Most of the existing virtual scenarios built for the digital protection of Chinese classical private gardens are too modern in expression style to show the aesthetic significance of their historical period.Considering...Most of the existing virtual scenarios built for the digital protection of Chinese classical private gardens are too modern in expression style to show the aesthetic significance of their historical period.Considering the aesthetic commonality between traditional Chinese landscape paintings and classical private gardens and referring to image style transfer,here,a deep neural network was proposed to transfer the aesthetic style from landscape paintings to the virtual scenario of classical private gardens.The network consisted of two parts:style prediction and style transfer.The style prediction network was used to obtain style representation from style paintings,and the style transfer network was used to transfer style representation to the content scenario.The pre-trained network was then embedded into the scenario rendering pipeline and combined with the screen post-processing method to realise the stylised expression of the virtual scenario.To verify the feasibility of this methodology,a virtual scenario of the Humble Administrator’s Garden was used as the content scenario andfive garden landscape paintings from different time periods and painting styles were selected for the case study.The results demonstrated that this methodology could effectively achieve the aesthetic style transfer of a virtual scenario.展开更多
目的分析MOTOmed虚拟情景联合本体感觉训练在脑卒中偏瘫患者中的应用。方法纳入2022-12/2023-12月在作者医院进行诊治的脑卒中偏瘫患者136例,按随机数字表法分为观察组(MOTOmed虚拟情景联合本体感觉训练,n=68)和对照组(本体感觉训练,n=6...目的分析MOTOmed虚拟情景联合本体感觉训练在脑卒中偏瘫患者中的应用。方法纳入2022-12/2023-12月在作者医院进行诊治的脑卒中偏瘫患者136例,按随机数字表法分为观察组(MOTOmed虚拟情景联合本体感觉训练,n=68)和对照组(本体感觉训练,n=68),两组患者均连续训练8周。观察两组患者肢体偏瘫状况、关节活动度(range of motion,ROM),记录Fugl-Meyer运动功能评估量表(Fugl-Meyer motor assessment scale,FMA)评分、Berg平衡量表(Berg balance scale,BBS)评分、10 m步行速度、改良Barthel指数(modified Barthel index,MBI)评分、简明健康调查量表(36-item short form health survey,SF-36)评分,统计两组患者对康复效果的满意度。结果与对照组比较,观察组患者肢体偏瘫状况改善更佳(P<0.05);治疗后两组患者ROM较治疗前增加,且观察组较对照组增加更明显(P<0.05);治疗后两组患者FMA、BBS评分、10 m步行速度、MBI、SF-36得分均较治疗前增加,且观察组较对照组提高更明显(P均<0.001);观察组对康复效果满意度明显高于对照组(P<0.05)。结论脑卒中偏瘫患者应用MOTOmed虚拟情景联合本体感觉训练对改善肢体偏瘫状况具有积极意义,可改善ROM及运动、平衡及步行功能,进而提高患者生活质量,值得临床推广。展开更多
基金This work was supported by the Key Project of the National Natural Science Foundation of China(NSFC)under Grant 41930104National Key R&D Program of China under Grant 2021 YFE0112300+1 种基金Postgraduate Research&Practice Innovation Program of Jiangsu Province under Grant KYCX21_1336China Scholarship Council under Grant 202206860019.
文摘Most of the existing virtual scenarios built for the digital protection of Chinese classical private gardens are too modern in expression style to show the aesthetic significance of their historical period.Considering the aesthetic commonality between traditional Chinese landscape paintings and classical private gardens and referring to image style transfer,here,a deep neural network was proposed to transfer the aesthetic style from landscape paintings to the virtual scenario of classical private gardens.The network consisted of two parts:style prediction and style transfer.The style prediction network was used to obtain style representation from style paintings,and the style transfer network was used to transfer style representation to the content scenario.The pre-trained network was then embedded into the scenario rendering pipeline and combined with the screen post-processing method to realise the stylised expression of the virtual scenario.To verify the feasibility of this methodology,a virtual scenario of the Humble Administrator’s Garden was used as the content scenario andfive garden landscape paintings from different time periods and painting styles were selected for the case study.The results demonstrated that this methodology could effectively achieve the aesthetic style transfer of a virtual scenario.
文摘目的分析MOTOmed虚拟情景联合本体感觉训练在脑卒中偏瘫患者中的应用。方法纳入2022-12/2023-12月在作者医院进行诊治的脑卒中偏瘫患者136例,按随机数字表法分为观察组(MOTOmed虚拟情景联合本体感觉训练,n=68)和对照组(本体感觉训练,n=68),两组患者均连续训练8周。观察两组患者肢体偏瘫状况、关节活动度(range of motion,ROM),记录Fugl-Meyer运动功能评估量表(Fugl-Meyer motor assessment scale,FMA)评分、Berg平衡量表(Berg balance scale,BBS)评分、10 m步行速度、改良Barthel指数(modified Barthel index,MBI)评分、简明健康调查量表(36-item short form health survey,SF-36)评分,统计两组患者对康复效果的满意度。结果与对照组比较,观察组患者肢体偏瘫状况改善更佳(P<0.05);治疗后两组患者ROM较治疗前增加,且观察组较对照组增加更明显(P<0.05);治疗后两组患者FMA、BBS评分、10 m步行速度、MBI、SF-36得分均较治疗前增加,且观察组较对照组提高更明显(P均<0.001);观察组对康复效果满意度明显高于对照组(P<0.05)。结论脑卒中偏瘫患者应用MOTOmed虚拟情景联合本体感觉训练对改善肢体偏瘫状况具有积极意义,可改善ROM及运动、平衡及步行功能,进而提高患者生活质量,值得临床推广。
