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Spatiotemporal transformable nano-assembly for on-demand drug delivery to enhance anti-tumor immunotherapy
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作者 Chenglin Liang Ge Zhang +5 位作者 Linlin Guo Xinyi Ding Heng Yang Hongling Zhang Zhenzhong Zhang Lin Hou 《Asian Journal of Pharmaceutical Sciences》 SCIE CAS 2024年第1期103-118,共16页
Induction of tumor cell senescence has become a promising strategy for anti-tumor immunotherapy,but fibrotic matrix severely blocks senescence inducers penetration and immune cells infiltration.Herein,we designed a ca... Induction of tumor cell senescence has become a promising strategy for anti-tumor immunotherapy,but fibrotic matrix severely blocks senescence inducers penetration and immune cells infiltration.Herein,we designed a cancer-associated fibroblasts(CAFs)triggered structure-transformable nano-assembly(HSD-P@V),which can directionally deliver valsartan(Val,CAFs regulator)and doxorubicin(DOX,senescence inducer)to the specific targets.In detail,DOX is conjugated with hyaluronic acid(HA)via diselenide bonds(Se-Se)to form HSD micelles,while CAFs-sensitive peptide is grafted onto the HSD to form a hydrophilic polymer,which is coated on Val nanocrystals(VNs)surface for improving the stability and achieving responsive release.Once arriving at tumor microenvironment and touching CAFs,HSD-P@V disintegrates into VNs and HSD micelles due to sensitive peptide detachment.VNs can degrade the extracellularmatrix,leading to the enhanced penetration of HSD.HSD targets tumor cells,releases DOX to induce senescence,and recruits effector immune cells.Furthermore,senescent cells are cleared by the recruited immune cells to finish the integrated anti-tumor therapy.In vitro and in vivo results show that the nanoassembly remarkably inhibits tumor growth as well as lungmetastasis,and extends tumorbearing mice survival.This work provides a promising paradigm of programmed delivering multi-site nanomedicine for cancer immunotherapy. 展开更多
关键词 Cells senescence Tumor stroma Structure transformable Programmed delivery Anti-tumor immunotherapy
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Elite,transformable haploid inducers in maize
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作者 Brent Delzer Dawei Liang +22 位作者 David Szwerdszarf Isadora Rodriguez Gonzalo Mardones Sivamani Elumalai Francine Johnson Samson Nalapalli Rachel Egger Erin Burch Kerry Meier Juan Wei Xiujuan Zhang Huaping Gui Huaibing Jin Huan Guo Kun Yu Yubo Liu Becky Breitinger Ana Poets Jason Nichols Wan Shi David Skibbe Qiudeng Que Timothy Kelliher 《The Crop Journal》 SCIE CSCD 2024年第1期314-319,共6页
The introduction of alleles into commercial crop breeding pipelines is both time consuming and costly.Two technologies that are disrupting traditional breeding processes are doubled haploid(DH)breeding and genome edit... The introduction of alleles into commercial crop breeding pipelines is both time consuming and costly.Two technologies that are disrupting traditional breeding processes are doubled haploid(DH)breeding and genome editing(GE).Recently,these techniques were combined into a GE trait delivery system called HI-Edit(Haploid Inducer-Edit).In HI-Edit,the pollen of a haploid inducer line is reprogrammed to deliver GE traits to any variety,obviating recurrent selection.For HI-Edit to operate at scale,an efficient transformable HI line is needed,but most maize varieties are recalcitrant to transformation,and haploid inducers are especially difficult to transform given their aberrant reproductive behaviors.Leveraging marker assisted selection and a three-tiered testing scheme,we report the development of new Iodent and Stiff Stalk maize germplasm that are transformable,have high haploid induction rates,and exhibit a robust,genetically-dominant anthocyanin native trait that may be used for rapid haploid identification.We show that transformation of these elite‘‘HI-Edit”lines is enhanced using the BABYBOOM and WUSCHEL morphogenetic factors.Finally,we evaluate the HI-Edit performance of one of the lines against both Stiff Stalk and non-Stiff Stalk testers.The strategy and results of this study should facilitate the development of commercially scalable HI-Edit systems in diverse crops. 展开更多
关键词 Zea mays L Doubled haploids TRANSFORMATION Genome editing QTL
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Recent advances of transformable nanoparticles for theranostics 被引量:3
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作者 Kuo Zhang Pei-Pei Yang +2 位作者 Jing-Ping Zhang Lei Wang Hao Wang 《Chinese Chemical Letters》 SCIE CAS CSCD 2017年第9期1808-1816,共9页
In recent years,various transformable nanoparticles(NPs)were successfully prepared and widely utilized for biomedical applications.The sizes,surface charges or morphologies of transformable NPs would affect their be... In recent years,various transformable nanoparticles(NPs)were successfully prepared and widely utilized for biomedical applications.The sizes,surface charges or morphologies of transformable NPs would affect their behavior in physiological/pathological conditions including circulation,penetration,accumulation and retention etc.The other way round,the NPs could be precisely modulated in the specific physiological/pathological condition for precision theranostics of diseases.Herein,we summarized recent advances of transformable NPs for disease diagnostics and therapy.In this review,the transformation of NPs was divided into three groups including changes in size,surface charge and morphology,which was induced by internal stimuli,such as p H,enzyme,receptor or external stimuli,such as light,temperature etc.Moreover,we focused on the characterization of structural transformation in vivo,as well as the transformation-induced biological effects for theranostics of disease. 展开更多
关键词 transformable Nanoparticles Tumor Imaging Therapy
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Nature and Kinetic Architecture: The Development of a New Type of Transformable Structure for Temporary Applications
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作者 Maziar Asefi Aysan Foruzandeh 《Journal of Civil Engineering and Architecture》 2011年第6期513-526,共14页
The contemplation of contemporary architectural designs shows an increasing demand for the development of more adaptable, flexible and transformable structures. This type of structures can adapt with different environ... The contemplation of contemporary architectural designs shows an increasing demand for the development of more adaptable, flexible and transformable structures. This type of structures can adapt with different environmental conditions and meet different functions. This can help in reducing environmental waste and pollution associated with many buildings and above all can save on cost and time. Natural systems have inspired human being, since they began to build and design. Architects and designers have utilized nature as one of the main resources of information for the creation of innovative architectural spaces. One of the unique features of natural structures is the way that their components open and close in order to respond to a particular requirement or the environmental changes. This aspect has inspired many designers for the development of transformable architectural structures that can change their shape and geometry to be able to adapt with specific conditions. To make a way toward the design of transformable structure for temporary applications, the authors have developed a new type of adaptable structures according to natural forms. The proposed design applies the transformation principles that exist in potato's flower and the movement mechanisms used in a spider's leg. The design is able to fit to different topographies and have a potential to be folded to a very compact state in a very short period of time. The detailed design and the different configurations of the system applications will be presented in this paper. The result of the study shows that using modular triangular plates can create a changeable module that is not only able to respond to different functions and environmental changes but it is also able to shape different configuration to be able to respond to different user's ambitions. The compactability of this structure into 1/3 of its base dimensions; makes its transportation fast and with minimum costs. These capabilities make this structure suitable for temporary buildings such as exhibitions, temporary settlements or hospital in damaged areas. 展开更多
关键词 Flexible changeable transformable temporary structure natural lessons.
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Geometric Study of Two-Dimension Stellated Reentrant Auxetic Structures to Transformable Architecture
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作者 MªDoloresÁlvarez Elipe 《Journal of Architectural Environment & Structural Engineering Research》 2023年第1期17-24,共8页
Transformable architecture is totally linked to the study and knowledge of geometry.There are some materials in nature,whose geometric invariants establish equivalent structural behavior regarding the scalar transform... Transformable architecture is totally linked to the study and knowledge of geometry.There are some materials in nature,whose geometric invariants establish equivalent structural behavior regarding the scalar transformations,developing different spatial typologies according to dimensional variation.Auxetic materials are characterized by their negative Poisson’s ratio.They can change their geometric configuration from a line to a surface,and from a surface to a volume or spatial framework.This paper is based on establishing and comparing those stellated reentrant auxetic geometries to be able to build new spaces defined by their capacity for architectural transformation,studying analytically geometric properties of stellated reentrant auxetic structures that,from the molecular to the macroscopic level,can be part of the architecture construction.In this investigation,a comparative study by means of CAD of stellated reentrant auxetic patterns has been realized.A Computer-Aided Design study of stellated reentrant auxetic structures will be realized to use them in architecture.The geometric behavior of the different stellated reentrant auxetic patterns is analyzed from the developed study to generate a systematic comparison,evaluating properties of these forms,such as their maximum achievable area reductions in relation to the total length of bars of the structure,in order to obtain a growth factor. 展开更多
关键词 transformable ARCHITECTURE GEOMETRY AUXETIC Stellated REENTRANT CAD Growth factor
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A Sub-Nanostructural Transformable Nanozyme for Tumor Photocatalytic Therapy 被引量:6
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作者 Xi Hu Nan Wang +8 位作者 Xia Guo Zeyu Liang Heng Sun Hongwei Liao Fan Xia Yunan Guan Jiyoung Lee Daishun Ling Fangyuan Li 《Nano-Micro Letters》 SCIE EI CAS CSCD 2022年第6期282-293,共12页
The structural change-mediated catalytic activity regulation plays a significant role in the biological functions of natural enzymes.However,there is virtually no artificial nanozyme reported that can achieve natural ... The structural change-mediated catalytic activity regulation plays a significant role in the biological functions of natural enzymes.However,there is virtually no artificial nanozyme reported that can achieve natural enzyme-like stringent spatiotemporal structure-based catalytic activity regulation.Here,we report a subnanostructural transformable gold@ceria(STGC-PEG)nanozyme that performs tunable catalytic activities via near-infrared(NIR)light-mediated sub-nanostructural transformation.The gold core in STGC-PEG can generate energetic hot electrons upon NIR irradiation,wherein an internal sub-nanostructural transformation is initiated by the conversion between CeO;and electron-rich state of CeO;-x,and active oxygen vacancies generation via the hot-electron injection.Interestingly,the sub-nanostructural transformation of STGC-PEG enhances peroxidase-like activity and unprecedentedly activates plasmon-promoted oxidase-like activity,allowing highly efficient low-power NIR light(50 m W cm;)-activated photocatalytic therapy of tumors.Our atomic-level design and fabrication provide a platform to precisely regulate the catalytic activities of nanozymes via a light-mediated sub-nanostructural transformation,approaching natural enzyme-like activity control in complex living systems. 展开更多
关键词 Nanozymes Sub-nanostructural transformation Catalytic activity Reactive oxygen species Photocatalytic therapy
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Effects of Al addition and cryogenic cyclic treatment on impact toughness of phase-transformable Ti-based bulk metallic glass composites 被引量:1
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作者 Tingyi Yan Long Zhang +6 位作者 R.Lakshmi Narayan Jingyu Pang Yi Wu Huameng Fu Hong Li Upadrasta Ramamurty Haifeng Zhang 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 2023年第9期210-220,共11页
Developing bulk metallic glass composites(BMGCs)with high toughness is vital for their practical application.However,the influence of different microstructures on the impact toughness of BMGCs is still unclear.The eff... Developing bulk metallic glass composites(BMGCs)with high toughness is vital for their practical application.However,the influence of different microstructures on the impact toughness of BMGCs is still unclear.The effects of Al addition and cryogenic cyclic treatment(CCT)on the Charpy impact toughness,a K,at 298 and 77 K of a series of phase-transformable BMGCs are investigated in this work.It is found that deformation-induced martensitic transformation(DIMT)of theβ-Ti dendrites is the dominant toughening mechanism in the phase-transformable BMGCs at 298 K,but at 77 K,the toughness of BMGCs is primarily determined by the intrinsic toughness of the glass matrix.The addition of Al can moderately tune theβ-Ti phase stability,which then affects the amount of DIMT and impact toughness of the BMGCs at 298 K.However,at 77 K,Al addition causes a monotonic decrease in the toughness of the BMGCs due to the embrittlement of the glass matrix.It is found that CCT can effectively rejuvenate the phase-transformable BMGCs,which results in an enhanced impact toughness at 298 K.However,the toughness at 77 K monotonously decreases with increasing the number of CCT cycles,suggesting that the rejuvenation of the glass matrix affects the toughness at both 298 and 77 K of BMGCs,but in dramatically different ways.These findings reveal the influence of microstructures and CCT on the impact toughness of BMGCs and provide insights that could be useful for designing tougher BMGs and BMGCs. 展开更多
关键词 Bulk metallic glass composites Charpy impact toughness Deformation-induced martensitic transformation METASTABILITY Thermal cycling rejuvenation
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Optimization of body configuration and joint-driven attitude stabilization for transformable spacecraft under solar radiation pressure
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作者 Yuki Kubo Toshihiro Chujo 《Astrodynamics》 EI CSCD 2024年第1期47-60,共14页
The solar sail is one of the most promising space exploration systems due to its theoretically infinite specific impulse achieved through solar radiation pressure(SRP).Recently,researchers have proposed“transformable... The solar sail is one of the most promising space exploration systems due to its theoretically infinite specific impulse achieved through solar radiation pressure(SRP).Recently,researchers have proposed“transformable spacecraft”capable of actively reconfiguring their body configurations using actuatable joints.Transformable spacecraft,if used similarly to solar sails,are expected to significantly enhance orbit and attitude control capabilities owing to their high redundancy in control degrees of freedom.However,controlling them becomes challenging due to their large number of inputs,leading previous researchers to impose strong constraints to limit their potential control capabilities.This study focuses on novel attitude control techniques for transformable spacecraft under SRP.We developed two methods,namely,joint angle optimization to obtain arbitrary SRP force and torque,and momentum damping control driven by joint angle actuation.Our proposed methods are formulated in a general manner and can be applied to any transformable spacecraft comprising front faces that can predominantly receive the SRP on each body.The validity of our proposed method is confirmed through numerical simulations.Our study contributes to making most of the high control redundancy of transformable spacecraft without the need for expendable propellants,thus significantly enhancing the orbit and attitude control capabilities. 展开更多
关键词 solar sail transformable spacecraft attitude-joint coupled motion attitudestabilization
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基于Transformer的时间序列预测方法综述 被引量:4
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作者 陈嘉俊 刘波 +2 位作者 林伟伟 郑剑文 谢家晨 《计算机科学》 北大核心 2025年第6期96-105,共10页
时间序列预测作为分析历史数据以预测未来趋势的关键技术,已广泛应用于金融、气象等领域。然而,传统方法如自回归移动平均模型和指数平滑法等在处理非线性模式、捕捉长期依赖性时存在局限。最近,基于Transformer的方法因其自注意力机制... 时间序列预测作为分析历史数据以预测未来趋势的关键技术,已广泛应用于金融、气象等领域。然而,传统方法如自回归移动平均模型和指数平滑法等在处理非线性模式、捕捉长期依赖性时存在局限。最近,基于Transformer的方法因其自注意力机制,在自然语言处理与计算机视觉领域取得突破,也开始拓展至时间序列预测领域并取得显著成果。因此,探究如何将Transformer高效运用于时间序列预测,成为推动该领域发展的关键。首先,介绍了时间序列的特性,阐述了时间序列预测的常见任务类别及评估指标。接着,深入解析Transformer的基本架构,并挑选了近年来在时间序列预测中广受关注的Transfo-rmer衍生模型,从模块及架构层面进行分类,并分别从问题解决、创新点及局限性3个维度进行比较和分析。最后,进一步探讨了时间序列预测Transformer在未来可能的研究方向。 展开更多
关键词 时间序列 Transformer模型 深度学习 注意力机制 预测
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A morphologically transformable hypoxia-induced radical anion for tumor-specific photothermal therapy
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作者 Hongyu Wang Dengyuan Hao +2 位作者 Qihang Wu Tingting Sun Zhigang Xie 《Acta Pharmaceutica Sinica B》 SCIE CAS CSCD 2024年第12期5407-5417,共11页
Tumor microenvironment activatable therapeutic agents and their effective tumor accumula-tion are significant for selective tumor treatment.Herein,we provide an unadulterated nanomaterial combining the above advantage... Tumor microenvironment activatable therapeutic agents and their effective tumor accumula-tion are significant for selective tumor treatment.Herein,we provide an unadulterated nanomaterial combining the above advantages.We synthesize a perylene diimide(PDI)molecule substituted by glu-tamic acid(Glu),which can self-assemble into small spherical nanoparticles(PDI-SG)in aqueous solu-tion.PDI-SG can not only be transformed into nanofibers at low pH conditions but also be reduced to PDI radical anion(PDI^(·-)),which exhibits strong near-infrared absorption and excellent photothermal perfor-mance.More importantly,PDI-SG can also be reduced to PDI^(·-)in hypoxic tumors to ablate the tumors and minimize the damage to normal tissues.The morphological transformation from small nanoparticles to nanofibers makes for better tumor accumulation and retention.This work sheds light on the design of tumor microenvironment activatable therapeutics with precise structures for high-performance tumor therapy. 展开更多
关键词 Perylene diimide Morphological transformation Radical anion HYPOXIA TUMOR-SPECIFIC Photothermal therapy NANOFIBER Amino acid
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Bioresponsive and transformable coacervate actuated by intestinal peristalsis for targeted treatment of intestinal bleeding and inflammation
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作者 Yuqi Peng Xiaofen Luo +6 位作者 Xinyu Wang c Enling Hu Ruiqi Xie Fei Lu Weiwei Ding Fangyin Dai Guangqian Lan 《Bioactive Materials》 SCIE CSCD 2024年第11期627-639,共13页
Developing an oral in situ-forming hydrogel that targets the inflamed intestine to suppress bleeding ulcers and alleviate intestinal inflammation is crucial for effectively treating ulcerative colitis(UC).Here,inspire... Developing an oral in situ-forming hydrogel that targets the inflamed intestine to suppress bleeding ulcers and alleviate intestinal inflammation is crucial for effectively treating ulcerative colitis(UC).Here,inspired by sandcastle worm adhesives,we proposed a water-immiscible coacervate(EMNs-gel)with a programmed coacervate-to-hydrogel transition at inflammatory sites composed of dopa-rich silk fibroin matrix containing embedded inflammation-responsive core-shell nanoparticles.Driven by intestinal peristalsis,the EMNs-gel can be actuated forward and immediately transform into a hydrogel once contacting with the inflamed intestine to yield strong tissue adhesion,resulting from matrix metalloproteinases(MMPs)-triggered release of Fe3+from embedded nanoparticles and rearrangement of polymer network of EMNs-gel on inflamed intestine surfaces.Extensive in vitro experiments and in vivo UC models confirmed the preferential hydrogelation behavior of EMNs-gel to inflamed intestine surfaces,achieving highly effective hemostasis,and displaying an extended residence time(48 h).This innovative EMNs-gel provides a non-invasive solution that accurately suppresses severe bleeding and improves intestinal homeostasis in UC,showcasing great potential for clinical applications. 展开更多
关键词 Intestinal ulcer bleeding Bioadhesive coacervate Intestinal peristalsis drive Bioresponsive transformation Adhesive hydrogel
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基于Transformer模型的时序数据预测方法综述 被引量:13
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作者 孟祥福 石皓源 《计算机科学与探索》 北大核心 2025年第1期45-64,共20页
时序数据预测(TSF)是指通过分析历史数据的趋势性、季节性等潜在信息,预测未来时间点或时间段的数值和趋势。时序数据由传感器生成,在金融、医疗、能源、交通、气象等众多领域都发挥着重要作用。随着物联网传感器的发展,海量的时序数据... 时序数据预测(TSF)是指通过分析历史数据的趋势性、季节性等潜在信息,预测未来时间点或时间段的数值和趋势。时序数据由传感器生成,在金融、医疗、能源、交通、气象等众多领域都发挥着重要作用。随着物联网传感器的发展,海量的时序数据难以使用传统的机器学习解决,而Transformer在自然语言处理和计算机视觉等领域的诸多任务表现优秀,学者们利用Transformer模型有效捕获长期依赖关系,使得时序数据预测任务取得了飞速发展。综述了基于Transformer模型的时序数据预测方法,按时间梳理了时序数据预测的发展进程,系统介绍了时序数据预处理过程和方法,介绍了常用的时序预测评价指标和数据集。以算法框架为研究内容系统阐述了基于Transformer的各类模型在TSF任务中的应用方法和工作原理。通过实验对比了各个模型的性能、优点和局限性,并对实验结果展开了分析与讨论。结合Transformer模型在时序数据预测任务中现有工作存在的挑战提出了该方向未来发展趋势。 展开更多
关键词 深度学习 时序数据预测 数据预处理 Transformer模型
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多变量时序标记Transformer及其在电潜泵故障诊断中的应用 被引量:2
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作者 李康 李爽 +2 位作者 高小永 李强 张来斌 《控制与决策》 北大核心 2025年第4期1145-1153,共9页
电潜泵故障诊断对于确保安全可靠采油至关重要,但是,电潜泵数据呈现出的多变量、非线性和动态变化等复杂特性为该任务带来了严峻挑战.近年来,深度学习在复杂数据特征提取方面表现出的强大能力催生了一系列基于神经网络的电潜泵故障诊断... 电潜泵故障诊断对于确保安全可靠采油至关重要,但是,电潜泵数据呈现出的多变量、非线性和动态变化等复杂特性为该任务带来了严峻挑战.近年来,深度学习在复杂数据特征提取方面表现出的强大能力催生了一系列基于神经网络的电潜泵故障诊断方法.然而,多数方法忽略了电潜泵数据的动态特性以及长时依赖特征提取困难的问题.针对上述问题,提出一种多变量时序标记Transformer神经网络来实现电潜泵故障诊断.该模型设计新的多变量时间序列标记策略,继承引入多头注意力机制和残差连接的传统Transformer神经网络编码器在长时依赖特征提取方面的优势,用前向神经网络替代传统Transformer神经网络解码器来简化模型复杂度.通过对油田现场故障数据分析,验证所提出方法的有效性.实验结果表明,所提出方法实现了10类电潜泵故障的精确诊断,相比于流行的深度学习方法诊断性能更优. 展开更多
关键词 电潜泵 Transformer神经网络 深度学习 特征提取 故障诊断 多变量时序标记
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基于改进去噪扩散概率模型的风电机组故障样本生成方法 被引量:2
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作者 孟昱煜 张沣琦 +2 位作者 火久元 常琛 陈峰 《振动与冲击》 北大核心 2025年第4期286-297,共12页
为解决风电机组故障诊断中故障样本不足而导致模型准确率不高的问题,将当下备受关注的数据增强方法-去噪扩散概率模型(denoising diffusion probability model,DDPM)引入到故障诊断领域以生成大量高质量的故障样本数据集。因此,结合Tran... 为解决风电机组故障诊断中故障样本不足而导致模型准确率不高的问题,将当下备受关注的数据增强方法-去噪扩散概率模型(denoising diffusion probability model,DDPM)引入到故障诊断领域以生成大量高质量的故障样本数据集。因此,结合Transformer网络,提出了一种DDPM-Transformer风电机组故障样本生成方法。首先,将用于计算机视觉图像生成领域的DDPM模型应用于风电机组故障诊断领域中,通过前向加噪过程将数据逐渐转化为噪声,再通过逆向去噪过程将噪声逐步恢复为原始数据,实现从噪声中生成故障数据,解决数据不平衡问题;其次,通过对原始DDPM中使用的U-net模块进行改进,使用Transformer模型替换U-net网络,利用扩散后的数据和添加的噪声训练Transformer模型,实现噪声预测,以提高故障数据的生成质量;最后,使用多种生成模型评价指标对生成的故障数据进行评价,在监督控制和数据采集系统(supervisory control and data acquisition,SCADA)故障数据生成中论证改进DDPM-Transformer模型的性能。通过试验证明,所提DDPM-Transformer模型与现有的生成模型相比,最大均值异(maximum mean discrepancy,MMD)最大提升0.13,峰值信噪比(peak signal to noise ratio,PSNR)最大提升7.8。所提模型可以有效地生成质量更高的风电机组故障样本,从而基于该样本集辅助训练基于深度学习的故障诊断模型,可以使诊断模型具有更高精度和良好的稳定性。 展开更多
关键词 DDPM TRANSFORMER 风电机组 故障诊断 样本生成
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医疗领域的大型语言模型综述 被引量:1
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作者 肖建力 许东舟 +4 位作者 王浩 刘敏 周雷 朱林 顾松 《智能系统学报》 北大核心 2025年第3期530-547,共18页
深度学习是人工智能领域的热门研究方向之一,它通过构建多层人工神经网络模仿人脑对数据的处理机制。大型语言模型(large language model,LLM)基于深度学习的架构,在无需编程指令的情况下,能通过分析大量数据以获得理解和生成人类语言... 深度学习是人工智能领域的热门研究方向之一,它通过构建多层人工神经网络模仿人脑对数据的处理机制。大型语言模型(large language model,LLM)基于深度学习的架构,在无需编程指令的情况下,能通过分析大量数据以获得理解和生成人类语言的能力,被广泛应用于自然语言处理、计算机视觉、智慧医疗、智慧交通等诸多领域。文章总结了LLM在医疗领域的应用,涵盖了LLM针对医疗任务的基本训练流程、特殊策略以及在具体医疗场景中的应用。同时,进一步讨论了LLM在应用中面临的挑战,包括决策过程缺乏透明度、输出准确性以及隐私、伦理问题等,随后列举了相应的改进策略。最后,文章展望了LLM在医疗领域的未来发展趋势,及其对人类健康事业发展的潜在影响。 展开更多
关键词 人工智能 深度学习 TRANSFORMER 大型语言模型 智慧医疗 数据分析 图像处理 计算机视觉
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基于CBAM-TransUNet的地震断层识别方法 被引量:1
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作者 王新 张薇 +2 位作者 陈同俊 张傲 赵砀 《煤炭学报》 北大核心 2025年第2期1192-1202,共11页
断层的检测和识别在煤炭勘探开采过程中至关重要,传统的人工解释断层方法已经无法满足实际生产的需求,基于深度学习的地震断层解释方法在断层分割领域表现较为出色。常规卷积神经网络(CNN)感受野有限,不能很好地利用全局信息,会导致一... 断层的检测和识别在煤炭勘探开采过程中至关重要,传统的人工解释断层方法已经无法满足实际生产的需求,基于深度学习的地震断层解释方法在断层分割领域表现较为出色。常规卷积神经网络(CNN)感受野有限,不能很好地利用全局信息,会导致一些预测的断层存在连续性不足和断层缺失等问题。Transformer具有提取全局信息的优势,引入CNN和Transformer融合的TransUNet网络,构建一种基于CBAM-TransUNet的地震断层识别方法对二维地震断层图像进行识别。首先,将CBAM-Block注意力模块融入TransUNet网络,将该模块分别加入CNN断层编码器部分和连接断层编码器与断层解码器的3层跳跃连接部分,同时从通道和空间2个维度增强地震断层图像的识别能力;其次,选择Dice损失函数和交叉熵损失函数联合优化的损失函数,使得断层图像分割更为准确,CBAM-TransUNet断层识别网络在合成地震数据集上获得的DICE值和IOU值分别提高到0.84和0.75,试验结果表明断层识别的连续性更强,明显优于其他经典分割方法;最后,利用构建的模型对荷兰近海北海F3区块真实地震数据集进行了断层解释。试验结果表明:基于CBAM-TransUNet的地震断层识别方法在去除冗余断层信息的同时能够有效识别出断层,在断层识别准确度和断层识别连续性方面表现优异,识别出的断层细节更加丰富,提高了断层识别的精度,可以有效应用于实际地震数据中识别断层。 展开更多
关键词 地震图像 断层识别 机器学习 注意力机制 TRANSFORMER
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DPRT-YOLO:智能网联汽车复杂驾驶环境实时目标检测器 被引量:1
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作者 董一兵 曾辉 +2 位作者 李建科 侯少杰 石磊 《计算机工程与应用》 北大核心 2025年第14期148-162,共15页
目标检测是智能网联汽车视觉感知系统的一项基本任务,可为先进驾驶辅助系统提供基础数据和决策依据。然而,在低光照和恶劣天气等复杂环境中,车载目标检测算法面临小目标检测性能不佳、漏检率和误检率偏高的挑战。针对这一挑战,发展了一... 目标检测是智能网联汽车视觉感知系统的一项基本任务,可为先进驾驶辅助系统提供基础数据和决策依据。然而,在低光照和恶劣天气等复杂环境中,车载目标检测算法面临小目标检测性能不佳、漏检率和误检率偏高的挑战。针对这一挑战,发展了一种面向智能网联汽车的实时目标检测器(DPRT-YOLO),通过对流行的YOLOv10模型进行改造,使其更加适用于复杂驾驶环境中的目标检测任务,并通过在NVIDIA边缘计算平台上开展消融和对比实验,验证了算法的有效性。设计了增强加权多分支特征融合网络(EWMFFN),引入浅层加权融合和多分支加权融合模块,消除特征融合过程中的层间干扰,设计星形拓扑特征交互结构,提升模型对小尺度目标的检测能力,同时保持了网络结构的轻量化设计。融合卷积门控线性单元(convolutional gated linear units,CGLU)与卷积加法自注意力(convolutional additive token mixer,CATM),通过局部-全局双通路机制建立小目标尺度信息的长期上下文关系并保持模型的轻量化。为了评估模型在真实算力场景中的检测性能,将其部署在NVIDIA Jetson Xavier Nx平台上,采用NVIDIA TensorRT FP16量化加速,在BDD100K和TT100K测试集上开展推理实验,并与基准模型进行对比,结果显示:(1)检测精度方面,与YOLOv10n和YOLO11n相比,改进模型的mAP@0.5指标分别提升了6.1和7.4个百分点,mAP@0.5:0.95指标分别提升了3.6和4.2个百分点,同时,参数量分别降低了26.1%和34.9%。(2)检测速度方面,改进模型Small和Nano两种版本的推理速度分别达到了29 FPS和35 FPS。实验结果表明:与参考模型相比,改进算法在复杂驾驶环境中的表现更加优异,在检测精度与检测速度之间达到了更好的平衡,适于部署在智能网联汽车的环境感知系统中。 展开更多
关键词 实时目标检测 复杂驾驶环境 DPRT-YOLO 多尺度特征融合 TRANSFORMER
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基于改进Transformer结构的电力绝缘子运动模糊图像复原网络 被引量:1
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作者 李鹏 常乐 +2 位作者 覃发富 孟庆伟 陈继明 《电网技术》 北大核心 2025年第6期2623-2631,I0143-I0146,共13页
针对高压输电线路巡检航拍过程中产生的电力绝缘子图像运动模糊的失真情形,影响后续绝缘子定位及缺陷检测的问题,提出了一种基于改进Transformer结构的电力绝缘子图像运动模糊复原方法。为了适应电力绝缘子航拍图像中全局与局部模糊的... 针对高压输电线路巡检航拍过程中产生的电力绝缘子图像运动模糊的失真情形,影响后续绝缘子定位及缺陷检测的问题,提出了一种基于改进Transformer结构的电力绝缘子图像运动模糊复原方法。为了适应电力绝缘子航拍图像中全局与局部模糊的复原需求,在Transformer网络结构上引入条带注意力模块,结合卷积神经网络,在减小内存空间需求和不依赖大量训练数据的同时实现高效的模糊绝缘子图像复原;同时,在网络目标函数中引入对比学习损失,充分地挖掘和利用清晰与模糊电力绝缘子图像的关联信息。构建运动模糊绝缘子图像数据集进行图像复原与缺陷检测实验,结果表明,该文的运动模糊绝缘子图像复原方法在峰值信噪比(peak signal-to-noise ratio,PSNR)和结构相似度(structure similarity index measure,SSIM)这两个指标上均高于Deblur GAN-v2、MIMO-UNet等主流算法,使用目标检测算法YOLOv5和YOLOv7对去模糊前后的绝缘子进行定位与自爆缺陷检测后显示该文方法在提升高压输电线路巡检任务中绝缘子定位与缺陷检测的准确率上具有实际应用意义。 展开更多
关键词 运动模糊图像复原 TRANSFORMER 对比学习 绝缘子及缺陷检测
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融合梯度预测和无参注意力的高效地震去噪Transformer 被引量:1
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作者 高磊 乔昊炜 +2 位作者 梁东升 闵帆 杨梅 《计算机科学与探索》 北大核心 2025年第5期1342-1352,共11页
压制随机噪声能够有效提升地震数据的信噪比(SNR)。近年来,基于卷积神经网络(CNN)的深度学习方法在地震数据去噪领域展现出显著性能。然而,CNN中的卷积操作由于感受野的限制通常只能捕获局部信息而不能建立全局信息的长距离连接,可能会... 压制随机噪声能够有效提升地震数据的信噪比(SNR)。近年来,基于卷积神经网络(CNN)的深度学习方法在地震数据去噪领域展现出显著性能。然而,CNN中的卷积操作由于感受野的限制通常只能捕获局部信息而不能建立全局信息的长距离连接,可能会导致细节信息的丢失。针对地震数据去噪问题,提出了一种融合梯度预测和无参注意力的高效Transformer模型(ETGP)。引入多头“转置”注意力来代替传统的多头注意力,它能在通道间计算注意力来表示全局信息,缓解了传统多头注意力复杂度过高的问题。提出了无参注意力前馈神经网络,它能同时考虑空间和通道维度计算注意力权重,而不向网络增加参数。设计了梯度预测网络以提取边缘信息,并将信息自适应地添加到并行Transformer的输入中,从而获得高质量的地震数据。在合成数据和野外数据上进行了实验,并与经典和先进的去噪方法进行了比较。结果表明,ETGP去噪方法不仅能更有效地压制随机噪声,并且在弱信号保留和同相轴连续性方面具有显著优势。 展开更多
关键词 地震数据去噪 卷积神经网络 TRANSFORMER 注意力模块 梯度融合
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