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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

A visual analysis approach for data imputation via multi-party tabular data correlation strategies

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Frontiers of Information Technology & Electronic Engineering 2024年第3期25卷 398-414页

作者： Haiyang ZHU Dongming HAN Jiacheng PAN Yating WEI Yingchaojie FENG Luoxuan WENG Ketian MAO Yuankai XING Jianshu LV Qiucheng WAN Wei CHEN The State Key Lab of CAD&CG Zhejiang UniversityHangzhou 310058China Wuchan Zhongda Digital Technology Co. Ltd.Hangzhou 310020China Zhejiang Metals and Materials Co. Ltd.Hangzhou 310005China

Data imputation is an essential pre-processing task for data governance,aimed at filling in incomplete ***,conventional data imputation methods can only partly alleviate data incompleteness using isolated tabular data,and they fail to achieve the best balance between accuracy and *** this paper,we present a novel visual analysis approach for data *** develop a multi-party tabular data association strategy that uses intelligent algorithms to identify similar columns and establish column correlations across multiple ***,we perform the initial imputation of incomplete data using correlated data entries from other ***,we develop a visual analysis system to refine data imputation *** interactive system combines the multi-party data imputation approach with expert knowledge,allowing for a better understanding of the relational structure of the *** significantly enhances the accuracy and eficiency of data imputation,thereby enhancing the quality of data governance and the intrinsic value of data *** validation and user surveys demonstrate that this method supports users in verifying and judging the associated columns and similar rows using theirdomain knowledge.

关键词： Data governance Data incompleteness Data imputation Data visualization Interactive visual analysis

不同灌溉模式对籼粳杂交稻甬优1540产量与水分利用效率的影响

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Tirofiban combined with Aspirin in the Treatment of Acute Penetrating Artery Territory Infarction (STRATEGY): protocol for a multicentre, randomised controlled trial

作物学报 2024年第2期50卷 425-439页

作者：徐冉杨文叶朱均林陈松徐春梅刘元辉章秀福王丹英褚光中国水稻研究所/水稻生物育种全国重点实验室浙江杭州 311400 襄阳市农业科学院湖北襄阳 441057 杭州市农业技术推广中心浙江杭州 310000 中国水稻研究所/水稻生物育种全国重点实验室浙江杭州 311400

旨在探讨不同灌溉模式对籼粳杂交稻甬优1540产量与水分利用效率的影响,并阐明其相关生理基础.本研究以甬优1540为材料,设置了 3种灌溉模式,即长淹灌溉(continuous flooding,CF)、轻度干湿交替灌溉(alternate wetting and moderate dryin... 详细信息

旨在探讨不同灌溉模式对籼粳杂交稻甬优1540产量与水分利用效率的影响,并阐明其相关生理基础.本研究以甬优1540为材料,设置了 3种灌溉模式,即长淹灌溉(continuous flooding,CF)、轻度干湿交替灌溉(alternate wetting and moderate drying,AWMD)以及重度干湿交替灌溉(alternate wetting and severe drying,AWSD).研究结果表明,与CF相比,AWMD与AWSD均能显著提高水分利用效率,增幅分别为22.6％～25.6％与18.2％～23.1％;AWMD可以显著提高水稻产量,增幅为8.6％～10.0％,而AWSD则显著降低水稻产量,降幅为6.0％～7.5％.与CF相比,AWMD显著降低了拔节期水稻的茎蘖数、地上部干物质重、叶面积指数、移栽至齐穗期的光合势以及移栽至拔节期的作物生长速率,但显著提高了茎蘖成穗率、拔节至齐穗期的作物生长速率、主要生育期水稻根长密度、深根比、比根长、根系总吸收表面积与活跃吸收表面积,以及灌浆后2次土壤复水期的剑叶净光合速率、根系氧化力、根系与叶片中玉米素和玉米素核苷(Z+ZR)含量、籽粒中蔗糖-淀粉代谢途径关键酶活性等指标.以上结果表明,AWMD可以协同提高甬优1540产量与水分利用效率,优化根-冠生长发育特征,提高灌浆期植株生理活性,实现高产与水分高效利用,为本研究最佳水分管理模式.

关键词：籼粳杂交稻干湿交替灌溉产量水分利用率根系形态与生理特征

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Stroke & Vascular Neurology 2024年第1期9卷 75-81,I0047-I0052页

作者： Xiaoling Liao Shuo Feng Yicong Wang Yuesong Pan Weiqi Chen Hui Qu Xingquan Zhao Liping Liu Yongjun Wang Yilong Wang Department of Neurology Beijing Tiantan HospitalCapital Medical UniversityBeijingChina China National Clinical Research Center for Neurological Diseases Beijing TiantanHospitalCapital Medical UniversityBeijingChina Chinese Institute for Brain Research BeijingChina National Center for Neurological Diseases BeijingChina Advanced Innovation Center for Human Brain Protection Capital Medical UniversityBeijingChina Beijing Laboratory of Oral Health Capital Medical UniversityBeijingChina

Background Perforating artery territorial infarction(PAI)caused by branch atheromatous disease(BAD)is prone to recurrence and early progression without an effective and well-documented antiplatelet treatment ***,an adjunctive antiplatelet agent,has shown great potential to treat acute ischaemic ***,whether the combination of tirofiban and aspirin can improve the prognosis of PAI remains *** To explore an effective and safe antiplatelet regimen for reducing the risk of recurrence and early neurological deterioration(END)in PAI caused by BAD by comparing the tirofiban and aspirin combination with placebo and aspirin *** Tirofiban combined with Aspirin in the Treatment of Acute Penetrating Artery Territory Infarction(STRATEGY)trial is an ongoing multicentre,randomised,placebo-controlled trial in *** patients shall be randomly assigned to receive standard aspirin with tirofiban or placebo on the first day and standard aspirin from days 2 to *** primary endpoint is a new stroke or END within 90 *** primary safety endpoint is severe or moderate bleeding within 90 *** The STRATEGY trial will assess whether tirofiban combined with aspirin is effective and safe in preventing recurrence and END in patients with *** registration number NCT05310968.

关键词： Aspirin regimen centre

In patients who had a stroke or TIA, enlarged perivascular spaces in basal ganglia may cause future haemorrhagic strokes

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Stroke & Vascular Neurology 2024年第1期9卷 8-17,I0001-I0033页

作者： Yu Tian Mengxing Wang Yuesong Pan Xia Meng Xingquan Zhao Liping Liu Yongjun Wang Yilong Wang Department of Neurology Beijing Tiantan HospitalCapital Medical UniversityBeijingChina Chinese Institute for Brain Research BeijingChina National Center for Neurological Diseases BeijingChina Advanced Innovation Center for Human Brain Protection Capital Medical UniversityBeijingChina China National Clinical Research Center for Neurological Diseases BeijingChina

Introduction It remains unclear whether enlarged perivascular spaces(EPVS)predict poor clinical outcomes in patients with acute ischaemic stroke(AIS)or transient ischaemic attack(TIA).Method Data were obtained from the Third China National Stroke Registry *** estimated EPVS in basal ganglia(BG)and centrum semiovale(CSO)using a semiquantified scale(Grade from 0 to 4).Using Cox and logistic regression analyses,the associations of EPVS with 3-month and 1-year adverse outcomes(including recurrent stroke,ischaemic stroke,haemorrhagic stroke,combined vascular event,disability and mortality)were *** analyses of any association of cerebral small vessel disease at baseline and development of a small arterial occlusion(SAO)were *** Among 12603 patients with AIS/TIA,median age was 61.7±11.6 years,and 68.2%were *** adjusting for all potential confounders,frequent-to-severe BG-EPVS was associated with a decreased risk of recurrent ischaemic stroke(HR 0.71,95%CI 0.55 to 0.92,p=0.01)but an increased risk of haemorrhagic stroke(HR 1.99,95%CI 1.11 to 3.58,p=0.02)at 1 year after AIS/TIA,compared with none-to-mild *** with frequent-to-severe CSO-EPVS had a decreased risk of disability(OR 0.76,95%CI 0.62 to 0.92,p=0.004)and all-cause death(HR 0.55,95%CI 0.31 to 0.98,p=0.04)within 3-month but not 1-year follow-ups,compared with those with none-to-mild *** analyses showed that both BG-EPVS(HR 0.43,95%CI 0.21 to 0.87,p=0.02)and CSO-EPVS(HR 0.58,95%CI 0.35 to 0.95,p=0.03)were associated with a decreased risk of subsequent ischaemic stroke in patients with SAO during 1-year *** BG-EPVS increased the risk of haemorrhagic stroke in patients already with AIS/TIA within 1 ***,caution is recommended when selecting antithrombotic agents for secondary stroke prevention in patients with AIS/TIA and more severe BG-EPVS.

关键词： patients haemorrhagic prevention

A Transformer-Based Ensemble Framework for the Prediction of Protein-Protein Interaction Sites

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Research 2024年第2期2023卷 703-718页

作者： Minjie Mou Ziqi Pan Zhimeng Zhou Lingyan Zheng Hanyu Zhang Shuiyang Shi Fengcheng Li Xiuna Sun Feng Zhu College of Pharmaceutical Sciences The Second Affliated HospitalZhejiang University School of MedicineNational Key Laboratory of Advanced Drug Delivery and Release SystemsZhejiang UniversityHangzhou 310058China Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University Alibaba-Zhejiang University Joint Research Center of Future Digital HealthcareHangzhou 330110China

The identification of protein-protein interaction (PPI) sites is essential in the research of protein function and the discovery of new drugs. So far, a variety of computational tools based on machine learning have been developed to accelerate the identification of PPI sites. However, existing methods suffer from the low predictive accuracy or the limited scope of application. Specifically, some methods learned only global or local sequential features, leading to low predictive accuracy, while others achieved improved performance by extracting residue interactions from structures but were limited in their application scope for the serious dependence on precise structure information. There is an urgent need to develop a method that integrates comprehensive information to realize proteome-wide accurate profiling of PPI sites. Herein, a novel ensemble framework for PPI sites prediction, EnsemPPIS, was therefore proposed based on transformer and gated convolutional networks. EnsemPPIS can effectively capture not only global and local patterns but also residue interactions. Specifically, EnsemPPIS was unique in (a) extracting residue interactions from protein sequences with transformer and (b) further integrating global and local sequential features with the ensemble learning strategy. Compared with various existing methods, EnsemPPIS exhibited either superior performance or broader applicability on multiple PPI sites prediction tasks. Moreover, pattern analysis based on the interpretability of EnsemPPIS demonstrated that EnsemPPIS was fully capable of learning residue interactions within the local structure of PPI sites using only sequence information. The web server of EnsemPPIS is freely available at http://***/ensemppis.

关键词： residue extracting ensemble

Metal nanoparticles for cancer therapy:Precision targeting of DNA damage

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Acta Pharmaceutica Sinica B 2024年第3期14卷 1132-1149页

作者： Qian Chen Chunyan Fang Fan Xia Qiyue Wang Fangyuan Li Daishun Ling Institute of Pharmaceutics Hangzhou Institute of Innovative MedicineCollege of Pharmaceutical SciencesZhejiang UniversityHangzhou 310058China Frontiers Science Center for Transformative Molecules School of Chemistry and Chemical EngineeringNational Center for Translational MedicineShanghai Jiao Tong UniversityShanghai 200240China World Laureates Association(WLA)Laboratories Shanghai 201203China Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province Hangzhou 310009China

Cancer,a complex and heterogeneous disease,arises from genomic ***,DNA damage-based cancer treatments,including radiotherapy and chemotherapy,are employed in clinical ***,the efficacy and safety of these therapies are constrained by various factors,limiting their ability to meet current clinical *** nanoparticles present promising avenues for enhancing each critical aspect of DNA damage-based cancer *** customizable physicochemical properties enable the development of targeted and personalized treatment *** this review,we delve into the design principles and optimization strategies of metal *** shed light on the limitations of DNA damage-based therapy while highlighting the diverse strategies made possible by metal *** encompass targeted drug delivery,inhibition of DNA repair mechanisms,induction of cell death,and the cascading immune ***,we explore the pivotal role of physicochemical factors such as nanoparticle size,stimuli-responsiveness,and surface modification in shaping metal nanoparticle ***,we present insights into the challenges and future directions of metal nanoparticles in advancing DNA damage-based cancer therapy,paving the way for novel treatment paradigms.

关键词： DNA damage Metal nanoparticles Nucleus-targeting DNA repair inhibition Immune response Size optimization Stimuli-responsiveness Surface modification

Photoelectrocatalytic hydrogen evolution and synchronous degradation of organic pollutants by pg-C_(3)N_(4)/β-FeOOH S-scheme heterojunction

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Science China(Technological Sciences) 2024年第4期67卷 1238-1252页

作者： LI XiBao HAN Tao ZHOU YingTang XIE Yu LUO YiDan HUANG JunTong CHEN Zhi DENG Fang School of Materials Science and Engineering Nanchang Hangkong UniversityNanchang 330063China National-Local Joint Engineering Research Center of Heavy Metal Pollutants Control and Resource Utilization Nanchang Hangkong UniversityNanchang 330063China Zhejiang Key Laboratory of Petrochemical Environmental Pollution Control National Engineering Research Center for Marine AquacultureMarine Science and Technology CollegeZhejiang Ocean UniversityZhoushan 316022China

Crafting photoelectrocatalytic materials with robust oxidation-reduction properties for simultaneous hydrogen evolution and pollutant degradation poses a formidable *** this study,a pg-C_(3)N_(4)/β-FeOOH S-scheme heterostructure with a special energy band structure was developed by anchoring porous pg-C_(3)N_(4)on needle shapedβ-*** as a hole extraction layer,needle-leaf-likeβ-FeOOH can facilitate efficient hole migration and enhance charge ***,the optimized 0.2-pg-C_(3)N_(4)/β-FeOOH could degrade 78%of ofloxacin(OFLO)in 90 *** organic pollutants could absorb a large number of holes,which prompted a greater proportion of photogenerated electrons to actively participate in the hydrogen evolution reaction at the ***,the hydrogen production of 0.2-pg-C_(3)N_(4)/β-FeOOH reached 1452.88μmol cm^(-2)h^(-1),exhibiting a notable increase of 61.81-165.12μmol cm^(-2)h^(-1)compared with that in the absence of *** and theoretical calculation results underscore that this investigation is grounded in a distinctive electron and hole dual channel transfer *** findings offer novel insights for the future development of S-scheme heterojunction photoelectrocatalytic materials capable of concurrently degrading pollutants and promoting hydrogen evolution.

关键词： photoelectrocatalysis hydrogen evolution degradation synchronous S-scheme heterojunction

多功能离子液体用于延长钙钛矿光伏前驱体溶液的有效期（英文）

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Science China Materials 2024年

作者：徐亚洲徐凯琴肖书琴邢直李灯学李宗彩胡笑添陈义旺胡婷 College of Chemistry and Chemical Engineering/Film Energy Chemistry for Jiangxi Provincial Key Laboratory (FEC) Nanchang University Department of Polymer Materials and Engineering School of Physics and Materials Science Nanchang University Peking University Yangtze Delta Institute of Optoelectronics Key Laboratory of Fluorine and Silicon for Energy Materials and Chemistry of Ministry of Education Jiangxi Normal University

目前,钙钛矿太阳能电池的发展非常迅速,但其稳定性差的问题仍有待解决.稳定的前驱体溶液对于大规模制备高质量的钙钛矿薄膜至关重要.本文通过使用多功能离子液体1-n-丁基-3-甲基咪唑啉,二-n-丁基磷酸盐（BMIMBP）作为抗老化添加剂,成功...

目前,钙钛矿太阳能电池的发展非常迅速,但其稳定性差的问题仍有待解决.稳定的前驱体溶液对于大规模制备高质量的钙钛矿薄膜至关重要.本文通过使用多功能离子液体1-n-丁基-3-甲基咪唑啉,二-n-丁基磷酸盐（BMIMBP）作为抗老化添加剂,成功地开发了一种提高前驱体溶液的长期稳定性和电池性能的策略. BP-可以通过多种化学键抑制I-和FA+的反应性,从而提高前驱体溶液的稳定性.此外,带有胺基的BMIM+可以在内部形成二维钙钛矿,增强了器件的稳定性.本文为稳定钙钛矿太阳电池的商业化应用提供了一类行之有效的方法.

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