Efficient road distress detection is crucial for transportation safety.To address the challenge of balancing detection accuracy,efficiency,and multi-scale feature fusion in existing methods,this paper proposes a light...Efficient road distress detection is crucial for transportation safety.To address the challenge of balancing detection accuracy,efficiency,and multi-scale feature fusion in existing methods,this paper proposes a lightweight model named MADF-YOLOv8.The model enhances multi-scale feature extraction capability by introducing the Multi-Scale Ghost Residual Convolution(MSGRConv)and the Multiscale Adaptive Feature Processing Module(MAFP).Furthermore,it constructs a Multi-scale Dynamic sampling Bidirectional Feature Pyramid Network(MD-BiFPN)and incorporates the C2f-Faster module to optimize feature fusion efficiency.Experiments on the RDD2022 dataset demonstrate that the proposed model achieves a mean Average Precision at 0.5 Intersection over Union(mAP@0.5)of 88.6%with only 2.312 million parameters.Its overall performance surpasses various mainstream detectors,achieving an exceptional balance between accuracy and efficiency.展开更多
In panoramic images,the geometric distortion caused by wide-angle lenses makes traditional semantic segmentation methods difficult to accurately segment the glass areas.To address the challenges of capturing spatial f...In panoramic images,the geometric distortion caused by wide-angle lenses makes traditional semantic segmentation methods difficult to accurately segment the glass areas.To address the challenges of capturing spatial features and integrating context information,we propose the Panoramic Glass Image Segmentation Network(PGISNet).This network integrates the Matrix Decomposition Base Module(MDBM),the Transparent Perception Consistency Module(TACM),the Context and Texture Compensation Module(CTCM),and the Multi-scale Gated Context Attention Module(MGCA),constructing a progressive feature processing flow.Experimental results on the PanoGlassV2 benchmark test show that PGISNet achieved 90.03%IoU,94.76%F-score,and 94.0%PA,significantly outperforming existing methods,verifying its effectiveness and advancement in the panoramic image glass segmentation task.展开更多
Mitogen-activated protein kinases(MAPKs)play pivotal roles in response to environmental stresses and bacterial infections.Compared with those in the higher vertebrates,studies of mapk gene family are still limited in ...Mitogen-activated protein kinases(MAPKs)play pivotal roles in response to environmental stresses and bacterial infections.Compared with those in the higher vertebrates,studies of mapk gene family are still limited in teleost.Identification,characterization,classification,and expression profiling of totally 15 mapk genes in black rockfish(Sebastes schlegelii)were conducted.Phylogenetic relationships show that these mapk genes could be divided into extracellular signal-regulated kinase(ERK),c-Jun N-terminal kinase(JNK),and p38 sub-families.In addition,gene structures,syntenic analysis,and selective pressure analysis are performed to confirm their annotations.Results of selective pressure analysis indicate that mapk1,mapk3,mapk7,mapk10,mapk11,and mapk12 underwent significantly-positive selections,while the others genes such as mapk4,mapk6,mapk15,mapk8a,mapk8b,mapk9,mapk13,mapk14a,and mapk14b were under purifying selections.Moreover,results of qRT-PCR indicate that mapk genes in 8 healthy tissues displayed different expression patterns.The expression patterns of several mapk genes including mapk12,mapk13,mapk14a,mapk14b,and mapk15 were significantly changed in mucosal tissues after Edwardsiella piscicida infection.This study demonstrates that mapk genes in black rockfish play vital prevention roles against bacterial infection,which not only helps us understand the structure and function of mapk genes in black rockfish,but also provides a reference to understand the role of mapk genes in teleost immune responses.展开更多
基金supported by the National Key Research and Development Program of China under Grant No.2022YFA1602003,entitled"Intelligent Monitoring of Taishan Neutrino Detector".
文摘Efficient road distress detection is crucial for transportation safety.To address the challenge of balancing detection accuracy,efficiency,and multi-scale feature fusion in existing methods,this paper proposes a lightweight model named MADF-YOLOv8.The model enhances multi-scale feature extraction capability by introducing the Multi-Scale Ghost Residual Convolution(MSGRConv)and the Multiscale Adaptive Feature Processing Module(MAFP).Furthermore,it constructs a Multi-scale Dynamic sampling Bidirectional Feature Pyramid Network(MD-BiFPN)and incorporates the C2f-Faster module to optimize feature fusion efficiency.Experiments on the RDD2022 dataset demonstrate that the proposed model achieves a mean Average Precision at 0.5 Intersection over Union(mAP@0.5)of 88.6%with only 2.312 million parameters.Its overall performance surpasses various mainstream detectors,achieving an exceptional balance between accuracy and efficiency.
基金supported by the National Key Research and Development Program of China under Grant No.2022YFA1602003,entitled"Intelligent Monitoring of Taishan Neutrino Detector".
文摘In panoramic images,the geometric distortion caused by wide-angle lenses makes traditional semantic segmentation methods difficult to accurately segment the glass areas.To address the challenges of capturing spatial features and integrating context information,we propose the Panoramic Glass Image Segmentation Network(PGISNet).This network integrates the Matrix Decomposition Base Module(MDBM),the Transparent Perception Consistency Module(TACM),the Context and Texture Compensation Module(CTCM),and the Multi-scale Gated Context Attention Module(MGCA),constructing a progressive feature processing flow.Experimental results on the PanoGlassV2 benchmark test show that PGISNet achieved 90.03%IoU,94.76%F-score,and 94.0%PA,significantly outperforming existing methods,verifying its effectiveness and advancement in the panoramic image glass segmentation task.
基金Supported by the National Key R&D Program of China(No.2018YFD0900101)the Young Experts of Taishan Scholars(No.tsqn201909130)+2 种基金the Science and Technology Support Plan for Youth Innovation of Colleges and Universities in Shandong Province(No.2019KJF003)the“First Class Fishery Discipline”Program in Shandong Provincethe Shandong Technical System of Fish Industry(No.SDAIT-12-03)。
文摘Mitogen-activated protein kinases(MAPKs)play pivotal roles in response to environmental stresses and bacterial infections.Compared with those in the higher vertebrates,studies of mapk gene family are still limited in teleost.Identification,characterization,classification,and expression profiling of totally 15 mapk genes in black rockfish(Sebastes schlegelii)were conducted.Phylogenetic relationships show that these mapk genes could be divided into extracellular signal-regulated kinase(ERK),c-Jun N-terminal kinase(JNK),and p38 sub-families.In addition,gene structures,syntenic analysis,and selective pressure analysis are performed to confirm their annotations.Results of selective pressure analysis indicate that mapk1,mapk3,mapk7,mapk10,mapk11,and mapk12 underwent significantly-positive selections,while the others genes such as mapk4,mapk6,mapk15,mapk8a,mapk8b,mapk9,mapk13,mapk14a,and mapk14b were under purifying selections.Moreover,results of qRT-PCR indicate that mapk genes in 8 healthy tissues displayed different expression patterns.The expression patterns of several mapk genes including mapk12,mapk13,mapk14a,mapk14b,and mapk15 were significantly changed in mucosal tissues after Edwardsiella piscicida infection.This study demonstrates that mapk genes in black rockfish play vital prevention roles against bacterial infection,which not only helps us understand the structure and function of mapk genes in black rockfish,but also provides a reference to understand the role of mapk genes in teleost immune responses.
