A cross-sectional study was conducted to estimate the age-stratified normal levels and age-related changes in the risk predictors of benign prostatic hyperplasia(BPH)progression.A total of 4706 male participants aged ...A cross-sectional study was conducted to estimate the age-stratified normal levels and age-related changes in the risk predictors of benign prostatic hyperplasia(BPH)progression.A total of 4706 male participants aged 40 years or older in Zhengzhou(China)were enrolled.The values of the International Prostate Symptom Score(IPSS),prostate-specific antigen(PSA),prostate volume(PV),and postvoid residual urine volume(PVR)significantly increased with age.Nonlinear relationships between age and IPSS scores≥8(P for nonlinearity=0.046),PSA level≥1.6 ng ml^(-1),PV≥31 ml,or PVR≥39 ml(all P for nonlinearity<0.001)were observed.After the age of 61 years,the risk indicators related to BPH progression were positively correlated with age(odds ratio[OR]>1),regardless of the predictors of the IPSS score,PSA level,PV,or PVR;and the OR values increased gradually.Therefore,after the age of 61 years,the risk predictors related to BPH progression were positively correlated with age.展开更多
Objective:To investigate the expressions of microRNA-155 (miR-155) and histone deacetylase 2 (HDAC2) in peripheral blood mononuclear cells (PBMC) of patients with sudden deafness (SSNHL) and their clinical significanc...Objective:To investigate the expressions of microRNA-155 (miR-155) and histone deacetylase 2 (HDAC2) in peripheral blood mononuclear cells (PBMC) of patients with sudden deafness (SSNHL) and their clinical significances.Methods:112 patients with SSNHL who were treated in our hospital from February 2017 to September 2018 were selected as the study subjects, and they were referred to as sudden deafness group, and another 115 healthy examinees in the same period were compared and studied as normal group. The relative expression levels of miR-155, HDAC2, ICAM-1, TNF-α and interleukin-8 (IL-8) in PBMC of all subjects were detected by real-time fluorescence quantitative analysis (qRT-PCR). Pearson method was used to analyze the relationships between miR-155, HDAC2 and the expressions of ICAM-1, TNF-α, IL-8, and miR-155 and the expression of HDAC2 in PBMC of SSNHL patients. Logistic regression analysis was used to analyze the risk factors of SSNHL. The predictive diagnostic values of miR-155 and HDAC2 in PBMC for SSNHL were evaluated. Results:The relative expression levels of miR-155, ICAM-1, TNF-α and IL-8 in PBMC of sudden deafness group were significantly higher than those of normal group (P<0.05), while the relative expression levels of HDAC2 were significantly lower than those of normal group (P<0.05). In SSNHL patients, miR-155 were positively correlated with the expression levels of ICAM-1, TNF-α and IL-8 (P<0.05). The expression level of HDAC2 was negatively correlated with the expression levels of TNF-α and IL-8 (P<0.05). The expression level of miR-155 in PBMC of SSNHL patients was negatively correlated with HDAC2 (P<0.05). MiR-155, ICAM-1, TNF-α and IL-8 were risk factors for SSNHL (P<0.05), while HDAC2 was protective factor for SSNHL (P<0.05). The areas under curve (AUC) of miR-155 and HDAC2 in PBMC for SSNHL diagnosis were 0.855 and 0.835 respectively, the truncation values of which were 1.449 and 0.959 respectively, at this moment, the sensitivities were 75.0% and 81.3% respectively, and the corresponding specificities were 86.1% and 70.1% respectively. The AUC of combined diagnosis of SSNHL was 0.927, and the sensitivity and specificity were 86.7% and 85.3% respectively.Conclusions:The expressions of miR-155 is high and HDAC2 is low in PBMC of SSNHL patients, which are negatively correlated, and both of them may participate in the occurrence and development of SSNHL through mutual influence, which is a risk factor of SSNHL. The combination of the two can effectively improve the predictive diagnostic value of SSNHL.展开更多
Generating selfie images on the surface of a celestial body poses several challenges,including the position of the robotic arm,camera field of view,and limited shooting time.To address these challenges,the PCMIS(3D Po...Generating selfie images on the surface of a celestial body poses several challenges,including the position of the robotic arm,camera field of view,and limited shooting time.To address these challenges,the PCMIS(3D Point Cloud Matching Based Image Stitching)algorithm is designed,along with a corresponding shooting plan.This algorithm establishes a correspondence between depth and color information,enabling the generation of stitching views under any given view parameter.Furthermore,the algorithm is accelerated using GPU processing,resulting in a significant reduction in stitching time.The algorithm is successfully applied to generate selfie images for the Chang'e-5 mission.展开更多
We present a novel algorithm BADF(Bounding Volume Hierarchy Based Adaptive Distance Fields)for accelerating the construction of ADFs(adaptive distance fields)of rigid and deformable models on graphics processing units...We present a novel algorithm BADF(Bounding Volume Hierarchy Based Adaptive Distance Fields)for accelerating the construction of ADFs(adaptive distance fields)of rigid and deformable models on graphics processing units.Our approach is based on constructing a bounding volume hierarchy(BVH)and we use that hierarchy to generate an octree-based ADF.We exploit the coherence between successive frames and sort the grid points of the octree to accelerate the computation.Our approach is applicable to rigid and deformable models.Our GPU-based(graphics processing unit based)algorithm is about 20x--50x faster than current mainstream central processing unit based algorithms.Our BADF algorithm can construct the distance fields for deformable models with 60k triangles at interactive rates on an NVIDIA GTX GeForce 1060.Moreover,we observe 3x speedup over prior GPU-based ADF algorithms.展开更多
基金founded by Zhengzhou Finance Bureau (No.201974).
文摘A cross-sectional study was conducted to estimate the age-stratified normal levels and age-related changes in the risk predictors of benign prostatic hyperplasia(BPH)progression.A total of 4706 male participants aged 40 years or older in Zhengzhou(China)were enrolled.The values of the International Prostate Symptom Score(IPSS),prostate-specific antigen(PSA),prostate volume(PV),and postvoid residual urine volume(PVR)significantly increased with age.Nonlinear relationships between age and IPSS scores≥8(P for nonlinearity=0.046),PSA level≥1.6 ng ml^(-1),PV≥31 ml,or PVR≥39 ml(all P for nonlinearity<0.001)were observed.After the age of 61 years,the risk indicators related to BPH progression were positively correlated with age(odds ratio[OR]>1),regardless of the predictors of the IPSS score,PSA level,PV,or PVR;and the OR values increased gradually.Therefore,after the age of 61 years,the risk predictors related to BPH progression were positively correlated with age.
文摘Objective:To investigate the expressions of microRNA-155 (miR-155) and histone deacetylase 2 (HDAC2) in peripheral blood mononuclear cells (PBMC) of patients with sudden deafness (SSNHL) and their clinical significances.Methods:112 patients with SSNHL who were treated in our hospital from February 2017 to September 2018 were selected as the study subjects, and they were referred to as sudden deafness group, and another 115 healthy examinees in the same period were compared and studied as normal group. The relative expression levels of miR-155, HDAC2, ICAM-1, TNF-α and interleukin-8 (IL-8) in PBMC of all subjects were detected by real-time fluorescence quantitative analysis (qRT-PCR). Pearson method was used to analyze the relationships between miR-155, HDAC2 and the expressions of ICAM-1, TNF-α, IL-8, and miR-155 and the expression of HDAC2 in PBMC of SSNHL patients. Logistic regression analysis was used to analyze the risk factors of SSNHL. The predictive diagnostic values of miR-155 and HDAC2 in PBMC for SSNHL were evaluated. Results:The relative expression levels of miR-155, ICAM-1, TNF-α and IL-8 in PBMC of sudden deafness group were significantly higher than those of normal group (P<0.05), while the relative expression levels of HDAC2 were significantly lower than those of normal group (P<0.05). In SSNHL patients, miR-155 were positively correlated with the expression levels of ICAM-1, TNF-α and IL-8 (P<0.05). The expression level of HDAC2 was negatively correlated with the expression levels of TNF-α and IL-8 (P<0.05). The expression level of miR-155 in PBMC of SSNHL patients was negatively correlated with HDAC2 (P<0.05). MiR-155, ICAM-1, TNF-α and IL-8 were risk factors for SSNHL (P<0.05), while HDAC2 was protective factor for SSNHL (P<0.05). The areas under curve (AUC) of miR-155 and HDAC2 in PBMC for SSNHL diagnosis were 0.855 and 0.835 respectively, the truncation values of which were 1.449 and 0.959 respectively, at this moment, the sensitivities were 75.0% and 81.3% respectively, and the corresponding specificities were 86.1% and 70.1% respectively. The AUC of combined diagnosis of SSNHL was 0.927, and the sensitivity and specificity were 86.7% and 85.3% respectively.Conclusions:The expressions of miR-155 is high and HDAC2 is low in PBMC of SSNHL patients, which are negatively correlated, and both of them may participate in the occurrence and development of SSNHL through mutual influence, which is a risk factor of SSNHL. The combination of the two can effectively improve the predictive diagnostic value of SSNHL.
基金supported by the Leading Goose Research and Development Program of Zhejiang Province of China under Grant No.2024C01103.
文摘Generating selfie images on the surface of a celestial body poses several challenges,including the position of the robotic arm,camera field of view,and limited shooting time.To address these challenges,the PCMIS(3D Point Cloud Matching Based Image Stitching)algorithm is designed,along with a corresponding shooting plan.This algorithm establishes a correspondence between depth and color information,enabling the generation of stitching views under any given view parameter.Furthermore,the algorithm is accelerated using GPU processing,resulting in a significant reduction in stitching time.The algorithm is successfully applied to generate selfie images for the Chang'e-5 mission.
基金the National Key Research and Development Program of China under Grant No.2018AAA0102703the National Natural Science Foundation of China under Grant Nos.61972341,61972342,and 61732015.
文摘We present a novel algorithm BADF(Bounding Volume Hierarchy Based Adaptive Distance Fields)for accelerating the construction of ADFs(adaptive distance fields)of rigid and deformable models on graphics processing units.Our approach is based on constructing a bounding volume hierarchy(BVH)and we use that hierarchy to generate an octree-based ADF.We exploit the coherence between successive frames and sort the grid points of the octree to accelerate the computation.Our approach is applicable to rigid and deformable models.Our GPU-based(graphics processing unit based)algorithm is about 20x--50x faster than current mainstream central processing unit based algorithms.Our BADF algorithm can construct the distance fields for deformable models with 60k triangles at interactive rates on an NVIDIA GTX GeForce 1060.Moreover,we observe 3x speedup over prior GPU-based ADF algorithms.
