Accurate and continuous identification of individual cattle is crucial to precision farming in recent years.It is also the prerequisite to monitor the individual feed intake and feeding time of beef cattle at medium t...Accurate and continuous identification of individual cattle is crucial to precision farming in recent years.It is also the prerequisite to monitor the individual feed intake and feeding time of beef cattle at medium to long distances over different cameras.However,beef cattle can tend to frequently move and change their feeding position during feeding.Furthermore,the great variations in their head direction and complex environments(light,occlusion,and background)can also lead to some difficulties in the recognition,particularly for the bio-similarities among individual cattle.Among them,AlignedReID++model is characterized by both global and local information for image matching.In particular,the dynamically matching local information(DMLI)algorithm has been introduced into the local branch to automatically align the horizontal local information.In this research,the AlignedReID++model was utilized and improved to achieve the better performance in cattle re-identification(ReID).Initially,triplet attention(TA)modules were integrated into the BottleNecks of ResNet50 Backbone.The feature extraction was then enhanced through cross-dimensional interactions with the minimal computational overhead.Since the TA modules in AlignedReID++baseline model increased the model size and floating point operations(FLOPs)by 0.005 M and 0.05 G,the rank-1 accuracy and mean average precision(mAP)were improved by 1.0 percentage points and 2.94 percentage points,respectively.Specifically,the rank-1 accuracies were outperformed by 0.86 percentage points and 0.12 percentage points,respectively,compared with the convolution block attention module(CBAM)and efficient channel attention(ECA)modules,although 0.94 percentage points were lower than that of squeeze-and-excitation(SE)modules.The mAP metric values were exceeded by 0.22,0.86 and 0.12 percentage points,respectively,compared with the SE,CBAM,and ECA modules.Additionally,the Cross-Entropy Loss function was replaced with the CosFace Loss function in the global branch of baseline model.CosFace Loss and Hard Triplet Loss were jointly employed to train the baseline model for the better identification on the similar individuals.AlignedReID++with CosFace Loss was outperformed the baseline model by 0.24 and 0.92 percentage points in the rank-1 accuracy and mAP,respectively,whereas,AlignedReID++with ArcFace Loss was exceeded by 0.36 and 0.56 percentage points,respectively.The improved model with the TA modules and CosFace Loss was achieved in a rank-1 accuracy of 94.42%,rank-5 accuracy of 98.78%,rank-10 accuracy of 99.34%,mAP of 63.90%,FLOPs of 5.45 G,frames per second(FPS)of 5.64,and model size of 23.78 M.The rank-1 accuracies were exceeded by 1.84,4.72,0.76 and 5.36 percentage points,respectively,compared with the baseline model,part-based convolutional baseline(PCB),multiple granularity network(MGN),and relation-aware global attention(RGA),while the mAP metrics were surpassed 6.42,5.86,4.30 and 7.38 percentage points,respectively.Meanwhile,the rank-1 accuracy was 0.98 percentage points lower than TransReID,but the mAP metric was exceeded by 3.90 percentage points.Moreover,the FLOPs of improved model were only 0.05 G larger than that of baseline model,while smaller than those of PCB,MGN,RGA,and TransReID by 0.68,6.51,25.4,and 16.55 G,respectively.The model size of improved model was 23.78 M,which was smaller than those of the baseline model,PCB,MGN,RGA,and TransReID by 0.03,2.33,45.06,14.53 and 62.85 M,respectively.The inference speed of improved model on a CPU was lower than those of PCB,MGN,and baseline model,but higher than TransReID and RGA.The t-SNE feature embedding visualization demonstrated that the global and local features were achieve in the better intra-class compactness and inter-class variability.Therefore,the improved model can be expected to effectively re-identify the beef cattle in natural environments of breeding farm,in order to monitor the individual feed intake and feeding time.展开更多
OBJECTIVE To establish a method for primary cultured and iden-tified Sprague-Dawley(SD) rats cerebral cortical astrocytes. METHODS Cerebral co-rtex of SD neonatal rats within 24 h was taken with stereo microscope and ...OBJECTIVE To establish a method for primary cultured and iden-tified Sprague-Dawley(SD) rats cerebral cortical astrocytes. METHODS Cerebral co-rtex of SD neonatal rats within 24 h was taken with stereo microscope and was cut topieces(1 mm^3),digested by Accutase and 0.1% DNAase(37℃,15 min),anddispersed cell suspension was made by mechanical method and filtered. The fibroblast cells and microglia were removed through differential adhesion and sha-ke. Passaged cells were identified by immunofluorescent with anti-Glial fibrillaryacidic protein(GFAP) antibody. RESULTS The astrocytes of rats cerebral cortex were cultured in this method,which had a large number of cells,good activity,high purity,abundant and elongated cell processes,and were interwoven into a network,showing a typical and good growth state. The third generation of the cel s comprised >95% astrocytes. CONCLUSION This simple and reliable cultivation method of astrocyte from rat cerebral tissue is established with high purity,and in a good growth condition.展开更多
The structure of bupirimate was identified by using MS and NMR.The structures of 10 impurities were identified by using GC-MS.The method provides a powerful tool for structure analysis special in complex samples.
No study has been performed on identifying microRNAs(miRNAs) and their targets in cotton although cotton is one of the most important fiber and economic crops around the world.In this study,
DOI全称数字对象唯一标识符（digital object unique identifier）。1998年美国出版协会（the Association of America Publishers,AAP）创立非营利性组织国际DOI基金会（international DOI foundation,http：//www.doi.org）,建立并制...DOI全称数字对象唯一标识符（digital object unique identifier）。1998年美国出版协会（the Association of America Publishers,AAP）创立非营利性组织国际DOI基金会（international DOI foundation,http：//www.doi.org）,建立并制定了DOI国际标准。DOI像文献的身份证一样,具有唯一性和永久性,帮助出版社、作者保护知识产权,解决了死链等问题。多个国际大型出版商Elsevier、Blackwell、Wiley、Springer等都使用DOI对数字资源进行标识。各出版商、杂志社、期刊可通过DOI代理机构完成DOI申请和注册。展开更多
DOI全称数字对象唯一标识符（digital object unique identifier）。1998年美国出版协会（the Association of America Publishers,AAP）创立非营利性组织国际DOI基金会（international DOI foundation,http：//www.doi.org）,建立并制...DOI全称数字对象唯一标识符（digital object unique identifier）。1998年美国出版协会（the Association of America Publishers,AAP）创立非营利性组织国际DOI基金会（international DOI foundation,http：//www.doi.org）,建立并制定了DOI国际标准。DOI像文献的身份证一样,具有唯一性和永久性,帮助出版社、作者保护知识产权,解决了死链等问题。多个国际大型出版商Elsevier、Blackwell、Wiley、Springer等都使用DOI对数字资源进行标识。展开更多
Gene expression profiling at early stages(0～2 DPA) of fiber development in Gossypium hirsutum identified a number of transcription factors which were down regulated in fiberless mutants relative to wild type controls...Gene expression profiling at early stages(0～2 DPA) of fiber development in Gossypium hirsutum identified a number of transcription factors which were down regulated in fiberless mutants relative to wild type controls and which could play a role in controlling early fiber development.Chief among these was GhMYB25,a Mixta-like MYB gene.Transgenic GhMYB25-silenced cotton展开更多
We propose a BPNN based adaptive sliding mode control scheme for speed tracking of a DC motor with unknown system nonlinearities. The input-output linearization technique is used to cancel the nonlinearities, and outp...We propose a BPNN based adaptive sliding mode control scheme for speed tracking of a DC motor with unknown system nonlinearities. The input-output linearization technique is used to cancel the nonlinearities, and output of the BPNN is incorporated into the controller in the proposed scheme. It is shown that the rotor speed of a DC motor can follow any arbitrarily selected trajectories under variable load torque. Then the application of the approach is tested via some simulations.展开更多
基金National Key Research and Development Program(2023YFD1301801)National Natural Science Foundation of China(32272931)+1 种基金Shaanxi Province Agricultural Key Core Technology Project(2024NYGG005)Shaanxi Province Key R&D Program(2024NC-ZDCYL-05-12)。
文摘Accurate and continuous identification of individual cattle is crucial to precision farming in recent years.It is also the prerequisite to monitor the individual feed intake and feeding time of beef cattle at medium to long distances over different cameras.However,beef cattle can tend to frequently move and change their feeding position during feeding.Furthermore,the great variations in their head direction and complex environments(light,occlusion,and background)can also lead to some difficulties in the recognition,particularly for the bio-similarities among individual cattle.Among them,AlignedReID++model is characterized by both global and local information for image matching.In particular,the dynamically matching local information(DMLI)algorithm has been introduced into the local branch to automatically align the horizontal local information.In this research,the AlignedReID++model was utilized and improved to achieve the better performance in cattle re-identification(ReID).Initially,triplet attention(TA)modules were integrated into the BottleNecks of ResNet50 Backbone.The feature extraction was then enhanced through cross-dimensional interactions with the minimal computational overhead.Since the TA modules in AlignedReID++baseline model increased the model size and floating point operations(FLOPs)by 0.005 M and 0.05 G,the rank-1 accuracy and mean average precision(mAP)were improved by 1.0 percentage points and 2.94 percentage points,respectively.Specifically,the rank-1 accuracies were outperformed by 0.86 percentage points and 0.12 percentage points,respectively,compared with the convolution block attention module(CBAM)and efficient channel attention(ECA)modules,although 0.94 percentage points were lower than that of squeeze-and-excitation(SE)modules.The mAP metric values were exceeded by 0.22,0.86 and 0.12 percentage points,respectively,compared with the SE,CBAM,and ECA modules.Additionally,the Cross-Entropy Loss function was replaced with the CosFace Loss function in the global branch of baseline model.CosFace Loss and Hard Triplet Loss were jointly employed to train the baseline model for the better identification on the similar individuals.AlignedReID++with CosFace Loss was outperformed the baseline model by 0.24 and 0.92 percentage points in the rank-1 accuracy and mAP,respectively,whereas,AlignedReID++with ArcFace Loss was exceeded by 0.36 and 0.56 percentage points,respectively.The improved model with the TA modules and CosFace Loss was achieved in a rank-1 accuracy of 94.42%,rank-5 accuracy of 98.78%,rank-10 accuracy of 99.34%,mAP of 63.90%,FLOPs of 5.45 G,frames per second(FPS)of 5.64,and model size of 23.78 M.The rank-1 accuracies were exceeded by 1.84,4.72,0.76 and 5.36 percentage points,respectively,compared with the baseline model,part-based convolutional baseline(PCB),multiple granularity network(MGN),and relation-aware global attention(RGA),while the mAP metrics were surpassed 6.42,5.86,4.30 and 7.38 percentage points,respectively.Meanwhile,the rank-1 accuracy was 0.98 percentage points lower than TransReID,but the mAP metric was exceeded by 3.90 percentage points.Moreover,the FLOPs of improved model were only 0.05 G larger than that of baseline model,while smaller than those of PCB,MGN,RGA,and TransReID by 0.68,6.51,25.4,and 16.55 G,respectively.The model size of improved model was 23.78 M,which was smaller than those of the baseline model,PCB,MGN,RGA,and TransReID by 0.03,2.33,45.06,14.53 and 62.85 M,respectively.The inference speed of improved model on a CPU was lower than those of PCB,MGN,and baseline model,but higher than TransReID and RGA.The t-SNE feature embedding visualization demonstrated that the global and local features were achieve in the better intra-class compactness and inter-class variability.Therefore,the improved model can be expected to effectively re-identify the beef cattle in natural environments of breeding farm,in order to monitor the individual feed intake and feeding time.
文摘OBJECTIVE To establish a method for primary cultured and iden-tified Sprague-Dawley(SD) rats cerebral cortical astrocytes. METHODS Cerebral co-rtex of SD neonatal rats within 24 h was taken with stereo microscope and was cut topieces(1 mm^3),digested by Accutase and 0.1% DNAase(37℃,15 min),anddispersed cell suspension was made by mechanical method and filtered. The fibroblast cells and microglia were removed through differential adhesion and sha-ke. Passaged cells were identified by immunofluorescent with anti-Glial fibrillaryacidic protein(GFAP) antibody. RESULTS The astrocytes of rats cerebral cortex were cultured in this method,which had a large number of cells,good activity,high purity,abundant and elongated cell processes,and were interwoven into a network,showing a typical and good growth state. The third generation of the cel s comprised >95% astrocytes. CONCLUSION This simple and reliable cultivation method of astrocyte from rat cerebral tissue is established with high purity,and in a good growth condition.
文摘The structure of bupirimate was identified by using MS and NMR.The structures of 10 impurities were identified by using GC-MS.The method provides a powerful tool for structure analysis special in complex samples.
文摘No study has been performed on identifying microRNAs(miRNAs) and their targets in cotton although cotton is one of the most important fiber and economic crops around the world.In this study,
文摘DOI全称数字对象唯一标识符（digital object unique identifier）。1998年美国出版协会（the Association of America Publishers,AAP）创立非营利性组织国际DOI基金会（international DOI foundation,http：//www.doi.org）,建立并制定了DOI国际标准。DOI像文献的身份证一样,具有唯一性和永久性,帮助出版社、作者保护知识产权,解决了死链等问题。多个国际大型出版商Elsevier、Blackwell、Wiley、Springer等都使用DOI对数字资源进行标识。各出版商、杂志社、期刊可通过DOI代理机构完成DOI申请和注册。
文摘DOI全称数字对象唯一标识符（digital object unique identifier）。1998年美国出版协会（the Association of America Publishers,AAP）创立非营利性组织国际DOI基金会（international DOI foundation,http：//www.doi.org）,建立并制定了DOI国际标准。DOI像文献的身份证一样,具有唯一性和永久性,帮助出版社、作者保护知识产权,解决了死链等问题。多个国际大型出版商Elsevier、Blackwell、Wiley、Springer等都使用DOI对数字资源进行标识。
文摘Gene expression profiling at early stages(0～2 DPA) of fiber development in Gossypium hirsutum identified a number of transcription factors which were down regulated in fiberless mutants relative to wild type controls and which could play a role in controlling early fiber development.Chief among these was GhMYB25,a Mixta-like MYB gene.Transgenic GhMYB25-silenced cotton
文摘We propose a BPNN based adaptive sliding mode control scheme for speed tracking of a DC motor with unknown system nonlinearities. The input-output linearization technique is used to cancel the nonlinearities, and output of the BPNN is incorporated into the controller in the proposed scheme. It is shown that the rotor speed of a DC motor can follow any arbitrarily selected trajectories under variable load torque. Then the application of the approach is tested via some simulations.
