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The immune-chemo-embolization effect of temperature sensitive gold nanomedicines against liver cancer

Nano Research 2023年第2期16卷 2749-2761页

作者： Yiming Liu dingwen shi Yanqiao Ren Ling Li Yanbing Zhao Chuansheng Zheng Xiangliang Yang Department of Radiology Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430022China National Engineering Research Center for Nanomedicine Key Laboratory of Molecular Biophysics of Ministry of EducationCollege of Life Science and TechnologyHuazhong University of Science and TechnologyWuhan 430074China School of Biomedical Engineering Hubei University of Science and TechnologyXianning 437100China Hubei Key Laboratory of Bioinorganic Chemistry and Materia Medica Hubei Engineering Research Center for Biomaterials and Medical Protective MaterialsHuazhong University of Science and TechnologyWuhan 430074China GBA Research Innovation Institute for Nanotechnology Guangzhou 510530China Hubei Province Key Laboratory of Molecular Imaging Wuhan 430022China

Although transcatheter arterial chemo-embolization(TACE)plays a key role on clinical treatment of hepatocellular carcinoma(HCC),it was greatly limited by the poor synergistic effect between chemotherapeutics and physical embolization to tumor-feeding *** the present work,a temperature sensitive polymer poly(N-isopropylacrylamide-b-methacrylic acid)(PNA),which was modified with gold nanoparticles(AuNP@PNA),was successfully used to encapsulate doxorubicin(DOX)by electrostatic binding with their carboxyl *** resultant gold nanomedicines(AuNP@PNA/DOX)exhibited temperature responsive sol-gel phase transition,favorable shear thinning effect and X-ray *** in vivo evaluation of vascular embolization on VX2-tumor-bearing rabbits,AuNP@PNA/DOX exhibited far better antitumor efficacy than Lipiodol/DOX,on either tumor growth inhibition,proliferation,apoptosis,necrosis or *** to sufficient embolization to tumor vascular networks,AuNP@PNA/DOX down-regulated the expression levels of HIF-1α,VEGF and MMP-9,and prompted more efficient activation on CD3+/CD8+T cells and the related cytokines,suggesting the synergistic effect between AuNP@PNA and DOX on the improvement of post-operative tumor immunosuppressive *** their favorable pharmcokinetics and biocompatibility,AuNP@PNA/DOX is promising to be developed as a multi-functional artery-imaging/embolic agent with immune-chemo-embolization for enhancing TACE efficacy on HCC.

关键词： temperature sensitive nanogels gold nanoparticles transcatheter arterial chemo-embolization(TACE) antitumor immune response

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利用在线字典学习实现图像超分辨率重建的算法

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武汉大学学报（信息科学版） 2018年第5期43卷 719-725页

作者：鹿璇汪鼎文石文轩武汉大学电子信息学院湖北武汉430072 武汉大学国际软件学院湖北武汉430079 武汉大学遥感信息工程学院湖北武汉430079

图像超分辨率重建是通过对单张或多张具有互补信息的低分辨率图像进行处理,重建一张高分辨率图像的技术。在单张图像的超分辨率重建中,基于稀疏表示的方法取得了很好的效果,得到了广泛的应用。一张图像中不同区域的图像块的内容一般会... 详细信息

图像超分辨率重建是通过对单张或多张具有互补信息的低分辨率图像进行处理,重建一张高分辨率图像的技术。在单张图像的超分辨率重建中,基于稀疏表示的方法取得了很好的效果,得到了广泛的应用。一张图像中不同区域的图像块的内容一般会有显著变化。而基于稀疏表示的超分辨率重建算法多采用固定的字典,无法适应每一个图像块的重建需求。提出了一种结合外部数据和输入图像自身信息进行超分辨率重建的方法,通过搜索待处理图像块的非局部自相似块,结合在线字典学习方法对字典进行更新,从而保证更新后的字典能够匹配待处理的图像块。采用包括遥感图像在内的5张图像进行实验,并与4种经典的超分辨率重建算法进行比较,实验结果表明,此算法在主观评价和客观评价方面都有更好的表现。

关键词：超分辨率重建稀疏表示在线字典学习非局部自相似性

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Joint Feature Encoding and Task Alignment Mechanism for Emotion-Cause Pair Extraction

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Computers, Materials & Continua 2025年第1期82卷 1069-1086页

作者： shi Li Didi Sun College of Computer and Control Engineering Northeast Forestry UniversityHarbin150040China

With the rapid expansion of social media,analyzing emotions and their causes in texts has gained significant ***-cause pair extraction enables the identification of causal relationships between emotions and their triggers within a text,facilitating a deeper understanding of expressed sentiments and their underlying *** comprehension is crucial for making informed strategic decisions in various business and societal ***,recent research approaches employing multi-task learning frameworks for modeling often face challenges such as the inability to simultaneouslymodel extracted features and their interactions,or inconsistencies in label prediction between emotion-cause pair extraction and independent assistant tasks like emotion and cause *** address these issues,this study proposes an emotion-cause pair extraction methodology that incorporates joint feature encoding and task alignment *** model consists of two primary components:First,joint feature encoding simultaneously generates features for emotion-cause pairs and clauses,enhancing feature interactions between emotion clauses,cause clauses,and emotion-cause ***,the task alignment technique is applied to reduce the labeling distance between emotion-cause pair extraction and the two assistant tasks,capturing deep semantic information interactions among *** proposed method is evaluated on a Chinese benchmark corpus using 10-fold cross-validation,assessing key performance metrics such as precision,recall,and F1 *** results demonstrate that the model achieves an F1 score of 76.05%,surpassing the state-of-the-art by 1.03%.The proposed model exhibits significant improvements in emotion-cause pair extraction(ECPE)and cause extraction(CE)compared to existing methods,validating its *** research introduces a novel approach based on joint feature encoding and task alignment mechanisms,contributing to advancements in emotion-c

关键词： Emotion-cause pair extraction interactive information enhancement joint feature encoding label consistency task alignment mechanisms

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Detection and Recognition of Spray Code Numbers on Can Surfaces Based on OCR

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Computers, Materials & Continua 2025年第1期82卷 1109-1128页

作者： Hailong Wang Junchao shi School of Computer Science Zhongyuan University of TechnologyZhengzhou450007China

A two-stage algorithm based on deep learning for the detection and recognition of can bottom spray codes and numbers is proposed to address the problems of small character areas and fast production line speeds in can bottom spray code number *** the coding number detection stage,Differentiable Binarization Network is used as the backbone network,combined with the Attention and Dilation Convolutions Path Aggregation Network feature fusion structure to enhance the model detection *** terms of text recognition,using the Scene Visual Text Recognition coding number recognition network for end-to-end training can alleviate the problem of coding recognition errors caused by image color distortion due to variations in lighting and background *** addition,model pruning and quantization are used to reduce the number ofmodel parameters to meet deployment requirements in resource-constrained environments.A comparative experiment was conducted using the dataset of tank bottom spray code numbers collected on-site,and a transfer experiment was conducted using the dataset of packaging box production *** experimental results show that the algorithm proposed in this study can effectively locate the coding of cans at different positions on the roller conveyor,and can accurately identify the coding numbers at high production line *** Hmean value of the coding number detection is 97.32%,and the accuracy of the coding number recognition is 98.21%.This verifies that the algorithm proposed in this paper has high accuracy in coding number detection and recognition.

关键词： Can coding recognition differentiable binarization network scene visual text recognition model pruning and quantification transport model

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The pivotal role of microglia in injury and the prognosis of subarachnoid hemorrhage

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Neural Regeneration Research 2025年第7期20卷 1829-1848页

作者： Wenjing Ning shi Lv Qian Wang Yuzhen Xu Department of Rehabilitation The Second Affiliated Hospital of Shandong First Medical UniversityTaianShandong ProvinceChina Department of Central Laboratory The Affiliated Taian City Central Hospital of Qingdao UniversityTaianShandong ProvinceChina

Subarachnoid hemorrhage leads to a series of pathological changes,including vascular spasm,cellular apoptosis,blood–brain barrier damage,cerebral edema,and white matter ***,which are the key immune cells in the central nervous system,maintain homeostasis in the neural environment,support neurons,mediate apoptosis,participate in immune regulation,and have neuroprotective *** evidence has shown that microglia play a pivotal role in the pathogenesis of subarachnoid hemorrhage and affect the process of injury and the prognosis of subarachnoid ***,microglia play certain neuroprotective roles in the recovery phase of subarachnoid *** approaches aimed at modulating microglia function are believed to attenuate subarachnoid hemorrhage *** provides new targets and ideas for the treatment of subarachnoid ***,an in-depth and comprehensive summary of the role of microglia after subarachnoid hemorrhage is still *** review describes the activation of microglia after subarachnoid hemorrhage and their roles in the pathological processes of vasospasm,neuroinflammation,neuronal apoptosis,blood–brain barrier disruption,cerebral edema,and cerebral white matter *** also discusses the neuroprotective roles of microglia during recovery from subarachnoid hemorrhage and therapeutic advances aimed at modulating microglial function after subarachnoid ***,microglia in subarachnoid hemorrhage are targeted with TLR inhibitors,nuclear factor-κB and STAT3 pathway inhibitors,glycine/tyrosine kinases,NLRP3 signaling pathway inhibitors,Gasdermin D inhibitors,vincristine receptorαreceptor agonists,ferroptosis inhibitors,genetic modification techniques,stem cell therapies,and traditional Chinese ***,most of these are still being evaluated at the laboratory *** clinical studies and data on subarachnoid hemorrhage are required to improve the treatment of subarachnoid hemor

关键词： apoptosis blood–brain barrier brain edema microglia neuroinflammation neuron neuroprotection subarachnoid hemorrhage vasoconstriction white matter injury

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Low-temperature chlorination roasting technology for the simultaneous recovery of valuable metals from spent LiCoO_(2)cathode material

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International Journal of Minerals,Metallurgy and Materials 2025年第1期32卷 80-91页

作者： Junjie shi Changle Hou Jingjing Dong Dong Chen Jianzhong Li Key Laboratory for Ecological Metallurgy of Multimetallic Mineral(Ministry of Education) Northeastern UniversityShenyang 110819China School of Metallurgy Northeastern UniversityShenyang 110819China

With the continuous increase in the disposal volume of spent lithium-ion batteries(LIBs),properly recycling spent LIBs has become essential for the advancement of the circular *** study presents a systematic analysis of the chlorination roasting kinetics and proposes a new two-step chlorination roasting process that integrates thermodynamics for the recycling of LIB cathode *** activation energy for the chloride reaction was 88.41 kJ/mol according to thermogravimetric analysis–derivative thermogravimetry data obtained by using model-free,model-fitting,and Z(α)function(αis conversion rate).Results indicated that the reaction was dominated by the first-order(F1)model when the conversion rate was less than or equal to 0.5 and shifted to the second-order(F2)model when the conversion rate exceeded *** conditions were determined by thoroughly investigating the effects of roasting temperature,roasting time,and the mass ratio of NH_(4)Cl to LiCoO_(2).Under the optimal conditions,namely 400℃,20 min,and NH_(4)Cl/LiCoO_(2)mass ratio of 3:1,the leaching efficiency of Li and Co reached 99.43% and 99.05%,*** of the roasted products revealed that valuable metals in LiCoO_(2)transformed into CoCl_(2) and ***,the reaction mechanism was elucidated,providing insights for the establishment of a novel low-temperature chlorination roasting technology based on a crystal structure *** technology can guide the development of LIB recycling processes with low energy consumption,low secondary pollution,high recovery efficiency,and high added value.

关键词： spent lithium-ion battery thermodynamics chlorination roasting kinetics circular economy

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Effect of pyrite content on chalcopyrite flotation under different regrinding conditions

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International Journal of Minerals,Metallurgy and Materials 2025年第1期32卷 49-57页

作者： Zejun Wang Qing shi Guofan Zhang Yuxuan Zhu Binbin Li School of Minerals Processing and Bioengineering Central South UniversityChangsha 410083China Key Laboratory of Hunan Province for Clean and Efficient Utilization of Strategic Calcium-containing Mineral Resources Central South UniversityChangsha 410083China

This study aimed to investigate the effect of varying pyrite(Py)content on copper(Cu)in the presence of different regrinding conditions,which were altered using different types of grinding media:iron,ceramic balls,and their mixture,followed by flotation in the cleaner *** flotation performance of rough Cu concentrate can be improved by changing the regrinding conditions based on the Py *** electron microscopy,X-ray spectrometry,ethylenediaminetetraacetic acid disodium salt extraction,and X-ray photoelectron spectroscopy studies illustrated that when the Py content was high,the use of iron media in regrinding promoted the generation of hydrophilic Fe OOH on the surface of Py and improved the Cu *** ceramic medium with a low Py content prevented excessive Fe OOH from covering the surface of chalcopyrite(Cpy).Electrochemical studies further showed that the galvanic corrosion current of Cpy-Py increased with the addition of Py and became stronger with the participation of iron media.

关键词： chalcopyrite regrinding media pyrite galvanic corrosion flotation

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Prediction and optimization of flue pressure in sintering process based on SHAP

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International Journal of Minerals,Metallurgy and Materials 2025年第2期32卷 346-359页

作者： Mingyu Wang Jue Tang Mansheng Chu Quan shi Zhen Zhang School of Metallurgy Northeastern UniversityShenyang 110819China Liaoning Low-Carbon Steelmaking Technology Engineering Research Center Northeastern UniversityShenyang 110819China Engineering Research Center of Frontier Technologies for Low-Carbon Steelmaking(Ministry of Education) Shenyang 110819China

Sinter is the core raw material for blast *** pressure,which is an important state parameter,affects sinter *** this paper,flue pressure prediction and optimization were studied based on the shapley additive explanation(SHAP)to predict the flue pressure and take targeted adjustment ***,the sintering process data were collected and processed.A flue pressure prediction model was then constructed after comparing different feature selection methods and model algorithms using SHAP+extremely random-ized trees(ET).The prediction accuracy of the model within the error range of±0.25 kPa was 92.63%.SHAP analysis was employed to improve the interpretability of the prediction *** effects of various sintering operation parameters on flue pressure,the relation-ship between the numerical range of key operation parameters and flue pressure,the effect of operation parameter combinations on flue pressure,and the prediction process of the flue pressure prediction model on a single sample were analyzed.A flue pressure optimization module was also constructed and analyzed when the prediction satisfied the judgment *** operating parameter combination was then *** flue pressure was increased by 5.87%during the verification process,achieving a good optimization effect.

关键词： sintering process flue pressure shapley additive explanation prediction optimization

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高温气冷堆核电站金属堆内构件锻件材料12Cr2Mo1落锤试验研究

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大型铸锻件 2011年第3期 11-18页

作者：郭平史鼎文靳海山李向中核能源科技有限公司北京100084 上海电气重工集团上海200245

12Cr2Mo1低合金钢是第一次在我国高温气冷堆核电站金属堆内构件主体设备上应用,在制造过程中落锤试验出现不合格。经过对断裂试样宏观和显微结构的研究,发现焊道的热影响区对落锤试验的影响很大。对焊道的施焊工艺进行了改进,并严格控... 详细信息

12Cr2Mo1低合金钢是第一次在我国高温气冷堆核电站金属堆内构件主体设备上应用,在制造过程中落锤试验出现不合格。经过对断裂试样宏观和显微结构的研究,发现焊道的热影响区对落锤试验的影响很大。对焊道的施焊工艺进行了改进,并严格控制焊道的成型尺寸,验证实验结果证实了该方法可以使试验的无塑性断裂温度降低。后经过产品试验,使锻件的一次合格率明显提高。

关键词： 12Cr2Mol 高温气冷堆核电站堆内构件

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Interpretable Machine Learning Method for Compressive Strength Prediction and Analysis of Pure Fly Ash-based Geopolymer Concrete

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Journal of Wuhan University of Technology(Materials Science) 2025年第1期40卷 65-78页

作者： shi Yuqiong LI Jingyi ZHANG Yang LI Li Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas of Ministry of Education Northwest A&F Uni-versityYangling 712100China College of Water Resources and Architectural Engineering Northwest A&F UniversityYangling 712100China Chongqing Key Laboratory of Public Big Data Security Technology Chongqing 401420China Chongqing College of Mobile Communication Chongqing 401520China Department of Civil and Environmental Engineering The Hong Kong Polytechnic UniversityHung HomKowloonHong KongChina National Rail Transit Electrification and Automation Engineering Technology Research Center(Hong Kong Branch) The Hong Kong Polytechnic UniversityKowloonHung HomHong KongChina

In order to study the characteristics of pure fly ash-based geopolymer concrete(PFGC)conveniently,we used a machine learning method that can quantify the perception of characteristics to predict its compressive *** this study,505 groups of data were collected,and a new database of compressive strength of PFGC was *** order to establish an accurate prediction model of compressive strength,five different types of machine learning networks were used for comparative *** five machine learning models all showed good compressive strength prediction performance on *** them,R2,MSE,RMSE and MAE of decision tree model(DT)are 0.99,1.58,1.25,and 0.25,*** R2,MSE,RMSE and MAE of random forest model(RF)are 0.97,5.17,2.27 and 1.38,*** two models have high prediction accuracy and outstanding generalization *** order to enhance the interpretability of model decision-making,we used importance ranking to obtain the perception of machine learning model to 13 *** 13 variables include chemical composition of fly ash(SiO_(2)/Al_(2)O_(3),Si/Al),the ratio of alkaline liquid to the binder,curing temperature,curing durations inside oven,fly ash dosage,fine aggregate dosage,coarse aggregate dosage,extra water dosage and sodium hydroxide *** temperature,specimen ages and curing durations inside oven have the greatest influence on the prediction results,indicating that curing conditions have more prominent influence on the compressive strength of PFGC than ordinary Portland cement *** importance of curing conditions of PFGC even exceeds that of the concrete mix proportion,due to the low reactivity of pure fly ash.

关键词： machine learning pure fly ash geopolymer compressive strength feature perception

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