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嫁接对瓠瓜抗病抗逆性及果实品质的影响

核农学报 2025年第1期39卷 191-200页

作者：王海燕汪颖王尖邢乃林李国景徐沛吴晓花中国计量大学生命科学学院浙江杭州310018 浙江省农业科学院蔬菜研究所浙江杭州310021 宁波市特色园艺作物品质调控和抗性育种重点实验室浙江宁波315040

为探究嫁接对瓠瓜抗病抗逆性和果实品质的影响,以瓠瓜自根苗为对照,比较4种南瓜型砧木(全能铁甲、思壮12、砧西316、黑武士)嫁接浙蒲9号瓠瓜的成活率、枯萎病抗性、低温弱光性及耐盐性、果实品质等差异,并通过主成分分析及隶属函数法对... 详细信息

为探究嫁接对瓠瓜抗病抗逆性和果实品质的影响,以瓠瓜自根苗为对照,比较4种南瓜型砧木(全能铁甲、思壮12、砧西316、黑武士)嫁接浙蒲9号瓠瓜的成活率、枯萎病抗性、低温弱光性及耐盐性、果实品质等差异,并通过主成分分析及隶属函数法对不同嫁接组合进行综合评价。结果表明,浙蒲9号/思壮12嫁接组合的成活率最高(94.87%),不同砧穗组合枯萎病抗性均较对照增强。浙蒲9号/思壮12在低温弱光下的最大光化学效率(Fv/Fm)最高,在200 mmol·L^(-1)NaCl胁迫下生长较好。与自根苗相比,嫁接植株长势均变旺,果实的维生素C含量降低,其他指标均有不同程度的提升。浙蒲9号/全能铁甲的果实可溶性固形物含量最高,浙蒲9号/砧西316的果实钙含量最高,浙蒲9号/黑武士的果实蛋白质和镁含量最高。浙蒲9号/思壮12的产量、果实游离谷氨酸和钾含量最高,硬度和可滴定酸含量最小,瓠瓜品质有所提升。同时,主成分分析和隶属函数值综合评价结果表明,浙蒲9号/思壮12的D值为0.914,排名第一。综上,嫁接可以增强瓠瓜枯萎病抗性,不同程度提高瓠瓜的低温、盐胁迫耐受性,合理选择砧木可提高瓠瓜果实品质,以思壮12为砧木嫁接浙蒲9号瓠瓜综合表现最佳。本研究结果为适宜瓠瓜嫁接砧木的选择提供了技术支持。

关键词：瓠瓜嫁接抗病抗逆性果实品质综合评价

LINEAR REGRESSION OF INTERVAL-VALUED DATA BASED ON COMPLETE INFORMATION IN HYPERCUBES

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Journal of Systems Science and Systems Engineering 2012年第4期21卷 422-442页

作者： Huiwen wang rong GUAN Junjie wu Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operations School of Economics and ManagementBeihang University

Recent years have witnessed an increasing interest in interval-valued data analysis. As one of the core topics, linear regression attracts particular attention. It attempts to model the relationship between one or more explanatory variables and a response variable by fitting a linear equation to the interval-valued observations. Despite of the well-known methods such as CM, CRM and CCRM proposed in the literature, further study is still needed to build a regression model that can capture the complete information in interval-valued observations. To this end, in this paper, we propose the novel Complete Information Method （CIM） for linear regression modeling. By dividing hypercubes into informative grid data, CIM defines the inner product of interval-valued variables, and transforms the regression modeling into the computation of some inner products. Experiments on both the synthetic and real-world data sets demonstrate the merits of CIM in modeling interval-valued data, and avoiding the mathematical incoherence introduced by CM and CRM.

关键词： Interval-valued data linear regression complete information method (CIM) hypercubes

Interpretable Tourism Demand Forecasting with Two-Stage Decomposition and Temporal Fusion Transformers

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Journal of Systems Science & Complexity 2024年第6期37卷 2654-2679页

作者： wu Binrong wang Lin ZENG Yu-rong Business School Hohai UniversityNanjing 211100China School of Management Huazhong University of Science and TechnologyWuhan 430074China School of Information Engineering Hubei University of EconomicsWuhan 430205China

This paper proposes a novel interpretable tourism demand forecasting framework that considers the impact of the COVID-19 pandemic by using multi-source heterogeneous data,namely,historical tourism volume,newly confirmed cases in tourist origins and destinations,and search engine *** paper introduces newly confirmed cases in tourist origins and tourist destinations to forecast tourism demand and proposes a new two-stage decomposition method called ensemble empirical mode decomposition-variational mode decomposition to deal with the tourist arrival *** solve the problem of insufficient interpretability of existing tourism demand forecasting,this paper also proposes a novel interpretable tourism demand forecasting model called JADE-TFT,which utilizes an adaptive differential evolution algorithm with external archiving(JADE)to intelligently and efficiently optimize the hyperparameters of temporal fusion transformers(TFT).The validity of the proposed prediction framework is verified by actual cases based on Hainan and Macao tourism data *** interpretable experimental results show that newly confirmed cases in tourist origins and tourist destinations can better reflect tourists'concerns about travel in the post-pandemic era,and the two-stage decomposition method can effectively identify the inflection point of tourism prediction,thereby increasing the prediction accuracy of tourism demand.

关键词： COVID-19 interpretable deep learning search engine data tourism demand forecasting

Direct and rapid detection of serum amino acid and monoamine neurotransmitters to assist the diagnosis of panic disorder

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Science China Chemistry 2025年第1期 377-384页

作者： Shiwen Liu Xuerui Wan Meng Zhao Jiaqi wang Weilan wu Linlin You Yonggui Yuan Qian Xu rong Gao Key Laboratory of Environmental Medicine Engineering Ministry of Education School of Public Health Southeast University Key Laboratory of Modern Toxicology of Ministry of Education Department of Hygienic Analysis and Detection School of Public HealthNanjing Medical University Department of Psychosomatics and Psychiatry Zhongda Hospital School of Medicine Southeast University

The measurement of amino acid and monoamine neurotransmitters（NTs） in serum plays a central role in the identification and monitoring of clinical panic disorder（PD）. However, the strong polarity and chemical heterogeneity of NTs make direct extraction and rapid detection extremely challenging. Herein, we developed a strategy that integrated solid phase extraction based on magnetic Fe3O4coated with polydopamine（Fe3O4@PDA） and direct analysis of mass spectrometry in real time（DART-MS） for quantification of 10 NTs. We systematically investigated the optimal conditions of this strategy to achieve good accuracy and precision. Compared with existing magnetic solid phase extraction methods for NTs detection in biological samples, this strategy could adsorb more targets while having similar adsorption efficiencies, and the total process time was reduced by an average of 69.42%. We rapidly determined the metabolic abnormality of 6 types of NTs in the serum of PD patients and demonstrated their diagnostic accuracy. In addition, an outstanding feature of PD in which tryptophan was more metabolized by the KYN pathway and the 5-hydroxytryptamine pathway was inhibited could be elucidated by this strategy. Our results highlighted the potential ability of Fe3O4@PDA coupled with DART-MS to assist in the clinical diagnosis of PD.

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Bimetallic MOF derived nickel nanoclusters supported by nitrogendoped carbon for efficient electrocatalytic CO_(2)reduction

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Nano Research 2023年第4期16卷 4546-4553页

作者： Haojing wang Xiaodong wu Guanyu Liu Shuyang wu rong Xu School of Chemical and Biomedical Engineering Nanyang Technological UniversitySingapore 637459Singapore College of Materials Science and Engineering Nanjing Tech UniversityNanjing 210009China Cambridge Centre for Advanced Research and Education in Singapore(CARES) Singapore 138602Singapore

Utilizing electrocatalytic CO_(2)reduction(ECR)to decrease the carbon footprint has been regarded as a promising ***,we report the synthesis of Ni nanoclusters(NCs)of below 2 nm highly dispersed on N-doped carbon using a Ni/Zn bimetallic metal-organic framework(MOF)*** size and the content of the Ni catalyst can be effectively controlled by varying the Ni:Zn ratio in MOF ***-NH2 group in MOF ligand critically influences the size of Ni catalyst,as well as the property of the carbon *** the optimum ratio of 1:150,Ni NCs with an average size of 1.9 nm anchored on pyridinic N-rich carbon were obtained after MOF *** resultant catalyst exhibits a high Faradaic efficiency for CO(FECO,98.7%)and considerable partial current density for CO(JCO,−40.4 mA·cm^(−2))at−0.88 V versus reversible hydrogen electrode(RHE).Benefiting from the synergistic effect of small Ni clusters and their optimal interaction with the carbon support,the catalyst displays exceptional long-term *** functional theory(DFT)calculations carried out for the three model structures confirm that Ni NCs anchored on N-doped carbon facilitate the easier formation of*COOH intermediate and faster electron transfer rate compared with the large-sized Ni particles represented by Ni(111)and the N-doped carbon without Ni.

关键词： electrochemical CO_(2)reduction metal-organic framework N-doped carbon nanocluster

Solving quantified constraint satisfaction problems with value selection rules

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Frontiers of Computer Science 2020年第5期14卷 153-163页

作者： Jian Gao Jinyan wang Kuixian wu rong Chen College of Information Science and Technology Dalian Maritime UniversityDalian116026China Logistics Research Institute Dalian Maritime UniversityDalian116026China College of Computer Science and Information Engineering Guangxi Normal UniversityGuilin541004China

Solving a quantified constraint satisfaction problem(QCSP)is usually a hard task due to its computational *** algorithms play an important role in solving this problem,among which backtrack algorithms are *** a backtrack algorithm,an important step is assigning a variable by a chosen value when exploiting a branch,and thus a good value selection rule may speed up *** this paper,we propose two value selection rules for existentially and universally quantified variables,respectively,to avoid unnecessary *** rule for universally quantified variables is prior to trying failure values in previous branches,and the rule for existentially quantified variables selects the promising values *** rules are integrated into the state-of-the-art QCSP solver,i.e.,QCSP-Solve,which is an exact solver based on *** perform a number of experiments to evaluate improvements brought by our *** computational results,we can conclude that the new value selection rules speed up the solver by 5 times on average and 30 times at *** also show both rules perform well particularly on instances with existentially and universally quantified variables occurring alternatively.

关键词： quantified CSP backtracking value selection fail-first principle

High-Throughput physiology-based stress response phenotyping:Advantages,applications and prospective in horticultural plants

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Horticultural Plant Journal 2021年第3期7卷 181-187页

作者： Yanwei Li Xinyi wu Wenzhao Xu Yudong Sun Ying wang guojing Li Pei Xu Institute of Vegetables Zhejiang Academy of Agricultural SciencesHangzhou 310021China College of Life Sciences China Jiliang UniversityHangzhou 310018China Huaiyin Institute of Agricultural Sciences of Xuhuai Region in Jiangsu Jiangsu 223001China

Phenomics is a new branch of science that provides high-throughput quantification of plant and animal traits at systems *** last decade has witnessed great successes in high-throughput phenotyping of numerous morphological traits,yet major challenges still exist in precise phenotyping of physiological traits such as transpiration and *** to the highly dynamic nature of physiological traits in responses to the environment,appropriate selection criteria and efficient screening systems at the physiological level for abiotic stress tolerance have been largely absent in *** this review,the current status of phenomics techniques was briefly summarized in horticultural ***,the emerging field of high-throughput physiology-based phenotyping,which is referred to as“physiolomics”,for drought stress responseswas *** addition to analyzing the advantages of physiology-based phenotyping overmorphology-based approaches,recent examples that applied high-throughput physiological phenotyping to model and non-model horticultural plants were revisited and *** on the collective findings,we propose that high-throughput,non-destructive,and automatic physiological assays can and should be used as routine methods for phenotyping stress response traits in horticultural plants.

关键词： Phenomics Physiolomics Isohydric/anisohydric Abiotic stress

Cooperative transmission in delay tolerant network

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Journal of Systems Engineering and Electronics 2019年第1期30卷 30-36页

作者： wang rong wu Yahui HUANG Hongbin DENG Su Science and Technology on Information Systems Engineering Laboratory National University of Defense Technology

The delay tolerant network(DTN) is an emerging concept, which is used to describe the network, where the communication link may disrupt frequently. To cope with this problem, the DTN uses the store-carry-forward(SCF) transmission mode. With this policy, the messages in the DTN are transmitted based on the nodes' cooperation. However, the nodes may be selfish, so the source has to pay certain rewards for others to get their help. This paper studies the optimal incentive policy to maximize the source's final utility. First, it models the message spreading process as several ordinary differential equations(ODEs) based on the meanfield approximation. Then, it mathematically gets the optimal policy and explores the structure of the policy. Finally, it checks the accuracy of the ODEs model and shows the advantages of the optimal policy through simulation and theoretical results respectively.

关键词： delay tolerant network (DTN) optimal control message transmission.

Magnetic properties of α-Fe_2O_3 nanopallets

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Rare Metals 2019年第1期38卷 14-19页

作者： Ying-Ying Xu Long wang Tong wu rong-Ming wang Beijing Key Laboratory for Magneto-Photoelectrical Composite and Interface Science School of Mathematics and PhysicsUniversity of Science and Technology Beijing Department of Equipment Manufacture Zhongshan Torch Polytechnic Division of Energy and Environmental Measurement National Institute of Metrology

It is the result of a systemic study about uniform hematite nanopallets with length of about 100 nm, width of about 30 nm, and thickness of less than 10 nm. The sample has superparamagnetic(SPM) properties above the blocking temperature of ～16 K. The temperature dependence of magnetization was well fitted by Bloch T^(3/2) law considering the dipolar interaction of the particles. The field dependence of magnetization was fitted with revised Langevin *** magnetization of the weak ferromagnetic(WF) canted spins contributes to the linear portion in the high field region;the surface uncompensated spins and the parasitic ferromagnetic moments due to the canted spins both contribute to the particle moments and the superparamagnetic behavior.

关键词： α-Fe2O3 nanopallets Magnetic property Superparamagnetic behavior Canted spins