[Objective] This study aimed to establish the technical system for forcing ornamental pineapple in Guzmania to flower and further provide technical parameters for large-scale cultivation.[Method] The effect of differe...[Objective] This study aimed to establish the technical system for forcing ornamental pineapple in Guzmania to flower and further provide technical parameters for large-scale cultivation.[Method] The effect of different concentrations of ethephon solution on flowering in Guzmania ornamental pineapple was studied by using randomized block design.[Results] All the different concentrations of ethephon solution were capable to force the four mainly-cultivated ornamental pineapple varieties to flower to varying degrees.After the flower forcing,it took about 180 d for the pineapple to stay in the ornamentation period,and there were no significant differences in inflorescence shape,inflorescence height,inflorescence diameter and bract number among different treatment pineapples.[Conclusion] All the four varieties have shown high sensitivity to ethephon.The optimal ethephon concentration is 400 mg/L for treating G.lingulata,G.remembrance and G.denise and 500 mg/L for treating G.conifera.After treatment,their major ornamentation traits are were able to satisfy the requirements for commercial production of pineapple.展开更多
诺基亚8600 Luna RMB 7200每天,互联网上关于新机的谍报层出不穷,之前有传言称诺基亚会在5月份发布一款8系列的新款手机,果不其然,等到5月的最后一天,传闻中的8600 Luna终于揭开了它的神秘面纱。Luna,月神。诺基亚将这个英文单词作为了...诺基亚8600 Luna RMB 7200每天,互联网上关于新机的谍报层出不穷,之前有传言称诺基亚会在5月份发布一款8系列的新款手机,果不其然,等到5月的最后一天,传闻中的8600 Luna终于揭开了它的神秘面纱。Luna,月神。诺基亚将这个英文单词作为了旗下8系列新机的名称。展开更多
Lung cancer is the most dangerous and death-causing disease indicated by the presence of pulmonary nodules in the lung.It is mostly caused by the instinctive growth of cells in the lung.Lung nodule detection has a sig...Lung cancer is the most dangerous and death-causing disease indicated by the presence of pulmonary nodules in the lung.It is mostly caused by the instinctive growth of cells in the lung.Lung nodule detection has a significant role in detecting and screening lung cancer in Computed tomography(CT)scan images.Early detection plays an important role in the survival rate and treatment of lung cancer patients.Moreover,pulmonary nodule classification techniques based on the convolutional neural network can be used for the accurate and efficient detection of lung cancer.This work proposed an automatic nodule detection method in CT images based on modified AlexNet architecture and Support vector machine(SVM)algorithm namely LungNet-SVM.The proposed model consists of seven convolutional layers,three pooling layers,and two fully connected layers used to extract features.Support vector machine classifier is applied for the binary classification of nodules into benign andmalignant.The experimental analysis is performed by using the publicly available benchmark dataset Lung nodule analysis 2016(LUNA16).The proposed model has achieved 97.64%of accuracy,96.37%of sensitivity,and 99.08%of specificity.A comparative analysis has been carried out between the proposed LungNet-SVM model and existing stateof-the-art approaches for the classification of lung cancer.The experimental results indicate that the proposed LungNet-SVM model achieved remarkable performance on a LUNA16 dataset in terms of accuracy.展开更多
文摘[Objective] This study aimed to establish the technical system for forcing ornamental pineapple in Guzmania to flower and further provide technical parameters for large-scale cultivation.[Method] The effect of different concentrations of ethephon solution on flowering in Guzmania ornamental pineapple was studied by using randomized block design.[Results] All the different concentrations of ethephon solution were capable to force the four mainly-cultivated ornamental pineapple varieties to flower to varying degrees.After the flower forcing,it took about 180 d for the pineapple to stay in the ornamentation period,and there were no significant differences in inflorescence shape,inflorescence height,inflorescence diameter and bract number among different treatment pineapples.[Conclusion] All the four varieties have shown high sensitivity to ethephon.The optimal ethephon concentration is 400 mg/L for treating G.lingulata,G.remembrance and G.denise and 500 mg/L for treating G.conifera.After treatment,their major ornamentation traits are were able to satisfy the requirements for commercial production of pineapple.
文摘Lung cancer is the most dangerous and death-causing disease indicated by the presence of pulmonary nodules in the lung.It is mostly caused by the instinctive growth of cells in the lung.Lung nodule detection has a significant role in detecting and screening lung cancer in Computed tomography(CT)scan images.Early detection plays an important role in the survival rate and treatment of lung cancer patients.Moreover,pulmonary nodule classification techniques based on the convolutional neural network can be used for the accurate and efficient detection of lung cancer.This work proposed an automatic nodule detection method in CT images based on modified AlexNet architecture and Support vector machine(SVM)algorithm namely LungNet-SVM.The proposed model consists of seven convolutional layers,three pooling layers,and two fully connected layers used to extract features.Support vector machine classifier is applied for the binary classification of nodules into benign andmalignant.The experimental analysis is performed by using the publicly available benchmark dataset Lung nodule analysis 2016(LUNA16).The proposed model has achieved 97.64%of accuracy,96.37%of sensitivity,and 99.08%of specificity.A comparative analysis has been carried out between the proposed LungNet-SVM model and existing stateof-the-art approaches for the classification of lung cancer.The experimental results indicate that the proposed LungNet-SVM model achieved remarkable performance on a LUNA16 dataset in terms of accuracy.
