Invasive stratified mucin-producing carcinoma(ISMC)is a recently described histologic variant of high-risk human papillomavirus(HPV)-associated endocervical adenocarcinoma,as the putative invasive counterpart of the s...Invasive stratified mucin-producing carcinoma(ISMC)is a recently described histologic variant of high-risk human papillomavirus(HPV)-associated endocervical adenocarcinoma,as the putative invasive counterpart of the stratified mucin-producing intraepithelial lesion(SMILE).ISMC can display variable architectural patterns and usually coexists with other more conventional types of HPV-associated carcinomas,which makes diagnosis and differential diagnosis of ISMC is difficult for pathologists.Moreover,the prognosis of ISMC is still controversial.We analyzed 6 ISMCs with detailed pathological and clinical information.Intraepithelial lesion,including 1 high-grade squamous intraepithelial lesion and 1 SMILE,was found.Various architectures were observed(including nest,glandular,solid,trabecular,and single cell).Nuclear peripheral palisading,apoptotic bodies and mitoses,and variable cytoplasmic mucin vacuoles were seen in all of our cases.The predominance of neutrophils infiltration was seen in only 1 tumor.All the tumors infiltrated the cervical stroma in Silva pattern C manner.p63 and/or p40 was characteristically expressed in the peripheral cells in only 2 cases.High-risk HPV infection was observed in 3/3 detected cases.All the patients were alive during the follow-up time.Recognition of this infrequent tumor may help pathologists and oncologists for an accurate diagnosis and a better understanding of the clinicopathological behavior.展开更多
This article presents a robust optimal consensuscontrol strategy for switched nonlinear multi-agent systems(MASs). The robust control problem with unmatcheduncertainties is first reformulated as an optimal controlfram...This article presents a robust optimal consensuscontrol strategy for switched nonlinear multi-agent systems(MASs). The robust control problem with unmatcheduncertainties is first reformulated as an optimal controlframework through the introduction of augmented control inputsand a tailored cost function. To construct a distributed integralsliding-mode control (ISMC), a novel measurement error term isdesigned to enforce finite-time convergence of the consensus errorto the origin. An event-based mechanism is incorporated tominimize controller execution, thereby optimizing computationaland communication resource utilization. A concurrent learningapproach is proposed to update neural network (NN) weights,where the value function is approximated by a critic NN. Thismethod circumvents the constraints of initial admissible controland persistent excitation (PE) conditions inherent in traditionaladaptive dynamic programming (ADP) designs. Theoreticalanalysis demonstrates that the developed event-triggered ADPcontroller guarantees system robustness for nonlinear MASs andensures the uniform ultimate boundedness (UUB) of critic NNweight estimation errors. Finally, simulation results are presentedto validate the effectiveness of the proposed control methodology.展开更多
This paper investigates interception missiles’trajectory tracking guidance problem under wind field and external disturbances in the boost phase.Indeed,the velocity control in such trajectory tracking guidance system...This paper investigates interception missiles’trajectory tracking guidance problem under wind field and external disturbances in the boost phase.Indeed,the velocity control in such trajectory tracking guidance systems of missiles is challenging.As our contribution,the velocity control channel is designed to deal with the intractable velocity problem and improve tracking accuracy.The global prescribed performance function,which guarantees the tracking error within the set range and the global convergence of the tracking guidance system,is first proposed based on the traditional PPF.Then,a tracking guidance strategy is derived using the integral sliding mode control techniques to make the sliding manifold and tracking errors converge to zero and avoid singularities.Meanwhile,an improved switching control law is introduced into the designed tracking guidance algorithm to deal with the chattering problem.A back propagation neural network(BPNN)extended state observer(BPNNESO)is employed in the inner loop to identify disturbances.The obtained results indicate that the proposed tracking guidance approach achieves the trajectory tracking guidance objective without and with disturbances and outperforms the existing tracking guidance schemes with the lowest tracking errors,convergence times,and overshoots.展开更多
基金the Scientific Research Funds Project of the Science and Technology Department of Sichuan Province(Grant No.21YYJC1616 to Liu Y).
文摘Invasive stratified mucin-producing carcinoma(ISMC)is a recently described histologic variant of high-risk human papillomavirus(HPV)-associated endocervical adenocarcinoma,as the putative invasive counterpart of the stratified mucin-producing intraepithelial lesion(SMILE).ISMC can display variable architectural patterns and usually coexists with other more conventional types of HPV-associated carcinomas,which makes diagnosis and differential diagnosis of ISMC is difficult for pathologists.Moreover,the prognosis of ISMC is still controversial.We analyzed 6 ISMCs with detailed pathological and clinical information.Intraepithelial lesion,including 1 high-grade squamous intraepithelial lesion and 1 SMILE,was found.Various architectures were observed(including nest,glandular,solid,trabecular,and single cell).Nuclear peripheral palisading,apoptotic bodies and mitoses,and variable cytoplasmic mucin vacuoles were seen in all of our cases.The predominance of neutrophils infiltration was seen in only 1 tumor.All the tumors infiltrated the cervical stroma in Silva pattern C manner.p63 and/or p40 was characteristically expressed in the peripheral cells in only 2 cases.High-risk HPV infection was observed in 3/3 detected cases.All the patients were alive during the follow-up time.Recognition of this infrequent tumor may help pathologists and oncologists for an accurate diagnosis and a better understanding of the clinicopathological behavior.
基金supported by the National Key R&D Program of China(No.2024YFB4709100)the National Natural Science Foundation of China(No.62425310)+2 种基金the National Defense Basic Scientific Research Program(Nos.JCKY2019203C029 and JCKY2020130C025)the Science and Technology Innovation Project of China Academy of Chinese Medical Sciences(No.CI2023C005YG)the Science and Technology Development Fund,Macao SAR(Nos.FDCT-22-009-MISE,0060/2021/A2,and 0015/2020/AMJ).
文摘This article presents a robust optimal consensuscontrol strategy for switched nonlinear multi-agent systems(MASs). The robust control problem with unmatcheduncertainties is first reformulated as an optimal controlframework through the introduction of augmented control inputsand a tailored cost function. To construct a distributed integralsliding-mode control (ISMC), a novel measurement error term isdesigned to enforce finite-time convergence of the consensus errorto the origin. An event-based mechanism is incorporated tominimize controller execution, thereby optimizing computationaland communication resource utilization. A concurrent learningapproach is proposed to update neural network (NN) weights,where the value function is approximated by a critic NN. Thismethod circumvents the constraints of initial admissible controland persistent excitation (PE) conditions inherent in traditionaladaptive dynamic programming (ADP) designs. Theoreticalanalysis demonstrates that the developed event-triggered ADPcontroller guarantees system robustness for nonlinear MASs andensures the uniform ultimate boundedness (UUB) of critic NNweight estimation errors. Finally, simulation results are presentedto validate the effectiveness of the proposed control methodology.
基金the National Natural Science Foundation of China(Grant No.12072090).
文摘This paper investigates interception missiles’trajectory tracking guidance problem under wind field and external disturbances in the boost phase.Indeed,the velocity control in such trajectory tracking guidance systems of missiles is challenging.As our contribution,the velocity control channel is designed to deal with the intractable velocity problem and improve tracking accuracy.The global prescribed performance function,which guarantees the tracking error within the set range and the global convergence of the tracking guidance system,is first proposed based on the traditional PPF.Then,a tracking guidance strategy is derived using the integral sliding mode control techniques to make the sliding manifold and tracking errors converge to zero and avoid singularities.Meanwhile,an improved switching control law is introduced into the designed tracking guidance algorithm to deal with the chattering problem.A back propagation neural network(BPNN)extended state observer(BPNNESO)is employed in the inner loop to identify disturbances.The obtained results indicate that the proposed tracking guidance approach achieves the trajectory tracking guidance objective without and with disturbances and outperforms the existing tracking guidance schemes with the lowest tracking errors,convergence times,and overshoots.
