A new method of adaptable rendering for interaction in Virtual Environment(VE) through different visual acuity equations is proposed. An acuity factor equation of luminance vision is first given. Secondly, five equati...A new method of adaptable rendering for interaction in Virtual Environment(VE) through different visual acuity equations is proposed. An acuity factor equation of luminance vision is first given. Secondly, five equations which calculate the visual acuity through visual acuity factors are presented, and adaptive rendering strategy based on different visual acuity equations is given. The VE system may select one of them on the basis of the host’s load, hereby select LOD for each model which would be rendered. A coarser LOD is selected where the visual acuity is lower, and a better LOD is used where it is higher. This method is tested through experiments and the experimental results show that it is effective.展开更多
Dear Editor,We’re interested in the article by Mo and colleagues about＂Evaluation of hyperreflective foci as a prognostic factor of visual outcome in retinal vein occlusion＂.They performed a multiple linear regress...Dear Editor,We’re interested in the article by Mo and colleagues about＂Evaluation of hyperreflective foci as a prognostic factor of visual outcome in retinal vein occlusion＂.They performed a multiple linear regression analysis with backward elimination to analyse the association of best corrected visual acuity（BCVA）with the numbers of hyperreflective foci（HF）in different layers.展开更多
Association rule mining methods, as a set of important data mining tools, could be used for mining spatial association rules of spatial data. However, applications of these methods are limited for mining results conta...Association rule mining methods, as a set of important data mining tools, could be used for mining spatial association rules of spatial data. However, applications of these methods are limited for mining results containing large number of redundant rules. In this paper, a new method named Geo-Filtered Association Rules Mining(GFARM) is proposed to effectively eliminate the redundant rules. An application of GFARM is performed as a case study in which association rules are discovered between building land distribution and potential driving factors in Wuhan, China from 1995 to 2015. Ten sets of regular sampling grids with different sizes are used for detecting the influence of multi-scales on GFARM. Results show that the proposed method can filter 50%–70% of redundant rules. GFARM is also successful in discovering spatial association pattern between building land distribution and driving factors.展开更多
AIM： To report the real-life experience and clinical results of intravitreal ranibizumab injections to neovascular agerelated macular degeneration（nAMD） in a single institution in Turkey.METHODS： A total of 101 ey...AIM： To report the real-life experience and clinical results of intravitreal ranibizumab injections to neovascular agerelated macular degeneration（nAMD） in a single institution in Turkey.METHODS： A total of 101 eyes of 89 patients with nAMD treated with intravitreal ranibizumab injection, followed up for at least 24 mo between 2009 and June 2014, which were evaluated retrospectively. A pro re nata（PRN） treatment protocol was performed after the patients had received three, monthly loading injections. Best corrected visual acuity（BCVA） and central macular thickness measurements were evaluated at baseline and 3, 6, 12, 18, and 24 mo. Number of injections and visits were also recorded.RESULTS： Of the 89 patients, 34（38.2%） were male and 55（61.8%） were female and the mean age was 74.0±9.5（52-91）y. The mean follow-up period was 24.82±4.4（24-29）mo. Mean number of visits was 8.4±1.12（7-12） in the first year and 6.6±1.33（4-12） in the second year. The mean number of injections was 5.8±1.6（3-10） and 4.2±2.2（0-9） in the first and second year, respectively. The mean BCVA was 59±15.8 letters at baseline by the Early Treatment Diabetic Retinopathy Study（ETDRS） chart. The mean BCVA at 3, 12, and 24 mo was 70.3±15.9, 67.9±14.3 and 67.3±16.9 letters, respectively. Improvement in visual acuity for each of the visits from baseline was found to be statistically significant（P〈0.01）. Visual acuity in 9 eyes at month 3, 7 eyes at month 12, and 13 eyes at month 24 did not change. The mean central macular thickness（CMT） was 437.99±164.78 μm at baseline. The mean CMT was 348.05±138.47 μm, 349.27±139.79 μm, and 344.13±146.30 μm at months 3, 12, and 24, respectively. The decrease in CMT for each of the visits from baseline was found to be statistically significant（P〈0.01）.CONCLUSION： Anatomical and functional achievement are obtained in our study, but the mean number of injections and visits are found to be lower than the findings reported in randomized controlled clinical trials in the literature. However, the mean number of injections and visits in our study are compatible with the findings reported in real-life experience studies in the literature.展开更多
A novel method case-based reasoning was proposed for suspicious behavior recognition. The method is composed of three departs: human behavior decomposition, human behavior case representation and case-based reasoning....A novel method case-based reasoning was proposed for suspicious behavior recognition. The method is composed of three departs: human behavior decomposition, human behavior case representation and case-based reasoning. The new approach was proposed to decompose behavior into sub-behaviors that are easier to recognize using a saliency-based visual attention model. New representation of behavior was introduced, in which the sub-behavior and the associated time characteristic of sub-behavior were used to represent behavior case. In the process of case-based reasoning, apart from considering the similarity of basic sub-behaviors,order factor was proposed to measure the similarity of a time order among the sub-behaviors and span factor was used to measure the similarity of duration time of each sub-behavior, which makes the similarity calculations more rational and comprehensive.Experimental results show the effectiveness of the proposed method in comparison with other related works and can run in real-time for the recognition of suspicious behaviors.展开更多
Metro stations,as essential public spaces,not only serve as vital transportation hubs but also form part of the broader built environment that shapes people's perceptions of insecurity.An important concern for pas...Metro stations,as essential public spaces,not only serve as vital transportation hubs but also form part of the broader built environment that shapes people's perceptions of insecurity.An important concern for passengers in these environments is safety,particularly in underground public space where the design and organization of the physical surroundings play a crucial role.Despite various modern renovations in older metro stations,newer stations are generally perceived as safer.To understand this discrepancy,this research compares how visual factors in the built environments of old and new metro stations influence people's perceptions of insecurity.By examining two cities—Milan and Beijing,which follow distinct urban development models—this research also explores how differences in urbanization processes affect the contrast between old and new stations.This research introduces a novel methodology for analyzing underground public space by integrating 360-degree image capture,an enhanced semantic segmentation process,and predictive modeling using XGBoost and SHAP to reveal the complex relationships between these visual factors and safety perceptions.The results indicate that while factors like artificial light,floor,and the presence of people are significant across all stations,certain factors are particularly influential in specific contexts—for example,exposed pipes are more negatively associated with safety perception in Beijing's old stations,and platform doors have a strongly positive effect in Milan's new stations.The findings provide valuable insights for guiding the modernization of metro stations in the future,and offering an innovative approach to studying underground public space.展开更多
文摘A new method of adaptable rendering for interaction in Virtual Environment(VE) through different visual acuity equations is proposed. An acuity factor equation of luminance vision is first given. Secondly, five equations which calculate the visual acuity through visual acuity factors are presented, and adaptive rendering strategy based on different visual acuity equations is given. The VE system may select one of them on the basis of the host’s load, hereby select LOD for each model which would be rendered. A coarser LOD is selected where the visual acuity is lower, and a better LOD is used where it is higher. This method is tested through experiments and the experimental results show that it is effective.
文摘Dear Editor,We’re interested in the article by Mo and colleagues about＂Evaluation of hyperreflective foci as a prognostic factor of visual outcome in retinal vein occlusion＂.They performed a multiple linear regression analysis with backward elimination to analyse the association of best corrected visual acuity（BCVA）with the numbers of hyperreflective foci（HF）in different layers.
基金Under the auspices of Special Fund of Ministry of Land and Resources of China in Public Interest(No.201511001)
文摘Association rule mining methods, as a set of important data mining tools, could be used for mining spatial association rules of spatial data. However, applications of these methods are limited for mining results containing large number of redundant rules. In this paper, a new method named Geo-Filtered Association Rules Mining(GFARM) is proposed to effectively eliminate the redundant rules. An application of GFARM is performed as a case study in which association rules are discovered between building land distribution and potential driving factors in Wuhan, China from 1995 to 2015. Ten sets of regular sampling grids with different sizes are used for detecting the influence of multi-scales on GFARM. Results show that the proposed method can filter 50%–70% of redundant rules. GFARM is also successful in discovering spatial association pattern between building land distribution and driving factors.
文摘AIM： To report the real-life experience and clinical results of intravitreal ranibizumab injections to neovascular agerelated macular degeneration（nAMD） in a single institution in Turkey.METHODS： A total of 101 eyes of 89 patients with nAMD treated with intravitreal ranibizumab injection, followed up for at least 24 mo between 2009 and June 2014, which were evaluated retrospectively. A pro re nata（PRN） treatment protocol was performed after the patients had received three, monthly loading injections. Best corrected visual acuity（BCVA） and central macular thickness measurements were evaluated at baseline and 3, 6, 12, 18, and 24 mo. Number of injections and visits were also recorded.RESULTS： Of the 89 patients, 34（38.2%） were male and 55（61.8%） were female and the mean age was 74.0±9.5（52-91）y. The mean follow-up period was 24.82±4.4（24-29）mo. Mean number of visits was 8.4±1.12（7-12） in the first year and 6.6±1.33（4-12） in the second year. The mean number of injections was 5.8±1.6（3-10） and 4.2±2.2（0-9） in the first and second year, respectively. The mean BCVA was 59±15.8 letters at baseline by the Early Treatment Diabetic Retinopathy Study（ETDRS） chart. The mean BCVA at 3, 12, and 24 mo was 70.3±15.9, 67.9±14.3 and 67.3±16.9 letters, respectively. Improvement in visual acuity for each of the visits from baseline was found to be statistically significant（P〈0.01）. Visual acuity in 9 eyes at month 3, 7 eyes at month 12, and 13 eyes at month 24 did not change. The mean central macular thickness（CMT） was 437.99±164.78 μm at baseline. The mean CMT was 348.05±138.47 μm, 349.27±139.79 μm, and 344.13±146.30 μm at months 3, 12, and 24, respectively. The decrease in CMT for each of the visits from baseline was found to be statistically significant（P〈0.01）.CONCLUSION： Anatomical and functional achievement are obtained in our study, but the mean number of injections and visits are found to be lower than the findings reported in randomized controlled clinical trials in the literature. However, the mean number of injections and visits in our study are compatible with the findings reported in real-life experience studies in the literature.
基金Project(50808025)supported by the National Natural Science Foundation of ChinaProject(2013GK3012)supported by the Science and Technology Project of Hunan Province,China
文摘A novel method case-based reasoning was proposed for suspicious behavior recognition. The method is composed of three departs: human behavior decomposition, human behavior case representation and case-based reasoning. The new approach was proposed to decompose behavior into sub-behaviors that are easier to recognize using a saliency-based visual attention model. New representation of behavior was introduced, in which the sub-behavior and the associated time characteristic of sub-behavior were used to represent behavior case. In the process of case-based reasoning, apart from considering the similarity of basic sub-behaviors,order factor was proposed to measure the similarity of a time order among the sub-behaviors and span factor was used to measure the similarity of duration time of each sub-behavior, which makes the similarity calculations more rational and comprehensive.Experimental results show the effectiveness of the proposed method in comparison with other related works and can run in real-time for the recognition of suspicious behaviors.
基金supported by the National Natural Science Foundation of China(NSFC)(Grant No.52208039)R&D Program of Beijing Municipal Education Commission(Grant No.KM202210009008)the Australian Research Council Linkage Project(Grant No.LP190100089)。
文摘Metro stations,as essential public spaces,not only serve as vital transportation hubs but also form part of the broader built environment that shapes people's perceptions of insecurity.An important concern for passengers in these environments is safety,particularly in underground public space where the design and organization of the physical surroundings play a crucial role.Despite various modern renovations in older metro stations,newer stations are generally perceived as safer.To understand this discrepancy,this research compares how visual factors in the built environments of old and new metro stations influence people's perceptions of insecurity.By examining two cities—Milan and Beijing,which follow distinct urban development models—this research also explores how differences in urbanization processes affect the contrast between old and new stations.This research introduces a novel methodology for analyzing underground public space by integrating 360-degree image capture,an enhanced semantic segmentation process,and predictive modeling using XGBoost and SHAP to reveal the complex relationships between these visual factors and safety perceptions.The results indicate that while factors like artificial light,floor,and the presence of people are significant across all stations,certain factors are particularly influential in specific contexts—for example,exposed pipes are more negatively associated with safety perception in Beijing's old stations,and platform doors have a strongly positive effect in Milan's new stations.The findings provide valuable insights for guiding the modernization of metro stations in the future,and offering an innovative approach to studying underground public space.
