Background: specialized studies on hepatitis B virus (HBV) infection and B-NHL (B-cell Non-Hodgkin’s Lymphoma) are limited, as well as prophylactic antiviral therapy for B-NHL patients with HBV infection who are rece...Background: specialized studies on hepatitis B virus (HBV) infection and B-NHL (B-cell Non-Hodgkin’s Lymphoma) are limited, as well as prophylactic antiviral therapy for B-NHL patients with HBV infection who are receiving anticancer chemotherapy. This study aims to investigate the association between HBV infection and B-NHL, and to evaluate the effect of prophylactic antiviral therapy for HBV-infected B-NHL patients. Study design: A retrospective, case-control study was performed. The study group included 420 patients with B-NHL who were consecutively diagnosed from May 2003 to October 2013 (age range, 14 - 71 years), and the control group included 1280 Chinese residents in Guangxi who participated in the Health Survey (age range, 18 - 74 years). We compared the prevalence rate of HBV infection and clinic-pathologic characteristics between the two groups. The prevalence rate of HBV infection in our study was 34.7% (146/420), higher than the prevalence rate of 13.9% (178/1280) in the general population (P < 0.001). Among 146 B-NHL patients who received anticancer chemotherapy, 104 patients (71.2%) received prophylactic antiviral therapy. Conclusion: This study provides evidence that HBV may play an important role in development of B-NHL. Entecavir maybe the better antiviral drugs than Lamivudine, and antiviral therapy is maintained more than 6 months that maybe the optimal duration of prophylactic antiviral therapy. But further investigation should be conducted for determination of optimal duration and monitoring of antiviral therapy.展开更多
In geometry processing,symmetry research benefits from global geo-metric features of complete shapes,but the shape of an object captured in real-world applications is often incomplete due to the limited sensor resoluti...In geometry processing,symmetry research benefits from global geo-metric features of complete shapes,but the shape of an object captured in real-world applications is often incomplete due to the limited sensor resolution,single viewpoint,and occlusion.Different from the existing works predicting symmetry from the complete shape,we propose a learning approach for symmetry predic-tion based on a single RGB-D image.Instead of directly predicting the symmetry from incomplete shapes,our method consists of two modules,i.e.,the multi-mod-al feature fusion module and the detection-by-reconstruction module.Firstly,we build a channel-transformer network(CTN)to extract cross-fusion features from the RGB-D as the multi-modal feature fusion module,which helps us aggregate features from the color and the depth separately.Then,our self-reconstruction net-work based on a 3D variational auto-encoder(3D-VAE)takes the global geo-metric features as input,followed by a prediction symmetry network to detect the symmetry.Our experiments are conducted on three public datasets:ShapeNet,YCB,and ScanNet,we demonstrate that our method can produce reliable and accurate results.展开更多
Abstract Let n ≥ 3. The complex Lie algebra, which is attached to a unit form xixj and defined by generators and generalized Serre relations, is proved to be a finite-dimensional simple Lie algebra of type A~, and r...Abstract Let n ≥ 3. The complex Lie algebra, which is attached to a unit form xixj and defined by generators and generalized Serre relations, is proved to be a finite-dimensional simple Lie algebra of type A~, and realized by the Ringel-Hall Lie algebra of a Nakayama algebra of radical square zero. As its application of the realization, we give the roots and a Chevalley basis of the simple Lie algebra.展开更多
文摘Background: specialized studies on hepatitis B virus (HBV) infection and B-NHL (B-cell Non-Hodgkin’s Lymphoma) are limited, as well as prophylactic antiviral therapy for B-NHL patients with HBV infection who are receiving anticancer chemotherapy. This study aims to investigate the association between HBV infection and B-NHL, and to evaluate the effect of prophylactic antiviral therapy for HBV-infected B-NHL patients. Study design: A retrospective, case-control study was performed. The study group included 420 patients with B-NHL who were consecutively diagnosed from May 2003 to October 2013 (age range, 14 - 71 years), and the control group included 1280 Chinese residents in Guangxi who participated in the Health Survey (age range, 18 - 74 years). We compared the prevalence rate of HBV infection and clinic-pathologic characteristics between the two groups. The prevalence rate of HBV infection in our study was 34.7% (146/420), higher than the prevalence rate of 13.9% (178/1280) in the general population (P < 0.001). Among 146 B-NHL patients who received anticancer chemotherapy, 104 patients (71.2%) received prophylactic antiviral therapy. Conclusion: This study provides evidence that HBV may play an important role in development of B-NHL. Entecavir maybe the better antiviral drugs than Lamivudine, and antiviral therapy is maintained more than 6 months that maybe the optimal duration of prophylactic antiviral therapy. But further investigation should be conducted for determination of optimal duration and monitoring of antiviral therapy.
文摘In geometry processing,symmetry research benefits from global geo-metric features of complete shapes,but the shape of an object captured in real-world applications is often incomplete due to the limited sensor resolution,single viewpoint,and occlusion.Different from the existing works predicting symmetry from the complete shape,we propose a learning approach for symmetry predic-tion based on a single RGB-D image.Instead of directly predicting the symmetry from incomplete shapes,our method consists of two modules,i.e.,the multi-mod-al feature fusion module and the detection-by-reconstruction module.Firstly,we build a channel-transformer network(CTN)to extract cross-fusion features from the RGB-D as the multi-modal feature fusion module,which helps us aggregate features from the color and the depth separately.Then,our self-reconstruction net-work based on a 3D variational auto-encoder(3D-VAE)takes the global geo-metric features as input,followed by a prediction symmetry network to detect the symmetry.Our experiments are conducted on three public datasets:ShapeNet,YCB,and ScanNet,we demonstrate that our method can produce reliable and accurate results.
文摘Abstract Let n ≥ 3. The complex Lie algebra, which is attached to a unit form xixj and defined by generators and generalized Serre relations, is proved to be a finite-dimensional simple Lie algebra of type A~, and realized by the Ringel-Hall Lie algebra of a Nakayama algebra of radical square zero. As its application of the realization, we give the roots and a Chevalley basis of the simple Lie algebra.
