车辆检测是智能交通系统和自动驾驶的重要组成部分。然而,实际交通场景中存在许多不确定因素,导致车辆检测模型的准确率低实时性差。为了解决这个问题,提出了一种快速准确的车辆检测算法——YOLOv8-DEL。使用DGCST(dynamic group convol...车辆检测是智能交通系统和自动驾驶的重要组成部分。然而,实际交通场景中存在许多不确定因素,导致车辆检测模型的准确率低实时性差。为了解决这个问题,提出了一种快速准确的车辆检测算法——YOLOv8-DEL。使用DGCST(dynamic group convolution shuffle transformer)模块代替C2f模块来重构主干网络,以增强特征提取能力并使网络更轻量;添加的P2检测层能使模型更敏锐地定位和检测小目标,同时采用Efficient RepGFPN进行多尺度特征融合,以丰富特征信息并提高模型的特征表达能力;通过结合GroupNorm和共享卷积的优点,设计了一种轻量型共享卷积检测头,在保持精度的前提下,有效减少参数量并提升检测速度。与YOLOv8相比,提出的YOLOv8-DEL在BDD100K数据集和KITTI数据集上,mAP@0.5分别提高了4.8个百分点和1.2个百分点,具有实时检测速度(208.6 FPS和216.4 FPS),在检测精度和速度方面实现了更有利的折中。展开更多
Spontaneous preterm birth (SPTB) is characterized by the delivery of a baby before 37 completed weeks of gestation, and this condition is associated with significant health challenges for the newborn. Emerging evidenc...Spontaneous preterm birth (SPTB) is characterized by the delivery of a baby before 37 completed weeks of gestation, and this condition is associated with significant health challenges for the newborn. Emerging evidence highlights the importance of biomarkers for understanding the mechanisms underlying SPTB. One such biomarker, 8-OH-2dG, plays a critical role in evaluating oxidative stress and its impact on pregnancy outcomes. It has been demonstrated that 8-OH-2dG is a product of oxidative DNA damage and is widely recognized as a key indicator of cellular oxidative stress. Elevated reactive oxygen species in SPTB result in higher levels of the DNA degradation product 8-OH-2dG in amniotic fluid, causing damage to maternal and fetal tissues that could lead to premature rupture of fetal membranes. Therefore, evaluating the role of 8-OH-2dG in SPTB is of great interest. This review provides an overview of the current knowledge on 8-OH-2dG as a biomarker for SPTB and aims to elucidate its mechanism in this condition.展开更多
Grain size is a key factor influencing grain weight in rice.In this study,a chromosome segment substitution line(CSSL9-17)was identified,that exhibits a significant reduction in both grain size and weight compared to ...Grain size is a key factor influencing grain weight in rice.In this study,a chromosome segment substitution line(CSSL9-17)was identified,that exhibits a significant reduction in both grain size and weight compared to its donor parent 93-11.Further investigation identified two quantitative trait loci(QTL)on chromosome 11,designated qGW11a and qGW11b,which contribute to 1000-grain weight with an additive effect.LOC_Os11g05690,encoding the amino acid permease OsCAT8,is the target gene of qGW11a.Overexpression of OsCAT8 resulted in decreased grain weight,while OsCAT8 knockout mutants exhibited increased grain weight.The 287-bp located within the OsCAT8 promoter region of 93-11 negatively regulates its activity,which is subsequently correlated with an increase in grain size and weight.These results suggest that OsCAT8 functions as a negative regulator of grain size and grain weight in rice.展开更多
The measurement and mapping of objects in the outer environment have traditionally been conducted using ground-based monitoring systems,as well as satellites.More recently,unmanned aerial vehicles have also been emplo...The measurement and mapping of objects in the outer environment have traditionally been conducted using ground-based monitoring systems,as well as satellites.More recently,unmanned aerial vehicles have also been employed for this purpose.The accurate detection and mapping of a target such as buildings,trees,and terrains are of utmost importance in various applications of unmanned aerial vehicles(UAVs),including search and rescue operations,object transportation,object detection,inspection tasks,and mapping activities.However,the rapid measurement and mapping of the object are not currently achievable due to factors such as the object’s size,the intricate nature of the sites,and the complexity of mapping algorithms.The present system introduces a costeffective solution for measurement and mapping by utilizing a small unmanned aerial vehicle(UAV)equipped with an 8-beam Light Detection and Ranging(LiDAR)system.This approach offers advantages over traditional methods that rely on expensive cameras and complex algorithm-based approaches.The reflective properties of laser beams have also been investigated.The system provides prompt results in comparison to traditional camerabased surveillance,with minimal latency and the need for complex algorithms.The Kalman estimation method demonstrates improved performance in the presence of noise.The measurement and mapping of external objects have been successfully conducted at varying distances,utilizing different resolutions.展开更多
Asparagus stem blight,also known as“asparagus cancer”,is a serious plant disease with a regional distribution.The widespread occurrence of the disease has had a negative impact on the yield and quality of asparagus ...Asparagus stem blight,also known as“asparagus cancer”,is a serious plant disease with a regional distribution.The widespread occurrence of the disease has had a negative impact on the yield and quality of asparagus and has become one of the main problems threatening asparagus production.To improve the ability to accurately identify and localize phenotypic lesions of stem blight in asparagus and to enhance the accuracy of the test,a YOLOv8-CBAM detection algorithm for asparagus stem blight based on YOLOv8 was proposed.The algorithm aims to achieve rapid detection of phenotypic images of asparagus stem blight and to provide effective assistance in the control of asparagus stem blight.To enhance the model’s capacity to capture subtle lesion features,the Convolutional Block AttentionModule(CBAM)is added after C2f in the head.Simultaneously,the original CIoU loss function in YOLOv8 was replaced with the Focal-EIoU loss function,ensuring that the updated loss function emphasizes higher-quality bounding boxes.The YOLOv8-CBAM algorithm can effectively detect asparagus stem blight phenotypic images with a mean average precision(mAP)of 95.51%,which is 0.22%,14.99%,1.77%,and 5.71%higher than the YOLOv5,YOLOv7,YOLOv8,and Mask R-CNN models,respectively.This greatly enhances the efficiency of asparagus growers in identifying asparagus stem blight,aids in improving the prevention and control of asparagus stem blight,and is crucial for the application of computer vision in agriculture.展开更多
Objective To investigate the expression of cyclin-dependent kinase 8(CDK8)in esophageal squamous cell carcinoma(ESCC)and its effect on ESCC cells,and to explore its potential molecular mechanism.Methods The expression...Objective To investigate the expression of cyclin-dependent kinase 8(CDK8)in esophageal squamous cell carcinoma(ESCC)and its effect on ESCC cells,and to explore its potential molecular mechanism.Methods The expression level of CDK8 mRNA was analyzed using UALCAN database,and then the expression level of CDK8 protein in tumor tissues of ESCC patients was detected by immunohistochemistry(IHC).Esophageal cancer cell lines Kyse-30 and Kyse-150 were stably transfected with lentivirus to achieve knockdown and overexpression of CDK8.EdU proliferation assay,cell colony formation assay,cell cycle assay,cell scratch assay and invasion assay were used to explore the effect of CDK8 protein expression level on the phenotype of ESCC cells.Subsequently,the effect of CDK8 on the growth of esophageal cancer xenografts in vitro was observed by subcutaneous tumor formation assay in mice.Finally,the expression of proliferation and metastasis related proteins was detected by Western blot.Results CDK8 showed high transcription and protein expression levels in ESCC tissues compared with normal esophageal tissues.Knockdown of CDK8 expression significantly inhibited the proliferation,migration and invasion of ESCC cells.In addition,inhibition of CDK8 expression significantly affected the JAK2/STAT3 pathway and the expression of E-cadherin/N-cadherin,while overexpression of CDK8 reversed these effects.Inhibition of STAT3 pathway reversed the promoting effect of CDK8 overexpression on ESCC cell phenotype.Conclusion CDK8 is a cancer-promoting factor of ESCC,which mediates the phosphorylation of JAK2/STAT3 and epithelial-mesenchymal transition(EMT).展开更多
BACKGROUND Helicobacter pylori(H.pylori)persistently colonizes the human gastric mucosa in more than 50%of the global population,leading to various gastroduodenal diseases ranging from chronic gastritis to gastric car...BACKGROUND Helicobacter pylori(H.pylori)persistently colonizes the human gastric mucosa in more than 50%of the global population,leading to various gastroduodenal diseases ranging from chronic gastritis to gastric carcinoma.Cytotoxin-associated gene A(CagA)protein,an important oncoprotein,has highly polymorphic Glu-Pro-Ile-Tyr-Ala segments at the carboxyl terminus,which play crucial roles in pathogenesis.Our previous study revealed a significant association between amino acid deletions at positions 893 and 894 and gastric cancer.AIM To investigate the impact of amino acid deletions at positions 893 and 894 on CagA function.METHODS We selected a representative HZT strain from a gastric cancer patient with amino acid deletions at positions 893 and 894.The cagA gene was amplified and mutated into cagA-NT and cagA-NE(sequence characteristics of strains from nongastric cancer patients),cloned and inserted into pAdtrack-CMV,and then transfected into AGS cells.The expression of cagA and its mutants was examined using realtime polymerase chain reaction and Western blotting,cell elongation via cell counting,F-actin cytoskeleton visualization using fluorescence staining,and interleukin-8(IL-8)secretion via enzyme-linked immunosorbent assay.RESULTS The results revealed that pAdtrack/cagA induced a more pronounced hummingbird phenotype than pAdtrack/cagA-NT and pAdtrack/cagA-NE(40.88±3.10 vs 32.50±3.17,P<0.001 and 40.88±3.10 vs 32.17±3.00,P<0.001)at 12 hours after transfection.At 24 hours,pAdtrack/cagA-NE induced significantly fewer hummingbird phenotypes than pAdtrack/cagA and pAdtrack/cagA-NT(46.02±2.12 vs 53.90±2.10,P<0.001 and 46.02±2.12 vs 51.15±3.74,P<0.001).The total amount of F-actin caused by pAdtrack/cagA was significantly lower than that caused by pAdtrack/cagA-NT and pAdtrack/cagA-NE(27.54±17.37 vs 41.51±11.90,P<0.001 and 27.54±17.37 vs 41.39±14.22,P<0.001)at 12 hours after transfection.Additionally,pAdtrack/cagA induced higher IL-8 secretion than pAdtrack/cagA-NT and pAdtrack/cagA-NE at different times after transfection.CONCLUSION Amino acid deletions at positions 893 and 894 enhance CagA pathogenicity,which is crucial for revealing the pathogenic mechanism of CagA and identifying biomarkers of highly pathogenic H.pylori.展开更多
针对无人机视角下的目标存在多尺度、目标小、被遮挡与背景复杂等问题,提出了一种基于动态样本注意力尺度序列的YOLOv8改进算法BDAD-YOLO。通过引入BiFormer的思想来改造原模型骨干结构,提高模型对关键信息的关注度,更好地保留目标细粒...针对无人机视角下的目标存在多尺度、目标小、被遮挡与背景复杂等问题,提出了一种基于动态样本注意力尺度序列的YOLOv8改进算法BDAD-YOLO。通过引入BiFormer的思想来改造原模型骨干结构,提高模型对关键信息的关注度,更好地保留目标细粒度细节信息。由于目标存在大小、位置等多变性,传统卷积并不能很好地处理这一情况,因此基于DCN(deformable convolutional network)的思想,设计了一种可以增强对小目标特征提取的C2_DCf模块,从而进一步提高颈部网络中小目标层对特征信息的融合。提出一种基于动态样本的注意力尺度序列融合框架AFD(attention-scale sequence fusion framework based on dynamic samples),使用轻量化动态点采样并通过融合不同尺度的特征图来增强网络提取多尺度信息的能力。使用WIoU损失函数,改善小目标低质量数据对梯度的不利影响,以加快网络收敛速度。实验结果表明,在VisDrone数据集中的val集与test集上平均精度(mAP@0.5)分别提升了4.6个百分点、3.7个百分点,在DOTA数据集上平均精度(mAP@0.5)提升了2.4个百分点,证明了改进算法的有效性和普适性。展开更多
文摘Spontaneous preterm birth (SPTB) is characterized by the delivery of a baby before 37 completed weeks of gestation, and this condition is associated with significant health challenges for the newborn. Emerging evidence highlights the importance of biomarkers for understanding the mechanisms underlying SPTB. One such biomarker, 8-OH-2dG, plays a critical role in evaluating oxidative stress and its impact on pregnancy outcomes. It has been demonstrated that 8-OH-2dG is a product of oxidative DNA damage and is widely recognized as a key indicator of cellular oxidative stress. Elevated reactive oxygen species in SPTB result in higher levels of the DNA degradation product 8-OH-2dG in amniotic fluid, causing damage to maternal and fetal tissues that could lead to premature rupture of fetal membranes. Therefore, evaluating the role of 8-OH-2dG in SPTB is of great interest. This review provides an overview of the current knowledge on 8-OH-2dG as a biomarker for SPTB and aims to elucidate its mechanism in this condition.
基金supported by grants from the National Natural Science Foundation of China(32325038)the Postdoctoral Fellowship Program of CPSF(GZB20230499)+1 种基金the Sichuan Science and Technology Program(24NSFSC4494)the Open Project Program(SKL-ZY202212)of State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China.We thank the High-Performance Computing Platform of Sichuan Agricultural University for its support for the analysis of substitution segments in CSSL9-17.
文摘Grain size is a key factor influencing grain weight in rice.In this study,a chromosome segment substitution line(CSSL9-17)was identified,that exhibits a significant reduction in both grain size and weight compared to its donor parent 93-11.Further investigation identified two quantitative trait loci(QTL)on chromosome 11,designated qGW11a and qGW11b,which contribute to 1000-grain weight with an additive effect.LOC_Os11g05690,encoding the amino acid permease OsCAT8,is the target gene of qGW11a.Overexpression of OsCAT8 resulted in decreased grain weight,while OsCAT8 knockout mutants exhibited increased grain weight.The 287-bp located within the OsCAT8 promoter region of 93-11 negatively regulates its activity,which is subsequently correlated with an increase in grain size and weight.These results suggest that OsCAT8 functions as a negative regulator of grain size and grain weight in rice.
基金funded through the Researchers Supporting Project Number(RSPD2024R596),King Saud University,Riyadh,Saudi Arabia.
文摘The measurement and mapping of objects in the outer environment have traditionally been conducted using ground-based monitoring systems,as well as satellites.More recently,unmanned aerial vehicles have also been employed for this purpose.The accurate detection and mapping of a target such as buildings,trees,and terrains are of utmost importance in various applications of unmanned aerial vehicles(UAVs),including search and rescue operations,object transportation,object detection,inspection tasks,and mapping activities.However,the rapid measurement and mapping of the object are not currently achievable due to factors such as the object’s size,the intricate nature of the sites,and the complexity of mapping algorithms.The present system introduces a costeffective solution for measurement and mapping by utilizing a small unmanned aerial vehicle(UAV)equipped with an 8-beam Light Detection and Ranging(LiDAR)system.This approach offers advantages over traditional methods that rely on expensive cameras and complex algorithm-based approaches.The reflective properties of laser beams have also been investigated.The system provides prompt results in comparison to traditional camerabased surveillance,with minimal latency and the need for complex algorithms.The Kalman estimation method demonstrates improved performance in the presence of noise.The measurement and mapping of external objects have been successfully conducted at varying distances,utilizing different resolutions.
基金supported by the Feicheng Artificial Intelligence Robot and Smart Agriculture Service Platform(381387).
文摘Asparagus stem blight,also known as“asparagus cancer”,is a serious plant disease with a regional distribution.The widespread occurrence of the disease has had a negative impact on the yield and quality of asparagus and has become one of the main problems threatening asparagus production.To improve the ability to accurately identify and localize phenotypic lesions of stem blight in asparagus and to enhance the accuracy of the test,a YOLOv8-CBAM detection algorithm for asparagus stem blight based on YOLOv8 was proposed.The algorithm aims to achieve rapid detection of phenotypic images of asparagus stem blight and to provide effective assistance in the control of asparagus stem blight.To enhance the model’s capacity to capture subtle lesion features,the Convolutional Block AttentionModule(CBAM)is added after C2f in the head.Simultaneously,the original CIoU loss function in YOLOv8 was replaced with the Focal-EIoU loss function,ensuring that the updated loss function emphasizes higher-quality bounding boxes.The YOLOv8-CBAM algorithm can effectively detect asparagus stem blight phenotypic images with a mean average precision(mAP)of 95.51%,which is 0.22%,14.99%,1.77%,and 5.71%higher than the YOLOv5,YOLOv7,YOLOv8,and Mask R-CNN models,respectively.This greatly enhances the efficiency of asparagus growers in identifying asparagus stem blight,aids in improving the prevention and control of asparagus stem blight,and is crucial for the application of computer vision in agriculture.
文摘Objective To investigate the expression of cyclin-dependent kinase 8(CDK8)in esophageal squamous cell carcinoma(ESCC)and its effect on ESCC cells,and to explore its potential molecular mechanism.Methods The expression level of CDK8 mRNA was analyzed using UALCAN database,and then the expression level of CDK8 protein in tumor tissues of ESCC patients was detected by immunohistochemistry(IHC).Esophageal cancer cell lines Kyse-30 and Kyse-150 were stably transfected with lentivirus to achieve knockdown and overexpression of CDK8.EdU proliferation assay,cell colony formation assay,cell cycle assay,cell scratch assay and invasion assay were used to explore the effect of CDK8 protein expression level on the phenotype of ESCC cells.Subsequently,the effect of CDK8 on the growth of esophageal cancer xenografts in vitro was observed by subcutaneous tumor formation assay in mice.Finally,the expression of proliferation and metastasis related proteins was detected by Western blot.Results CDK8 showed high transcription and protein expression levels in ESCC tissues compared with normal esophageal tissues.Knockdown of CDK8 expression significantly inhibited the proliferation,migration and invasion of ESCC cells.In addition,inhibition of CDK8 expression significantly affected the JAK2/STAT3 pathway and the expression of E-cadherin/N-cadherin,while overexpression of CDK8 reversed these effects.Inhibition of STAT3 pathway reversed the promoting effect of CDK8 overexpression on ESCC cell phenotype.Conclusion CDK8 is a cancer-promoting factor of ESCC,which mediates the phosphorylation of JAK2/STAT3 and epithelial-mesenchymal transition(EMT).
基金Supported by the Shandong Medical and Health Science and Technology Development Plan Project,No.202202080452.
文摘BACKGROUND Helicobacter pylori(H.pylori)persistently colonizes the human gastric mucosa in more than 50%of the global population,leading to various gastroduodenal diseases ranging from chronic gastritis to gastric carcinoma.Cytotoxin-associated gene A(CagA)protein,an important oncoprotein,has highly polymorphic Glu-Pro-Ile-Tyr-Ala segments at the carboxyl terminus,which play crucial roles in pathogenesis.Our previous study revealed a significant association between amino acid deletions at positions 893 and 894 and gastric cancer.AIM To investigate the impact of amino acid deletions at positions 893 and 894 on CagA function.METHODS We selected a representative HZT strain from a gastric cancer patient with amino acid deletions at positions 893 and 894.The cagA gene was amplified and mutated into cagA-NT and cagA-NE(sequence characteristics of strains from nongastric cancer patients),cloned and inserted into pAdtrack-CMV,and then transfected into AGS cells.The expression of cagA and its mutants was examined using realtime polymerase chain reaction and Western blotting,cell elongation via cell counting,F-actin cytoskeleton visualization using fluorescence staining,and interleukin-8(IL-8)secretion via enzyme-linked immunosorbent assay.RESULTS The results revealed that pAdtrack/cagA induced a more pronounced hummingbird phenotype than pAdtrack/cagA-NT and pAdtrack/cagA-NE(40.88±3.10 vs 32.50±3.17,P<0.001 and 40.88±3.10 vs 32.17±3.00,P<0.001)at 12 hours after transfection.At 24 hours,pAdtrack/cagA-NE induced significantly fewer hummingbird phenotypes than pAdtrack/cagA and pAdtrack/cagA-NT(46.02±2.12 vs 53.90±2.10,P<0.001 and 46.02±2.12 vs 51.15±3.74,P<0.001).The total amount of F-actin caused by pAdtrack/cagA was significantly lower than that caused by pAdtrack/cagA-NT and pAdtrack/cagA-NE(27.54±17.37 vs 41.51±11.90,P<0.001 and 27.54±17.37 vs 41.39±14.22,P<0.001)at 12 hours after transfection.Additionally,pAdtrack/cagA induced higher IL-8 secretion than pAdtrack/cagA-NT and pAdtrack/cagA-NE at different times after transfection.CONCLUSION Amino acid deletions at positions 893 and 894 enhance CagA pathogenicity,which is crucial for revealing the pathogenic mechanism of CagA and identifying biomarkers of highly pathogenic H.pylori.
文摘针对无人机视角下的目标存在多尺度、目标小、被遮挡与背景复杂等问题,提出了一种基于动态样本注意力尺度序列的YOLOv8改进算法BDAD-YOLO。通过引入BiFormer的思想来改造原模型骨干结构,提高模型对关键信息的关注度,更好地保留目标细粒度细节信息。由于目标存在大小、位置等多变性,传统卷积并不能很好地处理这一情况,因此基于DCN(deformable convolutional network)的思想,设计了一种可以增强对小目标特征提取的C2_DCf模块,从而进一步提高颈部网络中小目标层对特征信息的融合。提出一种基于动态样本的注意力尺度序列融合框架AFD(attention-scale sequence fusion framework based on dynamic samples),使用轻量化动态点采样并通过融合不同尺度的特征图来增强网络提取多尺度信息的能力。使用WIoU损失函数,改善小目标低质量数据对梯度的不利影响,以加快网络收敛速度。实验结果表明,在VisDrone数据集中的val集与test集上平均精度(mAP@0.5)分别提升了4.6个百分点、3.7个百分点,在DOTA数据集上平均精度(mAP@0.5)提升了2.4个百分点,证明了改进算法的有效性和普适性。
