AIM:To compare noncycloplegic and cycloplegic results of Retinomax measurements with findings achieved after cycloplegia using table-top autorefractor and retinoscopy.METHODS:The study included 127 patients(mean age96...AIM:To compare noncycloplegic and cycloplegic results of Retinomax measurements with findings achieved after cycloplegia using table-top autorefractor and retinoscopy.METHODS:The study included 127 patients(mean age96.7mo,range 21 to 221).Retinomax(Rmax)(Nikon Inc.,Japan)was used to obtain noncycloplegic refraction.Under cycloplegia,refraction was measured with Rmax,table-top autorefractor(TTR)(Nikon NRK 8000,Inc.,Japan)and retinoscopy.The values of sphere,spherical equivalent,cylinder and axis of cylinder were recorded for Rmax,TTR and retinoscopy in each eye.All results were analyzed statistically.RESULTS:The mean spheric values(SV),spherical equivalent values(SEV)and cylindrical values(CV)of the noncycloplegic Rmax(SV:0.64 D,SEV:0.65 D and CV:0.03 D,respectively)were found to be significantly lower than cycloplegic TTR(1.43 D,1.38 D and 0.3 D;P=0.012,P=0.011 and P=0.04,respectively)and retinoscopy(1.34 D,1.45 D and 0.23 D;P=0.04,P=0.002 and P=0.045,respectively).Mean cycloplegic SV,SEV,CV were not significantly different between Rmax and TTR,Rmax and retinoscopy,TTR and retinoscopy.Cycloplegic or noncycloplegic axis values were not different between any method.CONCLUSION:Rmax may be used successfully as a screening tool but may not be accurate enough for actual spectacle prescription.Cycloplegic Rmax measurements may be able to identify refractive error in children because of approximate results to retinoscopy.展开更多
The characteristics of one kind of handset antenna are analyzed by the method of moments. By using the Pocklington equation and the Galerkin method, the current distribution on the handset antenna is calculated, the i...The characteristics of one kind of handset antenna are analyzed by the method of moments. By using the Pocklington equation and the Galerkin method, the current distribution on the handset antenna is calculated, the input impedance and radiation patterns are obtained. In addition, the characteristics of monopoles mounted on conducting chassis box with different sizes are analyzed. The results show that the size of the conducting chassis box has significant effect on the performance of the handset antenna. Therefore, appropriately changing the size of the conducting chassis box may improve the performance of the handset antenna.展开更多
Background Shoulder strength evaluation is a recommended procedure in musculoskeletal rehabilitation.Aim To examine hand-held sphygmomanometer(HHS)and hand-held dynamometer(HHD)intra-and inter-rater reliability during...Background Shoulder strength evaluation is a recommended procedure in musculoskeletal rehabilitation.Aim To examine hand-held sphygmomanometer(HHS)and hand-held dynamometer(HHD)intra-and inter-rater reliability during isometric shoulder external and internal rotation strength testing in prone rotation position in asymptomatic participants,and to compare these two testing modalities.Design Reliability study.Methods A total of 20 asymptomatic participants(27.7±7.4 years;77.1±10.1 kg)attended a strength assessment consisting of HHS and HHD tests.Reliability was assessed using the intra-class correlation coefficient(ICC)with 95%confidence intervals(CI),coefficient of variation(CV)with 95%CI,and standard error of measurement(SEM).Pearson correlation and linear regression analysis were used to compare HHS and HHD testing modalities.Results“Good”to“excellent”intra(ICC range=0.896 to 0.979)and inter-rater reliability scores(ICC range=0.850 to 0.978)were displayed during both HHS and HHD tests during internal and external rotation strength assessments.Linear relationships between HHS and HHD measures were found,with coefficients of determination(R2)ranging between 0.60 and 0.79.Conclusion HHS and HHD resulted to be reliable strength assessment modalities for clinical practice.These assessment modes can be equally valid in assessing intra and inter-limb asymmetries in isometric shoulder rotation strength.The affordability and availability of HHS in ordinary clinical settings can facilitate its implementation in musculoskeletal practice.展开更多
Object recognition has many applications in human-machine interaction and multimedia retrieval. However, due to large intra-class variability and inter-class similarity, accurate recognition relying only on RGB data i...Object recognition has many applications in human-machine interaction and multimedia retrieval. However, due to large intra-class variability and inter-class similarity, accurate recognition relying only on RGB data is still a big challenge. Recently, with the emergence of inexpensive RGB-D devices, this challenge can be better addressed by leveraging additional depth information. A very special yet important case of object recognition is hand-held object recognition, as manipulating objects with hands is common and intuitive in human-human and human-machine interactions. In this paper, we study this problem and introduce an effective framework to address it. This framework first detects and segments the hand-held object by exploiting skeleton information combined with depth information. In the object recognition stage, this work exploits heterogeneous features extracted from different modalities and fuses them to improve the recognition accuracy. In particular, we incorporate handcrafted and deep learned features and study several multi-step fusion variants. Experimental evaluations validate the effectiveness of the proposed method.展开更多
文摘AIM:To compare noncycloplegic and cycloplegic results of Retinomax measurements with findings achieved after cycloplegia using table-top autorefractor and retinoscopy.METHODS:The study included 127 patients(mean age96.7mo,range 21 to 221).Retinomax(Rmax)(Nikon Inc.,Japan)was used to obtain noncycloplegic refraction.Under cycloplegia,refraction was measured with Rmax,table-top autorefractor(TTR)(Nikon NRK 8000,Inc.,Japan)and retinoscopy.The values of sphere,spherical equivalent,cylinder and axis of cylinder were recorded for Rmax,TTR and retinoscopy in each eye.All results were analyzed statistically.RESULTS:The mean spheric values(SV),spherical equivalent values(SEV)and cylindrical values(CV)of the noncycloplegic Rmax(SV:0.64 D,SEV:0.65 D and CV:0.03 D,respectively)were found to be significantly lower than cycloplegic TTR(1.43 D,1.38 D and 0.3 D;P=0.012,P=0.011 and P=0.04,respectively)and retinoscopy(1.34 D,1.45 D and 0.23 D;P=0.04,P=0.002 and P=0.045,respectively).Mean cycloplegic SV,SEV,CV were not significantly different between Rmax and TTR,Rmax and retinoscopy,TTR and retinoscopy.Cycloplegic or noncycloplegic axis values were not different between any method.CONCLUSION:Rmax may be used successfully as a screening tool but may not be accurate enough for actual spectacle prescription.Cycloplegic Rmax measurements may be able to identify refractive error in children because of approximate results to retinoscopy.
文摘The characteristics of one kind of handset antenna are analyzed by the method of moments. By using the Pocklington equation and the Galerkin method, the current distribution on the handset antenna is calculated, the input impedance and radiation patterns are obtained. In addition, the characteristics of monopoles mounted on conducting chassis box with different sizes are analyzed. The results show that the size of the conducting chassis box has significant effect on the performance of the handset antenna. Therefore, appropriately changing the size of the conducting chassis box may improve the performance of the handset antenna.
文摘Background Shoulder strength evaluation is a recommended procedure in musculoskeletal rehabilitation.Aim To examine hand-held sphygmomanometer(HHS)and hand-held dynamometer(HHD)intra-and inter-rater reliability during isometric shoulder external and internal rotation strength testing in prone rotation position in asymptomatic participants,and to compare these two testing modalities.Design Reliability study.Methods A total of 20 asymptomatic participants(27.7±7.4 years;77.1±10.1 kg)attended a strength assessment consisting of HHS and HHD tests.Reliability was assessed using the intra-class correlation coefficient(ICC)with 95%confidence intervals(CI),coefficient of variation(CV)with 95%CI,and standard error of measurement(SEM).Pearson correlation and linear regression analysis were used to compare HHS and HHD testing modalities.Results“Good”to“excellent”intra(ICC range=0.896 to 0.979)and inter-rater reliability scores(ICC range=0.850 to 0.978)were displayed during both HHS and HHD tests during internal and external rotation strength assessments.Linear relationships between HHS and HHD measures were found,with coefficients of determination(R2)ranging between 0.60 and 0.79.Conclusion HHS and HHD resulted to be reliable strength assessment modalities for clinical practice.These assessment modes can be equally valid in assessing intra and inter-limb asymmetries in isometric shoulder rotation strength.The affordability and availability of HHS in ordinary clinical settings can facilitate its implementation in musculoskeletal practice.
基金This work was supported in part by the National Basic Research 973 Program of China under Grant No. 2012CB316400, the National Natural Science Foundation of China under Grant Nos. 61322212 and 61450110446, the National High Technology Research and Development 863 Program of China under Grant No. 2014AA015202, and the Chinese Academy of Sciences Fellowships for Young International Scientists under Grant No. 2011Y1GB05. This work is also funded by Lenovo Outstanding Young Scientists Program （LOYS）.
文摘Object recognition has many applications in human-machine interaction and multimedia retrieval. However, due to large intra-class variability and inter-class similarity, accurate recognition relying only on RGB data is still a big challenge. Recently, with the emergence of inexpensive RGB-D devices, this challenge can be better addressed by leveraging additional depth information. A very special yet important case of object recognition is hand-held object recognition, as manipulating objects with hands is common and intuitive in human-human and human-machine interactions. In this paper, we study this problem and introduce an effective framework to address it. This framework first detects and segments the hand-held object by exploiting skeleton information combined with depth information. In the object recognition stage, this work exploits heterogeneous features extracted from different modalities and fuses them to improve the recognition accuracy. In particular, we incorporate handcrafted and deep learned features and study several multi-step fusion variants. Experimental evaluations validate the effectiveness of the proposed method.
