Heart failure(HF)has emerged as one of the foremost global health threats due to its intricate pathophysiological mechanisms and multifactorial etiology.Adeno-sine triphosphate(ATP)-induced cell death represents a nov...Heart failure(HF)has emerged as one of the foremost global health threats due to its intricate pathophysiological mechanisms and multifactorial etiology.Adeno-sine triphosphate(ATP)-induced cell death represents a novel form of regulated cell deaths,marked by cellular energy depletion and metabolic dysregulation stemming from excessive ATP accumulation,identifying its uniqueness compared to other cell death processes modalities such as programmed cell death and necrosis.Growing evidence suggests that ATP-induced cell death(AICD)is predominantly governed by various biological pathways,including energy meta-bolism,redox homeostasis and intracellular calcium equilibrium.Recent research has shown that AICD is crucial in HF induced by pathological conditions like myocardial infarction,ischemia-reperfusion injury,and chemotherapy.Thus,it is essential to investigate the function of AICD in the pathogenesis of HF,as this may provide a foundation for the development of targeted therapies and novel treatment strategies.This review synthesizes current advancements in under-standing the link between AICD and HF,while further elucidating its invol-vement in cardiac remodeling and HF progression.展开更多
The implicit partition algorithm used to solve fluid–structure coupling problems has high accuracy,but it requires a long computation time.In this paper,a semi-implicit fluid–structure coupling algorithm based on mo...The implicit partition algorithm used to solve fluid–structure coupling problems has high accuracy,but it requires a long computation time.In this paper,a semi-implicit fluid–structure coupling algorithm based on modal force prediction-correction is proposed to improve the computational efficiency.In the pre-processing stage,the fluid domain is assumed to be a pseudo-elastic solid and merged with the solid domain to form a holistic system,and the normalized modal information of the holistic system is calculated and stored.During the sub-step cycle,the modal superposition method is used to obtain the response of the holistic system with the predicted modal force as the load,so that the deformation of the structure and the updating of the fluid mesh can be achieved simultaneously.After solving the Reynolds-averaged Navier-Stokes equations in the fluid domain,the predicted modal force is corrected and a new sub-step cycle is started until the converged result is obtained.In this method,the computation of the fluid equations and the updating of the dynamic mesh are done implicitly,while the deformation of the structure is done explicitly.Two numerical cases,vortex induced oscillation of an elastic beam and fluid–structure interaction of a final stage blade,are used to verify the efficiency and accuracy of the proposed algorithm.The results show that the proposed method achieves the same accuracy as the implicit method while the computational time is reduced.In the case of the vortex-induced oscillation problem,the computational time can be reduced to 18.6%.In the case of the final stage blade vibration,the computational time can be reduced to 53.8%.展开更多
为保障复杂装备技术状态管理的有效集成和多方协同,实现技术状态管理业务数据的双重有序管控,提出基于领域系统(domain system,DS)的建模架构和设计方法。通过引入基于模式的系统工程(pattern-based system engineering,PBSE)框架,构建...为保障复杂装备技术状态管理的有效集成和多方协同,实现技术状态管理业务数据的双重有序管控,提出基于领域系统(domain system,DS)的建模架构和设计方法。通过引入基于模式的系统工程(pattern-based system engineering,PBSE)框架,构建基于DS的复杂装备技术状态管理基本架构,设计DS元模型、DS模型、DS模式的建模方法,将国防部体系架构元模型(Department of Defense Architecture framework metamodel,DM2)进行复杂装备技术状态管理领域化重组为DS元模型,并通过领域元数据映射为DS模型,使其有序组织为适用于具体装备技术状态管理的DS模式。为验证所提方法的有效性,以运载火箭结构系统多视图物料清单(X bill of material,XBOM)为案例,开展基于DS的技术状态管理应用。结果表明,所提方法可为其技术状态管理提供兼具建模的一致性和可追溯性的实施方案,为复杂装备技术状态管理的领域模型配置提供指导性思路。展开更多
目的谎言检测通过分析个体的生理行为特征来识别其是否说谎,在刑侦和安全审查等领域具有重要应用。然而,目前缺乏公开的中文测谎数据集,考虑到语言和文化方面的差异,基于英文数据集研发的算法可能难以适用于中文语境。此外,现有数据集...目的谎言检测通过分析个体的生理行为特征来识别其是否说谎,在刑侦和安全审查等领域具有重要应用。然而,目前缺乏公开的中文测谎数据集,考虑到语言和文化方面的差异,基于英文数据集研发的算法可能难以适用于中文语境。此外,现有数据集样本规模有限,在激发被试说谎动机方面存在不足。针对这些问题,构建了首个公开的中文多模态测谎数据集(Southeast University multimodal lie detection dataset,SEUMLD)。方法实验基于犯罪知识测试范式,设计了模拟犯罪和模拟审讯等流程以激发被试的说谎动机。通过记录被试在模拟审讯过程中的多模态信号,SEUMLD包含了长期生活在中文语境下的76位被试的视频、音频以及心电3种模态数据,共计3224段对话。该数据集不仅提供了用于判断被试是否说谎的长会话标注(粗粒度标注),还提供了每段长会话细化分割的精准标注(细粒度标注)。基于SEUMLD,设计了跨语种实验以验证语言文化差异对说谎行为的影响;通过迁移学习实验评估其在提升模型泛化能力上的性能;最后基于经典谎言检测方法对SEUMLD进行了基准实验。结果跨语种测谎实验在中英文语境下表现出了显著差异。迁移学习实验验证了SEUMLD在提升模型泛化能力上的优异表现。基准实验结果显示,基于单模态的粗粒度和细粒度测谎的最佳未加权平均召回率(unweighted average recall,UAR)识别结果分别为0.7576和0.7096;融合了多模态信息后的测谎性能达到最佳,粗粒度检测和细粒度测谎的识别结果分别为0.8083和0.7379。结论SEUMLD为研究中文语境下的多模态测谎提供了重要的数据来源,对未来研究中文母语者的说谎模式具有重要意义。数据集开源地址:https://aip.seu.edu.cn/2024/1219/c54084a515309/page.htm或https://doi.org/10.57760/sciencedb.22548。展开更多
基金Supported by Science and Technology Department of Yunnan Province-Kunming Medical University,Kunming Medical Joint Special Project-Surface Project,No.202401AY070001-164Yunnan Provincial Clinical Research Center Cardiovascular Diseases-New Technology Research for Development Project for Diagnosis and Treatment Cardiovascular Diseases,No.202102AA310002the Key Technology Research and Device Development Project for Innovative Diagnosis and Treatment of Structural Heart Disease in the Southwest Plateau Region,No.202302AA310045.
文摘Heart failure(HF)has emerged as one of the foremost global health threats due to its intricate pathophysiological mechanisms and multifactorial etiology.Adeno-sine triphosphate(ATP)-induced cell death represents a novel form of regulated cell deaths,marked by cellular energy depletion and metabolic dysregulation stemming from excessive ATP accumulation,identifying its uniqueness compared to other cell death processes modalities such as programmed cell death and necrosis.Growing evidence suggests that ATP-induced cell death(AICD)is predominantly governed by various biological pathways,including energy meta-bolism,redox homeostasis and intracellular calcium equilibrium.Recent research has shown that AICD is crucial in HF induced by pathological conditions like myocardial infarction,ischemia-reperfusion injury,and chemotherapy.Thus,it is essential to investigate the function of AICD in the pathogenesis of HF,as this may provide a foundation for the development of targeted therapies and novel treatment strategies.This review synthesizes current advancements in under-standing the link between AICD and HF,while further elucidating its invol-vement in cardiac remodeling and HF progression.
基金support of the National Natural Science Foundation of China(No.51675406)the Basic Research Project Group,China(No.514010106-205)。
文摘The implicit partition algorithm used to solve fluid–structure coupling problems has high accuracy,but it requires a long computation time.In this paper,a semi-implicit fluid–structure coupling algorithm based on modal force prediction-correction is proposed to improve the computational efficiency.In the pre-processing stage,the fluid domain is assumed to be a pseudo-elastic solid and merged with the solid domain to form a holistic system,and the normalized modal information of the holistic system is calculated and stored.During the sub-step cycle,the modal superposition method is used to obtain the response of the holistic system with the predicted modal force as the load,so that the deformation of the structure and the updating of the fluid mesh can be achieved simultaneously.After solving the Reynolds-averaged Navier-Stokes equations in the fluid domain,the predicted modal force is corrected and a new sub-step cycle is started until the converged result is obtained.In this method,the computation of the fluid equations and the updating of the dynamic mesh are done implicitly,while the deformation of the structure is done explicitly.Two numerical cases,vortex induced oscillation of an elastic beam and fluid–structure interaction of a final stage blade,are used to verify the efficiency and accuracy of the proposed algorithm.The results show that the proposed method achieves the same accuracy as the implicit method while the computational time is reduced.In the case of the vortex-induced oscillation problem,the computational time can be reduced to 18.6%.In the case of the final stage blade vibration,the computational time can be reduced to 53.8%.
文摘为保障复杂装备技术状态管理的有效集成和多方协同,实现技术状态管理业务数据的双重有序管控,提出基于领域系统(domain system,DS)的建模架构和设计方法。通过引入基于模式的系统工程(pattern-based system engineering,PBSE)框架,构建基于DS的复杂装备技术状态管理基本架构,设计DS元模型、DS模型、DS模式的建模方法,将国防部体系架构元模型(Department of Defense Architecture framework metamodel,DM2)进行复杂装备技术状态管理领域化重组为DS元模型,并通过领域元数据映射为DS模型,使其有序组织为适用于具体装备技术状态管理的DS模式。为验证所提方法的有效性,以运载火箭结构系统多视图物料清单(X bill of material,XBOM)为案例,开展基于DS的技术状态管理应用。结果表明,所提方法可为其技术状态管理提供兼具建模的一致性和可追溯性的实施方案,为复杂装备技术状态管理的领域模型配置提供指导性思路。
文摘目的谎言检测通过分析个体的生理行为特征来识别其是否说谎,在刑侦和安全审查等领域具有重要应用。然而,目前缺乏公开的中文测谎数据集,考虑到语言和文化方面的差异,基于英文数据集研发的算法可能难以适用于中文语境。此外,现有数据集样本规模有限,在激发被试说谎动机方面存在不足。针对这些问题,构建了首个公开的中文多模态测谎数据集(Southeast University multimodal lie detection dataset,SEUMLD)。方法实验基于犯罪知识测试范式,设计了模拟犯罪和模拟审讯等流程以激发被试的说谎动机。通过记录被试在模拟审讯过程中的多模态信号,SEUMLD包含了长期生活在中文语境下的76位被试的视频、音频以及心电3种模态数据,共计3224段对话。该数据集不仅提供了用于判断被试是否说谎的长会话标注(粗粒度标注),还提供了每段长会话细化分割的精准标注(细粒度标注)。基于SEUMLD,设计了跨语种实验以验证语言文化差异对说谎行为的影响;通过迁移学习实验评估其在提升模型泛化能力上的性能;最后基于经典谎言检测方法对SEUMLD进行了基准实验。结果跨语种测谎实验在中英文语境下表现出了显著差异。迁移学习实验验证了SEUMLD在提升模型泛化能力上的优异表现。基准实验结果显示,基于单模态的粗粒度和细粒度测谎的最佳未加权平均召回率(unweighted average recall,UAR)识别结果分别为0.7576和0.7096;融合了多模态信息后的测谎性能达到最佳,粗粒度检测和细粒度测谎的识别结果分别为0.8083和0.7379。结论SEUMLD为研究中文语境下的多模态测谎提供了重要的数据来源,对未来研究中文母语者的说谎模式具有重要意义。数据集开源地址:https://aip.seu.edu.cn/2024/1219/c54084a515309/page.htm或https://doi.org/10.57760/sciencedb.22548。
