Cancer immunotherapy is a preferred strategy for boosting anti-tumor immunity to eliminate malignant cells and is considered a major breakthrough in the field of cancer treatment however,immunosuppressive cells in the...Cancer immunotherapy is a preferred strategy for boosting anti-tumor immunity to eliminate malignant cells and is considered a major breakthrough in the field of cancer treatment however,immunosuppressive cells in the tumor microenvironment(TME)pose a major obstacle to the efficacy of immunotherapy.Myeloid cells,such as tumor-a ssociated macrophages(TAMs)and myeloid-derived suppressor cells(MDSCs).展开更多
To the Editor:With the widespread application of immune checkpoint inhibitors(ICIs)in clinical practice,acquired resistance(AR)to programmed death-1(PD-1)/programmed death ligand 1(PD-L1)axis inhibitors in advanced no...To the Editor:With the widespread application of immune checkpoint inhibitors(ICIs)in clinical practice,acquired resistance(AR)to programmed death-1(PD-1)/programmed death ligand 1(PD-L1)axis inhibitors in advanced nonsmall cell lung cancer(NSCLC)develops and limits the durability of immunotherapy.AR is a clinical condition in which a patient initially responds to ICIs but relapses and progresses after a period of time.The rates of AR have not been routinely reported in lung cancer but typically range from 12.9%to 64%.[1]However,studies on subsequent management strategies and the mechanism of AR to PD-1/PD-L1 axis inhibitors in lung cancer are limited.The main exploratory strategies are immunotherapy rechallenge and the combination of ICIs with other therapies,including local therapy,chemotherapy,antiangiogenetic treatment,and cytotoxic T lymphocyte antigen 4(CTLA-4)inhibitors.[2]The purpose of this study was to characterize the clinical patterns of AR and compare different subsequent therapies and outcomes in NSCLC patients after AR to PD-1/PD-L1 inhibitors.Moreover,we explored the underlying mechanism of AR by analyzing the alterations in next-generation sequencing(NGS)data before and after AR.展开更多
In view of the technical difficulties of autonomous navigation in local areas,this paper proposes a high-precision autonomous navigation shared bal-ancing bike system based on EKF-SLAM.This system uses the EKF-SLAM alg...In view of the technical difficulties of autonomous navigation in local areas,this paper proposes a high-precision autonomous navigation shared bal-ancing bike system based on EKF-SLAM.This system uses the EKF-SLAM algorithm in robot localization to achieve simultaneous localization and map con-struction using the extended Kalmanfilter.At the same time,GPS and IMU are also employed for absolute positioning,and point cloud matching is used for rel-ative positioning to achieve multisensor fusion positioning.For the convenience of users,this system uses the RNN-T model for speech recognition destinations.Through experimental verification,the EKF-SLAM-based autonomous naviga-tion technology proposed in this paper can meet the accurate localization service and can realize the function of high precision autonomous navigation and voice recognition of destinations for shared balancing vehicles in a local area.展开更多
This paper describes the specially designed geometry of a dry-etched large-wedge-angle silica microdisk resonator that enables anomalous dispersion in the 780 nm wavelength regime. This anomalous dispersion occurs nat...This paper describes the specially designed geometry of a dry-etched large-wedge-angle silica microdisk resonator that enables anomalous dispersion in the 780 nm wavelength regime. This anomalous dispersion occurs naturally without the use of a mode-hybridization technique to control the geometrical dispersion. By fabricating a1-μm-thick silica microdisk with a wedge angle as large as 56° and an optical Q-factor larger than 107, we achieve a visible Kerr comb that covers the wavelength interval of 700–897 nm. The wide optical frequency range and the closeness to the clock transition at 698 nm of 87 Sr atoms make our visible comb a potentially useful tool in optical atomic clock applications.展开更多
We demonstrate the fabrication of ultrahigh quality(Q) factor silica microdisk resonators on a silicon chip by inductively coupled plasma(ICP) etching. We achieve a dry-etched optical microresonator with an intrinsic ...We demonstrate the fabrication of ultrahigh quality(Q) factor silica microdisk resonators on a silicon chip by inductively coupled plasma(ICP) etching. We achieve a dry-etched optical microresonator with an intrinsic Q factor as high as 1.94×10^(8) from a 1-mm-diameter silica microdisk with a thickness of 4 μm. Our work provides a chip-based microresonator platform operating in the ultrahigh-Q region that will be useful in nonlinear photonics such as Brillouin lasers and Kerr microcombs.展开更多
Aiming at fast moving targets, such as ships, high-speed vehicles andathletes, this paper discusses a series of target detection algorithms based on neuralnetwork, YOLOv3 and background modeling. Compared KCF tracking...Aiming at fast moving targets, such as ships, high-speed vehicles andathletes, this paper discusses a series of target detection algorithms based on neuralnetwork, YOLOv3 and background modeling. Compared KCF tracking with SSDtracking, Gaussian filter was applied to remove noise from pictures, and edgepreserving filter was used to preserve edge features. Moreover, the algorithmcombining deepsort tracking algorithm with YOLOv3 detection algorithm canimprove the accuracy of YOLOv3 target detection, solve the problem of targetloss during target tracking, adjust the frame size in real time, and improve the fitwith the target position. Experiments show that the proposed algorithm based ondetection before tracking has strong learning ability and robustness to unknownenvironment.展开更多
基金supported by grants from the National Natural Science Foundation of China(Grant No.82150119 to HX.L.and Grant No.8223000771 to B.Z.)。
文摘Cancer immunotherapy is a preferred strategy for boosting anti-tumor immunity to eliminate malignant cells and is considered a major breakthrough in the field of cancer treatment however,immunosuppressive cells in the tumor microenvironment(TME)pose a major obstacle to the efficacy of immunotherapy.Myeloid cells,such as tumor-a ssociated macrophages(TAMs)and myeloid-derived suppressor cells(MDSCs).
基金National Natural Science Foundation of China(No.82173097 to Z.W.)National Key Research&Development Program of China(Nos.2022YFC2505000 and 2022YFC2505002 to H.L.)
文摘To the Editor:With the widespread application of immune checkpoint inhibitors(ICIs)in clinical practice,acquired resistance(AR)to programmed death-1(PD-1)/programmed death ligand 1(PD-L1)axis inhibitors in advanced nonsmall cell lung cancer(NSCLC)develops and limits the durability of immunotherapy.AR is a clinical condition in which a patient initially responds to ICIs but relapses and progresses after a period of time.The rates of AR have not been routinely reported in lung cancer but typically range from 12.9%to 64%.[1]However,studies on subsequent management strategies and the mechanism of AR to PD-1/PD-L1 axis inhibitors in lung cancer are limited.The main exploratory strategies are immunotherapy rechallenge and the combination of ICIs with other therapies,including local therapy,chemotherapy,antiangiogenetic treatment,and cytotoxic T lymphocyte antigen 4(CTLA-4)inhibitors.[2]The purpose of this study was to characterize the clinical patterns of AR and compare different subsequent therapies and outcomes in NSCLC patients after AR to PD-1/PD-L1 inhibitors.Moreover,we explored the underlying mechanism of AR by analyzing the alterations in next-generation sequencing(NGS)data before and after AR.
文摘In view of the technical difficulties of autonomous navigation in local areas,this paper proposes a high-precision autonomous navigation shared bal-ancing bike system based on EKF-SLAM.This system uses the EKF-SLAM algorithm in robot localization to achieve simultaneous localization and map con-struction using the extended Kalmanfilter.At the same time,GPS and IMU are also employed for absolute positioning,and point cloud matching is used for rel-ative positioning to achieve multisensor fusion positioning.For the convenience of users,this system uses the RNN-T model for speech recognition destinations.Through experimental verification,the EKF-SLAM-based autonomous naviga-tion technology proposed in this paper can meet the accurate localization service and can realize the function of high precision autonomous navigation and voice recognition of destinations for shared balancing vehicles in a local area.
基金National Key R&D Program of China(2016YFA0302500,2017YFA0303703)National Natural Science Foundation of China(NSFC)(61435007,11574144,11621091,61475099)
文摘This paper describes the specially designed geometry of a dry-etched large-wedge-angle silica microdisk resonator that enables anomalous dispersion in the 780 nm wavelength regime. This anomalous dispersion occurs naturally without the use of a mode-hybridization technique to control the geometrical dispersion. By fabricating a1-μm-thick silica microdisk with a wedge angle as large as 56° and an optical Q-factor larger than 107, we achieve a visible Kerr comb that covers the wavelength interval of 700–897 nm. The wide optical frequency range and the closeness to the clock transition at 698 nm of 87 Sr atoms make our visible comb a potentially useful tool in optical atomic clock applications.
基金National Key Research and Development Program of China(2016YFA0302500,2017YFA0303703)National Natural Science Foundation of China(NFSC)(61922040,11621091)Fundamental Research Funds for the Central Universities(021314380149)。
文摘We demonstrate the fabrication of ultrahigh quality(Q) factor silica microdisk resonators on a silicon chip by inductively coupled plasma(ICP) etching. We achieve a dry-etched optical microresonator with an intrinsic Q factor as high as 1.94×10^(8) from a 1-mm-diameter silica microdisk with a thickness of 4 μm. Our work provides a chip-based microresonator platform operating in the ultrahigh-Q region that will be useful in nonlinear photonics such as Brillouin lasers and Kerr microcombs.
文摘Aiming at fast moving targets, such as ships, high-speed vehicles andathletes, this paper discusses a series of target detection algorithms based on neuralnetwork, YOLOv3 and background modeling. Compared KCF tracking with SSDtracking, Gaussian filter was applied to remove noise from pictures, and edgepreserving filter was used to preserve edge features. Moreover, the algorithmcombining deepsort tracking algorithm with YOLOv3 detection algorithm canimprove the accuracy of YOLOv3 target detection, solve the problem of targetloss during target tracking, adjust the frame size in real time, and improve the fitwith the target position. Experiments show that the proposed algorithm based ondetection before tracking has strong learning ability and robustness to unknownenvironment.
