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Functional characterization of TBL genes revealed the role of GhTBL7 and GhTBL58 in cotton fiber elongation

INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES 2023年第1期241卷 124571页

作者： Kabir, Nosheen Wang, xuwen Lu, Lili Qanmber, Ghulam Liu, Le Si, Aijun Zhang, Lian Cao, Wei Yang, Zuoren Yu, Yu Liu, zhao Zhengzhou Univ Sch Agr Sci State Key Lab Cotton Biol Zhengzhou Res Base Zhengzhou 450001 Henan Peoples R China Chinese Acad Agr Sci Inst Cotton Res State Key Lab Cotton Biol Anyang 455000 Henan Peoples R China Xinjiang Acad Agr & Reclamat Sci Cotton Res Inst Key Lab China Northwestern Inland Reg Minist Agr & Rural Affairs Shihezi 832003 Peoples R China Chinese Acad Agr Sci Western Agr Res Ctr Changji 831100 Peoples R China

TBL (Trichome Birefringence Like) gene family members are involved in trichome initiation and xylan acetylation in several plant species. In our research, we identified 102 TBLs from G. hirsutum. The phylogenetic tree classified TBL genes into five groups. Collinearity analysis of TBL genes indicated 136 paralogous gene pairs in G. hirsutum. Gene duplication indicated that WGD or segmental duplication contributed to the GhTBL gene family expansion. Promoter cis-elements of GhTBLs were related to growth and development, seed-specific regulation, light, and stress responses. GhTBL genes (GhTBL7, GhTBL15, GhTBL21, GhTBL25, GhTBL45, GhTBL54, GhTBL67, GhTBL72, and GhTBL77) exhibited upregulated response under exposure to cold, heat, NaCl, and PEG. GhTBL genes exhibited high expression during fiber development stages. Two GhTBL genes (GhTBL7 and GhTBL58) showed differential expression at 10 DPA fiber, as 10 DPA is a fast fiber elongation stage and fiber elongation is a very important stage of cotton fiber development. Subcellular localization of GhTBL7 and GhTBL58 revealed that these genes reside inside the cell membrane. Promoter GUS activity of GhTBL7 and GhTBL58 exhibited deep staining in roots. To further validate the role of these genes in cotton fiber elongation, we silenced these genes and observed a significant reduction in the fiber length at 10 DPA. In conclusion, the functional study of cell membrane-associated genes (GhTBL7 and GhTBL58) showed deep staining in root tissues and potential function during cotton fiber elongation at 10 DPA fiber.

关键词： G hirsutum TBL Fiber development Phylogenetic analysis Gene silencing

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The Modeling and Using Strategy for the Digital Twin in Process Planning

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IEEE ACCESS 2020年 8卷 41229-41245页

作者： zhao, Peng Liu, Jinfeng Jing, xuwen Tang, Mingming Sheng, Sushan Zhou, Honggen Liu, Xiaojun Jiangsu Univ Sci & Technol Dept Mech Engn Zhenjiang 212013 Jiangsu Peoples R China Southeast Univ Dept Mech Engn Nanjing Peoples R China

Process planning is the core of guiding process production and one of the most critical parts to realize intelligent manufacturing of products. In order to realize the monitoring, simulation, prediction and control of the physical space in the intelligent manufacturing mode, the digital twin technology is used to guide the process planning. This research describes a modeling method of digital twin process model (DTPM) for manufacturing process and the contents of DT data, discusses the acquisition method of real-time data and the management method of simulation data. Aiming at the data fusion between physical space and virtual space, a hierarchical model and mapping strategy for multi-source heterogeneous data in machining process are proposed to generate the DT data. Finally, the guidance and the visualization function in process planning of DTPM is analyzed, and the effectiveness of this method is verified by choosing the design process of a key component in a marine diesel engine.

关键词： Manufacturing Solid modeling Process planning Data models Three-dimensional displays Process design Digital twin DTPM process planning data perception simulation optimization

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基于Romax的卡车轮毂轴承单元游隙计算

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轴承 2023年第9期 24-27,38页

作者：蔡鹏飞赵旭恒张绪文县鹏宇甘肃海林中科科技股份有限公司甘肃天水741000 甘肃省轴承工程技术研究中心甘肃天水741000

游隙是卡车轮毂轴承单元的一项重要参数,针对传统理论与Romax仿真得到的游隙计算值差别较大的问题,以某轮毂轴承单元为研究对象,通过传统理论、Romax仿真进行轴承游隙计算,并搭建试验台进行实际测量验证,结果表明,基于Romax仿真得到的... 详细信息

游隙是卡车轮毂轴承单元的一项重要参数,针对传统理论与Romax仿真得到的游隙计算值差别较大的问题,以某轮毂轴承单元为研究对象,通过传统理论、Romax仿真进行轴承游隙计算,并搭建试验台进行实际测量验证,结果表明,基于Romax仿真得到的轴承游隙更接近实际测量值,说明可基于Romax仿真进行轮毂轴承单元游隙的计算。

关键词：滚动轴承轮毂轴承圆锥滚子轴承游隙配合过盈量

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n/γ双粒子反应深度探测器设计与性能表征

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核技术 2023年第7期46卷 53-60页

作者：赵冬梁旭文张荣华黑大千贾文宝单卿凌永生南京航空航天大学材料科学与技术学院南京210000 兰州大学核科学与技术学院兰州730000

n/γ射线双粒子反应深度(Depth of Interaction,DOI)探测器可以实现中子与γ射线甄别并记录粒子在探测器中的反应位置,在对特殊核材料等危险放射性物质的定位成像研究中发挥着重要作用。传统的放射性定位成像装置都依赖具有n/γ射线甄... 详细信息

n/γ射线双粒子反应深度(Depth of Interaction,DOI)探测器可以实现中子与γ射线甄别并记录粒子在探测器中的反应位置,在对特殊核材料等危险放射性物质的定位成像研究中发挥着重要作用。传统的放射性定位成像装置都依赖具有n/γ射线甄别能力的探测器阵列,从而导致成像测量装置结构复杂、成本高。针对此问题,设计了一种基于EJ276塑料闪烁体(Φ3 cm×15 cm)的双粒子反应深度探测器,采用硅光电倍增管在闪烁体两端进行信号读出,并综合利用两端信号幅度与飞行时间对比进行粒子反应位置确定。利用Am-Be中子源和137Cs γ源对探测器进行参数优化和分辨率刻度,结果显示:该探测器在灵敏区内探测效率均匀性较好,反应位置分辨率约4.4 cm。

关键词：反应深度探测器塑料闪烁体 n/γ甄别位置分辨率

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微生物燃料电池工作原理及产电性能提升策略

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环境工程技术学报 2024年第2期14卷 699-709页

作者：蒋进元张月何绪文谭伟宋浩洋石冬妮赵洪兵中国环境科学研究院环境污染控制工程技术研究中心中国矿业大学(北京)化学与环境工程学院四川省广元生态环境监测中心站

微生物燃料电池(MFC)是一种解决其他能源在环境方面不足的新技术,目前低能量输出是MFC实际应用的关键瓶颈。基于MFC工作原理,提出微生物活性差、电子迁移阻力、质子传输阻力及阴极还原反应缓慢是MFC能量输出的限制因素,并从以下5个方面... 详细信息

微生物燃料电池(MFC)是一种解决其他能源在环境方面不足的新技术,目前低能量输出是MFC实际应用的关键瓶颈。基于MFC工作原理,提出微生物活性差、电子迁移阻力、质子传输阻力及阴极还原反应缓慢是MFC能量输出的限制因素,并从以下5个方面综述了提升MFC产电性能策略:调节pH和选择最佳盐度,加强微生物代谢活性;改性阳极材料,降低电子迁移阻力;增强电解液电导率、优化隔膜材料及缩短电极间距减小质子传输阻力;制备高效阴极催化剂和选择优异电子受体加快阴极还原反应速率;改进MFC反应器构型,提高整体产电性能。未来,可在合成新型阴极催化剂、降低膜污染、优化微生物生长环境、制备优异的电极材料和改进MFC反应器配置5个方面开展重点研究。

关键词：微生物燃料电池(MFC) 产电性能输出功率微生物活性策略

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芬顿-臭氧氧化工艺用于工业园区污水处理厂技术改造

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水处理技术 2023年第7期49卷 137-141页

作者：刘娟沈军贾新强赵伟项绪文山东省环科院环境工程有限公司山东济南250013

山东某工业园污水处理厂主要处理工业废水和少量生活污水,因进水水量水质变化较大,进水和出水均超标较多。为了确保出水达标排放,新建调节池、事故池、芬顿池、臭氧接触池等对污水处理厂进行技术改造。技术改造后,CODcr、BOD5、SS、NH3-... 详细信息

山东某工业园污水处理厂主要处理工业废水和少量生活污水,因进水水量水质变化较大,进水和出水均超标较多。为了确保出水达标排放,新建调节池、事故池、芬顿池、臭氧接触池等对污水处理厂进行技术改造。技术改造后,CODcr、BOD5、SS、NH3-N、TN、TP去除率分别提升42.87%、92.71%、87.27%、52.34%、60.41%和63.63%,出水稳定达到《城镇污水处理厂污染物排放标准》(GB 18918-2002)一级A标准。

关键词：工业废水达标排放技术改造

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Arbidol/IFN-a2b therapy for patients with corona virus disease 2019: a retrospective multicenter cohort study

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MICROBES AND INFECTION 2020年第4-5期22卷 200-205页

作者： Xu, Ping Huang, Jianping Fan, zhao Huang, Wendi Qi, Minghua Lin, xuwen Song, Weidong Yi, Li Peking Univ Shenzhen Hosp Dept Resp & Crit Care Med Shenzhen 518036 Guangdong Peoples R China Hubei Jianli People Hosp Dept Infect Dis Jingzhou 433300 Hubei Peoples R China Peking Univ Dept Emergency Shenzhen Hosp Shenzhen Guangdong Peoples R China Peking Univ Dept Neurol Shenzhen Hosp 1120 Lianhua Rd Futian Area Shenzhen 518036 Guangdong Peoples R China

The spread of COVID-19 is accelerating. At present, there is no specific antiviral drugs for COVID-19 outbreak. This is a multicenter retrospective cohort study of patients with laboratory-confirmed COVID-19 infection pneumonia from 3 hospitals in Hubei and Guangdong province, 141 adults (aged ≥18 years) without ventilation were included. Combined group patients were given Arbidol and IFN-α2b, monotherapy group patients inhaled IFN-α2b for 10-14 days. Of 141 COVID-19 patients, baseline clinical and laboratory characteristics were similar between combined group and monotherapy group, that 30% of the patients leucocytes counts were below the normal range and 36.4% of the patients experienced lymphocytopenia. The duration of viral RNA of respiratory tract in the monotherapy group was not longer than that in the combined therapy group. There was no significant differences between two groups. The absorption of pneumonia in the combined group was faster than that in the monotherapy group. We inferred that Arbidol/IFN - 2 b therapy can be used as an effective method to improve the COVID-19 pneumonia of mild patients, although it helpless with accelerating the virus clearance. These results should be verified in a larger prospective randomized environment.

关键词： COVID-19 2019-nCoV Pneumonia Arbidol IFN-α2b Treatment RNA

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Intelligent generation method of 3D machining process based on process knowledge

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INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING 2020年第1期33卷 38-61页

作者： Jing, xuwen Zhu, Yuping Liu, Jinfeng Zhou, Honggen zhao, Peng Liu, Xiaojun Tian, Guizhong Ye, Hua Li, Qun Jiangsu Univ Sci & Technol Sch Mech Engn Zhenjiang Jiangsu Peoples R China Jiangsu Univ Sci & Technol Sch Mat Sci & Engn Zhenjiang Jiangsu Peoples R China Southeast Univ Sch Mech Engn Nanjing Jiangsu Peoples R China Hudong Heavy Machinery Co Ltd Inst Comprehens Technol Shanghai Peoples R China

Intelligent manufacturing has become the trend of global manufacturing industry, and the core of the new industrial revolution and the commanding point of Made in China 2025. Process planning is an important part of intelligent manufacturing. To improve the speed and accuracy of intelligent generation of machining process, a systematic intelligent generation method of machining process based on process knowledge is proposed. Firstly, a method of modelling and management of process knowledge is presented. Secondly, by combining case-based reasoning with rule-based reasoning, accurate process information of machining features is obtained. Then, the skeleton process is formed. Thirdly, through the analysis of the precedence constraints and the processing experience constraints, the precedence relation between machining features is determined. Moreover, the precedence between process operations is formulated by process constraint matrix. Finally, a genetic algorithm (GA) approach is presented to obtain the global optimal process route for the part based on working step with process information. Taking the connecting rod and piston of marine diesel engine and the spindle box shell as the research object, the feasibility of this method is verified.

关键词： Process knowledge skeleton process process constraint matrix genetic algorithm machining process

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Research on the intelligent generation method of MBD model 3D marking using predefined features

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CONCURRENT ENGINEERING-RESEARCH AND APPLICATIONS 2020年第3期28卷 222-238页

作者： Jing, xuwen Tang, Mingming Liu, Jinfeng Zhou, Honggen zhao, Peng Wang, Zhen Cao, Xuwu Sheng, Sushan Wei, Gang Jiangsu Univ Sci & Technol Sch Mech Engn Zhenjiang 212003 Jiangsu Peoples R China Jiangsu Univ Sci & Technol Jiangsu Prov Key Lab Adv Mfg Marine Mech Equipmen Zhenjiang Jiangsu Peoples R China Shanxi Diesel Engine Heavy Ind Co Ltd Xingping Shanxi Peoples R China

Model-based definition (MBD) carries out a technological innovation for global manufacturing, application of MBD technology plays an important supporting in process design, product manufacturing and other development activities, rapid creation of MBD models have become a key to reduce time and cost for enterprises. However, interactive dimensioning method has severely hampered the efficiency of MBD model creation. This paper mainly studies the dimensions intelligent marking method based on the predefined features to solve the rapid modeling problem of MBD model. Firstly, the expression model of dimensions metadata is established based on the feature identifier. Secondly, by establishing an association mechanism between the dimensions and the predefined feature, the "model-feature-dimensioning" association model is formed. Thirdly, through analysis of the dimensioning type, the intelligent dimensioning algorithm process is determined. Moreover, the completeness check of the dimensions is guaranteed during the marking process. Finally, taking the connecting rod and crankshaft of marine diesel as the research object, the effectiveness of this method is verified.

关键词： MBD dimension predefined features metadata intelligent marking

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Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective

arXiv

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arXiv 2024年

作者： Ma, Qun Xue, Xiao Zhou, Deyu Yu, Xiangning Liu, Donghua Zhang, xuwen zhao, Zihan Shen, Yifan Ji, Peilin Li, Juanjuan Wang, Gang Ma, Wanpeng College of Intelligence and Computing Tianjin University Tianjin China School of Computer Software College of Intelligence and Computing Tianjin University Tianjin China School of Software Shandong University Jinan China Wuhan University Wuhan China College of Computer and Information Hohai University China Beijing Institute of Technology Beijing China University of Texas at San Antonio. United States Army Aviation Research Institute United States

Computational experiments have emerged as a valuable method for studying complex systems, involving the algorithmization of counterfactuals. However, accurately representing real social systems in Agent-based Modeling (ABM) is challenging due to the diverse and intricate characteristics of humans, including bounded rationality and heterogeneity. To address this limitation, the integration of Large Language Models (LLMs) has been proposed, enabling agents to possess anthropomorphic abilities such as complex reasoning and autonomous learning. These agents, known as LLM-based Agent, offer the potential to enhance the anthropomorphism lacking in ABM. Nonetheless, the absence of explicit explainability in LLMs significantly hinders their application in the social sciences. Conversely, computational experiments excel in providing causal analysis of individual behaviors and complex phenomena. Thus, combining computational experiments with LLM-based Agent holds substantial research potential. This paper aims to present a comprehensive exploration of this fusion. Primarily, it outlines the historical development of agent structures and their evolution into artificial societies, emphasizing their importance in computational experiments. Then it elucidates the advantages that computational experiments and LLM-based Agents offer each other, considering the perspectives of LLM-based Agent for computational experiments and vice versa. Finally, this paper addresses the challenges and future trends in this research domain, offering guidance for subsequent related studies. Copyright © 2024, The Authors. All rights reserved.

关键词： Autonomous agents

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