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| 1 | Biological drug and drug delivery-mediated immunotherapy显示文摘The initiation and development of major infammatory diseases,i.e.,cancer,vascular infammation,and some autoimmune diseases are closely linked to the immune system.Biologics-based immunotherapy is exerting a critical role against these diseases,whereas the usage of the immunomodulators is always limited by various factors such as susceptibility to digestion by enzymes in vivo,poor penetration across biological barriers,and rapid clearance by the reticuloendothelial system.Drug delivery strategies are potent to promote their delivery.Herein,we reviewed the potential targets for immunotherapy against the major infammatory diseases,discussed the biologics and drug delivery systems involved in the immunotherapy,particularly highlighted the approved therapy tactics,and finally offer perspectives in this feld. | Qingqing Xiao Xiaotong Li Yi Li Zhenfeng Wu Chenjie Xu Zhongjian Chen Wei He | 2021 | Acta Pharmaceutica Sinica B2021，11，4： | 15 |
| 2 | Spatio-temporal-spectral-angular observation model that integrates observations from UAV and mobile mapping vehicle for better urban mapping显示文摘In a complex urban scene,observation from a single sensor unavoidably leads to voids in observations,failing to describe urban objects in a comprehensive manner.In this paper,we propose a spatio-temporal-spectral-angular observation model to integrate observations from UAV and mobile mapping vehicle platform,realizing a joint,coordinated observation operation from both air and ground.We develop a multi-source remote sensing data acquisition system to effectively acquire multi-angle data of complex urban scenes.Multi-source data fusion solves the missing data problem caused by occlusion and achieves accurate,rapid,and complete collection of holographic spatial and temporal information in complex urban scenes.We carried out an experiment on Baisha Town,Chongqing,China and obtained multi-sensor,multi-angle data from UAV and mobile mapping vehicle.We first extracted the point cloud from UAV and then integrated the UAV and mobile mapping vehicle point cloud.The inte-grated results combined both the characteristics of UAV and mobile mapping vehicle point cloud,confirming the practicability of the proposed joint data acquisition platform and the effectiveness of spatio-temporal-spectral-angular observation model.Compared with the observation from UAV or mobile mapping vehicle alone,the integrated system provides an effective data acquisition solution toward comprehensive urban monitoring. | Zhenfeng Shao Gui Cheng Deren Li Xiao Huang Zhipeng Lu Jian Liu | 2021 | Geo-Spatial Information Science2021，24，4： | 2 |
| 3 | Metal phenolic network-stabilized nanocrystals of andrographolide to alleviate macrophage-mediated inflammation in-vitro显示文摘Macrophages play a crucial role in initiating,maintaining,and resolving inflammation through the phenotypic shift,inducing or inhibiting the production of inflammatory cytokines.Therefore,macrophages are potential targets for treating inflammatory diseases.Andrographolide(AND)is a potent anti-inflammatory drug that can reduce pro-inflammatory cytokines and suppress NF-κB/MAPK pathway in activated macrophages.Although AND has many medicinal properties,its lower water solubility and first-pass effect in the liver have hindered its clinical application.In this context,by using a metal phenolic network as a stabilizer,we designed and prepared highly stabilized AND nanocrystals(AND-MPN Ns)with high drug loading capacity to facilitate the clinical application of AND.Our findings showed that AND-MPN Ns could be used to enhance the anti-inflammation in-vitro via macrophage polarization,reducing proinflammatory cytokines IL-6 and TNF-α,and suppressing the NF-κB signaling pathway activation.The results demonstrated the potential of AND-MPN Ns to combat inflammatory diseases effectively. | Kosheli Thapa Magar George Frimpong Boafo Makhloufi Zoulikha Xiaohong Jiang Xiaotong Li Qingqing Xiao Xuyang Xing Xiaochun Wang Lifang Fan Zhenfeng Wu Wei He | 2023 | Chinese Chemical Letters2023，34，1： | 2 |
| 4 | Survey on vehicle map matching techniques显示文摘With the development of location‐based services and Big data technology,vehicle map matching techniques are growing rapidly,which is the fundamental techniques in the study of exploring global positioning system(GPS)data.The pre‐processed GPS data can provide the guarantee of high‐quality data for the research of mining passenger’s points of interest and urban computing services.The existing surveys mainly focus on map‐matching algorithms,but there are few descriptions on the key phases of the acquisition of sampling data,floating car and road data preprocessing in vehicle map matching systems.To address these limitations,the contribution of this survey on map matching techniques lies in the following aspects:(i)the background knowledge,function and system framework of vehicle map matching techniques;(ii)description of floating car data and road network structure to understand the detailed phase of map matching;(iii)data preprocessing rules,specific methodologies,and significance of floating car and road data;(iv)map matching algorithms are classified by the sampling frequency and data information.The authors give the introduction of open‐source GPS sampling data sets,and the evaluation measurements of map‐matching approaches;(v)the suggestions on data preprocessing and map matching algorithms in the future work. | Zhenfeng Huang Shaojie Qiao Nan Han Chang-an Yuan Xuejiang Song Yueqiang Xiao | 2021 | CAAI Transactions on Intelligence Technology2021，6，1： | 1 |
| 5 | An internal-external optimized convolutional neural network for arbitrary orientated object detection from optical remote sensing images显示文摘Due to the bird’s eye view of remote sensing sensors,the orientational information of an object is a key factor that has to be considered in object detection.To obtain rotating bounding boxes,existing studies either rely on rotated anchoring schemes or adding complex rotating ROI transfer layers,leading to increased computational demand and reduced detection speeds.In this study,we propose a novel internal-external optimized convolutional neural network for arbitrary orientated object detection in optical remote sensing images.For the internal opti-mization,we designed an anchor-based single-shot head detector that adopts the concept of coarse-to-fine detection for two-stage object detection networks.The refined rotating anchors are generated from the coarse detection head module and fed into the refining detection head module with a link of an embedded deformable convolutional layer.For the external optimiza-tion,we propose an IOU balanced loss that addresses the regression challenges related to arbitrary orientated bounding boxes.Experimental results on the DOTA and HRSC2016 bench-mark datasets show that our proposed method outperforms selected methods. | Sihang Zhang Zhenfeng Shao Xiao Huang Linze Bai Jiaming Wang | 2021 | Geo-Spatial Information Science2021，24，4： | 1 |
| 6 | Mapping impervious surfaces with a hierarchical spectral mixture analysis incorporating endmember spatial distribution显示文摘Impervious surface mapping is essential for urban environmental studies.Spectral Mixture Analysis(SMA)and its extensions are widely employed in impervious surface estimation from medium-resolution images.For SMA,inappropriate endmember combinations and inadequate endmember classes have been recognized as the primary reasons for estimation errors.Meanwhile,the spectral-only SMA,without considering urban spatial distribution,fails to consider spectral variability in an adequate manner.The lack of endmember class diversity and their spatial variations lead to over/underestimation.To mitigate these issues,this study integrates a hierarchical strategy and spatially varied endmember spectra to map impervious surface abundance,taking Wuhan and Wuzhou as two study areas.Specifically,the piecewise convex multiple-model endmember detection algorithm is applied to automatically hierarch-ize images into three regions,and distinct endmember combinations are independently developed in each region.Then,spatially varied endmember spectra are synthesized through neighboring spectra using the distance-based weight.Comparative analysis indicates that the proposed method achieves better performance than Hierarchical SMA and Fixed Four-endmembers SMA in terms of MAE,SE,and RMSE.Further analysis suggests that the hierarch-ical strategy can expand endmember class types and considerably improve the performance for the study areas in general,specifically in less developed areas.Moreover,we find that spatially varied endmember spectra facilitate the reduction of heterogeneous surface material variations and achieve the improved performance in developed areas. | Zhenfeng Shao Yuan Zhang Cheng Zhang Xiao Huang Tao Cheng | 2022 | Geo-Spatial Information Science2022，25，4： | 1 |
| 7 | The equivalent model of controller in synchronous frame to stationary frame显示文摘The system controlled in synchronous frame is commonly used. However, it is a problem how to transform the controller in synchronous frame to stationary frame. This paper deduces the stationary frame equivalent model of arbitrarily controller in synchronous frame. The equivalent model can reflect the control performance of the input signal at different frequency accurately. The unified frequency-domain model of the overall system can be established using the equivalent model, and the guidance for frequency analysis and stability analysis can be provided. Theoretical derivation and simulation results verify the correctness and generality of the equivalent model. | Yichao Wang Lai Huang Yijia Cao Xintao Xie Zhongwei Chen Zhenfeng Xiao Ming Wen Zhiqiang Xu | 2018 | Global Energy Interconnection2018，1，2： | 1 |
| 8 | Dual-Branch Multi-Level Feature Aggregation Network for Pansharpening显示文摘Dear Editor,In pansharpening task,the most existing deep-learning-based pansharpening methods fail to fully utilize the different level features,inevitably leading to spectral or spatial distortions.To address this challenge,in this letter,we propose a dual-branch multi-level feature aggregation network for pansharpening(DMFANet). | Gui Cheng Zhenfeng Shao Jiaming Wang Xiao Huang Chaoya Dang | 2022 | IEEE/CAA Journal of Automatica Sinica2022，9，11： | 1 |
| 9 | Physiological and biomass partitioning shifts to water stress under distinct soil types in Populus deltoides saplings显示文摘土壤类型是影响植物分布和生产力的重要环境因素,但有关土壤环境异质性对植物抗逆性效应的研究非常缺乏。本研究以美洲黑杨(Populus deltoids)为对象,以3种典型土壤类型(红壤、黄壤和黄棕壤)为栽培基质,在控制实验条件下,经过三个月的干旱胁迫(25%田间持水量)处理,测定了不同处理条件下美洲黑杨的气体交换速率、抗氧化能力、氮代谢特征、生物量积累与分配特征。研究结果表明,在红壤和黄壤条件下,与对照(75%田间持水量)相比,干旱胁迫显著降低了美洲黑杨各器官的生物量、光合速率、叶片氮同化酶的活性,显著增加了叶片中过氧化氢、丙二醛和无机氮的含量。在黄棕壤条件下,干旱对美洲黑杨总生物量、光合速率、氮同化酶以及质膜完整性的负面影响较小,这与其维持较高的超氧化物歧化酶,过氧化物酶和过氧化氢酶的活性相关,也与其生物量分配模式(如提高根冠比)密切相关。由此可见,生长在黄棕壤条件下的美洲黑杨表现出较强的抗旱能力,这可能与其土壤母质中较高的土壤养分和良好的通气状况相关。因此,就土壤类型而言,与红壤和黄壤相比,黄棕壤提供的土壤环境条件有利于美洲黑杨的抗逆表现和栽培利用。 | Senlin Yang Jian Shi Lianghua Chen Jian Zhang Danju Zhang Zhenfeng Xu Jiujin Xiao Peng Zhu Yang Liu Tiantian Lin Li Zhang Hanbo Yang Yu Zhong | 2020 | Journal of Plant Ecology2020，13，5： | 0 |
| 10 | Pulmonary endothelium-targeted nanoassembly of indomethacin and superoxide dismutase relieves lung inflammation显示文摘Lung inflammation is an essential inducer of various diseases and is closely related to pulmonary-endothelium dysfunction.Herein,we propose a pulmonary endothelium-targeted codelivery system of anti-inflammatory indomethacin(IND)and antioxidant superoxide dismutase(SOD)by assembling the biopharmaceutical SOD onto the“vector”of rod-like pure IND crystals,followed by coating with anti-ICAM-1 antibody(Ab)for targeting endothelial cells.The codelivery system has a 237 nm diameter in length and extremely high drug loading of 39%IND and 2.3%SOD.Pharmacokinetics and biodistribution studies demonstrate the extended blood circulation and the strong pulmonary accumulation of the system after intravenous injection in the lipopolysaccharide(LPS)-induced inflammatory murine model.Particularly,the system allows a robust capacity to target pulmonary endothelium mostly due to the rod-shape and Ab coating effect.In vitro,the preparation shows the synergistic antiinflammatory and antioxidant effects in LPS-activated endothelial cells.In vivo,the preparation exhibits superior pharmacodynamic efficacy revealed by significantly downregulating the inflammatory/oxidative stress markers,such as TNF-a,IL-6,COX-2,and reactive oxygen species(ROS),in the lungs.In conclusion,the codelivery system based on rod-like pure crystals could well target the pulmonary endothelium and effectively alleviate lung inflammation.The study offers a promising approach to combat pulmonary endothelium-associated diseases. | Yi Yang Makhloufi Zoulikha Qingqing Xiao Feifei Huang Qi Jiang Xiaotong Li Zhenfeng Wu Wei He | 2023 | Acta Pharmaceutica Sinica B2023，13，11： | 0 |
| 11 | Geological characteristics and models of fault-foldfracture body in deep tight sandstone of the second member of Upper Triassic Xujiahe Formation in Xinchang structural belt of Sichuan Basin,SW China显示文摘In the second member of the Upper Triassic Xujiahe Formation(T_(3)x_(2))in the Xinchang area,western Sichuan Basin,only a low percent of reserves has been recovered,and the geological model of gas reservoir sweet spot remains unclear.Based on a large number of core,field outcrop,test and logging-seismic data,the T_(3)x_(2) gas reservoir in the Xinchang area is examined.The concept of fault-fold-fracture body(FFFB)is proposed,and its types are recognized.The main factors controlling fracture development are identified,and the geological models of FFFB are established.FFFB refers to faults,folds and associated fractures reservoirs.According to the characteristics and genesis,FFFBs can be divided into three types:fault-fracture body,fold-fracture body,and fault-fold body.In the hanging wall of the fault,the closer to the fault,the more developed the effective fractures;the greater the fold amplitude and the closer to the fold hinge plane,the more developed the effective fractures.Two types of geological models of FFFB are established:fault-fold fracture,and matrix storage and permeability.The former can be divided into two subtypes:network fracture,and single structural fracture,and the later can be divided into three subtypes:bedding fracture,low permeability pore,and extremely low permeability pore.The process for evaluating favorable FFFB zones was formed to define favorable development targets and support the well deployment for purpose of high production.The study results provide a reference for the exploration and development of deep tight sandstone oil and gas reservoirs in China. | LIU Junlong LIU Zhongqun LIU Zhenfeng LIU Yali SHEN Baojian XIAO Kaihua BI Youyi WANG Xiaowen WANG Ail FAN Lingxiao LI Jitongl | 2023 | Petroleum Exploration and Development2023，50，3： | 0 |
| 12 | Clinical significance of S100A7 protein in predicting recurrence of breast cancer in patients undergoing breast-conserving surgery with radiotherapy显示文摘Objective To investigate the relationship between the expression of S100A7 protein and prediction of recurrence and prognosis of breast cancer in patients undergoing breast-conserving surgery combined with radiotherapy.Methods 349 samples of carcinoma tissue wax blocks were selected from January 2011 to January 2014 in Qingdao Central Hospital.All the patients had undergone breast-conserving surgery.We analyzed S100A7 expression in tumor tissue by immunohistochemical staining.Using univariate and multivariate analyses,we evaluated the relationship between S100A7 and clinical results,to explore independent risk factors for local regional recurrence(LRR).Results The positive expression of S100A7 in the recurrence group(66.7%)was significantly higher than in the non-recurrence group(38.4%),P=0.025.A log-rank test showed that high S100A7 expression was significantly correlated with 5-year regional recurrence free survival rate(RFS)(94.9%vs 89.5%,P=0.0408),distant metastasis free survival rate(DFS)(95.4%vs 83.5%,P<0.001),and overall survival rate(OS)(99.0%vs 92.5%,P=0.0011).Histological grade,vessel carcinoma embolus,lymph node metastasis,S100A7 expression,and tumor size were factors that influenced RFS.Multivariate analysis of the Cox proportional hazard model showed that high S100A7 expression was an independent risk factor that affected breast cancer RFS(HR=6.864,95%CI:1.575-29.915,P=0.01).Thus,we concluded that high S100A7 expression is associated with increased risk of LRR and distant metastasis of breast cancer after breast-conserving surgery and postoperative radiotherapy.S100A7 can be used as a molecular marker to screen for patients with high recurrence risk after breast-conserving surgery. | Chao Zhang Changyou Li Gaoyang Lin Yao Qi Zhenfeng Li Jing Xu Tianhui Su Xin Liu Xiao Zou | 2019 | Oncology and Translational Medicine2019，5，5： | 0 |
| 13 | A lightweight distillation CNN-transformer architecture for remote sensing image super-resolution显示文摘Remote sensing images exhibit rich texture features and strong autocorrelation.Although the super-resolution(SR)method of remote sensing images based on convolutional neural networks(CNN)can capture rich local information,the limited perceptual field prevents it from establishing long-distance dependence on global information,leading to the low accuracy of remote sensing image reconstruction.Furthermore,it is difficult for existing SR methods to be deployed in mobile devices due to their large network parameters and high computational demand.In this study,we propose a lightweight distillation CNN-Transformer SR architecture,named DCTA,for remote sensing SR,addressing the aforementioned issues.Specifically,the proposed DCTA first extracts the coarse features through the coarse feature extraction layer and then learns the deep features of remote sensing at different scales by fusing the feature distillation extraction module of CNN and Transformer.In addition,we introduce the feature fusion module at the end of the feature distillation extraction module to control the information propagation,aiming to select the informative components for better feature fusion.The extracted low-resolution(LR)feature maps are reorganized through the up-sampling module to obtain high-resolution(HR)feature maps with high accuracy to generate highquality HR remote sensing images.The experiments comparing different methods demonstrate that the proposed approach performs well on multiple datasets,including NWPU-RESISC45,Draper,and UC Merced.This is achieved by balancing reconstruction performance and network complexity,resulting in both competitive subjective and objective results. | Yu Wang Zhenfeng Shao Tao Lu Lifeng Liu Xiao Huang Jiaming Wang Kui Jiang Kangli Zeng | 2023 | International Journal of Digital Earth2023，16，1： | 0 |
| 14 | Deep learning-based local climate zone classification using Sentinel-1 SAR and Sentinel-2 multispectral imagery显示文摘As a newly developed classification system,the LCZ scheme provides a research framework for Urban Heat Island(UHI)studies and standardizes the worldwide urban temperature observa-tions.With the growing popularity of deep learning,deep learning-based approaches have shown great potential in LCZ mapping.Three major cities in China are selected as the study areas.In this study,we design a deep convolutional neural network architecture,named Residual combined Squeeze-and-Excitation and Non-local Network(RSNNet),that consists of the Squeeze-and-Excitation(SE)block and non-local block to classify LCZ using freely available Sentinel-1 SAR and Sentinel-2 multispectral imagery.Overall Accuracy(OA)of 0.9202,0.9524 and 0.9004 for three selected cities are obtained by applying RSNNet and training data of individual city,and OA of 0.9328 is obtained by training RSNNet with data from all three cities.RSNNet outperforms other popular Convolutional Neural Networks(CNNs)in terms of LCZ mapping accuracy.We further design a series of experiments to investigate the effect of different characteristics of Sentinel-1 SAR data on the performance of RSNNet in LCZ mapping.The results suggest that the combination of SAR and multispectral data can improve the accuracy of LCZ classification.The proposed RSNNet achieves an OA of 0.9425 when integrat-ing the three decomposed components with Sentinel-2 multispectral images,2.44%higher than using Sentinel-2 images alone. | Lin Zhou Zhenfeng Shao Shugen Wang Xiao Huang | 2022 | Geo-Spatial Information Science2022，25，3： | 0 |
| 15 | Functional Autapses Form in Striatal Parvalbumin Interneurons but not Medium Spiny Projection Neurons显示文摘Autapses selectively form in specific cell types in many brain regions.Previous studies have also found putative autapses in principal spiny projection neurons(SPNs)in the striatum.However,it remains unclear whether these neurons indeed form physiologically functional autapses.We applied whole-cell recording in striatal slices and identified autaptic cells by the occurrence of prolonged asynchronous release(AR)of neurotransmitters after bursts of high-frequency action potentials(APs).Surprisingly,we found no autaptic AR in SPNs,even in the presence of Sr^(2+).However,robust autaptic AR was recorded in parvalbumin(PV)-expressing neurons.The autaptic responses were mediated by GABA_(A) receptors and their strength was dependent on AP frequency and number.Further computer simulations suggest that autapses regulate spiking activity in PV cells by providing self-inhibition and thus shape network oscillations.Together,our results indicate that PV neurons,but not SPNs,form functional autapses,which may play important roles in striatal functions. | Xuan Wang Zhenfeng Shu Quansheng He Xiaowen Zhang Luozheng Li Xiaoxue Zhang Liang Li Yujie Xiao Bo Peng Feifan Guo Da-Hui Wang Yousheng Shu | 2023 | Neuroscience Bulletin2023，39，4： | 0 |
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