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Effect of fluoride roasting on copper species transformation on chrysocolla surfaces and its role in enhanced sulfidation flotation
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作者 Yingqiang Ma Xin Huang +5 位作者 Yafeng Fu Zhenguo Song Sen Luo Shuanglin Zheng Feng Rao Wanzhong Yin 《International Journal of Minerals,Metallurgy and Materials》 2026年第1期165-176,共12页
It is difficult to recover chrysocolla from sulfidation flotation which is closely related to the mineral surface composition.In this study,the effects of fluoride roasting on the surface composition of chrysocolla we... It is difficult to recover chrysocolla from sulfidation flotation which is closely related to the mineral surface composition.In this study,the effects of fluoride roasting on the surface composition of chrysocolla were investigated,its impact on sulfidation flotation was explored,and the mechanisms involved in both fluoride roasting and sulfidation flotation were discussed.With CaF_(2)as the roasting reagent,Na_(2)S·9H_(2)O as the sulfidation reagent,and sodium butyl xanthate(NaBX)as the collector,the results of the flotation experiments showed that fluoride roasting improved the floatability of chrysocolla,and the recovery rate increased from 16.87%to 82.74%.X-ray diffraction analysis revealed that after fluoride roasting,approximately all the Cu on the chrysocolla surface was exposed in the form of CuO,which could provide a basis for subsequent sulfidation flotation.The microscopy and elemental analyses revealed that large quantities of"pagoda-like"grains were observed on the sulfidation surface of the fluoride-roasted chrysocolla,indicating high crystallinity particles of copper sulfide.This suggests that the effect of sulfide formation on the chrysocolla surface was more pronounced.X-ray photoelectron spectroscopy revealed that fluoride roasting increased the relative contents of sulfur and copper on the surface and that both the Cu~+and polysulfide fractions on the surface of the minerals increased.This enhances the effect of sulfidation,which is conducive to flotation recovery.Therefore,fluoride roasting improved the effect of copper species transformation and sulfidation on the surface of chysocolla,promoted the adsorption of collectors,and improved the recovery of chrysocolla from sulfidation flotation. 展开更多
关键词 sulfidation flotation CHRYSOCOLLA fluoride roasting copper species transformation enhanced sulfidation
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Tracking a High-Tech Transition--How technology is powering Guangdong’s manufacturing transformation
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作者 HU FAN 《ChinAfrica》 2026年第1期30-32,共3页
The moment a media delegation from the Republic of the Congo arrived at the Othello Kitchenware Museum on 18 November 2025,they were greeted with a vivid show of Guangdong’s industrial strength.Standing before them w... The moment a media delegation from the Republic of the Congo arrived at the Othello Kitchenware Museum on 18 November 2025,they were greeted with a vivid show of Guangdong’s industrial strength.Standing before them was not a typical exhibition hall,but a building shaped like a gleaming stainless-steel cooking pot. 展开更多
关键词 othello kitchenware museum TECHNOLOGY industrial strength high tech transition guangdong manufacturing transformation
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基于BSimilar优化PTransformer的光伏功率短期预测
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作者 张文广 蔡浩 +1 位作者 刘科 孙盼荣 《动力工程学报》 北大核心 2026年第1期77-84,102,共9页
为提高光伏功率短期预测的精度,提出了考虑光伏设备性能退化因素的相似日算法优化的分时段多通道独立光伏功率短期预测方法。首先,在PTransformer模型中用分时段与通道独立的方法来处理光伏输入数据,以降低空间复杂度及提高长时间数据... 为提高光伏功率短期预测的精度,提出了考虑光伏设备性能退化因素的相似日算法优化的分时段多通道独立光伏功率短期预测方法。首先,在PTransformer模型中用分时段与通道独立的方法来处理光伏输入数据,以降低空间复杂度及提高长时间数据序列的关注度。其次,运用Transformer的编码器模型,通过自身注意力机制捕捉光伏序列特征之间的依赖关系,进行光伏功率的短期预测。最后,运用夹角余弦距离计算相似度并考虑光伏设备性能退化因素确定相似日,利用其功率数据优化PTransformer模型,以改善功率数据的滞后性。结果表明:相比典型的光伏功率短期预测方法,所提方法训练速度更快,预测精准度更高,并且对复杂天气状况下的光伏功率也有较好的预测结果。 展开更多
关键词 光伏功率 短期预测 性能退化 贝叶斯分析 transformER 相似日
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融合群分解与Transformer-KAN的短期风速预测
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作者 史加荣 张思怡 《南京信息工程大学学报》 北大核心 2026年第1期60-68,共9页
针对风速固有的不稳定性,通过融合群分解(Swarm Decomposition,SWD)、Transformer和Kolmogorov-Arnold网络(KAN),提出一种SWD-Transformer-KAN预测模型.首先,利用SWD对原始风速数据进行分解,以提取关键特征.其次,针对每个被分解的子序列... 针对风速固有的不稳定性,通过融合群分解(Swarm Decomposition,SWD)、Transformer和Kolmogorov-Arnold网络(KAN),提出一种SWD-Transformer-KAN预测模型.首先,利用SWD对原始风速数据进行分解,以提取关键特征.其次,针对每个被分解的子序列,建立Transformer-KAN模型,所建模型充分利用了Transformer的时序处理能力和KAN的非线性逼近能力.最后,对所有子序列的预测结果进行叠加,得到最终的风速预测值.为了验证所提出模型的有效性,将其与其他模型进行实验对比,结果表明,SWD-Transformer-KAN模型具有最优的预测性能,其决定系数(R2)高达99.91%. 展开更多
关键词 风速预测 群分解 transformER Kolmogorov-Arnold网络
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基于Transformer模型堤坝渗漏入口精准识别方法研究
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作者 梁越 赵硕 +4 位作者 喻金桃 许彬 张斌 龚胜勇 舒云林 《岩土工程学报》 北大核心 2026年第1期187-195,共9页
渗漏是堤坝工程面临的主要安全隐患,渗漏入口精确识别与定位对降低堤坝风险至关重要。通过堤坝渗漏入口示踪剂分布及其运移特征模拟数据,训练学习Transformer模型以确定最优参数条件并分析该条件下该模型的预测效果,进一步通过室内模型... 渗漏是堤坝工程面临的主要安全隐患,渗漏入口精确识别与定位对降低堤坝风险至关重要。通过堤坝渗漏入口示踪剂分布及其运移特征模拟数据,训练学习Transformer模型以确定最优参数条件并分析该条件下该模型的预测效果,进一步通过室内模型试验验证该模型的可靠性。研究表明:①当迭代次数达600次时,模型预测的流速最大值相对误差最小,且最大流速值坐标与真实渗漏入口坐标最为接近,预测效果最佳;在此条件下,当数据采集时长为50 s时,模型预测的流速最大值相对偏差最小,预测效果最优。②在最佳迭代次数和数据采集时长条件下,模型预测精度超过95%,渗漏入口大小和渗漏流量的预测值与真实值差异极小,且流速和位置预测相对误差均较低,其中位置预测相对误差低于5%。③将电导率试验采集数据转换为示踪剂浓度并输入至该模型进行流速分布预测,可知该模型能准确定位渗漏入口位置,且流速和渗漏入口坐标的预测平均相对误差均低于10%,进而验证了该模型在渗漏入口定位中的有效性与准确性。相关研究成果可为堤坝渗漏入口精确识别奠定理论基础和提供技术支撑。 展开更多
关键词 堤坝 渗漏入口 transformer模型 精准识别 室内模型试验
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基于长短期记忆网络-Transformer模型参数优化的锂离子电池剩余使用寿命预测
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作者 高建树 郝世宇 党一诺 《汽车工程师》 2026年第1期32-39,共8页
为提高锂离子电池剩余使用寿命(RUL)预测的准确性,提出了一种基于长短期记忆(LSTM)网络-Transformer模型参数优化的RUL预测方法,采用网格搜索法选取模型的超参数,利用LSTM网络提取锂离子电池时间序列中的长短期依赖关系,使用Transforme... 为提高锂离子电池剩余使用寿命(RUL)预测的准确性,提出了一种基于长短期记忆(LSTM)网络-Transformer模型参数优化的RUL预测方法,采用网格搜索法选取模型的超参数,利用LSTM网络提取锂离子电池时间序列中的长短期依赖关系,使用Transformer的自注意力机制处理全局信息并对超参数进行优化,通过全连接层进行最终的寿命预测。基于美国国家航空航天局(NASA)数据集和先进生命周期工程中心(CALCE)数据集的试验验证结果表明,模型在更短的序列长度、更少的隐藏层数量和训练次数等条件下,在多种评价指标上均优于LSTM网络模型、Transformer模型及其他神经网络模型,具有更高的预测精度和鲁棒性。最后,通过不同电池的对比试验进一步验证了模型在不同电池数据上的泛化能力。 展开更多
关键词 锂离子电池 剩余使用寿命预测 参数优化 长短期记忆神经网络 transformER 混合模型
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基于Transformer-卷积神经网络模型实现单节点腰部康复训练动作识别任务
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作者 余圣涵 成贤锴 +1 位作者 郑跃 杨颖 《中国组织工程研究》 北大核心 2026年第16期4125-4136,共12页
背景:惯性测量单元被广泛用于人体姿态感知与动态捕捉。深度学习已逐步替代传统规则与特征工程,广泛应用于动作识别任务。卷积神经网络在提取局部动态特征方面表现良好,Transformer则在建模长时序依赖方面展现出强大能力。目的:通过基于... 背景:惯性测量单元被广泛用于人体姿态感知与动态捕捉。深度学习已逐步替代传统规则与特征工程,广泛应用于动作识别任务。卷积神经网络在提取局部动态特征方面表现良好,Transformer则在建模长时序依赖方面展现出强大能力。目的:通过基于Transformer-卷积神经网络融合模型识别方法,实现在单惯性传感器条件下的腰部康复训练动作识别任务。方法:采集6名健康受试者佩戴单个惯性传感器条件下执行腰部康复动作的加速度与角速度数据,以动作类型为数据进行标注,制作腰部康复动作数据集。通过腰部康复动作数据集对Transformer-卷积神经网络融合模型进行训练,构建动作分类模型。通过留一交叉验证评估模型准确性,并与线性判别分析、支持向量机、多层感知、经典Transformer等模型进行性能对比。结果与结论:在5类动作识别任务中,Transformer-卷积神经网络模型准确率达96.67%,F1-score为0.9669。在单传感器输入的条件下,相较于传统模型,在识别精度与泛化能力方面具有明显优势。验证了基于单惯性测量单元数据的深度模型在腰部康复动作分类任务中的实用性,为轻量化、高部署性的居家腰部康复训练系统提供基础。 展开更多
关键词 慢性腰痛 康复训练 深度学习 transformER 单节点惯性传感器 动作分类
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Construction of Vocational Education Quality Evaluation Index System from the Perspective of Digital Transformation Based on the Analytic Hierarchy Process of Higher Vocational Colleges in Hainan Province,China 被引量:2
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作者 Limei Fu 《Journal of Contemporary Educational Research》 2025年第1期282-289,共8页
In the context of the digital transformation of vocational education,a quality evaluation index system has been constructed.Based on a questionnaire survey conducted among higher vocational colleges and enterprises in... In the context of the digital transformation of vocational education,a quality evaluation index system has been constructed.Based on a questionnaire survey conducted among higher vocational colleges and enterprises in Hainan Province,it has been found that the quality of vocational education generally depends on the talent training program and professional construction at the macro level.At the meso level,the teacher level and teaching environment are critical,while at the micro level,the evaluation of talent training quality cannot be underestimated.Strategies for quality improvement in vocational education are proposed from the perspectives of talent training programs,major construction,teacher development,teaching environment,and talent training quality,all under the lens of digital transformation. 展开更多
关键词 Digital transformation Vocational education Evaluation index system
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Interaction between dynamic recrystallization and phase transformation of Ti-43Al-4Nb-1Mo-0.2B alloy during hot deformation 被引量:2
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作者 Xiaofei Chen Bin Tang +5 位作者 Beibei Wei Wenxin Xu Biao Ma Jinhua Dai Guoming Zheng Jinshan Li 《Journal of Materials Science & Technology》 2025年第11期130-142,共13页
Theβsolidifiedγ-TiAl alloy holds important application value in the aerospace industry,while its com-plex phase compositions and geometric structures pose challenges to its microstructure control during the thermal-... Theβsolidifiedγ-TiAl alloy holds important application value in the aerospace industry,while its com-plex phase compositions and geometric structures pose challenges to its microstructure control during the thermal-mechanical process.The microstructure evolution of Ti-43Al-4Nb-1Mo-0.2B alloy at 1200℃/0.01 s−1 was investigated to clarify the coupling role of dynamic recrystallization(DRX)and phase transformation.The results revealed that the rate of DRX inα2+γlamellar colonies was comparatively slower than that inβo+γmixed structure,instead being accompanied by intense lamellar kinking and rotation.The initiation and development rates of DRX inα2,βo,andγphases decreased sequentially.The asynchronous DRX of the various geometric structures and phase compositions resulted in the un-even deformed microstructure,and the dynamic softening induced by lamellar kinking and rotation was replaced by strengthened DRX as strain increased.Additionally,the blockyα2 phase and the terminals ofα2 lamellae were the preferential DRX sites owing to the abundant activated slip systems.Theα2→βo transformation within lamellar colonies facilitated DRX and fragment ofα2 lamellae,while theα2→γtransformation promoted the decomposition ofα2 lamellae and DRX ofγlamellae.Moreover,the var-iedβo+γmixed structures underwent complicated evolution:(1)Theγ→βo transformation occurred at boundaries of lamellar colonies,followed by simultaneous DRX ofγlamellar terminals and neighboringβo phase;(2)DRX occurred earlier within the band-likeβo phase,with the delayed DRX in enclosedγphase;(3)DRX within theβo synapses and neighboringγphase was accelerated owing to generation of elastic stress field;(4)Dispersedβo particles triggered particle stimulated nucleation(PSN)ofγphase.Eventually,atomic diffusion along crystal defects inβo andγphases caused fracture of band-likeβo phase and formation of massiveβo particles,impeding grain boundary migration and hindering DRXed grain growth ofγphase. 展开更多
关键词 TiAl alloy Hot deformation Dynamic recrystallization Phase transformation
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基于Transformer-XGBoost框架的轨交车辆电池多视角数据健康诊断研究
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作者 王健 毛建 +4 位作者 唐超伟 孙小康 候晓双 王春生 廖垠钦 《电源技术》 北大核心 2026年第1期129-142,共14页
锂离子电池凭借其高能量密度和长寿命,在轨道交通与储能系统中得到了广泛应用,但随着充放电循环次数的增加,其健康状态(SOH)逐步衰退,给电池管理带来安全风险与维护挑战。传统的SOH预测方法主要依赖单一视角的增量容量分析(ICA)及常规... 锂离子电池凭借其高能量密度和长寿命,在轨道交通与储能系统中得到了广泛应用,但随着充放电循环次数的增加,其健康状态(SOH)逐步衰退,给电池管理带来安全风险与维护挑战。传统的SOH预测方法主要依赖单一视角的增量容量分析(ICA)及常规数据驱动模型,难以全面捕捉电池退化过程中电化学特性与时序动态的多尺度变化,导致预测精度和鲁棒性均受限。提出了一种基于多视角数据分析的SOH预测方法,通过融合电压视图与时间视图下的增量容量(IC)曲线信息构建多视图健康因子(HI),并设计了结合Transformer与极限梯度提升(XGBoost)的预测框架。其中,Transformer采用动态时间窗调整和双尺度注意力机制,以适应不同退化阶段下的时序特征提取。而XGBoost则通过引入物理信息约束,进一步提升了预测的稳定性与鲁棒性。在马里兰大学的PL13电池训练集中,该方法实现的均方根误差(RMSE)仅为3.13×10^(−3),决定系数R^(2)高达0.997;而在PL11电池测试集中,RMSE仅为4.57×10^(−3),R^(2)达到0.994,充分验证了该方法在多视角特征融合和动态时序建模方面的卓越性能。 展开更多
关键词 健康状态 多视角数据分析 transformER XGBoost 电池管理系统
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Establishment of an efficient Agrobacterium rhizogenes-mediated hairy root transformation method for subtropical fruit trees 被引量:1
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作者 Mao Yin Yonghua Jiang +4 位作者 Yingjie Wen Fachao Shi Hua Huang Qian Yan Hailun Liu 《Horticultural Plant Journal》 2025年第4期1699-1702,共4页
Agrobacterium tumefaciens-mediated transformation has been widely adopted for plant genetic engineering and the study of gene function(Krenek et al.,2015).This method is prevalent in the genetic transformation of herb... Agrobacterium tumefaciens-mediated transformation has been widely adopted for plant genetic engineering and the study of gene function(Krenek et al.,2015).This method is prevalent in the genetic transformation of herbaceous plants,with notable applications in species such as Arabidopsis(Yin et al.,2024),soybean(Zhang et al.,2024),rice(Zhang et al.,2020),and Chinese cabbage(Li et al.,2021).However,its application in fruit trees is limited.This is primarily due to their long growth cycles and lack of rapid,efficient,and stable transgenic systems,which severely hinders foundational research involving plant genetic transformation(Mei et al.,2024).Furthermore,for subtropical fruit trees,the presence of recalcitrant seeds adds an extra layer of difficulty to genetic transformation(Umarani et al.,2015),as most methods rely on seed germination as a basis for transformation. 展开更多
关键词 study gene function krenek plant genetic engineering hairy root transformation fruit trees agrobacterium rhizogenes subtropical fruit trees genetic transformation chinese cabbage li
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Kinematics characteristics of unsprung mass in a double wishbone suspension based on velocity transformation 被引量:1
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作者 Yupeng Duan Jinglai Wu Yunqing Zhang 《Acta Mechanica Sinica》 2025年第2期184-203,共20页
The transformation from multibody models to lumped-parameter models is a crucial aspect of vehicle dynamics research.The velocity transformation method is adopted in this research,and the suspension multibody model is... The transformation from multibody models to lumped-parameter models is a crucial aspect of vehicle dynamics research.The velocity transformation method is adopted in this research,and the suspension multibody model is described using only one degree of freedom.It is found that the equivalent mass of the system is time-dependent during the simulation process,as observed in numerical simulations.Further symbolic calculations are conducted to derive the analytical form of the equivalent mass,and the results show that once the static parameters are determined,the equivalent mass of the suspension system is determined solely by the vertical position of the suspension upright,which reveals the kinematics characteristic of the equivalent mass of the suspension system.It is found that the equivalent mass experiences smaller changes when the suspension is compressed from the middle position,but larger changes when the suspension is extended.Furthermore,by comparing the multibody model,the lumped-parameter model with static mass,and the proposed lumped-parameter model considering the kinematics characteristic of the equivalent unsprung mass,the proposed model produces simulation results that more closely match the original multibody model than the model with static mass.The improvements in accuracy can be up to 20%under certain evaluation metrics. 展开更多
关键词 Multibody dynamics Velocity transformation SUSPENSION Model reduction Lumped-parameter model
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样本生成与Swin Transformer-YOLO网络结合的声呐图像目标检测
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作者 罗雨薇 霍冠英 成振 《声学学报》 北大核心 2026年第1期201-215,共15页
由于目标投放成本高和实验条件限制,声呐图像样本稀缺且质量较差,导致现有目标检测方法难以有效学习特征,限制了性能提升。为解决这一问题,本文提出了一种基于扩散模型样本生成与Swin Transformer-级联群体注意力机制(CGA)融合的改进YOL... 由于目标投放成本高和实验条件限制,声呐图像样本稀缺且质量较差,导致现有目标检测方法难以有效学习特征,限制了性能提升。为解决这一问题,本文提出了一种基于扩散模型样本生成与Swin Transformer-级联群体注意力机制(CGA)融合的改进YOLO模型(STC-YOLO)的声呐图像目标检测方法。首先,利用LoRA对稳定扩散模型进行参数调整,并结合BLIP文本模型的语义特征,生成高质量、多样化的声呐图像,以构建新的数据集。其次,将Swin Transformer结构引入YOLOv8的主干网络,增强小目标的多尺度特征提取能力,同时在C2f模块中融合CGA机制,以增强小目标的感知能力。最后,采用偏斜交并比损失函数(SIoU)以适应复杂的水下场景。实验结果表明,所训练的生成模型能够在数据有限的情况下生成多样且真实的新样本。与原YOLOv8模型相比,改进后的STC-YOLO模型检测精度提升了5%,平均精度提升了12.6%,实现了对水下小目标的高精度检测。 展开更多
关键词 声呐图像 小目标检测 稳定扩散模型 Swin transformer 级联群体注意力机制
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Unraveling the significance of cobalt on transformation kinetics,crystallography and impact toughness in high-strength steels
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作者 Yishuang Yu Jingxiao Zhao +3 位作者 Xuelin Wang Hui Guo Zhenjia Xie Chengjia Shang 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS 2025年第2期380-390,共11页
This work reveals the significant effects of cobalt(Co)on the microstructure and impact toughness of as-quenched highstrength steels by experimental characterizations and thermo-kinetic analyses.The results show that ... This work reveals the significant effects of cobalt(Co)on the microstructure and impact toughness of as-quenched highstrength steels by experimental characterizations and thermo-kinetic analyses.The results show that the Co-bearing steel exhibits finer blocks and a lower ductile-brittle transition temperature than the steel without Co.Moreover,the Co-bearing steel reveals higher transformation rates at the intermediate stage with bainite volume fraction ranging from around 0.1 to 0.6.The improved impact toughness of the Co-bearing steel results from the higher dense block boundaries dominated by the V1/V2 variant pair.Furthermore,the addition of Co induces a larger transformation driving force and a lower bainite start temperature(BS),thereby contributing to the refinement of blocks and the increase of the V1/V2 variant pair.These findings would be instructive for the composition,microstructure design,and property optimization of high-strength steels. 展开更多
关键词 high-strength steel COBALT transformation kinetics CRYSTALLOGRAPHY impact toughness
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Soliton Solutions of a Coupled KdV System via Backlund Transformation
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作者 CAO Xifang WU Yiheng +2 位作者 LU Yi XU Wenjing XIA Yutong 《应用数学》 北大核心 2025年第1期211-216,共6页
In this paper we use Böcklund transformation to construct soliton solutions for a coupled KdV system.This system was first proposed by Wang in 2010.First we generalize the well-known Bäcklund transformation ... In this paper we use Böcklund transformation to construct soliton solutions for a coupled KdV system.This system was first proposed by Wang in 2010.First we generalize the well-known Bäcklund transformation for the KdV equation to such coupled KdV system.Then from a trivial seed solution,we construct soliton solutions.We also give a nonlinear superposition formula,which allows us to generate multi-soliton solutions. 展开更多
关键词 KdV equation Coupled KdV system B¨acklund transformation SOLITON
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Mineralogical characterization and flotation properties of rare earths in refractory iron tailings subjected to hydrogen-based mineral phase transformation 被引量:1
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作者 Jilai Ning Peng Gao +5 位作者 Yang Wang Zihao Li Shuai Yuan Yongsheng Sun Wenbo Li Zhidong Tang 《International Journal of Minerals,Metallurgy and Materials》 2025年第6期1309-1321,共13页
Hydrogen-based mineral phase transformation(HMPT)technology has demonstrated its effectiveness in separating iron and enriching rare earths from Bayan Obo refractory ores.However,further research is needed to clarify ... Hydrogen-based mineral phase transformation(HMPT)technology has demonstrated its effectiveness in separating iron and enriching rare earths from Bayan Obo refractory ores.However,further research is needed to clarify the phase composition and floatability of rare earths obtained after HMPT owing to the associated phase transformations.This study explored the mineralogical characteristics and separation behavior of rare earths in HMPT-treated iron tailings.Process mineralogy studies conducted via BGRIMM process mineralogy analysis and X-ray diffraction revealed that the main valuable minerals in the tailings included rare-earth oxides(9.15wt%),monazite(5.31wt%),and fluorite(23.52wt%).The study also examined the impact of mineral liberation and gangue mineral intergrowth on flotation performance.Flotation tests achieved a rare-earth oxide(REO)grade of 74.12wt% with a recovery of 34.17% in open-circuit flotation,whereas closed-circuit flotation resulted in a REO grade of 60.27wt% with a recovery of 73%.Transmission electron microscopy and scanning electron microscopy coupled with energy-dispersive spectroscopy revealed that monazite remained stable during the HMPT process,while bastnaesite was transformed into Ce_(7)O_(12)and CeF_(3),leading to increased collector consumption.Nonetheless,the HMPT process did not significantly affect the flotation performance of rare earths.The enrichment of fluorite in the tailings highlighted its further recovery potential.The integration of HMPT with magnetic separation and flotation presents an efficient strategy for recovering rare earths,iron,and fluorite from Bayan Obo ores. 展开更多
关键词 hydrogen-based mineral phase transformation rare-earth flotation process mineralogy study Bayan Obo refractory ores
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Amplified Risks of the Yarlung Zangbo-Brahmaputra River to Glacier Hazard Chains due to Multi-Hazard Transformation 被引量:1
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作者 Ruochen Jiang Limin Zhang +4 位作者 Ming Peng Wenjun Lu Dalei Peng Shihao Xiao Xin He 《Engineering》 2025年第10期187-202,共16页
A glacier hazard chain can form a long-runout mass flow and generate a large flood,affecting downstream areas hundreds of kilometers away from the initiating hazard site.This study focuses on the Yarlung Zangbo Daxiag... A glacier hazard chain can form a long-runout mass flow and generate a large flood,affecting downstream areas hundreds of kilometers away from the initiating hazard site.This study focuses on the Yarlung Zangbo Daxiagu.The objective is to address two key unresolved issues:the evolution of detached glacier materials into debris flows or debris floods and the amplification of the impact range and threats.A comprehensive framework is developed that considers the impacts of near-field and far-field hazards.Numerical modeling,remote sensing,and field investigations were integrated to understand the interactions,transformations,and amplifications of hazards in the glacier hazard chain.The results indicate that extensive,nearly saturated sediments on the glacier valley floor,when entrained,amplify the magnitude of the mass flow.The topography plays a crucial role.When the valley outlet is perpendicular to the river course,topographic obstacles cause immediate halting,resulting in the formation of high barrier dams.Conversely,when the glacier valley aligns nearly parallel to the river course,the mass flow can travel a much longer distance upon entering the river,causing an enlarged affected area.The barrier dams can breach rapidly,causing breaching floods that amplify the downstream impact from several kilometers to hundreds of kilometers.Our analysis reveals that the overall impacts remain spatially limited.Specifically,downstream areas along the Yarlung Zangbo-Brahmaputra River are unlikely to face greater threats from the upstream floods than local monsoon floods.Our findings provide the foundation for the management of glacier hazard chains. 展开更多
关键词 Glacier hazard chain Multi-hazard transformation Risk amplification Mass flow River damming Flood risk Yarlung Zangbo-Brahmaputra River
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一种基于特征融合和Transformer的日志异常检测方法
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作者 高禧安 田金鹏 《计量与测试技术》 2026年第1期99-103,共5页
为解决现有的日志解析方法普遍存在泛化能力不足和检测准确率不稳定的问题,本文提出了一种基于特征融合的日志异常检测方法(FFTLog)。FFTLog创新性地利用SBert向量化模型构建日志特征数据,并采用迭代注意力特征融合网络(iAFF)对日志的... 为解决现有的日志解析方法普遍存在泛化能力不足和检测准确率不稳定的问题,本文提出了一种基于特征融合的日志异常检测方法(FFTLog)。FFTLog创新性地利用SBert向量化模型构建日志特征数据,并采用迭代注意力特征融合网络(iAFF)对日志的序列特征和参数特征进行深度融合。此外,采用多层Transformer构建编码器,结合因果卷积网络设计解码器,实现了高效的日志异常检测。实验表明,与现有主流方法相比,FFTLog在精度、召回率、稳定性和可靠性方面均最优。 展开更多
关键词 日志异常检测 transformER 特征融合
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Xiamen after 20 Years of Ecological Transformation
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作者 ZACHARY G.LUNDQUIST 《China Today》 2025年第1期66-68,共3页
The efforts Xiamen has made in ecological protection over the last 20 years have helped it become a beautiful and clean city.TWENTY years ago,I had the opportunity to travel to the city of Xiamen in southeastern China... The efforts Xiamen has made in ecological protection over the last 20 years have helped it become a beautiful and clean city.TWENTY years ago,I had the opportunity to travel to the city of Xiamen in southeastern China’s Fujian Province.Unfortunately,due to the fact that I was in a rush,I did not have the chance to see the whole city.My memory of Xiamen was its pleasant climate and unforgettable beauty-I knew if I ever got the opportunity,I would revisit this place.Twenty years went by until I was able to return to this city again.After emerging from the airport,I realized that I had grown older,while Xiamen was becoming increasingly youthful and vibrant.What exactly had given this city such vitality? 展开更多
关键词 ECOLOGICAL XIAMEN transformation
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一种基于CNN-Transformer的青光眼辅助诊断双编码分割网络模型
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作者 马宇张 张伟 邵浩辰 《中国医学物理学杂志》 2026年第2期268-275,共8页
视杯与视盘的精准分割是青光眼早期筛查中形态学参数计算的关键环节,针对现有方法因局部-全局特征融合效率低、长距离依赖建模不足导致的边界模糊和分割精度受限问题,提出一种基于CNN-Transformer的青光眼辅助诊断双编码分割网络模型。... 视杯与视盘的精准分割是青光眼早期筛查中形态学参数计算的关键环节,针对现有方法因局部-全局特征融合效率低、长距离依赖建模不足导致的边界模糊和分割精度受限问题,提出一种基于CNN-Transformer的青光眼辅助诊断双编码分割网络模型。首先,设计双分支互补特征融合模块替代传统跳跃连接,通过动态权重分配策略实现CNN局部细节与Transformer全局上下文的协同优化以提升特征融合效率。其次,在Transformer编码器中引入全局注意力增强模块,利用多头自注意力机制建模像素级长距离依赖关系,结合深度可分离卷积增强边界区域的上下文感知能力,有效缓解视杯/视盘边缘不连续问题。在REFUGE数据集上的实验表明,该方法在视盘分割任务中Dice系数和IoU较U-Net分别提升4.11%和5.62%;该方法在视杯分割任务中Dice系数和IoU较U-Net分别提升11.75%和19.30%。 展开更多
关键词 视杯视盘分割 青光眼辅助诊断 transformER 特征融合 注意力机制
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