Lhasa’s bar street reveals a rich tapestry of characters with a curly hair braid,tattoos on his exposed arms and a scarf across his shoulders,Peng Peng looks like a Tibetan rock star.
After living in Bangkok for over eight years,moving to Beijing turned out to be a drastically different experienee.Everything felt different the climate,the sights,the sounds and even the smells.Sure,Bangkok boasts th...After living in Bangkok for over eight years,moving to Beijing turned out to be a drastically different experienee.Everything felt different the climate,the sights,the sounds and even the smells.Sure,Bangkok boasts the largest Chinatown on the planet but Chinatown-Bangkok and China are simply not the same.展开更多
Insufficient interfacial activity and poor wettability between fibers and matrix are the two main factors limiting the improvement of mechanical properties of Carbon Fiber Reinforced Plastics(CFRP).Owl feathers are kn...Insufficient interfacial activity and poor wettability between fibers and matrix are the two main factors limiting the improvement of mechanical properties of Carbon Fiber Reinforced Plastics(CFRP).Owl feathers are known for their unique compact structure;they are not only lightweight but also strong.In this study,an in-depth look at owl feathers was made and it found that owl feathers not only have the macro branches structure between feather shafts and branches but also have fine feather structures on the branches.The presence of these fine feather structures increases the specific surface area of the plume branches and allows neighboring plume branches to hook up with each other,forming an effective mechanical interlocking structure.These structures bring owl feathers excellent mechanical properties.Inspired by the natural structure of owl feathers,a weaving technique and a sizing process were combined to prepare bionic Carbon Fiber(CF)fabrics and then to fabricate the bionic CFRP with structural characteristics similar to owl feathers.To evaluate the effect of the fine feather structure on the mechanical properties of CFRP,a mechanical property study on CFRP with and without the fine feather imitation structure were conducted.The experimental results show that the introduction of the fine feather branch structure enhance the mechanical properties of CFRP significantly.Specifically,the tensile strength of the composites increased by 6.42%and 13.06%and the flexural strength increased by 8.02%and 16.87%in the 0°and 90°sample directions,respectively.These results provide a new design idea for the improvement of the mechanical properties of the CFRP,promoting the application of CFRP in engineering fields,such as automotive transportation,rail transit,aerospace,and construction.展开更多
Descriptive signs in radiology can aid in easier pattern recognition and quicker diagnosis.In spinal cord ischemia,paired anterior-horn T2-hyperintensities have traditionally been known as the“owl’s eyes”or“snake ...Descriptive signs in radiology can aid in easier pattern recognition and quicker diagnosis.In spinal cord ischemia,paired anterior-horn T2-hyperintensities have traditionally been known as the“owl’s eyes”or“snake eyes”sign.We discuss how these signs,while visually apt,convey no pathophysiologic context and propose renaming this finding the“snake bite sign”.The image still evokes two punctate marks,yet the metaphor extends to a snake bite(two fang-like dots)rather than two bright foci(eyes)staring back at the viewer.Moreover,besides the sign metaphorically resembling a traumatic puncture of the two fangs,on the occasion of a venomous snake bite occurring elsewhere,additional neurological consequences may occur,paralleling the neurological deficits seen in anterior spinal artery infarction and several mimicking myelopathies,thus further high-lighting the analogy.Such clinically driven terminology may facilitate teaching,enable diagnostic recall,and improve interdisciplinary communication.展开更多
With the development of the Semantic Web,the number of ontologies grows exponentially and the semantic relationships between ontologies become more and more complex,understanding the true semantics of specific terms o...With the development of the Semantic Web,the number of ontologies grows exponentially and the semantic relationships between ontologies become more and more complex,understanding the true semantics of specific terms or concepts in an ontology is crucial for the matching task.At present,the main challenges facing ontology matching tasks based on representation learning methods are how to improve the embedding quality of ontology knowledge and how to integrate multiple features of ontology efficiently.Therefore,we propose an Ontology Matching Method Based on the Gated Graph Attention Model(OM-GGAT).Firstly,the semantic knowledge related to concepts in the ontology is encoded into vectors using the OWL2Vec^(*)method,and the relevant path information from the root node to the concept is embedded to understand better the true meaning of the concept itself and the relationship between concepts.Secondly,the ontology is transformed into the corresponding graph structure according to the semantic relation.Then,when extracting the features of the ontology graph nodes,different attention weights are assigned to each adjacent node of the central concept with the help of the attention mechanism idea.Finally,gated networks are designed to further fuse semantic and structural embedding representations efficiently.To verify the effectiveness of the proposed method,comparative experiments on matching tasks were carried out on public datasets.The results show that the OM-GGAT model can effectively improve the efficiency of ontology matching.展开更多
文摘Lhasa’s bar street reveals a rich tapestry of characters with a curly hair braid,tattoos on his exposed arms and a scarf across his shoulders,Peng Peng looks like a Tibetan rock star.
文摘After living in Bangkok for over eight years,moving to Beijing turned out to be a drastically different experienee.Everything felt different the climate,the sights,the sounds and even the smells.Sure,Bangkok boasts the largest Chinatown on the planet but Chinatown-Bangkok and China are simply not the same.
基金supported by the Science and Technology Development Program of Jilin Province(No.20240101122JC)and(No.20240101143JC)the Key Scientific and Technological Research and Development Projects of Jilin Provincial Science and Technology Department(Grant Number 20230201108GX)。
文摘Insufficient interfacial activity and poor wettability between fibers and matrix are the two main factors limiting the improvement of mechanical properties of Carbon Fiber Reinforced Plastics(CFRP).Owl feathers are known for their unique compact structure;they are not only lightweight but also strong.In this study,an in-depth look at owl feathers was made and it found that owl feathers not only have the macro branches structure between feather shafts and branches but also have fine feather structures on the branches.The presence of these fine feather structures increases the specific surface area of the plume branches and allows neighboring plume branches to hook up with each other,forming an effective mechanical interlocking structure.These structures bring owl feathers excellent mechanical properties.Inspired by the natural structure of owl feathers,a weaving technique and a sizing process were combined to prepare bionic Carbon Fiber(CF)fabrics and then to fabricate the bionic CFRP with structural characteristics similar to owl feathers.To evaluate the effect of the fine feather structure on the mechanical properties of CFRP,a mechanical property study on CFRP with and without the fine feather imitation structure were conducted.The experimental results show that the introduction of the fine feather branch structure enhance the mechanical properties of CFRP significantly.Specifically,the tensile strength of the composites increased by 6.42%and 13.06%and the flexural strength increased by 8.02%and 16.87%in the 0°and 90°sample directions,respectively.These results provide a new design idea for the improvement of the mechanical properties of the CFRP,promoting the application of CFRP in engineering fields,such as automotive transportation,rail transit,aerospace,and construction.
文摘Descriptive signs in radiology can aid in easier pattern recognition and quicker diagnosis.In spinal cord ischemia,paired anterior-horn T2-hyperintensities have traditionally been known as the“owl’s eyes”or“snake eyes”sign.We discuss how these signs,while visually apt,convey no pathophysiologic context and propose renaming this finding the“snake bite sign”.The image still evokes two punctate marks,yet the metaphor extends to a snake bite(two fang-like dots)rather than two bright foci(eyes)staring back at the viewer.Moreover,besides the sign metaphorically resembling a traumatic puncture of the two fangs,on the occasion of a venomous snake bite occurring elsewhere,additional neurological consequences may occur,paralleling the neurological deficits seen in anterior spinal artery infarction and several mimicking myelopathies,thus further high-lighting the analogy.Such clinically driven terminology may facilitate teaching,enable diagnostic recall,and improve interdisciplinary communication.
基金supported by the National Natural Science Foundation of China(grant numbers 62267005 and 42365008)the Guangxi Collaborative Innovation Center of Multi-Source Information Integration and Intelligent Processing.
文摘With the development of the Semantic Web,the number of ontologies grows exponentially and the semantic relationships between ontologies become more and more complex,understanding the true semantics of specific terms or concepts in an ontology is crucial for the matching task.At present,the main challenges facing ontology matching tasks based on representation learning methods are how to improve the embedding quality of ontology knowledge and how to integrate multiple features of ontology efficiently.Therefore,we propose an Ontology Matching Method Based on the Gated Graph Attention Model(OM-GGAT).Firstly,the semantic knowledge related to concepts in the ontology is encoded into vectors using the OWL2Vec^(*)method,and the relevant path information from the root node to the concept is embedded to understand better the true meaning of the concept itself and the relationship between concepts.Secondly,the ontology is transformed into the corresponding graph structure according to the semantic relation.Then,when extracting the features of the ontology graph nodes,different attention weights are assigned to each adjacent node of the central concept with the help of the attention mechanism idea.Finally,gated networks are designed to further fuse semantic and structural embedding representations efficiently.To verify the effectiveness of the proposed method,comparative experiments on matching tasks were carried out on public datasets.The results show that the OM-GGAT model can effectively improve the efficiency of ontology matching.
