Myocardial damage resulting from acute myocardial infarction often leads to progressive heart failure and sudden death,highlighting the urgent clinical need for effective therapies.Recently,tanshinoneⅡA has been iden...Myocardial damage resulting from acute myocardial infarction often leads to progressive heart failure and sudden death,highlighting the urgent clinical need for effective therapies.Recently,tanshinoneⅡA has been identified as a promising therapeutic agent for myocardial infarction.However,efficient delivery remains a major issue that limits clinical translation.To address this problem,an injectable thermosensitive poly(lactic acid-co-glycolic acid)-block-poly(ethylene glycol)-block-poly(lactic acid-co-glycolic acid)gel(PLGA-PEG-PLGA)system encapsulating tanshinoneⅡA-loaded reactive oxygen species-sensitive microspheres(Gel-MS/tanshinoneⅡA)has been designed and synthesized in this study.The thermosensitive hydrogel exhibits good mechanical properties after reaching body temperature.Microspheres initially immobilized by the gel exhibit excellent reactive oxygen species-triggered release properties in a high-reactive oxygen species environment after myocardial infarction onset.As a result,encapsulated tanshinoneⅡA is effectively released into the infarcted myocardium,where it exerts local anti-pyroptotic and anti-inflammatory effects.Importantly,the combined advantages of this technique contribute to the mitigation of left ventricular remodeling and the restoration of cardiac function following tanshinoneⅡA.Therefore,this novel,precision-guided intra-tissue therapeutic system allows for customized local release of tanshinoneⅡA,presenting a promising alternative treatment strategy aimed at inducing beneficial ventricular remodeling in the post-infarct heart.展开更多
Smart manufacturing is critical in improving the quality of the process industry. In smart manufacturing, there is a trend to incorporate different kinds of new-generation information technologies into process- safety...Smart manufacturing is critical in improving the quality of the process industry. In smart manufacturing, there is a trend to incorporate different kinds of new-generation information technologies into process- safety analysis. At present, green manufacturing is facing major obstacles related to safety management, due to the usage of large amounts of hazardous chemicals, resulting in spatial inhomogeneity of chemical industrial processes and increasingly stringent safety and environmental regulations. Emerging informa- tion technologies such as arti cial intelligence (AI) are quite promising as a means of overcoming these dif culties. Based on state-of-the-art AI methods and the complex safety relations in the process industry, we identify and discuss several technical challenges associated with process safety: ① knowledge acquisition with scarce labels for process safety;② knowledge-based reasoning for process safety;③ accurate fusion of heterogeneous data from various sources;and ④ effective learning for dynamic risk assessment and aided decision-making. Current and future works are also discussed in this context.展开更多
Objective Atherosclerosis(AS),a chronic inflammatory disease,is the basis of cardiovascular disease(CVD).Although the treatment has been greatly improved,AS still imposes a large burden on human health and the medical...Objective Atherosclerosis(AS),a chronic inflammatory disease,is the basis of cardiovascular disease(CVD).Although the treatment has been greatly improved,AS still imposes a large burden on human health and the medical system,and we still need to further study its pathogenesis.As a novel biomolecule,transfer RNA-derived fragments(tRFs)play a key role in the progression of various disease.However,whether tRFs contribute to atherosclerosis pathogenesis remains unexplored.Methods With deep sequencing technology,the change of tRFs expression profiles in patients with AS compared to healthy control group was identified.The accuracy of the sequencing data was validated using RT qPCR.Subsequently,we predicted the potential target genes of tRFs by online miRNA target prediction algorithms.The potential functions of tRFs were evaluated with Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analyses.Results There were 13 tRFs differentially expressed between patients with AS and healthy controls,of which 2 were up-regulated and 11 were down-regulated.Validation by RT-qPCR analysis confirmed the sequencing results,and tRF-Gly-GCC-009 was highly up-regulated in the AS group based on the results of sequencing which was confirmed by RT-qPCR analysis.Furthermore,GO enrichment and KEGG pathway analyses indicated that 10 signaling pathways were related to tRF-Gly-GCC-009.These pathways might be physiopathological fundamentals of AS,mainly involving in Apelin signaling,Notch signaling and calcium signaling.Conclusion The results of our study provide important novel insight into the underlying pathogenesis and demonstrate that tRFs might be potential biomarkers and therapeutic targets for AS in the future.展开更多
Objective:Cardiac remodeling when myocardial infarction(MI)is achieved is an established prognostic factor for function-related damage and failure of hear that happen progressively.Tongguan Capsules(TGC),i.e.,a Chines...Objective:Cardiac remodeling when myocardial infarction(MI)is achieved is an established prognostic factor for function-related damage and failure of hear that happen progressively.Tongguan Capsules(TGC),i.e.,a Chinese herbal treatment with patent has been previously demonstrated its potential benefits in cardiac function,but little is known about related mechanisms.This study sought to isolate and characterize exosomal circRNA profiles from post-MI cardiac remodeling patients in response to TGC,and further explore the possible molecular mechanisms.Methods:Exosomes were isolated from the plasma and analyzed by the detection of protein marker expression and transmission electron microscopy.This study employed DESeq2 package within Bioconductor for exploring circRNAs and determining the circRNA with differential expressions.Co-expression investigation was performed with the use of a weighted correlation framework.An investigation was conducted on the molecular framework and channels of different circRNA based on the investigation system of the and Kyoto Encyclopedia of Genes and Genomes(KEGG)Gene Ontology(GO)channels.The prediction was conducted for circRNA-miRNA interactions on the basis of frequently employed target prediction software,and the framework was built with the use of Cytoscape software.Results:In total,33084 circRNAs were detected in all chromosomes and 10065 circRNAs were identified with the use of circBase.Of them,40,207 and 258 differentially expressed circRNAs were detected between the MI group and control,MI and TGC groups,and the control and TGC groups.The differentially expressed circRNAs between the MI group and control,MI group and TGC group,and control and TGC group were significantly enriched in microtubule nucleation(BP,GO:0007020),protein binding(MF,GO:0005515),regulation of natural killer cell mediated cytotoxicity(BP,GO:0042269)corresponding to the cell cycle(hsa04110),lysine degradation(hsa00310)and lysine degradation(hsa00310)in KEGG channel investigation.Module_darkorange2 indicated the most differentiation with other modules by WGCNA investigation.This study employed a total of 14 circRNAs and 8 miRNAs which have significant interactions with each other for building the circRNA-miRNA frameworks,which indicated that has-miR-619-5p,has-miR-1268a and hasmiR-1285‐3p were under the regulation of a higher amount of circRNAs as compared with other miRNAs.Conclusion:In conclusion,different mechanisms and channels participated in the pathological processes associated with cardiac remodeling following MI.The altered circRNAs are likely to be critical to the cardioprotection of TGC through the circRNA-miRNA frameworks.展开更多
In this paper,we develop an exhaustive numerical simulator for the dynamic visualization and behavior prediction of the tether-net system during the whole space debris capture phases,including spread,contact,and close...In this paper,we develop an exhaustive numerical simulator for the dynamic visualization and behavior prediction of the tether-net system during the whole space debris capture phases,including spread,contact,and close.First of all,to perform its geometrically nonlinear deformation,discrete different geometry theory is applied to model the mechanical response of a flexible net.Based on the discretization of the whole structure into multiple vertexes and lines,the internal force and associated Hession are derived in a closed form to solve a series of nonlinear dynamic equations of motion.The spread and deployment of a packaged net can be realized using this well-established net solver.Next,a multidimensional incremental potential formulation is selected to achieve the intersection-free boundary nonlinear contact and collision between the deformable net and rigid debris.Finally,for the closing mechanism analysis,a log-like barrier functional is derived to achieve the nondeviation condition between the ring–rod linkage system.The C2 continuous log barrier functionals constructed for both the contact model and the linkage system are smooth and differentiable,and,therefore,the nonlinear net capture dynamic system can be efficiently solved through a fully implicit time integrator.Overall,as a demonstration,the whole capture process of a defunct satellite using a hexagon net is simulated through our well-established numerical framework.We believe that our comprehensive numerical methods could provide new insight into the optimal design of active debris removal systems and promote further development of the online control of tether tugging systems.展开更多
Considering the popularity of electric vehicles and the flexibility of household appliances,it is feasible to dispatch energy in home energy systems under dynamic electricity prices to optimize electricity cost and co...Considering the popularity of electric vehicles and the flexibility of household appliances,it is feasible to dispatch energy in home energy systems under dynamic electricity prices to optimize electricity cost and comfort residents.In this paper,a novel home energy management(HEM)approach is proposed based on a data-driven deep reinforcement learning method.First,to reveal the multiple uncertain factors affecting the charging behavior of electric vehicles(EVs),an improved mathematical model integrating driver’s experience,unexpected events,and traffic conditions is introduced to describe the dynamic energy demand of EVs in home energy systems.Second,a decoupled advantage actor-critic(DA2C)algorithm is presented to enhance the energy optimization performance by alleviating the overfitting problem caused by the shared policy and value networks.Furthermore,separate networks for the policy and value functions ensure the generalization of the proposed method in unseen scenarios.Finally,comprehensive experiments are carried out to compare the proposed approach with existing methods,and the results show that the proposed method can optimize electricity cost and consider the residential comfort level in different scenarios.展开更多
基金supported by the National Natural Science Foundation of China(82104962,82104647,82274271)Scientific Research Project of Guangdong Provincial Administration of Traditional Chinese Medicine(20211070)+2 种基金Science and Technology Planning Project of Guangzhou(202102010301)Young Talents Support Project from China Association of Chinese Medicine(2019-QNRC2-C06)Team of Prevention and Treatment of Acute Myocardial Infarction with Chinese Medicine(2019KCXTD009)
文摘Myocardial damage resulting from acute myocardial infarction often leads to progressive heart failure and sudden death,highlighting the urgent clinical need for effective therapies.Recently,tanshinoneⅡA has been identified as a promising therapeutic agent for myocardial infarction.However,efficient delivery remains a major issue that limits clinical translation.To address this problem,an injectable thermosensitive poly(lactic acid-co-glycolic acid)-block-poly(ethylene glycol)-block-poly(lactic acid-co-glycolic acid)gel(PLGA-PEG-PLGA)system encapsulating tanshinoneⅡA-loaded reactive oxygen species-sensitive microspheres(Gel-MS/tanshinoneⅡA)has been designed and synthesized in this study.The thermosensitive hydrogel exhibits good mechanical properties after reaching body temperature.Microspheres initially immobilized by the gel exhibit excellent reactive oxygen species-triggered release properties in a high-reactive oxygen species environment after myocardial infarction onset.As a result,encapsulated tanshinoneⅡA is effectively released into the infarcted myocardium,where it exerts local anti-pyroptotic and anti-inflammatory effects.Importantly,the combined advantages of this technique contribute to the mitigation of left ventricular remodeling and the restoration of cardiac function following tanshinoneⅡA.Therefore,this novel,precision-guided intra-tissue therapeutic system allows for customized local release of tanshinoneⅡA,presenting a promising alternative treatment strategy aimed at inducing beneficial ventricular remodeling in the post-infarct heart.
文摘Smart manufacturing is critical in improving the quality of the process industry. In smart manufacturing, there is a trend to incorporate different kinds of new-generation information technologies into process- safety analysis. At present, green manufacturing is facing major obstacles related to safety management, due to the usage of large amounts of hazardous chemicals, resulting in spatial inhomogeneity of chemical industrial processes and increasingly stringent safety and environmental regulations. Emerging informa- tion technologies such as arti cial intelligence (AI) are quite promising as a means of overcoming these dif culties. Based on state-of-the-art AI methods and the complex safety relations in the process industry, we identify and discuss several technical challenges associated with process safety: ① knowledge acquisition with scarce labels for process safety;② knowledge-based reasoning for process safety;③ accurate fusion of heterogeneous data from various sources;and ④ effective learning for dynamic risk assessment and aided decision-making. Current and future works are also discussed in this context.
基金supported by grants from the National Natural Science Foundation of China(No.82000441)Shandong Provincial Natural Science Foundation,China(No.ZR201911090321)+2 种基金Medicine and Health Science Technology Development Program of Shandong Province(No.2018WS050)Shandong Province Traditional Chinese Medicine Science and Technology Development Plan of Shandong Province(No.2019-0426)Shandong Province Higher Educational Science and Technology Program for Youth Innovation(No.2020KJL004).
文摘Objective Atherosclerosis(AS),a chronic inflammatory disease,is the basis of cardiovascular disease(CVD).Although the treatment has been greatly improved,AS still imposes a large burden on human health and the medical system,and we still need to further study its pathogenesis.As a novel biomolecule,transfer RNA-derived fragments(tRFs)play a key role in the progression of various disease.However,whether tRFs contribute to atherosclerosis pathogenesis remains unexplored.Methods With deep sequencing technology,the change of tRFs expression profiles in patients with AS compared to healthy control group was identified.The accuracy of the sequencing data was validated using RT qPCR.Subsequently,we predicted the potential target genes of tRFs by online miRNA target prediction algorithms.The potential functions of tRFs were evaluated with Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analyses.Results There were 13 tRFs differentially expressed between patients with AS and healthy controls,of which 2 were up-regulated and 11 were down-regulated.Validation by RT-qPCR analysis confirmed the sequencing results,and tRF-Gly-GCC-009 was highly up-regulated in the AS group based on the results of sequencing which was confirmed by RT-qPCR analysis.Furthermore,GO enrichment and KEGG pathway analyses indicated that 10 signaling pathways were related to tRF-Gly-GCC-009.These pathways might be physiopathological fundamentals of AS,mainly involving in Apelin signaling,Notch signaling and calcium signaling.Conclusion The results of our study provide important novel insight into the underlying pathogenesis and demonstrate that tRFs might be potential biomarkers and therapeutic targets for AS in the future.
文摘Objective:Cardiac remodeling when myocardial infarction(MI)is achieved is an established prognostic factor for function-related damage and failure of hear that happen progressively.Tongguan Capsules(TGC),i.e.,a Chinese herbal treatment with patent has been previously demonstrated its potential benefits in cardiac function,but little is known about related mechanisms.This study sought to isolate and characterize exosomal circRNA profiles from post-MI cardiac remodeling patients in response to TGC,and further explore the possible molecular mechanisms.Methods:Exosomes were isolated from the plasma and analyzed by the detection of protein marker expression and transmission electron microscopy.This study employed DESeq2 package within Bioconductor for exploring circRNAs and determining the circRNA with differential expressions.Co-expression investigation was performed with the use of a weighted correlation framework.An investigation was conducted on the molecular framework and channels of different circRNA based on the investigation system of the and Kyoto Encyclopedia of Genes and Genomes(KEGG)Gene Ontology(GO)channels.The prediction was conducted for circRNA-miRNA interactions on the basis of frequently employed target prediction software,and the framework was built with the use of Cytoscape software.Results:In total,33084 circRNAs were detected in all chromosomes and 10065 circRNAs were identified with the use of circBase.Of them,40,207 and 258 differentially expressed circRNAs were detected between the MI group and control,MI and TGC groups,and the control and TGC groups.The differentially expressed circRNAs between the MI group and control,MI group and TGC group,and control and TGC group were significantly enriched in microtubule nucleation(BP,GO:0007020),protein binding(MF,GO:0005515),regulation of natural killer cell mediated cytotoxicity(BP,GO:0042269)corresponding to the cell cycle(hsa04110),lysine degradation(hsa00310)and lysine degradation(hsa00310)in KEGG channel investigation.Module_darkorange2 indicated the most differentiation with other modules by WGCNA investigation.This study employed a total of 14 circRNAs and 8 miRNAs which have significant interactions with each other for building the circRNA-miRNA frameworks,which indicated that has-miR-619-5p,has-miR-1268a and hasmiR-1285‐3p were under the regulation of a higher amount of circRNAs as compared with other miRNAs.Conclusion:In conclusion,different mechanisms and channels participated in the pathological processes associated with cardiac remodeling following MI.The altered circRNAs are likely to be critical to the cardioprotection of TGC through the circRNA-miRNA frameworks.
基金Natural Science Foundation of Jiangsu Province,China,Grant/Award Number:BK20220794。
文摘In this paper,we develop an exhaustive numerical simulator for the dynamic visualization and behavior prediction of the tether-net system during the whole space debris capture phases,including spread,contact,and close.First of all,to perform its geometrically nonlinear deformation,discrete different geometry theory is applied to model the mechanical response of a flexible net.Based on the discretization of the whole structure into multiple vertexes and lines,the internal force and associated Hession are derived in a closed form to solve a series of nonlinear dynamic equations of motion.The spread and deployment of a packaged net can be realized using this well-established net solver.Next,a multidimensional incremental potential formulation is selected to achieve the intersection-free boundary nonlinear contact and collision between the deformable net and rigid debris.Finally,for the closing mechanism analysis,a log-like barrier functional is derived to achieve the nondeviation condition between the ring–rod linkage system.The C2 continuous log barrier functionals constructed for both the contact model and the linkage system are smooth and differentiable,and,therefore,the nonlinear net capture dynamic system can be efficiently solved through a fully implicit time integrator.Overall,as a demonstration,the whole capture process of a defunct satellite using a hexagon net is simulated through our well-established numerical framework.We believe that our comprehensive numerical methods could provide new insight into the optimal design of active debris removal systems and promote further development of the online control of tether tugging systems.
基金Project supported by the National Natural Science Foundation of China(Nos.62293502,62293500,62293504,62073138,and 62173147)the Fundamental Research Funds for the Central Universities,China(No.222202317006)the Nanyang Technological University Startup Grant and MOE Tier 1(No.RG59/22)。
文摘Considering the popularity of electric vehicles and the flexibility of household appliances,it is feasible to dispatch energy in home energy systems under dynamic electricity prices to optimize electricity cost and comfort residents.In this paper,a novel home energy management(HEM)approach is proposed based on a data-driven deep reinforcement learning method.First,to reveal the multiple uncertain factors affecting the charging behavior of electric vehicles(EVs),an improved mathematical model integrating driver’s experience,unexpected events,and traffic conditions is introduced to describe the dynamic energy demand of EVs in home energy systems.Second,a decoupled advantage actor-critic(DA2C)algorithm is presented to enhance the energy optimization performance by alleviating the overfitting problem caused by the shared policy and value networks.Furthermore,separate networks for the policy and value functions ensure the generalization of the proposed method in unseen scenarios.Finally,comprehensive experiments are carried out to compare the proposed approach with existing methods,and the results show that the proposed method can optimize electricity cost and consider the residential comfort level in different scenarios.
