The carrier-based aircraft landing and arrest process is complex and nonlinear,and includes the coupling effect between the aircraft and arresting system.It has many uncertain factors,which lead to difficulty in the r...The carrier-based aircraft landing and arrest process is complex and nonlinear,and includes the coupling effect between the aircraft and arresting system.It has many uncertain factors,which lead to difficulty in the reliability analysis.To make the reliability analysis more accurate and effective,this paper presents some studies.Taking a certain type of carrier-based aircraft as the research object,a dynamic model of the landing and arrest cable was established,and the accuracy of the model was verified using laboratory test results.Based on the model,this paper shows how the key parameters,including the sinking velocity,pitch angle and horizontal velocity,affect the collision rebound performance of the arresting hook.After that,a limit state equation of the arresting hook system’s reliability was established.For the implicit limit state equation,a surrogate model of the reliability of the arresting hook was established using the Support Vector Machine(SVM)method,and then reliability analysis was carried out using the Monte Carlo method.Finally,it was explained in detail how the key parameters affect the reliability of the hook engaging the arresting cable,and some meaningful conclusions were obtained.This analysis method and its results can provide a reference for the top-level parameter design of carrier-based aircraft and reliability research on the arresting systems.展开更多
Glioblastoma is a highly malignant type of brain tumor that remains one of the most challenging cancers to treat because of its aggressive nature,genetic heterogeneity,and immunosuppressive tumor microenvironment.Desp...Glioblastoma is a highly malignant type of brain tumor that remains one of the most challenging cancers to treat because of its aggressive nature,genetic heterogeneity,and immunosuppressive tumor microenvironment.Despite advances in standard treatments,such as surgery,radiation,and chemotherapy,patient outcomes remain poor,driving the need for innovative therapeutic approaches.Cellular immune theranostics,which combines therapeutic and diagnostic capabilities,has emerged as a promising strategy to combat glioblastoma.The present review discusses recent advances in cellular immunotherapy,including the development and application of chimeric antigen receptor T cells,chimeric antigen receptor natural killer cells,and macrophage-based therapies.In addition,this review highlights the potential of oncolytic viruses and personalized tumor vaccines for improving immunotherapy outcomes.The integration of advanced diagnostic tools,such as the real-time monitoring of therapeutic responses through immunobiomarkers and imaging techniques,is emphasized as crucial for optimizing treatment strategies.However,important challenges remain,including the complexity of immune cell engineering,the difficulties of therapeutic delivery across the blood-brain barrier,and the immunosuppressive properties of the tumor microenvironment.Overcoming these challenges through innovative methodologies will be vital for improving the efficacy of cellular immune theranostics in the treatment of glioblastoma,with the ultimate goal of improving patient survival and quality of life.展开更多
基金co-supported by the Natural Science Foundation of Jiangsu Province, China (No. BK20220910)National Natural Science Foundation of China (No. 52202441)+2 种基金Fundamental Research Funds for the Central Universities, China (No. NT2022002)the National Defense Excellence Youth Science Fun of China (No. 2018-JCJQ-ZQ-053)A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions
文摘The carrier-based aircraft landing and arrest process is complex and nonlinear,and includes the coupling effect between the aircraft and arresting system.It has many uncertain factors,which lead to difficulty in the reliability analysis.To make the reliability analysis more accurate and effective,this paper presents some studies.Taking a certain type of carrier-based aircraft as the research object,a dynamic model of the landing and arrest cable was established,and the accuracy of the model was verified using laboratory test results.Based on the model,this paper shows how the key parameters,including the sinking velocity,pitch angle and horizontal velocity,affect the collision rebound performance of the arresting hook.After that,a limit state equation of the arresting hook system’s reliability was established.For the implicit limit state equation,a surrogate model of the reliability of the arresting hook was established using the Support Vector Machine(SVM)method,and then reliability analysis was carried out using the Monte Carlo method.Finally,it was explained in detail how the key parameters affect the reliability of the hook engaging the arresting cable,and some meaningful conclusions were obtained.This analysis method and its results can provide a reference for the top-level parameter design of carrier-based aircraft and reliability research on the arresting systems.
基金supported by the National Natural Science Foundation of China(82004105,82002218,and 82202978)President's Fund of Nanfang Hospital,Southern Medical University(2022B041 and 2024B031)the Outstanding Youths Development Scheme of Nanfang Hospital,Southern Medical University(2024J007).
文摘Glioblastoma is a highly malignant type of brain tumor that remains one of the most challenging cancers to treat because of its aggressive nature,genetic heterogeneity,and immunosuppressive tumor microenvironment.Despite advances in standard treatments,such as surgery,radiation,and chemotherapy,patient outcomes remain poor,driving the need for innovative therapeutic approaches.Cellular immune theranostics,which combines therapeutic and diagnostic capabilities,has emerged as a promising strategy to combat glioblastoma.The present review discusses recent advances in cellular immunotherapy,including the development and application of chimeric antigen receptor T cells,chimeric antigen receptor natural killer cells,and macrophage-based therapies.In addition,this review highlights the potential of oncolytic viruses and personalized tumor vaccines for improving immunotherapy outcomes.The integration of advanced diagnostic tools,such as the real-time monitoring of therapeutic responses through immunobiomarkers and imaging techniques,is emphasized as crucial for optimizing treatment strategies.However,important challenges remain,including the complexity of immune cell engineering,the difficulties of therapeutic delivery across the blood-brain barrier,and the immunosuppressive properties of the tumor microenvironment.Overcoming these challenges through innovative methodologies will be vital for improving the efficacy of cellular immune theranostics in the treatment of glioblastoma,with the ultimate goal of improving patient survival and quality of life.
