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Highly Thermally Conductive and Structurally Ultra‑Stable Graphitic Films with Seamless Heterointerfaces for Extreme Thermal Management

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Nano-Micro Letters 2024年第3期16卷 383-397页

作者： Peijuan Zhang Yuanyuan Hao Hang Shi Jiahao Lu Yingjun Liu Xin Ming Ya wang Wenzhang Fang Yuxing Xia Yance Chen Peng Li ziqiu wang Qingyun Su Weidong Lv Ji Zhou Ying Zhang Haiwen Lai Weiwei Gao Zhen Xu Chao Gao MOE Key Laboratory of Macromolecular Synthesis and Functionalization Department of Polymer Science and EngineeringKey Laboratory of Adsorption and Separation Materials and Technologies of Zhejiang ProvinceZhejiang University38 Zheda RoadHangzhou 310027People’s Republic of China Shanxi-Zheda Institute of Advanced Materials and Chemical Engineering Taiyuan 030032People’s Republic of China Beijing Spacecrafts Manufacturing Co. LtdBeijing Friendship Road 104Haidian DistrictBeijing 100094People’s Republic of China Beijing Institute of Space Mechanics and Electricity Beijing Friendship Road 104Haidian DistrictBeijing 100094People’s Republic of China China Academy of Aerospace Aerodynamics Beijing 100074People’s Republic of China Hangzhou Gaoxi Technol Co. LtdHangzhou 311113People’s Republic of China International Research Center for X Polymers International CampusZhejiang UniversityHaining 314400People’s Republic of China

Highly thermally conductive graphitic film(GF)materials have become a competitive solution for the thermal management of high-power electronic ***,their catastrophic structural failure under extreme alternating thermal/cold shock poses a significant challenge to reliability and ***,we present the first investigation into the structural failure mechanism of GF during cyclic liquid nitrogen shocks(LNS),which reveals a bubbling process characterized by“permeation-diffusion-deformation”*** overcome this long-standing structural weakness,a novel metal-nanoarmor strategy is proposed to construct a Cu-modified graphitic film(GF@Cu)with seamless *** well-designed interface ensures superior structural stability for GF@Cu after hundreds of LNS cycles from 77 to 300 ***,GF@Cu maintains high thermal conductivity up to 1088 W m^(−1)K^(−1)with degradation of less than 5%even after 150 LNS cycles,superior to that of pure GF(50%degradation).Our work not only offers an opportunity to improve the robustness of graphitic films by the rational structural design but also facilitates the applications of thermally conductive carbon-based materials for future extreme thermal management in complex aerospace electronics.

关键词： Highly thermally conductive Structurally ultra-stable Graphitic film Extreme thermal management Liquid nitrogen bubbling

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射血分数保留的心力衰竭不同诊断方法在维持性血液透析患者中的应用

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中华肾脏病杂志 2024年第7期40卷 511-519页

作者：谭陶然陈慧丽王子秋钟晓丽高琛妮陈孜瑾陈晓农上海交通大学医学院附属瑞金医院肾脏内科上海200025 昆明市延安医院呈贡医院肾脏内科昆明650500 上海市奉贤区中医医院血液透析室上海201400 上海交通大学医学院附属瑞金医院卢湾分院肾脏科上海200025

目的分析射血分数保留的心力衰竭(heart failure with preserved ejection fraction,HFpEF)不同诊断方法在维持性血液透析(maintenance hemodialysis,MHD)患者中的临床应用。方法该研究为单中心回顾性队列研究,纳入2020年7月至2021年6... 详细信息

目的分析射血分数保留的心力衰竭(heart failure with preserved ejection fraction,HFpEF)不同诊断方法在维持性血液透析(maintenance hemodialysis,MHD)患者中的临床应用。方法该研究为单中心回顾性队列研究,纳入2020年7月至2021年6月在上海交通大学医学院附属瑞金医院接受血液透析的尿毒症患者,收集患者人口学资料、实验室指标及超声心动图结果。分别对患者应用2016年欧洲心脏病学会(European Society of Cardiology,ESC)标准、H2FPEF评分[基于超重(H)、高血压(H)、房颤(F)、肺动脉高压(P)、高龄(E)、充盈压(F)的加权分数构建的复合分数]和心力衰竭协会(Heart Failure Association,HFA)-PEFF[包括检查前评估(P)、超声心动图和利钠肽评分(E)、功能测试(F)和最终病因学(F)]评分诊断HFpEF,比较3种诊断方法的差异,并分析不同方法诊断HFpEF与患者不良预后(全因死亡、心血管相关死亡)的关系。结果共纳入160例MHD患者,年龄(58.5±13.4)岁,男性92例(57.5%),中位透析龄5.0(2.3,9.6)年,中位H2FPEF评分2(1,3)分,中位HFA-PEFF评分4(3,5)分。这些患者中,118例(73.8%)患者符合ESC标准诊断HFpEF,4例(2.5%)符合H2FPEF评分诊断HFpEF,56例(35.0%)符合HFA-PEFF评分诊断HFpEF。三种评分诊断HFpEF的一致性差,两两比较的κ值分别为0.018(ESC标准和H2FPEF评分)、0.322(ESC标准和HFA-PEFF评分)和0.056(H2FPEF评分和HFA-PEFF评分)。中位随访2.6年后,20例(12.5%)患者死亡。Kaplan-Meier生存分析结果显示使用H2FPEF评分确诊HFpEF和无HFpEF患者预后差异有统计学意义(Log-rank检验,χ^(2)=6.95,P=0.008)。在校正了人口统计学和临床参数后,多因素Cox回归分析提示HFA-PEFF评分诊断的HFpEF与全因死亡(HR=2.73,95%CI 1.07~6.98,P=0.036)和心血管相关死亡(HR=4.77,95%CI 1.31~17.30,P=0.018)相关。结论2016年ESC标准、H2FPEF评分和HFA-PEFF评分诊断MHD患者HFpEF的异质性大,一致性差。三种诊断方法中,仅HFA-PEFF评分与血液透析患者预后相关。HFA-PEFF评分更适用于MHD患者HFpEF风险评估,今后尚需更多的临床研究进一步验证。

关键词：肾透析心力衰竭诊断预后射血分数保留型心力衰竭

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Plastic‑Swelling Preparation of Functional Graphene Aerogel Fiber Textiles

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Advanced Fiber Materials 2023年第6期5卷 2016-2027页

作者： Yuxiang Qi Yuxing Xia Peng Li ziqiu wang Xin Ming Bo wang Kai Shen Gangfeng Cai Kaiwen Li Yue Gao Yingjun Liu Chao Gao Zhen Xu MOE Key Laboratory of Macromolecular Synthesis and Functionalization International Research Centre for X PolymersDepartment of Polymer Science and EngineeringZhejiang University38 Zheda RoadHangzhou 310027People’s Republic of China Shanxi-Zheda Institute of Advanced Materials and Chemical Engineering Taiyuan 030032People’s Republic of China

Graphene aerogel fibers(GAFs)combine the advantages of lightweight,high specific strength and conductivity of graphene,showing great potential in multifunctional wearable ***,the fabrication and application of GAF textiles are considerably limited by the low structural robustness of ***,we report a plastic-swelling method to fabricate GAF textiles with high performance and *** textiles were achieved by plastic-swelling,the prewoven graphene oxide fiber(GOF)tow *** near-solid plastic-swelling process allows GAFs in textiles to maintain high structural order and controllable density,and exhibit record-high tensile strength up to 103 MPa and electrical conductivity up to 1.06.104 S m−1 at the density of 0.4 g cm−*** textiles exhibit high strength of 113 MPa,multiple electrical and thermal functions,and high porosity to serve as host materials for more functional *** plastic-swelling provides a general strategy to fabricate diverse aerogel fiber textiles,paving the road for their realistic application.

关键词： Aerogel fiber Plastic-swelling Smart textiles Graphene

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Advances in Intermediates for the Solution-Processing of Perovskite Films

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CCS Chemistry 2024年第3期6卷 585-603页

作者： ziqiu Ren Binyang Tuo Na wang Junjie Ma Pengwei Li Yiqiang Zhang Yanlin Song Henan Institute of Advanced Technology College of ChemistryZhengzhou UniversityZhengzhou 450052 Key Laboratory of Green Printing Institute of ChemistryChinese Academy of Sciences(ICCAS)Beijing Engineering Research Center of Nanomaterials for Green Printing TechnologyNational Laboratory for Molecular Sciences(BNLMS)Beijing 100190

Owing to its superior efficiency and low cost,the solution-processable perovskite has rapidly become the latest favorite material in the field of *** solution processing significantly reduces the threshold and cost of perovskite solar cells,the intricate composition and nonequilibrium nucleation of the perovskite precursor can result in leaky *** precise control of perovskite nucleation and orientation is a fundamental prerequisite for achieving high-quality perovskite photoactive *** this process,the intermediate species that widely exists either in the precursor or the asprepared film acts as a transitional state for perovskite nucleation and growth from solution to solid,presenting an opportunity for controlling perovskite ***,we present an overview of the advancements in intermediates for solution-processing perovskite films to gain insights into the growth and manipulation of polycrystalline perovskite films.

关键词： perovskite solar cells intermediates solvent engineering phase transformation nucleation and growth

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A hybrid CNN-LSTM model for diagnosing rice nutrient levels at the rice panicle initiation stage

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Journal of Integrative Agriculture 2024年第2期23卷 711-723页

作者： Fubing Liao Xiangqian Feng ziqiu Li Danying wang Chunmei Xu Guang Chu Hengyu Ma Qing Yao Song Chen School of Computer Science and Technology Zhejiang Sci-Tech UniversityHangzhou 310018China China National Rice Research Institute Chinese Academy of Agricultural SciencesHangzhou 310006China School of Agriculture Yangtze UniversityJingzhou 434025China

Nitrogen(N)and potassium(K)are two key mineral nutrient elements involved in rice *** diagnosis of N and K status is very important for the rational application of fertilizers at a specific rice growth ***,we propose a hybrid model for diagnosing rice nutrient levels at the early panicle initiation stage(EPIS),which combines a convolutional neural network(CNN)with an attention mechanism and a long short-term memory network(LSTM).The model was validated on a large set of sequential images collected by an unmanned aerial vehicle(UAV)from rice canopies at different growth stages during a two-year *** with VGG16,AlexNet,GoogleNet,DenseNet,and inceptionV3,ResNet101 combined with LSTM obtained the highest average accuracy of 83.81%on the dataset of Huanghuazhan(HHZ,an indica cultivar).When tested on the datasets of HHZ and Xiushui 134(XS134,a japonica rice variety)in 2021,the ResNet101-LSTM model enhanced with the squeeze-and-excitation(SE)block achieved the highest accuracies of 85.38 and 88.38%,*** the cross-dataset method,the average accuracies on the HHZ and XS134 datasets tested in 2022 were 81.25 and 82.50%,respectively,showing a good *** proposed model works with the dynamic information of different rice growth stages and can efficiently diagnose different rice nutrient status levels at EPIS,which are helpful for making practical decisions regarding rational fertilization treatments at the panicle initiation stage.

关键词： dynamic model of deep learning UAV rice panicle initiation nutrient level diagnosis image classification

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Estimating Key Phenological Dates of Multiple Rice Accessions Using Unmanned Aerial Vehicle-Based Plant Height Dynamics for Breeding

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Rice science 2024年第5期31卷 617-628,I0066-I0070页

作者： HONG Weiyuan LI ziqiu FENG Xiangqian QIN Jinhua wang Aidong JIN Shichao wang Danying CHEN Song State Key Laboratory of Rice Biology and Breeding China National Rice Research InstituteHangzhou 311400China College of Computer Science and Technology Zhejiang Sci-Tech UniversityHangzhou 310018China College of Agriculture Yangtze UniversityJingzhou 434025China Plant Phenomics Research Centre Academy for Advanced Interdisciplinary StudiesNanjing Agricultural UniversityNanjing 210095China

Efficient and high-quality estimation of key phenological dates in rice is of great significance in breeding work. Plant height(PH) dynamics are valuable for estimating phenological dates. However, research on estimating the key phenological dates of multiple rice accessions based on PH dynamics has been limited. In 2022, field traits were collected using unmanned aerial vehicle(UAV)-based images across 435 plots, including 364 rice varieties. PH, dates of initial heading(IH) and full heading(FH), and panicle initiation(PI), and growth period after transplanting(GPAT) were collected during the rice growth stage. PHs were extracted using a digital surface model(DSM) and fitted using Fourier and logistic models. Machine learning algorithms, including multiple linear regression, random forest(RF), support vector regression, least absolute shrinkage and selection operator, and elastic net regression, were employed to estimate phenological dates. Results indicated that the optimal percentile of the DSM for extracting rice PH was the 95th(R^(2) = 0.934, RMSE = 0.056 m). The Fourier model provided a better fit for PH dynamics compared with the logistic models. Additionally, curve features(CF) and GPAT were significantly associated with PI, IH, and FH. The combination of CF and GPAT outperformed the use of CF alone, with RF demonstrating the best performance among the algorithms. Specifically, the combination of CF extracted from the logistic models, GPAT, and RF yielded the best performance for estimating PI(R^(2) = 0.834, RMSE = 4.344 d), IH(R^(2) = 0.877, RMSE = 2.721 d), and FH(R^(2) = 0.883, RMSE = 2.694 d). Overall, UAV-based rice PH dynamics combined with machine learning effectively estimated the key phenological dates of multiple rice accessions, providing a novel approach for investigating key phenological dates in breeding work.

关键词： phenological date plant height unmanned aerial vehicle machine learning rice breeding

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材料、能源、机械工程中高效的电流变技术——从机理到应用

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Engineering 2023年第5期24卷 151-171,I0004页

作者： Yudai Liang Dongyang Huang Xuefeng Zhou ziqiu wang Quan Shi Yaying Hong Huayan Pu Mengying Zhang Jinbo Wu Weijia Wen Materials Genome Institute Shanghai UniversityShanghai 200444China Zhejiang Laboratory Hangzhou 311100China Fok Ying Tung Research Institute The Hong Kong University of Science and Technology(Guangzhou)Guangzhou 511458China School of Mechatronic Engineering and Automation Shanghai UniversityShanghai 200444China Department of Physics Shanghai UniversityShanghai 200444China Department of Physics The Hong Kong University of Science and TechnologyHong Kong 999077China The Advanced Material Thrust The Hong Kong University of Science and Technology(Guangzhou)Guangzhou 511458China

电流变(ER)技术是一种基于电流变效应的先进技术。电流变技术中最常见的材料是电流变液(ERF)。电流变液是一种软物质智能材料,其黏度可以通过施加电场来可逆地调节。电流变液的衍生物、一种新型的电响应软物质材料——电流变弹性体(ERE)... 详细信息

电流变(ER)技术是一种基于电流变效应的先进技术。电流变技术中最常见的材料是电流变液(ERF)。电流变液是一种软物质智能材料,其黏度可以通过施加电场来可逆地调节。电流变液的衍生物、一种新型的电响应软物质材料——电流变弹性体(ERE),由于其不沉降、易封装的优点也得到了越来越多的关注。电流变材料由于其可逆可调、快速响应、低能耗等特性在机械工程中有着广泛的应用。除了基础的电流变材料的合成和应用以外,电流变技术还应用在了能源材料制备、石油运输、储能等诸多领域。电流变技术在能源领域的应用为其在其他领域的潜在应用提供了一个很好的范例。本文结合最新的研究成果,从机理到应用,系统地综述了电流变技术在材料、能源和机械工程等领域的研究现状和未来发展前景。

关键词：电流变技术电流变弹性体电流变材料机械工程石油运输电流变液电流变效应智能材料

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Effects of COVID-19 pandemic on human fertility:A scientometric and visualized evaluation

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Genes & Diseases 2024年第4期11卷 113-115页

作者： Xiangxiu wang Yifan Rao Lili Tan ziqiu Hu Lin Wen Weixi Qin Bingyi Li Keqiao He Tieying Yin Juhui Qiu Yuming wang Yaokai Chen Xiancai Rao Guixue wang Key Laboratory of Biorheological and Technology of the Ministry of Education State and Local Joint Engineering LaboratoryforVascular ImplantsModern LifeScience Experiment Teaching Center at Bioengineering College of Chongqing UniversityChongqing 400030China Department of Microbiology College of Basic Medical SciencesKey Laboratory of Microbial Engineering Under the Educational Committee in ChongqingArmy Medical University(Third Military Medical University)Chongqing 400038China Jinfeng Laboratory Chongqing 401329China Division of Infectious Diseases Chongqing Public Health Medical CenterChongqing 400036China

CovID-19,also known as coronavirus disease 2019,is a novel coronavirus disease with high infectivity,strong heterogeneity,and long incubation period(generally 3-14 days).Its main symptoms and signs include fever,dry cough,nasal congestion,fatigue,disorientation,lymphopenia,and *** short-term and long-term impacts of covID-19 on human health,particularly its effects on human reproduction and offspring development,continue to receive significant concerns,as they may lead to potential sequelae for several decades or even centuries.

关键词： nasal fertility fever

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Estimating Key Phenological Dates of Multiple Rice Accessions Using Unmanned Aerial Vehicle-Based Plant Height Dynamics for Breeding

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Rice Science 2024年第05期 617-633页

作者： HONG Weiyuan LI ziqiu FENG Xiangqian QIN Jinhua wang Aidong JIN Shichao wang Danying CHEN Song State Key Laboratory of Rice Biology and Breeding China National Rice Research Institute College of Computer Science and Technology Zhejiang Sci-Tech University College of Agriculture Yangtze University Plant Phenomics Research Centre Academy for Advanced Interdisciplinary Studies Nanjing Agricultural University

Efficient and high-quality estimation of key phenological dates in rice is of great significance in breeding work. Plant height（PH） dynamics are valuable for estimating phenological dates. However, research on estimating the key phenological dates of multiple rice accessions based on PH dynamics has been limited. In 2022, field traits were collected using unmanned aerial vehicle（UAV）-based images across 435 plots, including 364 rice varieties. PH, dates of initial heading（IH） and full heading（FH）, and panicle initiation（PI）, and growth period after transplanting（GPAT） were collected during the rice growth stage. PHs were extracted using a digital surface model（DSM） and fitted using Fourier and logistic models. Machine learning algorithms, including multiple linear regression, random forest（RF）, support vector regression, least absolute shrinkage and selection operator, and elastic net regression, were employed to estimate phenological dates. Results indicated that the optimal percentile of the DSM for extracting rice PH was the 95th（R2= 0.934, RMSE = 0.056 m）. The Fourier model provided a better fit for PH dynamics compared with the logistic models. Additionally, curve features（CF） and GPAT were significantly associated with PI, IH, and FH. The combination of CF and GPAT outperformed the use of CF alone, with RF demonstrating the best performance among the algorithms. Specifically, the combination of CF extracted from the logistic models, GPAT, and RF yielded the best performance for estimating PI（R2= 0.834, RMSE = 4.344 d）, IH（R2= 0.877, RMSE = 2.721 d）, and FH（R2= 0.883, RMSE = 2.694 d）. Overall, UAV-based rice PH dynamics combined with machine learning effectively estimated the key phenological dates of multiple rice accessions, providing a novel approach for investigating key phenological dates in breeding work.

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多途径丝裂原激活的蛋白激酶介导一氧化氮引起的肝癌细胞凋亡

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肿瘤 2004年第5期24卷 459-463页

作者：任正刚刘银坤 ziqiu wang Sid Kar Brian I Carr 复旦大学肝癌研究所复旦大学附属中山医院美国匹兹堡大学肝癌中心Pittsburgh 15213

目的研究非离子型的diazeniumdiolate类一氧化氮供体引起肝癌细胞凋亡的分子机制。方法利用免疫印迹、免疫沉淀、凝胶阻滞实验研究一氧化氮供体处理Hep3B肝癌细胞后,丝裂原激活的蛋白激酶、AP-1的激活以及和Hep3B肝癌细胞凋亡的关系... 详细信息

目的研究非离子型的diazeniumdiolate类一氧化氮供体引起肝癌细胞凋亡的分子机制。方法利用免疫印迹、免疫沉淀、凝胶阻滞实验研究一氧化氮供体处理Hep3B肝癌细胞后,丝裂原激活的蛋白激酶、AP-1的激活以及和Hep3B肝癌细胞凋亡的关系。结果一氧化氮可引起细胞外信号调节蛋白激酶、c-jun N末端激酶和p38激酶的激活,特别是细胞外信号调节的蛋白激酶的持续激活,其中细胞外信号调节的蛋白激酶和c-jun N末端激酶的特异的阻断剂U0126和JNK抑制剂Ⅱ可阻断AP-1的激活和Hep3B细胞的凋亡,而p38激酶的阻断剂SB203580不能阻断AP-1的激活和Hep3B肝癌细胞的凋亡。结论一氧化氮通过激活细胞外信号调节蛋白激酶、c-jun N末端激酶,进而激活AP-1而引起Hep3B肝癌细胞的凋亡。

关键词：肝肿瘤 Hep3B细胞蛋白激酶类丝裂原激活的一氧化氮细胞凋亡

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