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Rapid thin-layer WS_(2) detection based on monochromatic illumination photographs

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Nano Research 2021年第3期14卷 840-845页

作者： Xiangmin Hu Cuicui qiu Dameng liu State Key Laboratory of Tribology Tsinghua UniversityBeijing100084China

The thickness of two-dimensional(2D)nanomaterials shows a significant effect on their optical and electrical ***,a rapid and automatic detection technology of 2D nanomaterials with desired layer-number is required to extend their practical application in optoelectronic *** this paper,an image recognition technology was proposed for rapid and reliable identification of thin-layer WS_(2) samples,which combining a layer-thickness identification criterion and a novel image segmentation *** criterion stemmed from optical contrast study of monochromatic illumination photographs,and the algorithm was based on Canny operator and edge connection *** optical identification method can seek out thin-layer WS_(2) samples on complex surfaces,which provides a promising approach for automatic search of thin-layer nanomaterials.

关键词： WS_(2) thickness identification image recognition sample detection

Molecular characterization of the ryanodine receptor from Adoxophyes orana and its response to lethal and sublethal doses of chlorantraniliprole

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Journal of Integrative Agriculture 2021年第6期20卷 1585-1595页

作者： SUN Li-na liu Yan-di ZHANG Huai-jiang YAN Wen-tao YUE Qiang qiu Gui-sheng Research Institute of Pomology Chinese Academy of Agricultural SciencesXingcheng 125100P.R.China

The insect ryanodine receptor(RyR)is a novel target of the anthranilic and phthalic insecticides,which have high activity against lepidopteran *** diamide insecticides have been used to control pests in orchards in *** enhance our understanding of the effects of diamides on RyRs,full-length cDNAs were isolated and characterized from the summer fruit tortrix moth,Adoxophyes orana,which is the most severe pest of stone and pome trees *** addition,the modulation of AoRyRmRNA expression by diamide insecticides was *** AoRyRmRNA obtained had an open reading frame(ORF)of 15402 bp nucleotides encoding 5113 amino acids,and shared high and low identity with its orthologs in other insects and mammals of 77–92 and 45–47%identity,*** alternative splice site with two exclusive exons was revealed in AoRyR(a/b).The usage of exon was more frequent in eggs and larvae than in pupae and *** real-time reverse transcription PCR(qRT-PCR)showed that AoRyRmRNA was expressed at all developmental stages,especially in eggs,male pupae and male *** expression levels of AoRyRmRNA in the whole body were up-regulated markedly after 3 rd instar larvae were treated with chlorantraniliprole at LC_(10),LC_(20)and LC_(50)*** results could provide the basis for further functional studies of Ao Ry R and for the development of new chemicals with selective activity against insects.

关键词： ryanodine receptor Adoxophyes orana chlorantraniliprole mRNA expression

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Bt转基因抗虫植物研究进展

生物学杂志 2010年第4期27卷 75-78页

作者：王继磊刘迪秋丁元明葛锋李文娴田荣欢昆明理工大学生命科学与技术学院昆明650224 云南出入境检验检疫局云南650228

目前Bt成为世界上植物抗虫基因工程中研究和应用最多的基因。已经有多种转单一Bt和复合Bt的转基因玉米、棉花、马铃薯等作物得到大面积种植。还有许多新的具有良好抗虫性的Bt转基因植物,如水稻、大豆、油菜、苜蓿、花椰菜、蓖麻等已经... 详细信息

目前Bt成为世界上植物抗虫基因工程中研究和应用最多的基因。已经有多种转单一Bt和复合Bt的转基因玉米、棉花、马铃薯等作物得到大面积种植。还有许多新的具有良好抗虫性的Bt转基因植物,如水稻、大豆、油菜、苜蓿、花椰菜、蓖麻等已经试验成功,并逐渐推广种植。Bt转基因抗虫植物的培育为提高产量,减少杀虫剂的使用和保护环境做出了举足轻重的贡献。就Bt的分类、杀虫机理、Bt转基因抗虫植物的发展状况以及种植Bt抗虫植物对环境的影响进行了概述。

关键词： Bt基因转基因植物抗虫环境

Stochastic Simulation of the Cell Cycle Model for Budding Yeast

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Communications in Computational Physics 2011年第2期9卷 390-405页

作者： di liu Department of Mathematics Michigan State UniversityEast LansingMI 48824USA

We use the recently proposed Nested Stochastic Simulation Algorithm(Nested SSA)to simulate the cell cycle model for budding *** results show that Nested SSA is able to significantly reduce the computational cost while... 详细信息

关键词： Stochastic simulation algorithm stochastic process bio-chemical reacting network system biology

Sign-based Test for Mean Vector in High-dimensional and Sparse Settings

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Acta Mathematica Sinica,English Series 2020年第1期36卷 93-108页

作者： Wei liu Ying qiu LI College of Mathematics and Statistics Hu'nan University of Finance and EconomicsChangsha 410205P.R.China School of Mathematics and Statistics Changsha University of Science and TechnologyChangsha 410114P.R.China

In this article, we introduce a robust sparse test statistic which is based on the maximum type statistic. Both the limiting null distribution of the test statistic and the power of the test are analysed. It is shown that the test is particularly powerful against sparse alternatives. Numerical studies are carried out to examine the numerical performance of the test and to compare it with other tests available in the literature. The numerical results show that the test proposed significantly outperforms those tests in a range of settings, especially for sparse alternatives.

关键词： High-dimensional data maximum type test sign-based dense test sign-based sparsity test sum of squares type test testing mean vector

多聚半乳糖醛酸酶抑制蛋白的结构、功能以及应用研究进展

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生物学杂志 2010年第5期27卷 77-80页

作者：李文娴刘迪秋葛锋丁元明王继磊田荣欢昆明理工大学生命科学与技术学院昆明650224 云南出入境检验检疫局昆明650228

真菌病害严重影响植物的生长发育。为了自我保护,植物进化出了许多抵御病原真菌入侵的策略,例如防御相关蛋白的产生。多聚半乳糖醛酸酶抑制蛋白(polygalacturonase-inhibiting proteins,PGIPs)是近年来研究较多的一种植物防御蛋白,它能... 详细信息

真菌病害严重影响植物的生长发育。为了自我保护,植物进化出了许多抵御病原真菌入侵的策略,例如防御相关蛋白的产生。多聚半乳糖醛酸酶抑制蛋白(polygalacturonase-inhibiting proteins,PGIPs)是近年来研究较多的一种植物防御蛋白,它能与真菌分泌的多聚半乳糖醛酸酶(polygalacturonases,PGs)特异性结合,降低PGs水解植物细胞壁的活性并在植物体内累积能激活多种防御反应的长链寡聚半乳糖醛酸(oligogalacturonides,OGs),从而达到抑制真菌侵染的目的。主要介绍了PGIPs的结构、功能及其抗菌机理,并综述了PGIPs在国内外转基因抗病育种中的应用研究进展。

关键词： PGIPs PGs OGs 病原真菌转基因植物

Data-driven approach to predict the fatigue properties of ferrous metal materials using the cGAN and machine-learning algorithms

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Advances in Manufacturing 2024年第3期12卷 447-464页

作者： Si-Geng Li qiu-Ren Chen Li Huang Min Chen Chen-di Wei Zhong-Jie Yue Ru-Xue liu Chao Tong Qing liu School of Advanced Technology Xi’an Jiaotong-Liverpool UniversitySuzhou215123JiangsuPeople’s Republic of China Key Laboratory for Light-weight Materials Nanjing Tech UniversityNanjing210009People’s Republic of China Materials Bigdata and Application division Material Academy JitriSuzhou215131JiangsuPeople’s Republic of China School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai200240People’s Republic of China

The stress-life curve(S–N)and low-cycle strain-life curve(E–N)are the two primary representations used to characterize the fatigue behavior of a *** material fatigue curves are essential for structural fatigue ***,conducting material fatigue tests is expensive and *** address the challenge of data limitations on ferrous metal materials,we propose a novel method that utilizes the Random Forest Algorithm and transfer learning to predict the S–N and E–N curves of ferrous *** addition,a data-augmentation framework is introduced using a conditional generative adversarial network(cGAN)to overcome data *** incorporating the cGAN-generated data,the accuracy(R2)of the Random Forest Algorithm-trained model is improved by 0.3–*** is proven that the cGAN can significantly enhance the prediction accuracy of the machine-learning model and balance the cost of obtaining fatigue data from the experiment.

关键词： Fatigue life curve Machine learning Transfer learning Conditional generative adversarial network(cGAN)

Design and optimization of electrolyte flow fields in electrochemical machining of cross-channel array with tool vibration

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Chinese Journal of Aeronautics 2022年第4期35卷 461-472页

作者： Yan liu Jia liu di ZHU Hao WANG College of Mechanical and Electrical Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China

A metallic interconnect plate with a flow channel array is one of the most important elements in a solid oxide fuel cell(SOFC). Electrochemical machining(ECM) is considered to be an adoptable technology for fabricating flow channels in an interconnect plate on account of its efficiency and low cost. With respect to the traditional electrolyte flow mode in ECM cross-channel array, the electrolyte usually flows from one side to the opposite side of the rectangular processing area. However, obvious flow marks are typically formed at the bottom of channels perpendicular to the flow. According to multiphysical simulation analysis, the low electrolyte velocity in the channels perpendicular to the flow leads to uneven distribution of electrolyte products. To improve the uniformity of the flow field, two new electrolyte flow modes, “two-in and two-out” and “three-in and one-out”, are proposed. By adding one or two additional electrolyte inlets to the sides of the traditional flow field, the electrolyte flow velocity in the channels perpendicular to the traditional flow will be increased. Corresponding simulations and experiments were performed and the results showed that the “three-in and one-out” flow mode can produce a flatter bottom surface for the cross-channel array. Parameter optimization experiments for the preferred flow mode were undertaken and the optimal flow field parameters were determined.

关键词： Cross-channel array Dynamic simulation Electrochemical machining Flow field Interconnect plate

Sensor Optimization Selection Model Based on Testability Constraint

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Chinese Journal of Aeronautics 2012年第2期25卷 262-268页

作者： YANG Shuming qiu Jing liu Guanjun Laboratory of Science and Technology on Integrated Logistics Support College of Mechatronics Engineering and AutomationNational University of Defense TechnologyChangsha 410073China

Sensor selection and optimization is one of the important parts in design for testability. To address the problems that the traditional sensor optimization selection model does not take the requirements of prognostics and health management especially fault prognostics for testability into account and does not consider the impacts of sensor actual attributes on fault detectability, a novel sensor optimization selection model is proposed. Firstly, a universal architecture for sensor selection and optimization is provided. Secondly, a new testability index named fault predictable rate is defined to describe fault prognostics requirements for testability. Thirdly, a sensor selection and optimization model for prognostics and health management is constructed, which takes sensor cost as objective function and the defined testability indexes as constraint conditions. Due to NP-hard property of the model, a generic algorithm is designed to obtain the optimal solution. At last, a case study is presented to demonstrate the sensor selection approach for a stable tracking servo platform. The application results and comparison analysis show the proposed model and algorithm are effective and feasible. This approach can be used to select sensors for prognostics and health management of any system.

关键词： prognostics and health management design for testability fault predictable rate sensor selection and optimization generic algorithm