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Phenotype and mechanism analysis of plant dwarfing in pear regulated by abscisic acid

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Journal of Integrative Agriculture 2022年第5期21卷 1346-1356页

作者： LIU Jian-long ZHANG Chen-xiao LI Tong-tong liang cheng-lin YANG Ying-jie LI Ding-Li CUI Zhen-hua WANG Ran SONG Jian-kun College of Horticulture Qingdao Agricultural UniversityQingdao 266109P.R.China Haidu College Qingdao Agricultural UniversityLaiyang 265200P.R.China

Close planting of dwarf varieties is currently the main cultivation direction for pear trees,and the screening of excellent dwarf varieties is an important goal for *** this study,the dwarfing pear variety‘601D’and its vigorous mutant‘601T’were used to show their biological characteristics and further explore the dwarfing mechanism in‘601D’.The biological characteristics showed that‘601D’had a shorter internode length,a shorter and more compact tree body,thicker and broader leaves,lower stomata density,larger stomata size(dimension),and higher photosynthetic *** biological characteristics of‘601T’showed notable *** results of endogenous hormone tests indicated that the contents of abscisic acid(ABA),ABA-glucosyl ester,and GA_(4) were higher in‘601D’,but the trans-zeatin content was *** transcriptomic analysis,significant differences were found in the biosynthetic and metabolic pathways of *** transcription factors such as bHLH,WRKY,and homeobox also participated in the regulation of plant *** therefore examined three hormones with obvious differences with‘601T’,and found that only ABA could induce‘601T’to return to a dwarfing plant ***,we conclude that the dwarfing of‘601D’is caused by an excessive accumulation of *** study provides a new theoretical basis for breeding dwarf varieties.

关键词： dwarf pear phenotype abscisic acid transcriptomic analysis

“Zero‑Strain” NiNb_(2)O_(6) Fibers for All‑Climate Lithium Storage

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Nano-Micro Letters 2025年第1期17卷 348-360页

作者： Yan Zhao Qiang Yuan Liting Yang Guisheng liang Yifeng cheng Limin Wu Chunfu lin Renchao Che College of Physics Donghua UniversityShanghai 201620People’s Republic of China School of Materials Science and Engineering Institute of Materials for Energy and EnvironmentQingdao UniversityQingdao 266071People’s Republic of China Laboratory of Advanced Materials Shanghai Key Laboratory of Molecular Catalysis and Innovative MaterialsAcademy for Engineering&TechnologyFudan UniversityShanghai 200438People’s Republic of China Zhejiang Laboratory Hangzhou 311100People’s Republic of China Inner Mongolia University Hohhot 010021People’s Republic of China

Niobates are promising all-climate Li^(+)-storage anode material due to their fast charge transport,large specific capacities,and resistance to electrolyte ***,their moderate unit-cellvolume expansion(generally 5%–10%)during Li^(+)storage causes unsatisfactory long-term ***,“zero-strain”NiNb_(2)O_(6) fibers are explored as a new anode material with comprehensively good electrochemical *** Li^(+)storage,the expansion of electrochemical inactive NiO_(6) octahedra almost fully offsets the shrinkage of active NbO_(6) octahedra through reversible O *** superior volume-accommodation capability of the NiO_(6) layers guarantees the“zero-strain”behavior of NiNb_(2)O_(6) in a broad temperature range(0.53%//0.51%//0.74%at 25//−10//60℃),leading to the excellent cyclability of the NiNb_(2)O_(6) fibers(92.8%//99.2%//91.1%capacity retention after 1000//2000//1000 cycles at 10C and 25//−10//60℃).This NiNb_(2)O_(6) material further exhibits a large reversible capacity(300//184//318 mAh g−1 at 0.1C and 25//−10//60℃)and outstanding rate performance(10 to 0.5C capacity percentage of 64.3%//50.0%//65.4%at 25//−10//60℃).Therefore,the NiNb_(2)O_(6) fibers are especially suitable for large-capacity,fast-charging,long-life,and all-climate lithium-ion batteries.

关键词： NiNb_(2)O_(6)porous fiber “Zero-strain”mechanism Electrochemical property Harsh-temperature operation Operando characterization

Multi-model ensemble learning for battery state-of-health estimation:Recent advances and perspectives

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Journal of Energy Chemistry 2025年第1期100卷 739-759页

作者： Chuanping lin Jun Xu Delong Jiang Jiayang Hou Ying liang Zhongyue Zou Xuesong Mei State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Shaanxi Key Laboratory of Intelligent Robots School of Mechanical Engineering Xi'an Jiaotong University Department of Electrical Engineering and Automation Luoyang Institute of Science and Technology School of Mechanical Engineering Hangzhou Dianzi University

The burgeoning market for lithium-ion batteries has stimulated a growing need for more reliable battery performance monitoring. Accurate state-of-health(SOH) estimation is critical for ensuring battery operational performance. Despite numerous data-driven methods reported in existing research for battery SOH estimation, these methods often exhibit inconsistent performance across different application scenarios. To address this issue and overcome the performance limitations of individual data-driven models,integrating multiple models for SOH estimation has received considerable attention. Ensemble learning(EL) typically leverages the strengths of multiple base models to achieve more robust and accurate outputs. However, the lack of a clear review of current research hinders the further development of ensemble methods in SOH estimation. Therefore, this paper comprehensively reviews multi-model ensemble learning methods for battery SOH estimation. First, existing ensemble methods are systematically categorized into 6 classes based on their combination strategies. Different realizations and underlying connections are meticulously analyzed for each category of EL methods, highlighting distinctions, innovations, and typical applications. Subsequently, these ensemble methods are comprehensively compared in terms of base models, combination strategies, and publication trends. Evaluations across 6 dimensions underscore the outstanding performance of stacking-based ensemble methods. Following this, these ensemble methods are further inspected from the perspectives of weighted ensemble and diversity, aiming to inspire potential approaches for enhancing ensemble performance. Moreover, addressing challenges such as base model selection, measuring model robustness and uncertainty, and interpretability of ensemble models in practical applications is emphasized. Finally, future research prospects are outlined, specifically noting that deep learning ensemble is poised to advance ens

关键词： Lithium-ion battery State-of-health estimation Data-driven Machine learning Ensemble learning Ensemble diversity

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信息社会与信息的对称

广西师范学院学报（哲学社会科学版） 2005年第1期26卷 152-153页

作者：梁成林广西民族学院中文系广西南宁530006

　信息社会是以信息和知识产业为核心的社会。中国是一个后发展的国家,必须以信息化带动工业化,以工业化促进信息化。只有信息的对称才能在市场竞争中站稳脚根。中国由于历史原因和客观原因,社会信息不对称十分严重,负影响巨大,只有从... 详细信息

　信息社会是以信息和知识产业为核心的社会。中国是一个后发展的国家,必须以信息化带动工业化,以工业化促进信息化。只有信息的对称才能在市场竞争中站稳脚根。中国由于历史原因和客观原因,社会信息不对称十分严重,负影响巨大,只有从上到下从领导到群众都转变理念,认真采取对策,才能适应信息社会发展的要求。

关键词：信息社会信息对称知识产业信息化

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秘书工作必须与时俱进

广西师范学院学报（哲学社会科学版） 2007年第1期28卷 149-151页

作者：梁成林广西民族大学广西南宁530006

秘书和秘书工作是随着文字产生、阶级与国家的出现而出现的。秘书工作的发展变化也是随着社会的发展变化而变化的。从中国共产党的建立,到新中国的诞生,毛泽东、邓小平都从事过秘书工作,并为我国秘书工作的发展奠定了基石。我国加入WTO... 详细信息

秘书和秘书工作是随着文字产生、阶级与国家的出现而出现的。秘书工作的发展变化也是随着社会的发展变化而变化的。从中国共产党的建立,到新中国的诞生,毛泽东、邓小平都从事过秘书工作,并为我国秘书工作的发展奠定了基石。我国加入WTO后,秘书工作必须与时俱进,必须从思想观念、管理体制、技术、人才素质等多方面进行改革,才能使秘书工作为构建社会主义和谐社会和环境友好型社会发挥桥梁和纽带的作用。

关键词：新世纪秘书工作与时俱进作用

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档案管理系统构建研究

湖南城市学院学报（自然科学版） 2016年第2期25卷 131-132页

作者：梁程琳烟台职业学院山东烟台264670

利用计算机技术管理档案是档案管理的发展趋势。开发档案管理系统,解决管理过程中出现的问题,能促进档案管理技术的发展,节约资源。

关键词：计算机档案管理构建

计算机档案管理系统的应用领域及安全维护路径思考

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佳木斯职业学院学报 2015年第8期31卷 413-414页

作者：梁程琳烟台职业学院山东烟台264025

随着时代的发展与进步,计算机技术广泛的应用于多个领域中,极大的提升了工作效率和工作质量,计算机档案管理系统的出现,在一定程度上提升了我国档案管理管理工作效率。但是,网络运行中也可能遇到一些安全隐患,因此,为了有效应用计算技... 详细信息

随着时代的发展与进步,计算机技术广泛的应用于多个领域中,极大的提升了工作效率和工作质量,计算机档案管理系统的出现,在一定程度上提升了我国档案管理管理工作效率。但是,网络运行中也可能遇到一些安全隐患,因此,为了有效应用计算技术推动我国档案管理工作的发展,文章通过下文对相关方面的内容进行了分析与阐述,进而为有关单位及工作人员提供一定的借鉴作用。

关键词：计算机档案管理系统应用领域安全维护路径