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Rare Metals 2024年第4期43卷 1815-1827页

作者： Sheng-Feng Zhou Yu Long Yan-Liang Yi cheng deng Lian-Xi Hu Institute of Advanced Wear & Corrosion Resistant and Functional Materials Jinan University Wuhan National Laboratory for Optoelectronics (WNLO) Huazhong University of Science and Technology MOE Key Laboratory of New Processing Technology for NonFerrous Metals and Materials Guangxi Key Laboratory of Processing for Non-Ferrous Metals and Featured Materials Guangxi University School of Mechatronics Engineering Guangdong Polytechnic Normal University School of Materials Science and Engineering Harbin Institute of Technology

To improve the wear performance of CoCrAlYTa coating,part of the carbon nanotubes（CNTs）chemically reacted with Ta to form reinforcement phase（TaC）,while the other CNTs were retained as lubrication phase.Subsequently,the CoCrAlYTa-xCNTs（x=0,1,2,and 4;wt%） composite coatings were prepared by laserinduction hybrid cladding（LIHC）,and the microstructure and wear resistance of coatings were systematically analyzed.Results show that the coatings are mainly composed of TaC,y-（Co,Cr） and β-（Co,Cr）Al.As the CNTs content increases from 0 wt% to 4 wt%,the volume fraction of TaC increases from 13.11 vol% to 16.12 vol%.Meanwhile,the nano-hardness of γ-（Co,Cr） and β-（Co,Cr）Al are improved from 7.49 and 9.72 to 9.36 and 11.19 GPa,respectively.As a result,the microhardness of coating increases from HV536.25 to HV 738.16,the wear rate decreases from32.4 × 10-3to 6.1 × 10-3mg·m-1,and the average friction coefficient decreases from 0.55 to 0.44.The good wear performance of the coating is attributed to the formation of TaC and the existence of remained CNTs lubricant film.

关键词： Carbon nanotube MCrAlY coating Friction and wear performance Laser-induction hybrid cladding

HIF-1α signaling: Essential roles in tumorigenesis and implications in targeted therapies

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Genes & Diseases 2024年第1期11卷 234-251页

作者： Yan Zhao cheng Xing Yating deng Can Ye Hongling Peng Department of Hematology The Second Xiangya HospitalCentral South UniversityChangshaHunan 410011China Hunan Key Laboratory of Tumor Models and Individualized Medicine The Second Xiangya HospitalCentral South UniversityChangshaHunan 410011China Hunan Engineering Research Center of Cell Immunotherapy for Hematopoietic Malignancies The Second Xiangya HospitalCentral South UniversityChangshaHunan 410011China

The hypoxic microenvironment is an essential characteristic of most malignant tu-mors.Notably,hypoxia-inducible factor-1 alpha(HIF-1a)is a key regulatory factor of cellular adaptation to hypoxia,and many critical pathways are correlated with the biological activity of organisms via HIF-1a.In the intra-tumoral hypoxic environment,HIF-1αis highly expressed and contributes to the malignant progression of tumors,which in turn results in a poor prog-nosis in patients.Recently,it has been indicated that HiF-1αinvolves in various critical pro-cesses of life events and tumor development via regulating the expression of HiF-1a target genes,such as cell proliferation and apoptosis,angiogenesis,glucose metabolism,immune response,therapeutic resistance,etc.Apart from solid tumors,accumulating evidence has re-vealed that HiF-1αis also closely associated with the development and progression of hemato-logical malignancies,such as leukemia,lymphoma,and multiple myeloma.Targeted inhibition of HiF-1a can facilitate an increased sensitivity of patients with malignancies to relevant ther-apeutic agents.In the review,we elaborated on the basic structure and biological functions of HIF-1a and summarized their current role in various malignancies.It is expected that they will have future potential fortargeted therapy.

关键词： Angiogenesis Hematological malignancies Hypoxia-inducible factor-1 alpha(HIF-1α) Immune escape Targeted therapy

A New Vehicle Detection Framework Based on Feature-Guided in the Road Scene

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Computers, Materials & Continua 2024年第1期78卷 533-549页

作者： Tianmin deng Xiyue Zhang Xinxin cheng School of Traffic and Transportation Chongqing Jiaotong UniversityChongqing400074China

Vehicle detection plays a crucial role in the field of autonomous driving technology.However,directly applying deep learning-based object detection algorithms to complex road scene images often leads to subpar performance and slow inference speeds in vehicle detection.Achieving a balance between accuracy and detection speed is crucial for real-time object detection in real-world road scenes.This paper proposes a high-precision and fast vehicle detector called the feature-guided bidirectional pyramid network(FBPN).Firstly,to tackle challenges like vehicle occlusion and significant background interference,the efficient feature filtering module(EFFM)is introduced into the deep network,which amplifies the disparities between the features of the vehicle and the background.Secondly,the proposed global attention localization module(GALM)in the model neck effectively perceives the detailed position information of the target,improving both the accuracy and inference speed of themodel.Finally,the detection accuracy of small-scale vehicles is further enhanced through the utilization of a four-layer feature pyramid structure.Experimental results show that FBPN achieves an average precision of 60.8% and 97.8% on the BDD100K and KITTI datasets,respectively,with inference speeds reaching 344.83 frames/s and 357.14 frames/s.FBPN demonstrates its effectiveness and superiority by striking a balance between detection accuracy and inference speed,outperforming several state-of-the-art methods.

关键词： Driverless car vehicle detection channel attention mechanism deep learning

Progress in the application of polymer fibers in solid electrolytes for lithium metal batteries

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Journal of Energy Chemistry 2024年第5期92卷 26-42页

作者： Junbao Kang Nanping deng Bowen cheng Weimin Kang State Key Laboratory of Separation Membranes and Membrane Processes/National Center for International Joint Research on Separation Membranes School of Textile Science and EngineeringTiangong UniversityTianjin 300387China

Solid state lithium metal batteries(SSLMBs)are considered to be one of the most promising battery systems for achieving high energy density and excellent safety for energy storage in the future.However,current existed solid-state electrolytes(SSEs)are still difficult to meet the practical application requirements of SSLMBs.In this review,based on the analysis of main problems and challenges faced by the development of SSEs,the ingenious application and latest progresses including specific suggestions of various polymer fibers and their membrane products in solving these issues are emphatically reviewed.Firstly,the inherent defects of inorganic and organic electrolytes are pointed out.Then,the application strategies of polymer fibers/fiber membranes in strengthening strength,reducing thickness,enhancing thermal stability,increasing the film formability,improving ion conductivity and optimizing interface stability are discussed in detail from two aspects of improving physical structure properties and electrochemical performances.Finally,the researches and development trends of the intelligent applications of high-performance polymer fibers in SSEs is prospected.This review intends to provide timely and important guidance for the design and development of polymer fiber composite SSEs for SSLMBs.

关键词： Composite solide lectrolytes Polymer fibers Solid-state lithium metal batteries Solid-stateel ectrolytes Nanofiber membranes

Scenarios analysis and performance assessment of blockchain integrated in 6G scenarios

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Science China(Information Sciences) 2024年第7期67卷 5-26页

作者： Bo LI Guanjie cheng Honghao GAO Xueqiang YAN Shuiguang deng College of Computer Science and Technology Zhejiang University College of Computer Science and Technology Shanghai University 2012 Lab Huawei Technologies Co. Ltd.

Emerging applications such as smart city infrastructures and virtual reality landscapes are setting rigorous benchmarks for 6G mobile networks, requiring elevated levels of confidentiality, integrity, nonrepudiation, authentication, and stringent access controls. Blockchain technology is heralded as a transformative enabler for meeting 6G standards, owing to its intrinsic attributes. However, a gap exists in the holistic investigation of blockchain's applicability in 6G realms, particularly addressing the “whether”, “when”, and“how” of its deployment. Present research trails in developing robust methodologies to gauge blockchain's efficacy within 6G use cases. Addressing this, our study introduces a novel confluence of blockchain with 6G networks, where data resides in distributed Hash tables(DHTs) while their hashes are secured in distributed ledger technology(DLT), harnessing blockchain's core strengths-immutability, traceability, and fortified security. We delineate seven specific 6G use cases poised for enhancement through blockchain integration,and scrutinize the rationale, nature, and timing of this convergence. Furthermore, we devise a comprehensive methodology for assessing blockchain's performance metrics and scalability in 6G environments. Our extensive experimental analyses evaluate the synergistic performance of this integration, revealing that the Quorum blockchain satisfactorily supports 80% of 6G scenarios. The findings suggest that, with appropriate configurations, consortium blockchains are well-equipped to fulfill the demanding performance and scalability requisites of 6G networks.

关键词： blockchain distributed ledger technology (DLT) 6G performance assessment 6G scenarios analysis transaction arrival rate

Improvement in Tol2 transposon for efficient large-cargo capacity transgene applications in cultured cells and zebrafish(Danio rerio)

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Zoological Research 2024年第3期45卷 567-574页

作者： Peng-cheng Wang Hao deng Rang Xu Jiu-Lin Du Rongkun Tao Department of Pediatric Cardiology Xinhua HospitalShanghai Jiao Tong University School of MedicineShanghai 200092China Institute of Neuroscience State Key Laboratory of NeuroscienceCenter for Excellence in Brain Science and Intelligence TechnologyChinese Academy of SciencesShanghai 200031China Medical School Kunming University of Science and TechnologyKunmingYunnan 650500China Scientific Research Center Xinhua HospitalShanghai Jiao Tong University School of MedicineShanghai 200092China University of Chinese Academy of Sciences Beijing 100049China School of Life Science and Technology ShanghaiTech UniversityShanghai 200031China

Most viruses and transposons serve as effective carriers for the introduction of foreign DNA up to 11 kb into vertebrate genomes.However,their activity markedly diminishes with payloads exceeding 11 kb.Expanding the payload capacity of transposons could facilitate more sophisticated cargo designs,improving the regulation of expression and minimizing mutagenic risks associated with molecular therapeutics,metabolic engineering,and transgenic animal production.In this study,we improved the Tol2 transposon by increasing protein expression levels using a translational enhancer(QBI SP163,ST)and enhanced the nuclear targeting ability using the nuclear localization protein H2B(SHT).The modified Tol2 and ST transposon efficiently integrated large DNA cargos into human cell cultures(H1299),comparable to the well-established super PiggyBac system.Furthermore,mRNA from ST and SHT showed a significant increase in transgene delivery efficiency of large DNA payloads(8 kb,14 kb,and 24 kb)into zebrafish(Danio rerio).This study presents a modified Tol2 transposon as an enhanced nonviral vector for the delivery of large DNA payloads in transgenic applications.

关键词： Zebrafish Tol2 transposase Transgene Large payload Synthetic biology

3D‑Printed Carbon‑Based Conformal Electromagnetic Interference Shielding Module for Integrated Electronics

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Nano-Micro Letters 2024年第5期16卷 87-101页

作者： Shaohong Shi Yuheng Jiang Hao Ren Siwen deng Jianping Sun Fangchao cheng Jingjing Jing Yinghong Chen State Key Laboratory of Featured Metal Materials and Life‑Cycle Safety for Composite Structures School of ResourcesEnvironment and MaterialsGuangxi UniversityNo.100Daxuedong RoadNanning 530004People’s Republic of China State Key Laboratory of Polymer Materials Engineering Polymer Research Institute of Sichuan UniversitySichuan UniversityNo.24 South Section 1Yihuan RoadChengdu 610065People’s Republic of China

Electromagnetic interference shielding(EMI SE)modules are the core com-ponent of modern electronics.However,the tra-ditional metal-based SE modules always take up indispensable three-dimensional space inside electronics,posing a major obstacle to the integra-tion of electronics.The innovation of integrating 3D-printed conformal shielding(c-SE)modules with packaging materials onto core electronics offers infinite possibilities to satisfy ideal SE func-tion without occupying additional space.Herein,the 3D printable carbon-based inks with various proportions of graphene and carbon nanotube nanoparticles are well-formulated by manipulating their rheological peculiarity.Accordingly,the free-constructed architectures with arbitrarily-customized structure and multifunctionality are created via 3D printing.In particular,the SE performance of 3D-printed frame is up to 61.4 dB,simultaneously accompanied with an ultralight architecture of 0.076 g cm^(-3) and a superhigh specific shielding of 802.4 dB cm3 g^(-1).Moreover,as a proof-of-concept,the 3D-printed c-SE module is in situ integrated into core electronics,successfully replacing the traditional metal-based module to afford multiple functions for electromagnetic compatibility and thermal dissipa-tion.Thus,this scientific innovation completely makes up the blank for assembling carbon-based c-SE modules and sheds a brilliant light on developing the next generation of high-performance shielding materials with arbitrarily-customized structure for integrated electronics.

关键词： 3D printing Carbon-based nanoparticles Conformal electromagnetic interference shielding Integrated electronics

Simultaneous dual-region two-photon imaging of biological dynamics spanning over 9 mm in vivo

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Photonics Research 2024年第3期12卷 456-464页

作者： CHI LIU cheng JIN JUNHAO deng JUNHAO LIANG LIcheng ZHANG LINGJIE KONG State Key Laboratory of Precision Measurement Technology and Instruments Department of Precision InstrumentTsinghua UniversityBeijing 100084China School of Life Sciences Tsinghua UniversityBeijing 100084China Senior Department of Orthopedics The Fourth Medical Center of Chinese PLA General HospitalBeijing 100853China IDG/McGovern Institute for Brain Research Tsinghua UniversityBeijing 100084China

Biodynamical processes,especially in system biology,that occur far apart in space may be highly correlated.To study such biodynamics,simultaneous imaging over a large span at high spatio-temporal resolutions is highly desired.For example,large-scale recording of neural network activities over various brain regions is indispensable in neuroscience.However,limited by the field-of-view(FoV)of conventional microscopes,simultaneous recording of laterally distant regions at high spatio-temporal resolutions is highly challenging.Here,we propose to extend the distance of simultaneous recording regions with a custom micro-mirror unit,taking advantage of the long working distance of the objective and spatio-temporal multiplexing.We demonstrate simultaneous dual-region two-photon imaging,spanning as large as 9 mm,which is 4 times larger than the nominal FoV of the objective.We verify the system performance in in vivo imaging of neural activities and vascular dilations,simultaneously,at two regions in mouse brains as well as in spinal cords,respectively.The adoption of our proposed scheme will promote the study of systematic biology,such as system neuroscience and system immunology.

关键词： recording vivo dynamics

A review of structural modification and biological activities of oleanolic acid

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Chinese Journal of Natural Medicines 2024年第1期22卷 15-30页

作者： YANG Huali deng Minghui JIA Hongwei ZHANG Kaicheng LIU Yang cheng Maosheng XIAO Wei State Key Laboratory of New-tech for Chinese Medicine Pharmaceutical Process Jiangsu Kanion Pharmaceutical Co.Ltd.Lianyungang 222001China Key Laboratory of Structure-Based Drug Design&Discovery of Ministry of Education School of Pharmaceutical EngineeringShenyang Pharmaceutical UniversityShenyang 110016China

Oleanolic acid(OA),a pentacyclic triterpenoid,exhibits a broad spectrum of biological activities,including antitumor,antiviral,antibacterial,anti-inflammatory,hepatoprotective,hypoglycemic,and hypolipidemic effects.Since its initial isolation and identification,numerous studies have reported on the structural modifications and pharmacological activities of OA and its derivatives.Despite this,there has been a dearth of comprehensive reviews in the past two decades,leading to challenges in subsequent research on OA.Based on the main biological activities of OA,this paper comprehensively summarized the modification strategies and structureactivity relationships(SARs)of OA and its derivatives to provide valuable reference for future investigations into OA.

关键词： Oleanolic acid Derivatives Pentacyclic triterpenoid Structural modification Biological activities

Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data

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Machine Intelligence Research 2024年第2期21卷 318-330页

作者： Yu-cheng Chou Bowen Li deng-Ping Fan Alan Yuille Zongwei Zhou Department of Computer Science Johns Hopkins UniversityBaltimore 21218USA Computer Vision Lab ETH ZurichZurich 8001Switzerland

Creating large-scale and well-annotated datasets to train AI algorithms is crucial for automated tumor detection and localization.However,with limited resources,it is challenging to determine the best type of annotations when annotating massive amounts of unlabeled data.To address this issue,we focus on polyps in colonoscopy videos and pancreatic tumors in abdominal CT scans;Both applications require significant effort and time for pixel-wise annotation due to the high dimensional nature of the data,involving either temporary or spatial dimensions.In this paper,we develop a new annotation strategy,termed Drag&Drop,which simplifies the annotation process to drag and drop.This annotation strategy is more efficient,particularly for temporal and volumetric imaging,than other types of weak annotations,such as per-pixel,bounding boxes,scribbles,ellipses and points.Furthermore,to exploit our Drag&Drop annotations,we develop a novel weakly supervised learning method based on the watershed algorithm.Experimental results show that our method achieves better detection and localization performance than alternative weak annotations and,more importantly,achieves similar performance to that trained on detailed per-pixel annotations.Interestingly,we find that,with limited resources,allocating weak annotations from a diverse patient population can foster models more robust to unseen images than allocating per-pixel annotations for a small set of images.In summary,this research proposes an efficient annotation strategy for tumor detection and localization that is less accurate than per-pixel annotations but useful for creating large-scale datasets for screening tumors in various medical modalities.

关键词： Weak annotation detection localization segmentation colonoscopy abdomen