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Comparative transcriptome analysis of Ts(Resistant genotype)and Ma(Susceptible genotype)marigold(Tagetes erecta L.)leaves in response to Alternaria tagetica

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Horticultural Plant Journal 2023年第2期9卷 321-334页

作者： xi Cheng Dongliang Chen chang Luo Hua Liu Conglin Huang Institute of Grassland Flowers and EcologyBeijing Academy of Agriculture and Forestry SciencesBeijing 100097China Beijing Engineering Research Center of Functional Floriculture Beijing Academy of Agriculture and Forestry SciencesBeijing 100097China

Marigold black spot caused by Alternaria tagetica is a major disease that can decrease marigold production by 40%,resulting in serious economic *** this study,we identified many genes responsive to *** in the resistant and susceptible marigold *** of differentially expressed genes,expression trends,and a weighted gene co-expression network revealed a series of hub genes with key roles in different *** infection ***,1216 unigenes encoding transcription factors from eight families were differentially expressed between Ts and ***,R genes fromvarious families(e.g.,N,NL,RLP,and TNL)were differentially expressed in the twomarigold genotypes before and after the inoculation with *** diagrams were used to visualize the leaf transcriptional changes in the two marigold genotypes infected by *** to clarify the effects of *** on the expression patterns of genes involved in phosphatidylinositol signaling,plant–pathogen interactions,and plant hormone signal *** identified candidate genes related to disease resistance and generated valuable resources for analyzing the candidate gene functions related to black spot resistance in *** study data may be useful for the molecular marker-assisted screening and breeding of marigold lines with increased disease resistance.

关键词： Tagetes erecta Co-expression network Gene expression Black spot resistance Transcriptional modules

A Durable Catalyst for Vapor Phase Nitration of Benzene with Nitric Acid

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Chinese Chemical Letters 2002年第10期13卷 1013-1016页

作者： Peng zhou xin Ping WANG Tian xi CAI State Key Laboratory of Fine Chemicals School of Chemical EngineeringDalian University of TechnologyDalian 116012

Experimental results in this work demonstrate that PW12-H2SO4/SiO2 catalyst is a good and durable catalyst for vapor phase nitration of benzene to nitrobenzene (NB) using 65% nitric acid at normal pressure. It retains the advantages of using H2SO4 as catalyst and the addition of phosphotungstic acid holds back the effusion of sulfuric acid. This new catalyst keeps high activity (the conversion of HNO3 is more than 92%), high selectivity of NB (more than 97%) and high space time yield (STY 1.5 kg NB/kg cat.h) even after 150 h on stream, under condition of 423 K, SV=3200 ml/g h.

关键词： Nitration benzene solid acid nitric acid nitrobenzene.

Oxide transformation and break-up of liquid metal in boiling solutions

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Science China(Technological Sciences) 2020年第2期63卷 289-296页

作者： YANG Lixiang ZHAO xi XU Shuo LU YongYu chang Hao LIU Jing Beijing Key Laboratory of Cryo-Biomedical Engineering and Key Laboratory of Cryogenics Technical Institute of Physics and ChemistryChinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100039China Department of Biomedical Engineering School of MedicineTsinghua UniversityBeijing 100084China

The non-toxic gallium-based liquid metals(LMs) are promising for various newly emerging areas due to having excellent fluidity, high electrical and heat conductivity. However, the oxide layers often affect their applications. In this paper, we disclosed a straightforward boiling strategy to efficiently remove the oxide of LM in deionized water. Meanwhile such method was also demonstrated to be capable of quickly breaking up LM into droplets(mean 0.51 mm, SD 0.20 mm) in Na Cl solution,which has important value for manufacture purpose. According to the force analysis, surface tension of LM dominates the interaction between solution bubbles and LM under the same heating conditions. Then we characterized the surface morphology and compositions of LM droplets boiled(LMDB) using scanning electron microscope(SEM), X-ray diffraction(XRD) and Xray photoelectron spectroscopy(XPS) and tested the dynamic force between a rod and LMDB. It was shown that after being boiled in water, most of Ga2O3 was transformed to scattered α-Ga OOH nanorods which has less restriction to the deformation of LM and large resistance force(0.8 mN) was tested;otherwise, after boiled in Na Cl solution, more Ga2 O3 with contact patch structure reduces the surface resistance of LM(0.2 m N) and makes it to be broken up by bubbles. The different surface products are determined by the inhibition of hydrolysis of Ga3+by Na Cl solution. This study paved a simple way for oxide removal in neutral solution and mass production of LMD. It also suggests an efficient approach for exploring mechanisms of interactions between LM and bubbles, which is difficult to study otherwise in sonication.

关键词： liquid metal boiling solutions oxide transformation break-up hydrolysis inhibition

Nutrient Budget and Soil Nutrient Status in Greenhouse System

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Agricultural Sciences in China 2010年第6期9卷 871-879页

作者： YU Hai-ying LI Ting-xuan ZHANG xi-zhou College of Resources and Environmental Sciences Sichuan Agricultural University Ya'an 625014 P.R. China School of Geography Beijing Normal University Beijing 100875 P.R.China

This paper is based on nutrient budget and its effects on soil nutrient status in typical greenhouse system in China to provide a basis for raising the utilization rate of fertilizers and maintaining the sustainable development of agriculture in the *** investigating the management of 18 representative greenhouses in Shouguang,Shandong Province,China,and analyzing both the greenhouse and open field soil samples,the soil nutrient budget and the trend of nutrient accumulation and translocation in soils were thus *** results under greenhouse system showed that the average annual inputs of N,P2O5 and K2O were 4 088,3 655 and 3 437 kg ha-1,*** total inputs of N,P2O5 and K2O provided by chemical fertilizers which are the main source of soil nutrient were 63,61 and 66%,*** utilization rates of N,P2O5 and K2O were only 24,8,46% and the input ratio among N,P2O5 and K2O （1：0.9：0.8） was quite different from the uptake ratio （1：0.3：1.4）.It had caused the excess of N,P2O5 and K2O in the soil,and the theoretical surpluses were 3 214,3 401 and 2 322 kg ha-1,respectively,for N,P2O5 and *** level of the organic matter,total nitrogen,nitrate nitrogen,available phosphorus,and available potassium was increased substantially,and their maximum level was observed in the topsoil （0-20 cm） with an average value being 1.4,1.9,21.2,5.4,and 3.7 times higher than that of the open field soil,*** greenhouse soils showed leaching of the nutrients,especially NO3- which would cause a potential risk to the quality of groundwater in the *** is necessary to apply more organic manure and provide nutrients according to the crop requirements and soil fertility as it could not only produce high crop yield,but also be beneficial to balance the soil nutrient and improve the utilization rate of ***,there would be no significant surplus of nutrients which may leach out of soil to contaminate the environment.

关键词： greenhouse system fertilization nutrient budget soil nutrient status

Metadynamic recrystallization behaviors of SA508Gr.4N reactor pressure vessel steel during hot compressive deformation

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Journal of Iron and Steel Research International 2021年第1期28卷 46-57页

作者： Shi-bin Qiao Zheng-dong Liu xi-kou He chang-sheng xie Institute for Special Steels Central Iron and Steel Research InstituteBeijing 100081China Collaborative Innovation Centre of Steel Technology University of Science and Technology BeijingBeijing 100083China

The metadynamic recrystallization(MDRX)model is established,and the coefficients determined by multiple linear regression analysis are used to describe the microstructure evolution of SA508Gr.4N *** effects of compression temperature of 950–1150℃,strain rate of 0.001–0.1 s^(-1),pre-strain of 0.3–0.6,initial austenite grain size(IAGS)of 136–552 lm,and interval time of 1–300 s on the MDRX kinetics and microstructure evolution were analyzed,using twopass compression test method on Gleeble thermo-mechanical *** results show that MDRX kinetics and austenite grain size are strongly dependent on compression temperature and strain rate,MDRX volume fraction increases with increasing compression temperature and strain rate,and the grain size decreases with increasing strain rate and decreasing compression temperature,while less affected by the pre-strain and ***,the values predicted using MDRX model and the ones calculated from experiment are compared,and the results show that the proposed model can give a reasonable estimate of MDRX behavior for SA508Gr.4N steel.

关键词： SA508Gr.4N steel Metadynamic recrystallization Kinetic model Grain size model

高等农业院校教师参与农村科技服务的意愿及影响因素研究

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兵团教育学院学报 2025年第1期35卷 47-55页

作者：刘芬熊春林周曦蓉湖南农业大学东方科技学院湖南长沙410128 湖南农业大学公共管理与法学学院湖南长沙410128

从教师的个体特征、家庭特征、学科特征、参与动机、参与机会、参与能力6个维度提出研究假设,依据6所高等农业院校578名教师的调查数据,采用二元Logistic模型实证研究高等农业院校教师参与农村科技服务的意愿及影响因素。结果表明:表示... 详细信息

从教师的个体特征、家庭特征、学科特征、参与动机、参与机会、参与能力6个维度提出研究假设,依据6所高等农业院校578名教师的调查数据,采用二元Logistic模型实证研究高等农业院校教师参与农村科技服务的意愿及影响因素。结果表明:表示愿意参与农村科技服务的教师占72.7%;教师参与意愿受到教师的专业、家人支持力度、所在学科享有社会声誉与团队协作紧密等自身特征,获得职称晋升、社会赞誉、实现人生价值等参与动机,激励制度完善、组织体系健全、基地平台良好等参与机会,以及市场驾驭、沟通交往、自我调节等参与能力的影响。对此,应聚焦高等农业院校教师的实际需求,充分激发其内在动机,积极创造良好的机会,有效培养其综合能力,以提高教师参与农村科技服务的意愿,促使高等农业院校有效肩负起新时代科教兴农与农业农村现代化的使命担当。

关键词：高等农业院校教师参与意愿影响因素二元Logistic 科教兴农

Static recrystallization behavior of SA508Gr.4N reactor pressure vessel steel during hot compressive deformation

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Journal of Iron and Steel Research International 2021年第5期28卷 604-612页

作者： Shi-bin Qiao xi-kou He chang-sheng xie Zheng-dong Liu Institute for Special Steels Central Iron and Steel Research InstituteBeijing 100081China Collaborative Innovation Center of Steel Technology University of Science and Technology BeijingBeijing 100083China

The two-pass isothermal hot compression method was used to study the effect of different thermal deformation conditions on static recrystallization behavior in Ni-Cr-Mo series SA508Gr.4N low alloy steel with interval holding time ranging from 1 to 300 s,temperature ranging from 950 to 1150℃,strain rate ranging from 0.01 to 1 s^(-1),true strains ranging from 0.1 to 0.2,and initial austenite grain size ranging from 175 to 552μ*** can be concluded that the static recrystallization volume fraction gradually increases with the increase in the deformation temperature,strain rate,strain and pass interval,and the decrease in the initial grain size,which is mainly due to the increase in the deformation energy storage and ***,strain-induced grain boundary migration is the nucleation mechanism for static recrystallization of SA508Gr.4N low alloy *** on the stress-strain curve,the predicted value obtained from the established static recrystallization kinetics model is in good consistence with the experimental value,and the static recrystallization thermal activation energy of SA508Gr.4N steel was calculated as 264,225.99 J/mol.

关键词： Nuclear reactor pressure vessel Two-pass isothermal thermal compression Static recrystallization Kinetics model

Increased attention to snake images in cynomolgus monkeys: an eye-tracking study

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Zoological Research 2020年第1期41卷 32-38页

作者： Bo Zhang Zhi-Gang zhou Yin zhou Yong-chang Chen Guangxi Key Laboratory of Brain and Cognitive Neuroscience Guilin Medical UniversityGuilinGuangxi 541199China Yunnan Key Laboratory of Primate Biomedicine Research Institute of Primate Translational MedicineKunming University of Science and TechnologyKunmingYunnan 650500China

Previous studies have revealed faster detection of snake images in humans and non-human primates(NHPs),suggesting automatic detection of evolutionary fear-relevant ***,human studies have indicated that general fear-relevance rather than evolutionary relevance is more effective at capturing ***,the issue remains unclarified in ***,in the present study,we explored the attentional features of laboratory-reared monkeys to evolutionary and general fear-relevant stimuli(e.g.,images of snakes,capturing gloves).Eye-tracking technology was utilized to assess attentional features as it can provide more accurate latency and variables of viewing duration and frequency compared with visual search task(VST)and response latency adopted in previous *** addition,those with autism spectrum disorder(ASD)show abnormal attention to threatening stimuli,including snake *** syndrome(RTT)is considered a subcategory of ASD due to the display of autistic ***,the attentional features of RTT patients or animal models to such stimuli remain ***,we also investigated the issue in MECP2 gene-edited RTT *** influence of different cognitive loads on attention was further explored by presenting one,two,or four images to increase stimulus *** eye-tracking results revealed no significant differences between RTT and control monkeys,who all presented increased viewing(duration and frequency)of snake images but not of aversive stimuli compared with control images,thus suggesting attentional preference for evolutionary rather than general fear-relevant visual ***,the preference was only revealed in visual tasks composed of two or four images,suggesting its cognitive-load dependency.

关键词： Non-human primates Attention Snake Evolutionary relevance

基于卷积神经网络建立中药材自动识别的人工智能模型及应用程序

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中国全科医学 2025年第9期28卷 1128-1136页

作者：王甘红张子豪奚美娟夏开建周燕婷陈健江苏省常熟市中医院(常熟市新区医院)消化内科上海豪兄教育科技有限公司江苏省常熟市医学人工智能与大数据重点实验室江苏省常熟市第一人民医院消化内科

背景传统中药材检测手段依赖主观经验，难以满足中药材在准确分类与鉴别方面的需求。目的基于卷积神经网络（CNN）开发一款能够自动识别163种中药材的人工智能模型及电脑端应用程序。方法 2020年1月—2024年6月，采集了两个中药材数据... 详细信息

背景传统中药材检测手段依赖主观经验，难以满足中药材在准确分类与鉴别方面的需求。目的基于卷积神经网络（CNN）开发一款能够自动识别163种中药材的人工智能模型及电脑端应用程序。方法 2020年1月—2024年6月，采集了两个中药材数据集进行深度学习模型的训练、验证和测试，共包含163种中药材。通过准确率、灵敏度、特异度、精确率、受试者工作特征（ROC）曲线下面积（AUC）、F1分数等指标来衡量CNN模型的性能。在模型训练完成后，基于PyQt5技术开发了一款应用程序，供临床便携使用。结果本研究共纳入了276 767张图像，开发了EfficientNetB0、ResNet50、MobileNetV3、VGG19和ResNet18 5种模型，通过性能比较，EfficientNet＿B0模型在验证集上取得了最高的准确率（99.0%）和AUC(0.994 2)，被选为最佳模型。在测试集上，最佳模型对所有中药类别识别的准确率为99.0%、灵敏度为99.0%、特异度为100.0%、AUC为1.0，展现出良好的性能。结论基于卷积神经网络开发的深度学习模型能够快速准确地识别163种中药材，借助其高灵敏度的识别能力，为医师对中药材的鉴别提供有力辅助。

关键词：中药材模式识别,自动中药药材学应用程序人工智能 PyQt5 卷积神经网络

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