An improved model based on you only look once version 8(YOLOv8)is proposed to solve the problem of low detection accuracy due to the diversity of object sizes in optical remote sensing images.Firstly,the feature pyram...An improved model based on you only look once version 8(YOLOv8)is proposed to solve the problem of low detection accuracy due to the diversity of object sizes in optical remote sensing images.Firstly,the feature pyramid network(FPN)structure of the original YOLOv8 mode is replaced by the generalized-FPN(GFPN)structure in GiraffeDet to realize the"cross-layer"and"cross-scale"adaptive feature fusion,to enrich the semantic information and spatial information on the feature map to improve the target detection ability of the model.Secondly,a pyramid-pool module of multi atrous spatial pyramid pooling(MASPP)is designed by using the idea of atrous convolution and feature pyramid structure to extract multi-scale features,so as to improve the processing ability of the model for multi-scale objects.The experimental results show that the detection accuracy of the improved YOLOv8 model on DIOR dataset is 92%and mean average precision(mAP)is 87.9%,respectively 3.5%and 1.7%higher than those of the original model.It is proved the detection and classification ability of the proposed model on multi-dimensional optical remote sensing target has been improved.展开更多
Objective： The aim of the study was to observe the transfection efficacy of hepatitis B virus envelope （HBVE） and evaluate its ability as a gene transfer vector for liver cancer cells. Methods： To obtain HBVE, the...Objective： The aim of the study was to observe the transfection efficacy of hepatitis B virus envelope （HBVE） and evaluate its ability as a gene transfer vector for liver cancer cells. Methods： To obtain HBVE, the supematant fluid of HepG 2.2.15 cells was mixed with a PEG8000 solution for concentration and was inactivated by β-propiolactone. The acquired HBVE was used to pack plRES2-EGFP to test its package ability. Then, we examined its quantity and quality with ELISA, PCR, SDS-PAGE and electron microscopy. The plRES2-EGFP was packed with HBVE and obtained the product HBVE-GFP. The plRES2-EGFP was packed with liposome and obtained the product liposome-GFP. HBVE-GFP and liposome-GFP were used to transfer HepG 2 cells to study the transfection efficiency. HBVE-GFP was used to transfer HepG 2, A549, HeLa and FB cells to study the targeting ability. The green fluorescent protein （GFP） expression was observed under a fluorescent microscope. The rate of GFP positive cells was determined by flow cytometry. Results： 1. The acquired HBVE could retain the surface protein HBsAg ＋ pre S1 ＋ pre S2 and had no virus DNA. It had good package ability for plRES2-EGFP. 2. Transfection efficiency： The GFP could be observed in both the liposome group and HBVE group under the fluorescent microscope. But the HBVE group had a higher fluorescent intensity than liposome group. The transfection rate of liposome group was 49.97% ＋ 2.37% while the HBVE group was 70.65% ＋ 3.15% and the fluorescent intensity of the HBVE group was 3-4 times （P = 0.000） for liposome group with the determination of flow cytometry. 3. Targeting ability： The GFP could be observed in the four groups under the fluorescent microscope. The HepG 2 group had the highest fluorescent intensity among the four groups. The transfection rate of HepG 2 group was 71.35% ＋ 0.03% which was highly expressed than other groups （P = 0.000） and the fluorescent intensity of the HepG 2 group was 2-3 times （P = 0.000） for the other 3 groups with the determination of flow cytometry. Conclusion： HBVE can be constructed successfully with the methods of PEG8000 and β-propiolactone from the supernatant fluid of HepG 22.15 cells. The HBVE can be a candidate gene transfer vector for liver cancer cells.展开更多
Immunotherapy has been emerging as a potent strategy for cancer treatment.However,undesirable therapeutic efficacy remains a challenge,including low drug loading,imprecise targeting,and non-specific releasing.The drug...Immunotherapy has been emerging as a potent strategy for cancer treatment.However,undesirable therapeutic efficacy remains a challenge,including low drug loading,imprecise targeting,and non-specific releasing.The drug delivery systems of immunotherapy play a key role in improving therapeutic efficacy and reducing side effects.To address these concerns,functional DNA nanostructures-based materials have been explored to achieve high loading capability,precise targeting,and controllable releasing.This review focuses on the crucial issues of delivery system for cancer immunotherapy and the strategies to improve the delivery efficacy.Specifically,recent advances in DNA nanostructures-based materials that promote the therapeutic efficacy of cancer immunotherapy through rational DNA sequence design to regulate the spatial distribution of immunotherapeutics loading are reviewed.The strategies to enhance precise targeting ability basing on nucleic acid aptamers and further enable immune checkpoint inhibitions are presented.The recent progress on the controllable release of immunotherapeutics triggered by specific stimulus is discussed.In the end,we provide insights for the subsequent realization of applications of DNA nanostructures-based materials for cancer immunotherapy in the future.展开更多
基金supported by the National Natural Science Foundation of China(No.62241109)the Tianjin Science and Technology Commissioner Project(No.20YDTPJC01110)。
文摘An improved model based on you only look once version 8(YOLOv8)is proposed to solve the problem of low detection accuracy due to the diversity of object sizes in optical remote sensing images.Firstly,the feature pyramid network(FPN)structure of the original YOLOv8 mode is replaced by the generalized-FPN(GFPN)structure in GiraffeDet to realize the"cross-layer"and"cross-scale"adaptive feature fusion,to enrich the semantic information and spatial information on the feature map to improve the target detection ability of the model.Secondly,a pyramid-pool module of multi atrous spatial pyramid pooling(MASPP)is designed by using the idea of atrous convolution and feature pyramid structure to extract multi-scale features,so as to improve the processing ability of the model for multi-scale objects.The experimental results show that the detection accuracy of the improved YOLOv8 model on DIOR dataset is 92%and mean average precision(mAP)is 87.9%,respectively 3.5%and 1.7%higher than those of the original model.It is proved the detection and classification ability of the proposed model on multi-dimensional optical remote sensing target has been improved.
基金Supported by a grant from the National Natural Sciences Foundation of China No 30100189
文摘Objective： The aim of the study was to observe the transfection efficacy of hepatitis B virus envelope （HBVE） and evaluate its ability as a gene transfer vector for liver cancer cells. Methods： To obtain HBVE, the supematant fluid of HepG 2.2.15 cells was mixed with a PEG8000 solution for concentration and was inactivated by β-propiolactone. The acquired HBVE was used to pack plRES2-EGFP to test its package ability. Then, we examined its quantity and quality with ELISA, PCR, SDS-PAGE and electron microscopy. The plRES2-EGFP was packed with HBVE and obtained the product HBVE-GFP. The plRES2-EGFP was packed with liposome and obtained the product liposome-GFP. HBVE-GFP and liposome-GFP were used to transfer HepG 2 cells to study the transfection efficiency. HBVE-GFP was used to transfer HepG 2, A549, HeLa and FB cells to study the targeting ability. The green fluorescent protein （GFP） expression was observed under a fluorescent microscope. The rate of GFP positive cells was determined by flow cytometry. Results： 1. The acquired HBVE could retain the surface protein HBsAg ＋ pre S1 ＋ pre S2 and had no virus DNA. It had good package ability for plRES2-EGFP. 2. Transfection efficiency： The GFP could be observed in both the liposome group and HBVE group under the fluorescent microscope. But the HBVE group had a higher fluorescent intensity than liposome group. The transfection rate of liposome group was 49.97% ＋ 2.37% while the HBVE group was 70.65% ＋ 3.15% and the fluorescent intensity of the HBVE group was 3-4 times （P = 0.000） for liposome group with the determination of flow cytometry. 3. Targeting ability： The GFP could be observed in the four groups under the fluorescent microscope. The HepG 2 group had the highest fluorescent intensity among the four groups. The transfection rate of HepG 2 group was 71.35% ＋ 0.03% which was highly expressed than other groups （P = 0.000） and the fluorescent intensity of the HepG 2 group was 2-3 times （P = 0.000） for the other 3 groups with the determination of flow cytometry. Conclusion： HBVE can be constructed successfully with the methods of PEG8000 and β-propiolactone from the supernatant fluid of HepG 22.15 cells. The HBVE can be a candidate gene transfer vector for liver cancer cells.
基金supported by National Natural Science Foundation of China(No.22225505).
文摘Immunotherapy has been emerging as a potent strategy for cancer treatment.However,undesirable therapeutic efficacy remains a challenge,including low drug loading,imprecise targeting,and non-specific releasing.The drug delivery systems of immunotherapy play a key role in improving therapeutic efficacy and reducing side effects.To address these concerns,functional DNA nanostructures-based materials have been explored to achieve high loading capability,precise targeting,and controllable releasing.This review focuses on the crucial issues of delivery system for cancer immunotherapy and the strategies to improve the delivery efficacy.Specifically,recent advances in DNA nanostructures-based materials that promote the therapeutic efficacy of cancer immunotherapy through rational DNA sequence design to regulate the spatial distribution of immunotherapeutics loading are reviewed.The strategies to enhance precise targeting ability basing on nucleic acid aptamers and further enable immune checkpoint inhibitions are presented.The recent progress on the controllable release of immunotherapeutics triggered by specific stimulus is discussed.In the end,we provide insights for the subsequent realization of applications of DNA nanostructures-based materials for cancer immunotherapy in the future.
