turkish teams to 70%for English teams,while AD ranged from 52%(France) to 67%(Turkey).Conclusion:Differences in style of play and tactical approaches to home and away matches may explain some of the variation in HA and AD between teams from different countries.
文摘The prime aim of this study was to find a psychological process model of patients with terminally ill in home hospice investigating the contents of a narrative, and the secondary aim was to create a narrative approach program for nurses. Ten patients narrated their thinking or feelings along with some prepared questions in two sessions. Patients’ narrative data were categorized by a qualitative analysis and 34 categories were chosen. They perceived good points in home hospice like “Being able to spend time freely”, “Close relationships with care staffs and strong confidence”, though they perceived trouble points like “Suffering from putting burden on the people around me” or “Worries about economic problems”. They perceived psychological changes through illness like “Having peace of mind and becoming kind” “Desire for a natural death”. Moreover they perceived their life like “Acceptance of one’s life including illness” “My life lived with satisfaction”. They regarded as important things such as “Spending life time usefully” “Feelings of my family members and of those around me”, and as hopes “Hope to leave my living proof” “Living left time to the fullest”. From these categories, we propose an acceptance model of patients’ life and a narrative program for nurses.
文摘The Information Technology at Home has caught the attention of various industries such as IT,Home Appliances,Communication,and Real Estate.Based on the information technology acceptance theories and family consumption behaviors theories,this study summarized and analyzed four key belief variables i.e.Perceived Value,Perceived Risk,Perceived Cost and Perceived Ease of Use,which influence the acceptance of home information technology.The study also summaries three groups of external variables.They are social,industrial,and family influence factors.The social influence factors include Subjective Norm;the industry factors include the Unification of Home Information Technological Standards,the Perfection of Home Information Industry Value Chain,and the Competitiveness of Home Information Industry;and the family factors include Family Income,Family Life Cycle and Family Educational Level.The study discusses the relationship among these external variables and cognitive variables.The study provides Home Information Technology Acceptance Model based on the Technology Acceptance Model and the characteristics of home information technology consumption.