Classical Chinese characters,presented through calligraphy,seal engraving,or painting,can exhibit different aesthetics and essences of Chinese characters,making them the most important asset of the Chinese people.Call...Classical Chinese characters,presented through calligraphy,seal engraving,or painting,can exhibit different aesthetics and essences of Chinese characters,making them the most important asset of the Chinese people.Calligraphy and seal engraving,as two closely related systems in traditional Chinese art,have developed through the ages.Due to changes in lifestyle and advancements in modern technology,their original functions of daily writing and verification have gradually diminished.Instead,they have increasingly played a significant role in commercial art.This study utilizes the Evaluation Grid Method(EGM)and the Analytic Hierarchy Process(AHP)to research the key preference factors in the application of calligraphy and seal engraving imagery.Different from the traditional 5-point equal interval semantic questionnaire,this study employs a non-equal interval semantic questionnaire with a golden ratio scale,distinguishing the importance ratio of adjacent semantic meanings and highlighting the weighted emphasis on visual aesthetics.Additionally,the study uses Importance-Performance Analysis(IPA)and Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)to obtain the key preference sequence of calligraphy and seal engraving culture.Plus,the Choquet integral comprehensive evaluation is used as a reference for IPA comparison.It is hoped that this study can provide cultural imagery references and research methods,injecting further creativity into industrial design.展开更多
Objective： To identify the differences among preinvasive lesions, minimally invasive adenocarcinomas （MIAs）and invasive pulmonary adenocarcinomas （IPAs） based on radiomic feature analysis with computed tomography...Objective： To identify the differences among preinvasive lesions, minimally invasive adenocarcinomas （MIAs）and invasive pulmonary adenocarcinomas （IPAs） based on radiomic feature analysis with computed tomography（CT）.Methods： A total of 109 patients with ground-glass opacity lesions （GGOs） in the lungs determined by CTexaminations were enrolled, all of whom had received a pathologic diagnosis. After the manual delineation andsegmentation of the GGOs as regions of interest （ROIs）, the patients were subdivided into three groups based onpathologic analyses： the preinvasive lesions （including atypical adenomatous hyperplasia and adenocarcinoma insitu） subgroup, the MIA subgroup and the IPA subgroup. Next, we obtained the texture features of the GGOs. Thedata analysis was aimed at finding both the differences between each pair of the groups and predictors to distinguishany two pathologic subtypes using logistic regression. Finally, a receiver operating characteristic （ROC） curve wasapplied to accurately evaluate the performances of the regression models.Results： We found that the voxel count feature （P〈0.001） could be used as a predictor for distinguishing IPAsfrom preinvasive lesions. However, the surface area feature （P=0.040） and the extruded surface area feature（P=0.013） could be predictors of IPAs compared with MIAs. In addition, the correlation feature （P=0.046） coulddistinguish preinvasive lesions from MIAs better.Conclusions： Preinvasive lesions, MIAs and IPAs can be discriminated based on texture features within CTimages, although the three diseases could all appear as GGOs on CT images. The diagnoses of these three diseasesare very important for clinical surgery.展开更多
文摘Classical Chinese characters,presented through calligraphy,seal engraving,or painting,can exhibit different aesthetics and essences of Chinese characters,making them the most important asset of the Chinese people.Calligraphy and seal engraving,as two closely related systems in traditional Chinese art,have developed through the ages.Due to changes in lifestyle and advancements in modern technology,their original functions of daily writing and verification have gradually diminished.Instead,they have increasingly played a significant role in commercial art.This study utilizes the Evaluation Grid Method(EGM)and the Analytic Hierarchy Process(AHP)to research the key preference factors in the application of calligraphy and seal engraving imagery.Different from the traditional 5-point equal interval semantic questionnaire,this study employs a non-equal interval semantic questionnaire with a golden ratio scale,distinguishing the importance ratio of adjacent semantic meanings and highlighting the weighted emphasis on visual aesthetics.Additionally,the study uses Importance-Performance Analysis(IPA)and Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)to obtain the key preference sequence of calligraphy and seal engraving culture.Plus,the Choquet integral comprehensive evaluation is used as a reference for IPA comparison.It is hoped that this study can provide cultural imagery references and research methods,injecting further creativity into industrial design.
基金supported by the Special Fund of Pharmacy, Radiology and Ecsomatics of Tianjin Medical University Cancer Institute & Hospital (No. Y1507)
文摘Objective： To identify the differences among preinvasive lesions, minimally invasive adenocarcinomas （MIAs）and invasive pulmonary adenocarcinomas （IPAs） based on radiomic feature analysis with computed tomography（CT）.Methods： A total of 109 patients with ground-glass opacity lesions （GGOs） in the lungs determined by CTexaminations were enrolled, all of whom had received a pathologic diagnosis. After the manual delineation andsegmentation of the GGOs as regions of interest （ROIs）, the patients were subdivided into three groups based onpathologic analyses： the preinvasive lesions （including atypical adenomatous hyperplasia and adenocarcinoma insitu） subgroup, the MIA subgroup and the IPA subgroup. Next, we obtained the texture features of the GGOs. Thedata analysis was aimed at finding both the differences between each pair of the groups and predictors to distinguishany two pathologic subtypes using logistic regression. Finally, a receiver operating characteristic （ROC） curve wasapplied to accurately evaluate the performances of the regression models.Results： We found that the voxel count feature （P〈0.001） could be used as a predictor for distinguishing IPAsfrom preinvasive lesions. However, the surface area feature （P=0.040） and the extruded surface area feature（P=0.013） could be predictors of IPAs compared with MIAs. In addition, the correlation feature （P=0.046） coulddistinguish preinvasive lesions from MIAs better.Conclusions： Preinvasive lesions, MIAs and IPAs can be discriminated based on texture features within CTimages, although the three diseases could all appear as GGOs on CT images. The diagnoses of these three diseasesare very important for clinical surgery.
