检索结果-南通市图书馆

Stigma-Specific Comparative Proteomic Analysis Reveals the distyly Response to Self-Incompatibility in Plumbago auriculata Lam

引用

Phyton-International Journal of Experimental Botany 2024年第4期93卷 681-697页

作者： di hu Shouli Yi di Lin Suping Gao Ting Lei Wenji Li Tingdan Xu Songlin Jiang School of Fine Arts and Calligraphy Sichuan Normal UniversityChengdu610000China Sichuan Certification and Accreditation Association Chengdu610000China College of Landscape Architecture Sichuan Agricultural UniversityChengdu610000China School of Design Chongqing Industry Polytechnic CollegeChongqing401120China

In plants,heteromorphic self-incompatibility(HetSI)is a strategy for avoiding self-pollination and promoting outcrossing,and during this process,numerous protein-protein interaction events occur between the pistil and pollen.Previous studies in Primula and Fagopyrum that focused on HetSI systems have provided interesting insights;however,the molecular mechanism underlying HetSI remains largely unknown.In this study,we profiled the proteome of Plumbago auriculata stigmas before and after self-incompatible(SI)and self-compatible(SC)pollination.Comparative analyses were conducted by 4D-diA(Four-dimensional data independent acquisition),a promising technology that increases the sensitivity and reduces the spectral complexity of proteomic analysis by adding a fourth dimension,ion mobility.The results revealed 33387 peptides and 5311 proteins in all samples.The pathways in which the differentially expressed proteins(DEPs)identified in the P×P(Pin style self-pollinated with pin pollen)vs.PS(Pin style)and T×T(Thrum style self-pollinated with thrum pollen)vs.TS(Thrum style)comparisons were significantly enriched were biosynthesis of secondary metabolites and pentose and glucuronate interconversions.In the P×T(Pin style cross-pollinated with thrum pollen)vs.PS and T×P(Thrum style cross-pollinated with pin pollen)vs.TS comparison,the top three pathways were biosynthesis of secondary metabolites,pentose and glucuronate interconversions,and phenylpropanoid biosynthesis.The phenylpropanoid biosynthesis,cutin,suberine and wax biosynthesis,and flavonoid biosynthesis pathways were enriched in the P×T vs.P×P comparison,and starch and sucrose metabolism,glycerophospholipid metabolism,and alpha-linolenic acid metabolism were abundant in the T×T vs.T×P comparison.The enriched pathways between PS and TS were the biosynthesis of secondary metabolites,phenylpropanoid biosynthesis,and pentose and glucuronate interconversion.Self-incompatibility protein S1(SI S1),Mitogen-activated protein kinase 3/4(MPK3/4),Mitogen-activated protein kinas

关键词： Heteromorphic self-incompatibility Plumbago auriculata proteomics 4D-diA

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Structural characteristics and drivers of greenhouse gas emissions at county-level and long-time scales:A case study of the Anji County,China

引用

Journal of Environmental Sciences 2024年第6期140卷 319-330页

作者： Zhouxiang Cai Liting hu di Chen Ying Zhang Xuekun Fang College of Environmental&Resource Sciences Zhejiang UniversityHangzhou 310058China Center for Global Change Science Massachusetts Institute of TechnologyCambridgeMA 02139United States Anji Meteorological Bureau Anji 313300China

To achieve carbon neutrality,the Chinese government needs to gain a comprehensive understanding of the sources and drivers of greenhouse gas(GHG)emissions,particularly at the county level.Anji County in eastern China is a typical example of an industrial transformation from quarrying to a low-carbon economy.This study analyzed the decoupling types and structural characteristics of GHG emissions and the driving factors of carbon dioxide(CO_(2))emissions in the Anji from 2006 to 2019,and explored the differences between countylevel and provincial-level or city-level results.It was observed that energy-related activities are the main source of GHG emissions in Anji and that economic development is the driving factor behind the increasing CO_(2)emissions.However,industrial transformation and upgradation coupled with the alternative use of clean energy limit the growth of GHG emissions.This study details the GHG emissions of county during the industrial transformation stage and provides corresponding policy recommendations for county governments.

关键词： County GHG emissions Decoupling Driving factors Policy recommendations

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Efficient degradation of aqueous dichloromethane by an enhanced microbial electrolysis cell:Degradation kinetics,microbial community and metabolic mechanisms

引用

Journal of Environmental Sciences 2024年第5期139卷 150-159页

作者： Meng Wu di Zhao Bing Gu ZiruWang Jun hu Zhiliang Yu Jianming Yu College of Environment College of Biotechnology and BioengineeringCollaborative Innovation Center of Yangtze River Delta Region Green PharmaceuticalsZhejiang University of TechnologyHangzhou 310014China Shentuo Environment(Hangzhou)Co.Ltd. Hangzhou 311121China Zhejiang Tianyi Environmental Co.Ltd. Hangzhou 310000China

dichloromethane(DCM)has been listed as a toxic and harmful water pollutant,and its re moval needs attention.Microbial electrolysis cells(MECs)are viewed as a promising alterna tive for pollutant removal,which can be strengthened from two aspects:microbial inocula tion and acclimation.In this study,the MEC for DCM degradation was inoculated with the ac tive sludge enhanced by Methylobacterium rhodesianum H13(strain H13)and then acclimated in the form of a microbial fuel cell(MFC).Both the introduction of strain H13 and the initi ation in MFC form significantly promoted DCM degradation.The degradation kinetics were fitted by the Haldane model,with V_(max),K_(h),K_(i)and v_(max)values of 103.2 mg/L/hr,97.8 mg/L268.3 mg/L and 44.7 mg/L/hr/cm^(2),respectively.The cyclic voltammogram implies that DCM redox reactions became easier with the setup of MEC,and the electrochemical impedance spectrogram shows that the acclimated and enriched microbes reduced the charge transfe resistance from the electrode to the electrolyte.In the biofilm,the dominant genera shifted from Geobacter to Hyphomicrobium in acclimation stages.Moreover,Methylobacterium played an increasingly important role.DCM metabolism mainly occurred through the hydrolytic glutathione S-transferase pathway,given that the gene dcmA was identified rather than the dhlA and P450/MO.The exogenous electrons facilitated the reduction of GSSG,directly o indirectly accelerating the GSH-catalyzed dehalogenation.This study provides support fo the construction of an efficient and stable MEC for DCM removal in water environment.

关键词： dichloromethane Microbial electrolysis cells Metabolic pathways Electron transfer Degradation kinetics

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Electricity Theft Detection Method Based on Ensemble Learning and Prototype Learning

引用

Journal of Modern Power Systems and Clean Energy 2024年第1期12卷 213-224页

作者： Xinwu Sun Jiaxiang hu Zhenyuan Zhang di Cao Qi huang Zhe Chen Weihao hu the School of Mechanical and Electrical Engineering University of Electronic Science and Technology of ChinaChengduChina Southwest University of Science and TechnologyChengduChina

With the development of advanced metering infrastructure(AMI),large amounts of electricity consumption data can be collected for electricity theft detection.However,the imbalance of electricity consumption data is violent,which makes the training of detection model challenging.In this case,this paper proposes an electricity theft detection method based on ensemble learning and prototype learning,which has great performance on imbalanced dataset and abnormal data with different abnormal level.In this paper,convolutional neural network(CNN)and long short-term memory(LSTM)are employed to obtain abstract feature from electricity consumption data.After calculating the means of the abstract feature,the prototype per class is obtained,which is used to predict the labels of unknown samples.In the meanwhile,through training the network by different balanced subsets of training set,the prototype is representative.Compared with some mainstream methods including CNN,random forest(RF)and so on,the proposed method has been proved to effectively deal with the electricity theft detection when abnormal data only account for 2.5%and 1.25%of normal data.The results show that the proposed method outperforms other state-of-the-art methods.

关键词： Electricity theft detection ensemble learning prototype learning imbalanced dataset deep learning abnormal level

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Adolescent alcohol exposure changes RNA modifications in adult brain by mass spectrometry-based comprehensive profiling analysis

引用

Chinese Chemical Letters 2024年第1期35卷 461-464页

作者： Ying-Ying Chen Zhu Gui di hu Meng-Yuan Chen Jin-Gang He Si-Yu Yu Yu-Qi Feng Jie Wang Bi-Feng Yuan College of Chemistry and Molecular Sciences Research Center of Public HealthRenmin Hospital of Wuhan UniversityWuhan UniversityWuhan 430072China Department of Radiation and Medical Oncology Zhongnan Hospital of Wuhan UniversitySchool of Public HealthWuhan UniversityWuhan 430071China Cancer Precision diagnosis and Treatment and Translational Medicine hubei Engineering Research Center Zhongnan Hospital of Wuhan UniversityWuhan Research Center for Infectious Diseases and CancerChinese Academy of Medical SciencesWuhan 430071China Key Laboratory of Magnetic Resonance in Biological Systems State Key Laboratory of Magnetic Resonance and Atomic and Molecular PhysicsNational Center for Magnetic Resonance in WuhanWuhan Institute of Physics and MathematicsInnovation Academy for Precision Measurement Science and TechnologyChinese Academy of Sciences-Wuhan National Laboratory for OptoelectronicsWuhan 430071China Phase I Clinical Trial Laboratory Zhongnan Hospital of Wuhan UniversityWuhan 430071China Institute of Neuroscience and Brain diseases Xiangyang Central HospitalAffiliated Hospital of Hubei University of Arts and ScienceXiangyang 441000China University of Chinese Academy of Sciences Beijing 101408China

Alcohol consumption is one of the leading causes of death worldwide.Adolescence is a critical period of structural and functional maturation of the brain.Adolescent alcohol use can alter epigenetic modifications.However,little is known on the long-term effects of alcohol consumption during adolescence on RNA epigenetic modifications in brain.Herein,we systematically explored the long-term effects of alcohol exposure during adolescence on small RNA modifications in adult rat brain tissues by comprehensive liquid chromatography-electrospray ionization-tandem mass spectrometry(LC-ESI-MS/MS)analysis.We totally detected 26 modifications in small RNA of brain tissues.Notably,we observed most of these modifications were decreased in brain tissues.These results suggest that alcohol exposure during adolescence may impose a long-lasting impact on RNA modifications in brain tissues.This is the first report that alcohol use during adolescence can alter RNA modifications in adult brain.Collectively,this study suggests a long-term adverse effects of alcohol consumption on brain from RNA epigenetics angle by comprehensive mass spectrometry analysis.

关键词： Mass spectrometry RNA modification Adolescence Alcohol exposure Brain

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Streamflow abrupt change and the driving factors in glacierized basins of Tarim Basin,Northwest China

引用

Advances in Climate Change Research 2024年第1期15卷 75-89页

作者： Cheng-De YANG Min XU Shi-Chang KANG Cong-Sheng FU Wei ZHANG di-di hu State Key Laboratory of Cryospheric Science Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhou 730000China University of Chinese Academy of Sciences Beijing 100049China Key Laboratory of Watershed Geographic Sciences Nanjing Institute of Geography and LimnologyChinese Academy of SciencesNanjing 210000China

A climate transition towards warm-wet conditions in Northwest China has drawn much attention.With continuous climate change and universal glacier degradation,increasing water-related hazards and vulnerability have become one of the important problems facing the Tarim Basin.However,the impacts of the climate transition on streamflow abrupt change and extreme hydrological events were less discussed,especially in glacial basins.In the present study,the discharge datasets in four glacial basins of Tarim Basin from 1979 to 2018 were constructed using the GRU-GSWAT+model first.The differences in streamflow characteristics,the shift of hydrological extreme pattern,and potential changes of the controlling factors before and after the abrupt changes were investigated.The results indicated that the abrupt change point(ACP)in streamflow occurred in 2000 in the Qarqan River Basin,2002 in the Weigan River Basin,and 1994 in the Aksu River Basin and the Yarkant River Basin.A general decrease in streamflow before the ACP has shifted to a notable upward trend in the Qarqan River Basin and the Aksu River Basin,while minor upward fluctuations were observed in other basins.Moreover,the hydrological characteristics in extreme events vary dramatically before and after the ACPs,characterized by a pronouncing shift from drought-dominant pattern to wet events dominated pattern.The driven climate factors have been altered after the ACPs with notable spatial heterogeneity,in which temperature remained as the dominant role in meltwater-dominated basins while the influence of precipitation has increased after the ACPs,whereas the sensitivity of temperature on streamflow change has been enhanced in basins dominated by precipitation such as the Qarqan River Basin.Owing to the evident warming-wetting trend and glacier compensation effect,both the inter-annual and intra-annual streamflow fluctuations can be efficiently smoothed in basins with a high glacier area ratio(GAR).These findings provide a further understanding of the abrupt change in st

关键词： Abrupt change Streamflow Hybrid model Tarim Basin Glacier

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

A Temporal Convolutional Network Based Hybrid Model for Short-term Electricity Price Forecasting

引用

CSEE Journal of Power and Energy Systems 2024年第3期10卷 1119-1130页

作者： Haoran Zhang Weihao hu di Cao Qi huang Zhe Chen Frede Blaabjerg School of Mechanical and Electrical Engineering University of Electronic Science and Technology of ChinaChengduChina Department of Energy Technology Aalborg UniversityAalborgDenmark IEEE

Electricity prices have complex features,such as high frequency,multiple seasonality,and nonlinearity.These factors will make the prediction of electricity prices difficult.However,accurate electricity price prediction is important for energy producers and consumers to develop bidding strategies.To improve the accuracy of prediction by using each algorithms’advantages,this paper proposes a hybrid model that uses the Empirical Mode Decomposition(EMD),Autoregressive Integrated Moving Average(ARIMA),and Temporal Convolutional Network(TCN).EMD is used to decompose the electricity prices into low and high frequency components.Low frequency components are forecasted by the ARIMA model and the high frequency series are predicted by the TCN model.Experimental results using the realistic electricity price data from Pennsylvania-New Jersey-Maryland(PJM)electricity markets show that the proposed method has a higher prediction accuracy than other single methods and hybrid methods.

关键词： Autoregressive integrated moving average model electricity price forecasting empirical mode decomposition temporal convolutional network

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Deep learning-based inpainting of saturation artifacts in optical coherence tomography images

引用

Journal of Innovative Optical Health Sciences 2024年第3期17卷 1-10页

作者： Muyun hu Zhuoqun Yuan di Yang Jingzhu Zhao Yanmei Liang Institute of Modern Optics Nankai UniversityTianjin Key Laboratory of Micro-scale Optical Information Science and TechnologyTianjin 300350China Department of Thyroid and Neck Tumor Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center for CancerKey Laboratory of Cancer Prevention and TherapyTianjin 300060China

Limited by the dynamic range of the detector,saturation artifacts usually occur in optical coherence tomography(OCT)imaging for high scattering media.The available methods are difficult to remove saturation artifacts and restore texture completely in OCT images.We proposed a deep learning-based inpainting method of saturation artifacts in this paper.The generation mechanism of saturation artifacts was analyzed,and experimental and simulated datasets were built based on the mechanism.Enhanced super-resolution generative adversarial networks were trained by the clear–saturated phantom image pairs.The perfect reconstructed results of experimental zebrafish and thyroid OCT images proved its feasibility,strong generalization,and robustness.

关键词： Optical coherence tomography saturation artifacts deep learning image inpainting.

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Integrated Planning of an Active distribution Network and DG Integration in Clusters Considering a Novel Formulation for Reliability Assessment

引用

CSEE Journal of Power and Energy Systems 2023年第2期9卷 561-576页

作者： di hu Lei Sun Ming ding School of Electrical Engineering and Automation Hefei University of TechnologyHefei 230009China Anhui Provincial Laboratory of Renewable Energy Utilization and Energy Saving Hefei University of TechnologyHefei 230009China

The concept of DG clusters is introduced with highly penetrated integration of distributed generation(DG)into active distribution networks(ADNs).DG clusters are referred to as parts of an ADN,including DGs,distribution lines and loads.The formation of DG clusters helps to optimally dispatch DG outputs within ADNs.In this regard,an integrated planning strategy of ADNs and DGs in cluster(IPNDGC)is proposed.In order to guarantee that the planning strategy meets the reliability requirements,a reliability assessment is considered in the proposed model.However,reliability assessment is generally accomplished according to a fixed network topology and known DG allocation,which makes it difficult to integrate reliability into planning models.To deal with this difficulty,a novel formulation method for reliability assessment is proposed considering the network topology uncertainties and isolated operating probabilities of DG clusters.The reliability index(RI)represented by expected customer interruption cost(ECOST)is employed in the proposed planning model.The planning model is formulated as a mixed integer second order conic programming planning model.An actual distribution system is employed to illustrate the accuracy and efficiency of the proposed planning model.

关键词： DG cluster distribution network planning reliability

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Evaluation of the binding affinity and antioxidant activity of phlorizin to pepsin and trypsin

引用

Food Science and human Wellness 2024年第1期13卷 392-400页

作者： Jing Zhang Lan Tang Xia hu Zhen Zeng Wen Wu Fang Geng hui Li di Wu Meat Processing Key Laboratory of Sichuan Province School of Food and Biological EngineeringChengdu UniversityChengdu 610106China School of Chemical Engineering Sichuan UniversityChengdu 610065China

Phlorizin(PHL)is a natural compound with strong antioxidant properties mainly found in apples.In this paper,the interaction mechanism of PHL with pepsin and trypsin was comparatively evaluated by computer simulation,fluorescence spectra,circular dichroism(CD),and Fourier transform infrared(FT-IR)spectra at a molecular level.Fluorescence spectra showed that PHL quenches the pepsin/trypsin by static quenching.Thermodynamic parameters indicated that PHL binds to pepsin mainly through hydrogen bonds and van der Waals forces,and that of trypsin was electrostatic forces.The ground state complexes PHL and protease have a moderate affinity of 105 L/mol PHL binds more strongly to trypsin than to pepsin.CD and FT-IR spectra results showed that pepsin/trypsin decreased theβ-sheet content and slightly changed its secondary structure upon PHL.These experimental results are mutually verified with the predicted computer-aid simulation results.Upon PHL and trypsin binding,the antioxidant capacity of PHL was elevated.Nevertheless,the antioxidant capacity of PHL was decreased after binding to pepsin.This work elucidates the binding of PHL binding mechanisms to pepsin/trypsin and provides useful information for the digestion of PHL to improve the application of PHL in food processing.

关键词： Interaction Phlorizin Pepsin Trypsin Antioxidation

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：