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| 1 | Perspective:optically-pumped Ⅲ–Ⅴ quantum dot microcavity lasers via CMOS compatible patterned Si (001) substrates显示文摘Direct epitaxial growthⅢ–Ⅴquantum dot(QD)structures on CMOS-compatible silicon substrates is considered as one of the most promising approaches to achieve low-cost and high-yield Si-based lasers for silicon photonic integration.However,epitaxial growth ofⅢ–Ⅴmaterials on Si encounters the following three major challenges:high density of threading dislocations,antiphase boundaries and thermal cracks,which significantly degrade the crystal quality and potential device performance.In this review,we will focus on some recent results related to InAs/GaAs quantum dot lasers on Si(001)substrates byⅢ–Ⅴ/Ⅳhybrid epitaxial growth via(111)-faceted Si hollow structures.Moreover,by using the step-graded epitaxial growth process the emission wavelength of InAs QDs can be extended from O-band to C/L-band.High-performance InAs/GaAs QD microdisk lasers with sub-milliwatts threshold on Si(001)substrates are fabricated and characterized.The above results pave a promising path towards the on-chip lasers for optical interconnect applications. | Wenqi Wei Qi Feng Zihao Wang Ting Wang Jianjun Zhang | 2019 | Journal of Semiconductors2019，40，10： | 2 |
| 2 | Decoding Cortical Glial Cell Development显示文摘Mouse cortical radial glial cells(RGCs)are primary neural stem cells that give rise to cortical oligodendrocytes,astrocytes,and olfactory bulb(OB)GABAergic interneurons in late embryogenesis.There are fundamental gaps in understanding how these diverse cell subtypes are generated.Here,by combining single-cell RNA-Seq with intersectional lineage analyses,we show that beginning at around E16.5,neocortical RGCs start to generate ASCL1^(+)EGFR^(+)apical multipotent intermediate progenitors(MIPCs),which then differentiate into basal MIPCs that express ASCL1,EGFR,OLIG2,and MKI67.These basal MIPCs undergo several rounds of divisions to generate most of the cortical oligodendrocytes and astrocytes and a subpopulation of OB interneurons.Finally,single-cell ATAC-Seq supported our model for the genetic logic underlying the specification and differentiation of cortical glial cells and OB interneurons.Taken together,this work reveals the process of cortical radial glial cell lineage progression and the developmental origins of cortical astrocytes and oligodendrocytes. | Xiaosu Li Guoping Liu Lin Yang Zhenmeiyu Li Zhuangzhi Zhang Zhejun Xu Yuqun Cai Heng Du Zihao Su Ziwu Wang Yangyang Duan Haotian Chen Zicong Shang Yan You Qi Zhang Miao He Bin Chen Zhengang Yang | 2021 | Neuroscience Bulletin2021，37，4： | 2 |
| 3 | 系统药理学方法发现汉黄芩苷作为新型三阴性乳腺癌血管生成抑制剂靶向Hedgehog通路显示文摘文章简介三阴性乳腺癌(TNBC)是一种侵袭性和异质性疾病,由于临床上缺乏可靶向的遗传突变,因而限制了靶向治疗的应用。近年来,系统生物学和多组学技术的崛起,极大地促进了系统药理学等网络方法在药物发现中的应用。 | 黄玉杰 方坚松 卢伟强 Zihao Wang Qi Wang Yuan Hou Xingwu Jiang Ofer Reizes Justin Lathia Ruth Nussinov Charis Eng Feixiong Cheng | 2020 | 科学新闻2020，，2： | 2 |
| 4 | Tin Halide Perovskite Solar Cells:An Emerging Thin-Film Photovoltaic Technology显示文摘Perovskite semiconductors are regarded as nextgeneration photovoltaic materials owing to their superb optoelectronic properties,including an excellent carrier diffusion length,strong light absorbption,low defect density,and solution processability.The PCE of lead perovskite solar cells(LPSC)rapidly increased from 3.8 to 25.5%in the past decade.However,the inclusion of soluble,toxic lead shadows its application due to environmental concerns.Furthermore,on the basis of the Shockley−Quisser(S−Q)limit,the efficiency of lead perovskite is limited to 32%since its band gap is>1.5 eV.To increase the efficiency of perovskite solar cells further,perovskite materials with a smaller band gap are required.Tin halide perovskite is currently the most promising alternative candidate that can address the above challenges due to its potentially less toxic character and electronic configuration analogous to that of lead.Its band gap(sub-1.4 eV)is lower than that of lead perovskite,approaching the ideal band gap with a theoretical efficiency of up to 33.4%based on the S−Q equation.However,tin perovskite is extremely easy to oxidize due to its unique electronic structure.Early works focus on the development of methods to reduce tin oxidation such as the addition of antioxidant additives or using low-dimensional structures.On the basis of these strategies,the reproducibility and efficiency of TPSCs have been significantly improved.In recent years,many works including composition engineering,functional additives,and device structure engineering have been used to improve the performance of TPSCs.On the basis of these strategies,the open-circuit voltage is improved to 0.94 V and the PCE certified by an independent laboratory is up to 12.4%.Meanwhile,the stability of TPSCs is significantly improved,and the stabilized power output time is up to 1000 h.Therefore,tin perovskite is emerging as a new generation of low-cost thin-film photovoltaic technology.This Account summarizes the properties of tin halide perovskites and the material and device engineering strategies toward more efficient and stable TPSCs.We highlight the unique properties of tin perovskites that distinguish them from lead perovskites,including their electronic structure,band structure,chemical properties,and so on.We discuss the critical challenges for the further development of TPSCs such as oxidation,high background carriers,uncontrollable crystallization,interface recombination,band alignment,and instability.In the end,we introduce potential directions for the future development of TPSCs including probing the formation mechanisms of tin perovskite,revealing the basic properties of Sn perovskite,overcoming the stability issue of TPSCs,and understanding TPSC device physics and structure engineering. | Xianyuan Jiang Zihao Zang Yuanyuan Zhou Hansheng Li Qi Wei Zhijun Ning | 2021 | Accounts of Materials Research2021，2，4： | 2 |
| 5 | The regulation of hematopoietic stem cell fate in the context of radiation显示文摘Hematopoietic system is one of the main target organs of irradiation injury.Exposure to radiation can cause acute myelosuppression and long-term hematopoietic injury due to the direct and indirect damage of hematopoietic stem cells(HSCs)that can self-renew and differentiate into all types of blood cells.So far,many factors in the modulation of HSC biology at steady status have been revealed,while how to orchestrate HSCs in the context of radiation has not been well established.Recently,an increasing number of studies focus on the underlying mechanisms involved in regulating HSC fate after radiation exposure by affecting DNA damage response(DDR),including DNA-damage repair,cell-cycle arrest,apoptosis and senescence,or bone marrow(BM)microenvironment.In this review,we summarize recent findings on intrinsic and extrinsic factors in the regulation of HSC fate after radiation exposure,which may further deepen our understanding of the radioprotection of HSCs. | Yukai Lu Mengjia Hu Zihao Zhang Yan Qi Junping Wang | 2020 | Radiation Medicine and Protection2020，1，1： | 1 |
| 6 | Printed Surface Defect Detection Model Based on Positive Samples显示文摘For a long time, the detection and extraction of printed surfacedefects has been a hot issue in the print industry. Nowadays, defect detectionof a large number of products still relies on traditional image processingalgorithms such as scale invariant feature transform (SIFT) and orientedfast and rotated brief (ORB), and researchers need to design algorithms forspecific products. At present, a large number of defect detection algorithmsbased on object detection have been applied but need lots of labeling sampleswith defects. Besides, there are many kinds of defects in printed surface,so it is difficult to enumerate all defects. Most defect detection based onunsupervised learning of positive samples use generative adversarial networks(GAN) and variational auto-encoders (VAE) algorithms, but these methodsare not effective for complex printed surface. Aiming at these problems, Inthis paper, an unsupervised defect detection and extraction algorithm forprinted surface based on positive samples in the complex printed surface isproposed innovatively. We propose a kind of defect detection and extractionnetwork based on image matching network. This network is divided into thefull convolution network of feature points extraction, and the graph attentionnetwork using self attention and cross attention. Though the key pointsextraction network, we can get robustness key points in the complex printedimages, and the graph network can solve the problem of the deviation becauseof different camera positions and the influence of defect in the differentproduction lines. Just one positive sample image is needed as the benchmarkto detect the defects. The algorithm in this paper has been proved in “TheFirst ZhengTu Cup on Campus Machine Vision AI Competition” and gotexcellent results in the finals. We are working with the company to apply it inproduction. | Xin Zihao Wang Hongyuan Qi Pengyu Du Weidong Zhang Ji Chen Fuhua | 2022 | Computers, Materials & Continua2022，，9： | 1 |
| 7 | The Solar Upper Transition Region Imager(SUTRI)Onboard the SATech-01 Satellite显示文摘The Solar Upper Transition Region Imager(SUTRI)onboard the Space Advanced Technology demonstration satellite(SATech-01),which was launched to a Sun-synchronous orbit at a height of~500 km in 2022 July,aims to test the on-orbit performance of our newly developed Sc/Si multi-layer reflecting mirror and the 2k×2k EUV CMOS imaging camera and to take full-disk solar images at the Ne VII 46.5 nm spectral line with a filter width of~3 nm.SUTRI employs a Ritchey-Chrétien optical system with an aperture of 18 cm.The on-orbit observations show that SUTRI images have a field of view of~416×416 and a moderate spatial resolution of~8″without an image stabilization system.The normal cadence of SUTRI images is 30 s and the solar observation time is about16 hr each day because the earth eclipse time accounts for about 1/3 of SATech-01's orbit period.Approximately15 GB data is acquired each day and made available online after processing.SUTRI images are valuable as the Ne VII 46.5 nm line is formed at a temperature regime of~0.5 MK in the solar atmosphere,which has rarely been sampled by existing solar imagers.SUTRI observations will establish connections between structures in the lower solar atmosphere and corona,and advance our understanding of various types of solar activity such as flares,filament eruptions,coronal jets and coronal mass ejections. | Xianyong Bai Hui Tian Yuanyong Deng Zhanshan Wang Jianfeng Yang Xiaofeng Zhang Yonghe Zhang Runze Qi Nange Wang Yang Gao Jun Yu Chunling He Zhengxiang Shen Lun Shen Song Guo Zhenyong Hou Kaifan Ji Xingzi Bi Wei Duan Xiao Yang Jiaben Lin Ziyao Hu Qian Song Zihao Yang Yajie Chen Weidong Qiao Wei Ge Fu Li Lei Jin Jiawei He Xiaobo Chen Xiaocheng Zhu Junwang He Qi Shi Liu Liu Jinsong Li Dongxiao Xu Rui Liu Taijie Li Zhenggong Feng Yamin Wang Chengcheng Fan Shuo Liu Sifan Guo Zheng Sun Yuchuan Wu Haiyu Li Qi Yang Yuyang Ye Weichen Gu Jiali Wu Zhe Zhang Yue Yu Zeyi Ye Pengfeng Sheng Yifan Wang Wenbin Li Qiushi Huang Zhong Zhang | 2023 | Research in Astronomy and Astrophysics2023，23，6： | 1 |
| 8 | Artificial Intelligence in Pharmaceutical Sciences显示文摘Drug discovery and development affects various aspects of human health and dramatically impacts the pharmaceutical market.However,investments in a new drug often go unrewarded due to the long and complex process of drug research and development(R&D).With the advancement of experimental technology and computer hardware,artificial intelligence(AI)has recently emerged as a leading tool in analyzing abundant and high-dimensional data.Explosive growth in the size of biomedical data provides advantages in applying AI in all stages of drug R&D.Driven by big data in biomedicine,AI has led to a revolution in drug R&D,due to its ability to discover new drugs more efficiently and at lower cost.This review begins with a brief overview of common AI models in the field of drug discovery;then,it summarizes and discusses in depth their specific applications in various stages of drug R&D,such as target discovery,drug discovery and design,preclinical research,automated drug synthesis,and influences in the pharmaceutical market.Finally,the major limitations of AI in drug R&D are fully discussed and possible solutions are proposed. | Mingkun Lu Jiayi Yin Qi Zhu Gaole Lin Minjie Mou Fuyao Liu Ziqi Pan Nanxin You Xichen Lian Fengcheng Li Hongning Zhang Lingyan Zheng Wei Zhang Hanyu Zhang Zihao Shen Zhen Gu Honglin Li Feng Zhu | 2023 | Engineering2023，，8： | 1 |
| 9 | Programmed death ligand-1 regulates angiogenesis and metastasis by participating in the c-JUN/VEGFR2 signaling axis in ovarian cancer显示文摘Background:Although programmed cell death-ligand 1(PD-L1)plays a wellknown function in immune checkpoint response by interacting with programmed cell death-1(PD-1),the cell-intrinsic role of PD-L1 in tumors is still unclear.Here,we explored the molecular regulatory mechanism of PD-L1 in the progression and metastasis of ovarian cancer.Methods:Immunohistochemistry of benign tissues and ovarian cancer samples was performed,followed by migration,invasion,and angiogenesis assays in PDL1-knockdown ovarian cancer cells.Immunoprecipitation,mass spectrometry,and chromatin immunoprecipitation were conducted along with zebrafish and mouse experiments to explore the specific functions and mechanisms of PD-L1 in ovarian cancer.Results:Our results showed that PD-L1 induced angiogenesis,which further promoted cell migration and invasion in vitro and in vivo of ovarian cancer.Mechanistically,PD-L1 was identified to directly interact with vascular endothelial growth factor receptor-2(VEGFR2)and then activated the FAK/AKT pathway,which further induced angiogenesis and tumor progression,leading to poor prognosis of ovarian cancer patients.Meanwhile,PD-L1 was found to be regulated by the oncogenic transcription factor c-JUN at the transcriptional level,which enhanced the expression of PD-L1 in ovarian cancer.Furthermore,we demonstrated that PD-L1 inhibitor durvalumab,combined with the antiangiogenic drug,apatinib,could enhance the effect of anti-angiogenesis and the inhibition of cell migration and invasion.Conclusion:Our results demonstrated that PD-L1 promoted the angiogenesis and metastasis of ovarian cancer by participating in the c-JUN/VEGFR2 signaling axis,suggesting that the combination of PD-L1 inhibitor and antiangiogenic drugs may be considered as a potential therapeutic approach for ovarian cancer patients. | Yufei Yang Lingfang Xia Yong Wu Hongyu Zhou Xin Chen Haoran Li Midie Xu Zihao Qi Ziliang Wang Huizhen Sun Xi Cheng | 2021 | Cancer Communications2021，41，6： | 1 |
| 10 | Bone morphogenetic protein 4 (BMP4) promotes hepatic glycogen accumulation and reduces glucose level in hepatocytes through mTORC2 signaling pathway显示文摘Liver is an important organ for regulating glucose and lipid metabolism.Recent studies have shown that bone morphogenetic proteins(BMPs)may play important roles in regu-lating glucose and lipid metabolism.Inour previous studies,we demonstrated that BMP4 signif-icantly inhibits hepatic steatosis and lowers serum triglycerides,playing a protective role against the progression of non-alcoholic fatty liver disease(NAFLD).However,the direct impact of BMP4 on hepatic glucose metabolism is poorly understood.Here,we investigated the regulatory roles of BMP4 in hepatic glucose metabolism.Through a comprehensive analysis of the 14 types of BMPs,we found that BMP4 was one of the most potent BMPs in promoting hepatic glycogen accumulation,reducing the level of glucose in hepatocytes and effecting the expression of genes related to glucose metabolism.Mechanistically,we demonstrated that BMP4 reduced the hepatic glucose lewels through the activation of mTORC2 signaling pathway in vitro and in wivo.Collectively,our findings strongly suggest that BMP4 may play an essential role in regulating hepatic glucose metabolism.This knowledge should aid us to understand the molecular pathogenesis of NAFLD,and may lead to the development of novel therapeutics by exploiting the inhibitory effects of BMPs on hepatic glucose and lipid metabolism. | Liqin An Qiong Shi Ying Zhu Hao Wang Qi Peng Jinghong Wu Yu Cheng Wei Zhang Yanyu Yi Zihao Bao Hui Zhang Yetao Luo Jiaming Fan | 2021 | Genes & Diseases2021，8，4： | 1 |
| 11 | MCMOD:The Multi-Category Large-Scale Dataset for Maritime Object Detection显示文摘The marine environment is becoming increasingly complex due tothe various marine vehicles,and the diversity of maritime objects poses a challengeto marine environmental governance.Maritime object detection technologyplays an important role in this segment.In the field of computer vision,there is no sufficiently comprehensive public dataset for maritime objects inthe contrast to the automotive application domain.The existing maritimedatasets either have no bounding boxes(which are made for object classification)or cover limited varieties of maritime objects.To fulfil the vacancy,this paper proposed the Multi-Category Large-Scale Dataset for MaritimeObject Detection(MCMOD)which is collected by 3 onshore video camerasthat capture data under various environmental conditions such as fog,rain,evening,etc.The whole dataset consists of 16,166 labelled images alongwith 98,590 maritime objects which are classified into 10 classes.Comparedwith the existing maritime datasets,MCMOD contains a relatively balancedquantity of objects of different sizes(in the view).To evaluate MCMOD,this paper applied several state-of-the-art object detection approaches fromcomputer vision research on it and compared their performances.Moreover,a comparison between MCMOD and an existing maritime dataset was conducted.Experimental results indicate that the proposed dataset classifies moretypes of maritime objects and covers more small-scale objects,which canfacilitate the trained detectors to recognize more types of maritime objects anddetect maritime objects over a relatively long distance.The obtained resultsalso showthat the adopted approaches need to be further improved to enhancetheir capabilities in the maritime domain. | Zihao Sun Xiao Hu Yining Qi Yongfeng Huang Songbin Li | 2023 | Computers, Materials & Continua2023，，4： | 0 |
| 12 | High-member low-dimensional Sn-based perovskite solar cells显示文摘Sn-based perovskites are promising thin-film photovoltaic materials for their ideal bandgap and the eco-friendliness of Sn,but the performance of Sn-based perovskite solar cells is hindered by the short carrier diffusion length and large defect density in nominally-synthesized Sn-based perovskite films.Herein we demonstrate that a long carrier diffusion length is achievable in quasi-2D Sn-based perovskite films consisting of high-member low-dimensional Ruddlesden-Popper(RP)phases with a preferred crystal orientation distribution.The key to the film synthesis is the use of a molecular additive formed by phenylethylammonium cations and optimally mixed halide-pseudohalide anions,which favorably tailors the quasi-2D Sn-based perovskite crystallization kinetics.The high-member RP film structure effectively enhances device short-circuit current density,giving rise to an increased power conversion efficiency(PCE)of 14.6%.The resulting device demonstrates a near-unity shelf stability upon1,000 h in nitrogen.A high reproductivity is also achieved with a count of 50 devices showing PCEs within a narrow range from minimum 13.0%to maximum 14.6%. | Hansheng Li Zihao Zang Qi Wei Xianyuan Jiang Mingyu Ma Zengshan Xing Jingtian Wang Danni Yu Fei Wang Wenjia Zhou Kam Sing Wong Philip C.Y.Chow Yuanyuan Zhou Zhijun Ning | 2023 | Science China Chemistry2023，66，2： | 0 |
| 13 | Heat management technology for solid-state high voltage and high repetitive pulse generators:Towards better effects and reliability显示文摘Solid-state high voltage high repetitive pulse generators have a broad prospect in various applications.The high power and high-frequency operation of the pulse generator suffer from the massive heat dissipation problem,which limits the improvement of the output parameters and even affects the lifetime.This article focuses on heat management technology for high voltage high repetitive pulse generators.Firstly,the typical circuit topology of the high repetitive pulse generators was summarised.From the perspective of different application requirements,the demands of the heat management design were concluded.Moreover,the heat generation characteristics and difficulties of solid-state high voltage high repetitive pulse generators were analysed.Then,the different stateof-art cooling techniques were reviewed,and their applicability and limitations for the high voltage high repetitive generators were discussed.Finally,a flow chart for heat management design was given. | Yanan Wang Linyuan Ren Zihao Yang Saikang Shen Zichen Deng Qi Yuan Weidong Ding Zhenjie Ding | 2024 | High Voltage2024，9，1： | 0 |
| 14 | HRPose:Real-Time High-Resolution 6D Pose Estimation Network Using Knowledge Distillation显示文摘Real-time six degrees-of-freedom(6D)object pose estimation is essential for many real-world applications,such as robotic grasping and augmented reality.To achieve an accurate object pose estimation from RGB images in real-time,we propose an effective and lightweight model,namely high-resolution 6D pose estimation network(HRPose).We adopt the efficient and small HRNetV2-W18 as a feature extractor to reduce computational burdens while generating accurate 6D poses.With only 33% of the model size and lower computational costs,our HRPose achieves comparable performance compared with state-of-the-art models.Moreover,by transferring knowledge from a large model to our proposed HRPose through output and feature-similarity distillations,the performance of our HRPose is improved in effectiveness and efficiency.Numerical experiments on the widely-used benchmark LINEMOD demonstrate the superiority of our proposed HRPose against state-of-the-art methods. | GUAN Qi SHENG Zihao XUE Shibei | 2023 | Chinese Journal of Electronics2023，32，1： | 0 |
| 15 | A Parameter-Free Approach to Determine the Lagrange Multiplier in the Level Set Method by Using the BESO显示文摘A parameter-free approach is proposed to determine the Lagrange multiplier for the constraint of material volume in the level set method.It is inspired by the procedure of determining the threshold of sensitivity number in the BESO method.It first computes the difference between the volume of current design and the upper bound of volume.Then,the Lagrange multiplier is regarded as the threshold of sensitivity number to remove the redundant material.Numerical examples proved that this approach is effective to constrain the volume.More importantly,there is no parameter in the proposed approach,which makes it convenient to use.In addition,the convergence is stable,and there is no big oscillation. | Zihao Zong Tielin Shi Qi Xia | 2021 | Computer Modeling in Engineering & Sciences2021，，7： | 0 |
| 16 | Interlayer exciton dynamics of transition metal dichalcogenide heterostructures under electric fields显示文摘Stacking single layers of atoms on top of each other provides a fundamental way to achieve novel material systems and engineer their physical properties,which offers opportunities for exploring fundamental physics and realizing next-generation optoelectronic devices.Among the two-dimensional(2D)-stacked systems,transition metal dichalcogenide(TMDC)heterostructures are particularly attractive because they host tightly-bonded interlayer excitons which possess various novel and appealing properties.These interlayer excitons have drawn significant research attention and hold high potential for the application in unique optoelectronic devices,such as polarization-and wavelength-tunable single photon emitters,valley Hall transistors,and possible high-temperature superconductors.The development of these devices requires a comprehensive understanding of the fundamental properties of these interlayer excitons and the impact of electric fields on their behaviors.In this review,we summarize the recent advances on the understanding of interlayer exciton dynamics under electric fields in TMDC heterostructures.We put emphasis on the electrical modulation of interlayer excitons’emission,the valley Hall transport of charge carriers after the separation of interlayer excitons by an electric field,and the correlation physics of interlayer excitons and charges under electrical doping and tuning.Challenges and perspectives are finally discussed for the application of TMDC heterostructures in future optoelectronics. | Jian Tang Yue Zheng Ke Jiang Qi You Zhentian Yin Zihao Xie Henan Li Cheng Han Xiaoxian Zhang Yumeng Shi | 2024 | Nano Research2024，17，5： | 0 |
| 17 | Design of novel RGO/2D strip-like ZIF-8/DMAOP ternary hybrid structure towards high-efficiency microwave absorption, active and passive anti-corrosion, and synergistic antibacterial performance显示文摘In order to meet the requirements of the marine environment for microwave absorption(MA)materials,we put forward the strategy of constructing multi-functional composite materials,which integrate microwave absorption,anti-corrosion,and antibacterial properties.Herein,graphene oxide(GO)was used as a template to induce the growth of zeolitic imidazolate framework-8(ZIF-8),simultaneously as a two-dimensional(2D)nanocontainers to load corrosion inhibitors to achieve pH-responsive and self-healing properties.Finally,quaternary ammonium salt(dimethyl octadecyl(3-trimethoxylsilyl propyl)ammonium chloride(DMAOP))and sodium ascorbate(VCNa)were introduced to achieve synergistic antibacterial activity and the reduction of GO.The 2D strip-like structure of ZIF-8 was due to the confined growth induced by the electrostatic attraction between ZIF-8 and GO sheets.The as-obtained reduced GO(RGO)/ZIF-8/DMAOP5 exhibited excellent microwave absorption(MA)properties,with a minimum reflection loss(RL)value of-47.08 dB at 12.73 GHz when the thickness was 2.8 mm.Moreover,the effective absorption bandwidth reached 6.84 GHz.After soaking in 3.5%NaCl solution for 35 days,the RGO/ZIF-8/DMAOP5-0.7%coating still achieved an impedance value of 4.585×107Ω·cm^(2) and a protective efficiency of 99.994%,providing superior anti-corrosion properties.In addition,fantastic antibacterial activity was obtained,with the antibacterial rates of RGO/ZIF-8/DMAOP_(10) reaching 99.39%and 100%against Escherichia coli and Staphylococcus aureus.This work could open new avenues towards the development of a new generation of multifunctional MA materials. | Tanlin Chen Yingrui Tian Zihao Guo Yao Chen Qing Qi Fanbin Meng | 2024 | Nano Research2024，17，3： | 0 |
| 18 | Determination of Double Beta Decay Half-Life of 136Xe with the PandaX-4T Natural Xenon Detector显示文摘Precise measurement of two-neutrino double beta decay(DBD)half-life is an important step for the searches of Majorana neutrinos with neutrinoless double beta decay.We report the measurement of DBD half-life of 136xe using the Pandax-4T dual-phase Time Projection Chamber(TPC)with 3.7-tonne natural xenon and the first 94.9-day physics data release. | Lin Si Zhaokan Cheng Abdusalam Abdukerim Zihao Bo Wei Chen Xun Chen Yunhua Chen Chen Cheng Yunshan Cheng Xiangyi Cui Yingjie Fan Deqing Fang Changbo Fu Mengting Fu Lisheng Geng Karl Giboni Linhui Gu Xuyuan Guo Ke Han Changda He Jinrong He Di Huang Yanlin Huang Zhou Huang Ruquan Hou Xiangdong Ji Yonglin Ju Chenxiang Li Jiafu Li Mingchuan Li Shu Li Shuaijie Li Qing Lin Jianglai Liu Xiaoying Lu Lingyin Luo Yunyang Luo Wenbo Ma Yugang Ma Yujun Mao Yue Meng Nasir Shaheed Xiaofeng Shang Xuyang Ning Ningchun Qi Zhicheng Qian Xiangxiang Ren Changsong Shang Guofang Shen Wenliang Sun Andi Tan Yi Tao Anqing Wang Meng Wang Qiuhong Wang Shaobo Wang Siguang Wang Wei Wang Xiuli Wang Zhou Wang Yuehuan Wei Mengmeng Wu Weihao Wu Jingkai Xia Mengjiao Xiao Xiang Xiao Pengwei Xie Binbin Yan Xiyu Yan Yong Yang Chunxu Yu Jumin Yuan Ying Yuan Zhe Yuan Dan Zhang Minzhen Zhang Peng Zhang Shibo Zhang Shu Zhang Tao Zhang Li Zhao Qibin Zheng Jifang Zhou Ning Zhou Xiaopeng Zhou Yong Zhou | 2023 | Research2023，，2： | 0 |
| 19 | TMCA-Net: A Compact Convolution Network for Monitoring Upper Limb Rehabilitation显示文摘This study proposed a lightweight but high-performance convolu-tion network for accurately classifying five upper limb movements of arm,involving forearm flexion and rotation,arm extension,lumbar touch and no reaction state,aiming to monitoring patient’s rehabilitation process and assist the therapist in elevating patient compliance with treatment.To achieve this goal,a lightweight convolution neural network TMCA-Net(Time Mul-tiscale Channel Attention Convolutional Neural Network)is designed,which combines attention mechanism,uses multi-branched convolution structure to automatically extract feature information at different scales from sensor data,and filters feature information based on attention mechanism.In particular,channel separation convolution is used to replace traditional convolution.This reduces the computational complexity of the model,decouples the convolution operation of the time dimension and the cross-channel feature interaction,which is helpful to the target optimization of feature extraction.TMCA-Net shows excellent performance in the upper limb rehabilitation ges-ture data,achieves 99.11%accuracy and 99.16%F1-score for the classification and recognition of five gestures.Compared with CNN and LSTM network,it achieves 65.62%and 89.98%accuracy in the same task.In addition,on the UCI smartphone public dataset,with the network parameters of one tenth of the current advanced model,the recognition accuracy rate of 95.21%has been achieved,which further proves the light weight and performance characteristics of the model.The clinical significance of this study is to accurately monitor patients’upper limb rehabilitation gesture by an affordable intelligent model as an auxiliary support for therapists’decision-making. | Qi Liu Zihao Wu Xiaodong Liu | 2022 | Journal on Internet of Things2022，4，3： | 0 |
| 20 | Non-intrusive temperature rise fault-identification of distribution cabinet based on tensor block-matching显示文摘In this study,a novel non-intrusive temperature rise fault-identification method for a distribution cabinet based on tensor block-matching is proposed.Two-stage data repair is used to reconstruct the temperature-field information to support the demand for temperature rise fault-identification of non-intrusive distribution cabinets.In the coarse-repair stage,this method is based on the outside temperature information of the distribution cabinet,using tensor block-matching technology to search for an appropriate tensor block in the temperature-field tensor dictionary,filling the target space area from the outside to the inside,and realizing the reconstruction of the three-dimensional temperature field inside the distribution cabinet.In the fine-repair stage,tensor super-resolution technology is used to fill the temperature field obtained from coarse repair to realize the smoothing of the temperature-field information inside the distribution cabinet.Non-intrusive temperature rise fault-identification is realized by setting clustering rules and temperature thresholds to compare the location of the heat source with the location of the distribution cabinet components.The simulation results show that the temperature-field reconstruction error is reduced by 82.42%compared with the traditional technology,and the temperature rise fault-identification accuracy is greater than 86%,verifying the feasibility and effectiveness of the temperature-field reconstruction and temperature rise fault-identification. | Jie Tong Yuanpeng Tan Zhonghao Zhang Qizhe Zhang Wenhao Mo Yingqiang Zhang Zihao Qi | 2023 | Global Energy Interconnection2023，6，3： | 0 |
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