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基于音视频信息融合与Self-Attention-DSC-CNN6网络的鲈鱼摄食强度分类方法 被引量:1
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作者 李道亮 李万超 杜壮壮 《农业机械学报》 北大核心 2025年第1期16-24,共9页
摄食强度识别分类是实现水产养殖精准投喂的重要环节。现有的投喂方式存在过度依赖人工经验判断、投喂量不精确、饲料浪费严重等问题。基于多模态融合的鱼类摄食程度分类能够综合不同类型的数据(如:视频、声音和水质参数),为鱼群的投喂... 摄食强度识别分类是实现水产养殖精准投喂的重要环节。现有的投喂方式存在过度依赖人工经验判断、投喂量不精确、饲料浪费严重等问题。基于多模态融合的鱼类摄食程度分类能够综合不同类型的数据(如:视频、声音和水质参数),为鱼群的投喂提供更加全面精准的决策依据。因此,提出了一种融合视频和音频数据的多模态融合框架,旨在提升鲈鱼摄食强度分类性能。将预处理后的Mel频谱图(Mel Spectrogram)和视频帧图像分别输入到Self-Attention-DSC-CNN6(Self-attention-depthwise separable convolution-CNN6)优化模型进行高层次的特征提取,并将提取的特征进一步拼接融合,最后将拼接后的特征经分类器分类。针对Self-Attention-DSC-CNN6优化模型,基于CNN6算法进行了改进,将传统卷积层替换为深度可分离卷积(Depthwise separable convolution,DSC)来达到减少计算复杂度的效果,并引入Self-Attention注意力机制以增强特征提取能力。实验结果显示,本文所提出的多模态融合框架鲈鱼摄食强度分类准确率达到90.24%,模型可以有效利用不同数据源信息,提升了对复杂环境中鱼群行为的理解,增强了模型决策能力,确保了投喂策略的及时性与准确性,从而有效减少了饲料浪费。 展开更多
关键词 鲈鱼 摄食强度分类 多模态融合 self-Attention-DSC-CNN6
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基于TV正则化约束的Self2Self地震数据插值去噪一体化方法
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作者 张蕴 杨锴 王本锋 《地球物理学报》 北大核心 2025年第9期3575-3587,共13页
实际采集的地震数据不可避免地受到随机噪声的干扰,并常常伴随着数据缺失,严重降低了地震数据的信噪比与横向连续性,继而降低后续地震数据处理及反演的精度.本文基于Self2Self无监督学习框架,针对含噪非规则地震数据,设计无监督地震数... 实际采集的地震数据不可避免地受到随机噪声的干扰,并常常伴随着数据缺失,严重降低了地震数据的信噪比与横向连续性,继而降低后续地震数据处理及反演的精度.本文基于Self2Self无监督学习框架,针对含噪非规则地震数据,设计无监督地震数据插值去噪一体化方法,并基于地震道之间的相关性优化数据采样策略,对含噪的非规则地震数据进行整道伯努利采样,构建训练数据集;为降低随机噪声对插值重建的负面影响,在损失函数中引入全变分正则化项,确保恢复地震信号具有良好的横向连续性.针对异常噪声干扰,探讨了异常噪声识别-剔除策略,结合插值去噪一体化方法可以有效提高地震数据质量.不同数值算例验证了无监督Self2Self方法在地震数据插值重建及噪声衰减中的有效性,为后续地震数据处理和解释提供良好的数据支撑. 展开更多
关键词 随机噪声衰减 数据重建 无监督学习 self2self方法 TV正则化
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基于Self-Attention和TextCNN-BiLSTM的中文评论文本情感分析模型 被引量:3
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作者 龙宇 李秋生 《石河子大学学报(自然科学版)》 北大核心 2025年第1期111-121,共11页
目前关于中文评论文本的情感分类方法大都无法充分捕捉到句子的全局语义信息,同时也在长距离的语义连接或者情感转折理解上具有局限性,因而导致情感分析的准确度不高。针对这个问题,本文提出一种融合SelfAttention和TextCNN-BiLSTM的文... 目前关于中文评论文本的情感分类方法大都无法充分捕捉到句子的全局语义信息,同时也在长距离的语义连接或者情感转折理解上具有局限性,因而导致情感分析的准确度不高。针对这个问题,本文提出一种融合SelfAttention和TextCNN-BiLSTM的文本情感分析方法。该方法首先采用文本卷积神经网络(TextCNN)来提取局部特征,并利用双向长短期记忆网络(BiLSTM)来捕捉序列信息,从而综合考虑了全局和局部信息,在特征融合阶段,再采用自注意力机制来动态地融合不同层次的特征表示,对不同尺度特征进行加权,从而提高重要特征的响应。实验结果表明,所提出的模型在家电商品中文评论语料和谭松波酒店评论语料数据集上的准确率分别达到93.79%和90.05%,相较于基准模型分别提高0.69%~3.59%和4.44%~11.70%,优于传统的基于卷积神经网络(Convolutional Neural Networks, CNN)、BiLSTM或CNN-BiLSTM等的情感分析模型。 展开更多
关键词 自注意力机制 中文评论文本 深度学习 情感分析
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基于VMD-Self-attention-LSTM的水闸深基坑变形智能预测方法 被引量:2
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作者 张伟 仇建春 +5 位作者 夏国春 姚兆仁 吴昊 刘占午 王昱锦 朱新宇 《水电能源科学》 北大核心 2025年第1期99-102,196,共5页
针对水闸深基坑变形监测数据具有非稳定性的特点,提出了基于VMD-Self-attention-LSTM的水闸深基坑变形预测方法。该方法分为三个主要模块,第一模块采用VMD算法自适应调整变形分解模数,将原始变形数据分解为若干具有明显周期规律的分量,... 针对水闸深基坑变形监测数据具有非稳定性的特点,提出了基于VMD-Self-attention-LSTM的水闸深基坑变形预测方法。该方法分为三个主要模块,第一模块采用VMD算法自适应调整变形分解模数,将原始变形数据分解为若干具有明显周期规律的分量,有效解决变形数据的非稳定性,为提升变形预测精度奠定初步基础;第二模块,在传统LSTM算法基础上进一步发展Self-attention-LSTM方法,提升模型对基坑变形样本的时序关系挖掘能力,进而提升基坑变形预测精度;第三模块,将各分量对应的变形预测结果重构得到最终预测值。实例分析可知,所提方法有效解决了非稳定特性给变形预测精度带来的不利影响,与VMD-LSTM、Self-attention-LSTM、LSTM等深度学习方法相比,VMD-Self-attention-LSTM的预测精度最大提升41.49%,与BP、ELM等传统机器学习算法相比,预测精度最大提升50.43%,为水闸深基坑安全监控模型的构建提供了新思路。 展开更多
关键词 水闸深基坑 变形预测 VMD self-attention-LSTM
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Self肽与Tat肽协同修饰阿霉素脂质体的制备及其抗肿瘤作用
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作者 段学辉 刘含笑 +4 位作者 李旭 任甜莹 杜燕 楚新垒 唐宜轩 《广东药科大学学报》 2025年第4期23-31,共9页
目的采用CD47蛋白衍生的Self肽提高Tat肽修饰脂质体的免疫生物相容性和内皮细胞渗透性,以提升其包载阿霉素后的抗肿瘤疗效。方法通过薄膜水化法制备常规脂质体(Lip)、Self肽修饰脂质体(S-Lip)、Tat修饰脂质体(T-Lip)及双肽共修饰脂质体(... 目的采用CD47蛋白衍生的Self肽提高Tat肽修饰脂质体的免疫生物相容性和内皮细胞渗透性,以提升其包载阿霉素后的抗肿瘤疗效。方法通过薄膜水化法制备常规脂质体(Lip)、Self肽修饰脂质体(S-Lip)、Tat修饰脂质体(T-Lip)及双肽共修饰脂质体(ST-Lip),并通过主动载药法包载阿霉素。采用透射电镜和动态光散射表征形貌与粒径并测定包封率。通过荧光显微成像评估巨噬细胞体外摄取,利用流式细胞术分析脂质体与脾脏免疫细胞的相互作用,并进一步考察脂质体与内皮细胞的相互作用及体内抗肿瘤疗效。结果多肽修饰未显著改变脂质体形貌与粒径,各组药物包封率均>80%。ST-Lip相较T-Lip显著抑制巨噬细胞内吞(P<0.01),体内免疫识别结果显示ST-Lip组脾脏巨噬细胞和B细胞的脂质体阳性比例相比T-Lip分别降低了约16.7%及39.0%。此外,Self肽与Tat肽产生协同效应,使内皮细胞摄取量相比Lip提高1.77倍,对荷瘤小鼠抑瘤率达87%。结论CD47衍生Self肽可协同增强Tat修饰脂质体的免疫相容性及内皮细胞渗透能力,为肿瘤靶向递送系统开发提供新策略。 展开更多
关键词 脂质体 细胞穿膜肽 Tat肽 self 阿霉素
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An Inquiry Into the Effect of Peers on L2 Motivation Under the L2 Motivational Self System
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作者 Xiaoyu Zhang 《Chinese Journal of Applied Linguistics》 2025年第2期207-227,320,321,共23页
Second language(L2)motivation has been a topic which receives intensive attention.However,the peer effect on L2 motivation is insufficiently researched,although it is considered a crucial factor which may significantl... Second language(L2)motivation has been a topic which receives intensive attention.However,the peer effect on L2 motivation is insufficiently researched,although it is considered a crucial factor which may significantly mediate learners’L2 motivation.Hence,the current study adopted Dörnyei’s L2 Motivational Self System(L2MSS)as a theoretical framework and investigated in which specific aspects peers might affect the learners’L2 motivation and whether such effect was long-lasting.The research was designed as a small-scale qualitative study which was located in a language-focused experimental class project in China.Ten participants were recruited and individual interviews were conducted.The results demonstrated that,first,peers could remarkably influence the L2 motivation possessed by the students in the experimental class since they tended to create a clearer ideal L2 self and a more powerful ought-to L2 self.Second,although they had both positive and negative views towards the curriculum,a motivated peer climate could alleviate the pressure caused by the curriculum and reinforce positive attitudes.Third,such peer effect was not long-lasting.Based on the research results,pedagogical implications were proposed in terms of establishing a positive peer group and adjusting the emphasis of the curriculum. 展开更多
关键词 peer effect L2 motivation ideal L2 self ought-to L2 self curriculum
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Coexistence of a Cross-Diffusive West Nile Virus Model with Variable Coefficients
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作者 YAN Chun-yue ZHU Min XU Yong 《安徽师范大学学报(自然科学版)》 2025年第4期301-315,共15页
In order to understand the transmission mechanism of West Nile virus(WNv)in birds(especially crows)and mosquitoes populations,this paper extends the traditional ordinary differential model of WNv to a reaction-diffusi... In order to understand the transmission mechanism of West Nile virus(WNv)in birds(especially crows)and mosquitoes populations,this paper extends the traditional ordinary differential model of WNv to a reaction-diffusion system with more complex cross-diffusion.We explore the relationship between the basic reproduction number and cross-diffusion coefficients involving various parameters,and investigate the effect of vertical transmission of the virus on the transmission mechanism.We use the method of upper and lower solutions to investigate the existence of the coexistence solutions.The theoretical analysis and numerical simulation show that the WNv carried by birds and mosquitoes will coexist when the low-risk threshold R0*≥1,which is a disadvantage to the prevention and control of this virus,and disappear when the high-risk threshold R*0≤1,which is an advantage to that. 展开更多
关键词 West Nile virus heterogeneous environment cross-diffusion coexistence solution
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Taking Care of Yourself
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作者 Ruth Devlin 《空中英语教室(初级版.大家说英语)》 2025年第6期21-23,52,共4页
Everyone is busy.But it's easy to be too busy.Then you may feel anxious or stressed.You need to take care of yourself.How can you do that?First,make time to text or call your family and friends.They care about you... Everyone is busy.But it's easy to be too busy.Then you may feel anxious or stressed.You need to take care of yourself.How can you do that?First,make time to text or call your family and friends.They care about you and can support you.Get regular exercise. 展开更多
关键词 FRIENDS EXERCISE stress FAMILY self care ANXIETY
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Combustion Characteristics and Self-Extinguishing Mechanism of Novel Self-Extinguishing Fluorinated Silicone Insulating Oil
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作者 Ao Zhan Fanchao Ye +2 位作者 Shuangshuang Tian Guozhi Zhang Xiaoxing Zhang 《High Voltage》 2025年第5期1144-1153,共10页
Traditional mineral oil has long served as a liquid insulating medium in power transformers.However,its low fire resistance,poor biodegradability and dependence on finite fossil fuel resources,along with its low flash... Traditional mineral oil has long served as a liquid insulating medium in power transformers.However,its low fire resistance,poor biodegradability and dependence on finite fossil fuel resources,along with its low flash point,contribute to transformer explosions and fires.To overcome these limitations,developing insulating liquids with high flash points and self-extinguishing properties is essential.Although natural ester-based insulating oils and silicone oils have been proposed as alternatives,their performance requires further optimisation,and their application in transformers remains challenging.This study examines the combustion characteristics of three novel self-extinguishing fluorinated silicone oils using combustion experiments and reactive molecular dynamics simulations.The results demonstrate that methylfluorinated and hydrofluorinated silicone oils exhibit superior self-extinguishing performance compared to mineral oil and natural ester-based insulating oils.Simulation analyses indicate that fluorinated silicone oils generate silicon-oxygen polymers upon ignition,which influence subsequent chain reactions.However,hydroxyfluorinated silicone oil releases a higher concentration of key free radicals,intensifying chain reactions and diminishing its self-extinguishing capability.As a result,its self-extinguishing performance is significantly weaker than that of methylfluorinated and hydrofluorinated silicone oils.These findings provide valuable insights for the development of advanced liquid insulating media as potential replacements for mineral oil. 展开更多
关键词 mineral oil silicone oils novel self extinguishing fluorinated silicone insulating oil self extinguishing mechanism power transformershoweverits liquid insulating medium combustion characteristics insulating liquids
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Improve Yourself
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作者 康华婕 钟文爱(指导) 《中学生英语》 2025年第3期7-7,共1页
The meaning of growth is increasing experiences and self-improvement. No one’s life is always good, and many people have the power to change it but don’t take action. It’s better to change ourselves than to try to ... The meaning of growth is increasing experiences and self-improvement. No one’s life is always good, and many people have the power to change it but don’t take action. It’s better to change ourselves than to try to change the people and things around us.Self-improvement is very important. First, it helps us to become more confident. When we make progress, we will feel more confident. And this confidence will make us do more and do better. 展开更多
关键词 increasing experiences self improvement
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Fun at a Self-Photo Studio!
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作者 Ruth Devlin 《空中英语教室(初级版.大家说英语)》 2025年第6期46-47,56,共3页
Are you tred of regular selfies?Try a self-photo studio!The lights and camera are ready for you.At the studio,you can fix your hair.There are clothes and props.You can use those and take fun photos.Bring your friends ... Are you tred of regular selfies?Try a self-photo studio!The lights and camera are ready for you.At the studio,you can fix your hair.There are clothes and props.You can use those and take fun photos.Bring your friends with you.Then you can take photos together.Pose in silly ways and have fun!You can take the photos home and remember your good time. 展开更多
关键词 camera CLOTHES hair fixing selfies lights fun photos PROPS self photo studio
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Correction to Solvent-Resistant Wearable Triboelectric Nanogenerator for Energy-Harvesting and Self-Powered Sensors
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《Energy & Environmental Materials》 2025年第3期327-327,共1页
Yongtao Yu,Yuelin Yu et al.Solvent-Resistant Wearable Triboelectric Nanogenerator for Energy-Harvesting and Self-Powered Sensors.Energy Environ.Mater.2024,7,e12700.On page 4 of this article,the first paragraph of 2.4,... Yongtao Yu,Yuelin Yu et al.Solvent-Resistant Wearable Triboelectric Nanogenerator for Energy-Harvesting and Self-Powered Sensors.Energy Environ.Mater.2024,7,e12700.On page 4 of this article,the first paragraph of 2.4,line 14(PDF version,same below),there is a spelling mistake of“sui,”.It should be changed to“suitable”.The denominator“dt”in the Equation(3)should be changed to“dt”. 展开更多
关键词 WEARABLE self powered sensors triboelectric nanogenerator solvent resistant energy harvesting
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3D medical image segmentation using the serial-parallel convolutional neural network and transformer based on crosswindow self-attention
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作者 Bin Yu Quan Zhou +3 位作者 Li Yuan Huageng Liang Pavel Shcherbakov Xuming Zhang 《CAAI Transactions on Intelligence Technology》 2025年第2期337-348,共12页
Convolutional neural network(CNN)with the encoder-decoder structure is popular in medical image segmentation due to its excellent local feature extraction ability but it faces limitations in capturing the global featu... Convolutional neural network(CNN)with the encoder-decoder structure is popular in medical image segmentation due to its excellent local feature extraction ability but it faces limitations in capturing the global feature.The transformer can extract the global information well but adapting it to small medical datasets is challenging and its computational complexity can be heavy.In this work,a serial and parallel network is proposed for the accurate 3D medical image segmentation by combining CNN and transformer and promoting feature interactions across various semantic levels.The core components of the proposed method include the cross window self-attention based transformer(CWST)and multi-scale local enhanced(MLE)modules.The CWST module enhances the global context understanding by partitioning 3D images into non-overlapping windows and calculating sparse global attention between windows.The MLE module selectively fuses features by computing the voxel attention between different branch features,and uses convolution to strengthen the dense local information.The experiments on the prostate,atrium,and pancreas MR/CT image datasets consistently demonstrate the advantage of the proposed method over six popular segmentation models in both qualitative evaluation and quantitative indexes such as dice similarity coefficient,Intersection over Union,95%Hausdorff distance and average symmetric surface distance. 展开更多
关键词 convolution neural network cross window self‐attention medical image segmentation transformer
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High‐Entropy Energy for Self‐Powered Systems
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作者 Fangjing Xing Xiaobo Gao +4 位作者 Wei Gao Yanshuo Sun Zilong Zhao Zhong Lin Wang Baodong Chen 《SmartSys》 2025年第2期19-35,共17页
In energy constrained application scenarios, self‐powered systems (SPSs) are gradually emerging as a core technological pathway for enabling distributed intelligent sensing. High‐entropy energy, such as micro‐wind,... In energy constrained application scenarios, self‐powered systems (SPSs) are gradually emerging as a core technological pathway for enabling distributed intelligent sensing. High‐entropy energy, such as micro‐wind, vibrations, water motion, and human activity, is widely available but difficult to harness due to its low density, randomness, and spatiotemporal fragmentation. Triboelectric nanogenerators (TENGs), with high efficiency to low‐frequency and irregular mechanical stimuli, offer a promising solution for efficient energy harvesting, driving the advancement of SPSs with high‐entropy distribution. This review outlines the basic concepts and recent developments of TENG‐driven SPSs, focusing on strategies for energy harvesting, power management, and system integration. It highlights structural optimization and performance enhancement under typical highentropy scenarios and analyzes key challenges in energy conversion, power regulation, and load management. Finally, the potential applications of TENG‐driven SPSs are discussed in emerging smart fields such as infrastructure monitoring, lowaltitude economy, mobile intelligent devices, and ocean sensing networks. 展开更多
关键词 distributed energy energy harvesting high‐entropy energy self‐powered system triboelectric nanogenerator
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Hydrochemical characterization of surface waters in Northern Tehran: Integrating cluster-based techniques with Self-Organizing Maps
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作者 Maryam SALIMI Hamid Reza NASSERY +2 位作者 Meysam VADIATI Prosun BHATTACHARYA Akram RAHBAR 《Journal of Mountain Science》 2025年第7期2370-2390,共21页
Water quality is a critical global issue,especially in urban and semi-urban regions where natural and anthropogenic factors significantly influence surface water systems.This study evaluates the hydrochemical characte... Water quality is a critical global issue,especially in urban and semi-urban regions where natural and anthropogenic factors significantly influence surface water systems.This study evaluates the hydrochemical characteristics of surface water in the North of Tehran Rivers(NTRs),an essential water resource in a rapidly urbanizing region,using advanced clustering techniques,including Hierarchical Clustering Analysis(HCA),Fuzzy CMeans(FCM),Genetic Algorithm Fuzzy C-Means(GAFCM),and Self-Organizing Map(SOM).The research aims to address the scientific challenge of understanding spatial and temporal variability in water quality,focusing on physicochemical parameters,hydrochemical facies,and contamination sources.Water samples from six rivers collected over four seasons in 2020 were analyzed and classified into distinct clusters based on their chemical composition,revealing significant seasonal and spatial differences.Results showed that FCM and GAFCM consistently categorized the NTRs into two clusters during winter and spring and three in summer and autumn.These findings were supported by HCA and SOM,which identified clusters corresponding to specific river segments and contamination levels.The primary hydrochemical processes identified were mineral dissolution and weathering,with calcite,dolomite,and aragonite significantly influencing water chemistry.Additionally,human activities,such as wastewater discharge,were shown to contribute to elevated sulfate,nitrate,and phosphate concentrations,further corroborated by microbial analyses.By integrating HCA,FCM,and GAFCM with an artificial neural network(ANN)-based clustering method(SOM),this study provides a robust framework for evaluating surface water quality.The findings,supported by Gibbs diagrams,Hounslow ion ratio,and saturation indices,highlight the dominance of rock weathering and human impacts in shaping the hydrochemical dynamics of the NTRs.These insights contribute to the scientific understanding of water quality dynamics and offer practical guidance for sustainable water resource management and environmental protection in developing urban areas. 展开更多
关键词 Hydrochemical characteristics Clustering techniques Contamination sources Tehran Rivers self Organizing Map Surface water quality
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A Self‐Powered,Shapeable,and Wearable Sensor for Effective Hazard Prevention and Biomechanical Monitoring
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作者 Huimin Wang Shuo Li +5 位作者 Yong Zhang Mingchao Zhang Haomin Wang Xiaoping Liang Haojie Lu Yingying Zhang 《SmartSys》 2025年第1期30-38,共9页
Flexible and wearable electronics are attracting surging attention due to their potential applications in human health monitoring and precision therapies.Safety hazards including strong magnetic field and electric lea... Flexible and wearable electronics are attracting surging attention due to their potential applications in human health monitoring and precision therapies.Safety hazards including strong magnetic field and electric leakage are big risk factors for human health.It remains challenging to develop self‐powered and wearable safety hazard sensors that could not only be able to monitor human motions but also have functions for detecting potential hazards.In this work,we fabricated a self‐powered,shapeable,and wearable magnetic triboelectric nanogenerator(MTENG)based on ferrofluid,Ecoflex,and carbonized silk fabric that possessed effective hazard prevention and biomechanical motion sensing ability.A peak open‐circuit voltage of 0.7 V and short‐circuit current of 10μA m^(−2)can be achieved when magnetic field is changed between 3.5 and 37.1 mT.As a component of triboelectric layer of the MTENG,ferrofluid can substantially extend the range of its sensing capabilities to many hazardous cues such as dangerous magnetic field.Furtherly,the developed multifunctional and self‐powered sensor can be used to monitor human activities such as drinking water and bending finger.This effort opens up a new design opportunity for hazard avoidance wearable electronics and self‐powered sensors. 展开更多
关键词 biomechanical monitoring hazard prevention magnetically induced triboelectric nanogenerator self‐powered wearable sensor
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Erratum to:Hydrochemical characterization of surface waters in Northen Tehran:Integrating cluster-based techniques with Self-Organizing Maps
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作者 Maryam SALIMI Hamid Reza NASSERY +2 位作者 Meysam VADIATI Prosun BHATTACHARYA Akram RAHBAR 《Journal of Mountain Science》 2025年第9期3527-3527,共1页
The title of the online version of the original article was revised.The title of the original article has been revised to:Hydrochemical characterization of surface waters in Northern Tehran:Integrating cluster-based t... The title of the online version of the original article was revised.The title of the original article has been revised to:Hydrochemical characterization of surface waters in Northern Tehran:Integrating cluster-based techniques with Self-Organizing Maps. 展开更多
关键词 northern tehran cluster based techniques characterization surface waters hydrochemical characterization surface waters self organizing maps
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Innovative self-healing conductive organogel:Pioneering the future of electronics
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作者 Salim Ullah Jianliang Shen Hong-Tao Xu 《Chinese Chemical Letters》 2025年第3期3-5,共3页
Self-healing hydrogels utilize inherent intermolecular forces to autonomously heal physical damage resulting from excessive strain,pressure,or tearing.Applying these materials in soft robotics and tissue engineering c... Self-healing hydrogels utilize inherent intermolecular forces to autonomously heal physical damage resulting from excessive strain,pressure,or tearing.Applying these materials in soft robotics and tissue engineering could be beneficial.On the other hand,their efficacy in stretchable and mechanically resistant circuits is hindered by their limited electrical conductivity. 展开更多
关键词 soft robotics conductive organogels electrical conductivity intermolecular forces HYDROGELS tissue engineering autonomously heal physical damage self healing
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U.S.TARIFF HAMMER FALLS:ASEAN NEEDS GREATER SELF-RELIANCE
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作者 Huang Jiangqin 《China Report ASEAN》 2025年第5期36-39,共4页
On April 2,U.S.President Trump slapped“reciprocal tariffs”on over 100 global trading partners,hitting nine ASEAN member states hard.Alarmingly,even the UN-designated Least Developed Countries(LDCs)were not spared.Th... On April 2,U.S.President Trump slapped“reciprocal tariffs”on over 100 global trading partners,hitting nine ASEAN member states hard.Alarmingly,even the UN-designated Least Developed Countries(LDCs)were not spared.These included Cambodia,where nearly 20 percent of the population lives below the poverty line,facing a 49 percent tariff;Laos,with a poverty rate near 20 percent,facing 48 percent;and Myanmar,which recently suffered a devastating earthquake,facing 44 percent. 展开更多
关键词 asean member states U S tariffs self reliance global trading partners trade tensions ASEAN poverty reciprocal taxes
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