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The Generation of Eukaryotic Expression Vectors of shRNA Specific for Stat6

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生物医学工程学杂志 2005年第S1期22卷 73-74页

作者： ming-sheng ZHANG Yun-feng ZHOU~Δ Zhi-Guo LUO Jian-Ping WU Wen Jie ZHANG(Department of Radio-Chemotherapy, Zhongnan Hospital, Cancer Research Center, Wuhan University,Wuhan 430071, China)

Exploration of Gas-Dependent Self-Adaptive Reconstruction Behavior of Cu₂O for Electrochemical CO₂ Conversion to Multi-Carbon Products

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NANO-MICRO LETTERS 2025年第1期17卷 1-17页

作者： Zhang, Chaoran Gu, Yichuan Jiang, Qu sheng, Ziyang feng, Ruohan Wang, Sihong Zhang, Haoyue Xu, Qianqing Yuan, Zijian Song, Fang Shanghai Jiao Tong Univ Sch Mat Sci & Engn State Key Lab Met Matrix Composites Shanghai 200240 Peoples R China

Structural reconstruction of electrocatalysts plays a pivotal role in catalytic performances for CO2 reduction reaction (CO2RR), whereas the behavior is by far superficially understood. Here, we report that CO2 accessibility results in a universal self-adaptive structural reconstruction from Cu2O to Cu@CuxO composites, ending with feeding gas-dependent microstructures and catalytic performances. The CO2-rich atmosphere favors reconstruction for CO2RR, whereas the CO2-deficient one prefers that for hydrogen evolution reaction. With the assistance of spectroscopic analysis and theoretical calculations, we uncover a CO2-induced passivation behavior by identifying a reduction-resistant but catalytic active Cu(I)-rich amorphous layer stabilized by *CO intermediates. Additionally, we find extra CO production is indispensable for the robust production of C2H4. An inverse correlation between durability and FECO/FEC2H4 is disclosed, suggesting that the self-stabilization process involving the absorption of *CO intermediates on Cu(I) sites is essential for durable electrolysis. Guided by this insight, we design hollow Cu2O nanospheres for durable and selective CO2RR electrolysis in producing C2H4. Our work recognizes the previously overlooked passivation reconstruction and self-stabilizing behavior and highlights the critical role of the local atmosphere in modulating reconstruction and catalytic processes.

关键词： CO2 reduction reaction Electrocatalysts Cu2O Reconstruction Self-adaptive electrocatalysis

Optimal Policies for Quantum Markov Decision Processes

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International Journal of Automation and computing 2021年第3期18卷 410-421页

作者： ming-sheng Ying Yuan feng sheng-Gang Ying Centre for Quantum Software and Information University of Technology SydneyNSW 2007Australia State Key Laboratory of Computer Science Institute of SoftwareChinese Academy of SciencesBeijing 100190China Department of Computer Science and Technology Tsinghua UniversityBeijing 100084China

Markov decision process(MDP)offers a general framework for modelling sequential decision making where outcomes are *** particular,it serves as a mathematical framework for reinforcement *** paper introduces an extension of MDP,namely quantum MDP(q MDP),that can serve as a mathematical model of decision making about quantum *** develop dynamic programming algorithms for policy evaluation and finding optimal policies for q MDPs in the case of *** results obtained in this paper provide some useful mathematical tools for reinforcement learning techniques applied to the quantum world.

关键词： Quantum Markov decision processes quantum machine learning reinforcement learning dynamic programming decision making

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伊犁新垦区玉米滴灌技术研究

新疆农业科学 2017年第10期54卷 1832-1838页

作者：唐亚莉董文明蒲胜海冯广平买买提托合提.苏来曼丁峰新疆农业科学院土壤肥料与农业节水研究所乌鲁木齐830091 新疆农业大学水利与土木工程学院乌鲁木齐830052 和田地区农业技术推广中心新疆和田848000

【目的】研究伊犁新垦区玉米生产滴灌最佳灌溉制度和滴灌水肥调控技术。【方法】设置3个不同的灌溉定额(4 800、5 400、6 000 m^3/hm^2)处理,采取统一的灌溉周期:4 d,并对土壤水分、玉米产量、水分生产率和主要农艺性状等指标进行测定... 详细信息

【目的】研究伊犁新垦区玉米生产滴灌最佳灌溉制度和滴灌水肥调控技术。【方法】设置3个不同的灌溉定额(4 800、5 400、6 000 m^3/hm^2)处理,采取统一的灌溉周期:4 d,并对土壤水分、玉米产量、水分生产率和主要农艺性状等指标进行测定。【结果】对玉米应用小水量多次灌的滴灌技术,灌溉定额对产量有较显著的影响,成正相关,当灌溉定额在5 631.6 m^3/hm^2时,可获得最佳产量。【结论】伊犁新垦区玉米在滴灌条件下,采用小水量多次灌并在生育期内追肥的水肥调控技术,可实现当地玉米生产的节水、节肥高效优质可持续发展。

关键词：玉米滴灌水肥调控

Mechanical and magnetic hysteresis as indicators of the origin and inception of fatigue damage in steel

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2010年第8期11卷 580-586页

作者： sheng BAO Wei-liang JIN ming-feng HUANG Institute of Structural Engineering Zhejiang University Hangzhou 310058 China

N2 and N3 are known as the transition points of the three principal stages of fatigue: initial accommodation, accretion of damage and terminal fatigue. Many experiments show that the ratios of N2/Nf and N3/Nf tend to be stable even though the specific N2 and N3 values may fluctuate widely. The primary goal of this research is to study the piezomagnetic field surrounding AISI 1018 steel specimen under repeated loads and to find the ratio values of N2/Nf and N3/Nf by analyzing 11 sets of low-cycle fatigue data. An MTS-810 testing system with a peak capacity of 222 kN was used to obtain the data which consisted of stress, strain, and piezomagnetic field. A computer program was constructed to track the evolution of the piezomagnetic field and re- gression analysis was carried out to determine N2 and N3 values. It was observed that there exists a consistent relationship between N2 and Nf. The apparent invariance of the ratio N2/Nf implies that N2 may be identified as an index of performance in the early loading response of a specimen that forecasts its fatigue life, Nf. It has been demonstrated that measurements of the magnetic and mechanical hysteresis can yield significant insights into the various stages of the development of a fatigue critical microstructure which culminates in complete rupture of the material.

关键词： Piezomagnetic effects. Fatigue damage. Mechanical hvsteresis. Magnetic hysteresis

A Deep Model for Partial Multi-label Image Classification with Curriculum-based Disambiguation

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Machine Intelligence Research 2024年第4期21卷 801-814页

作者： feng Sun ming-Kun Xie sheng-Jun Huang MIIT Key Laboratory of Pattern Analysis and Machine Intelligence College of Computer Science and TechnologyNanjing University of AeronauticsandAstronauticsNanjing211106China

In this paper,we study the partial multi-label(PML)image classification problem,where each image is annotated with a candidate label set consisting of multiple relevant labels and other noisy *** PML methods typically design a disambiguation strategy to filter out noisy labels by utilizing prior knowledge with extra assumptions,which unfortunately is unavailable in many real ***,because the objective function for disambiguation is usually elaborately designed on the whole training set,it can hardly be optimized in a deep model with stochastic gradient descent(SGD)on *** this paper,for the first time,we propose a deep model for PML to enhance the representation and discrimination *** the one hand,we propose a novel curriculum-based disambiguation strategy to progressively identify ground-truth labels by incorporating the varied difficulties of different *** the other hand,consistency regularization is introduced for model training to balance fitting identified easy labels and exploiting potential relevant *** experimental results on the commonly used benchmark datasets show that the proposed method significantlyoutperforms the SOTA methods.

关键词： Partial multi-label image classification curriculum-based disambiguation consistency regularization label difficulty candidatelabel set.

Magnitude-frequency relationship of debris flows in the Jiangjia Gully, China

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Journal of Mountain Science 2019年第6期16卷 1289-1299页

作者： GAO Yan-chao CHEN Ning-sheng HU Gui-sheng DENG ming-feng Key Laboratory of Mountain Hazards and Land Surface Process Institute of Mountain Hazards and EnvironmentCASChengdu 610041China Chengdu Center China Geological SurveyChengdu 610081China University of Chinese Academy of Sciences Beijing 100049China

The magnitude-frequency(MF) relationship of debris flows is the basis for engineering designs and risk quantification. However, because of the lack of debris flow monitoring data, research progress in this area has been relatively slow. The MF relationship of debris flows in Jiangjia Gully, Yunnan Province was evaluated based on a regression analysis of 178 debris flow events that occurred from 1987-2004. The magnitude-cumulative frequency(MCF) relationship of the debris flows in the Jiangjia Gully is consistent with the linear logarithmic transformation function. Moreover, observed data for debris flows in Hunshui Gully of Yunnan Province and Huoshao Gully, Liuwan Gully, and Niwan Gully of Gansu Province were used to verify the function. The results showed that the MCF relationship of highfrequency debris flows is consistent with the power law equation, although the regression coefficients in the equation are considerably different. Further analysis showed a strong correlation between the differences in the constants and the drainage area and daily maximum precipitation.

关键词： Debris flow Magnitude Cumulative frequency Drainage area Precipitation Jiangjia Gully

Understanding Structural Evolution in the Synthesis of Advanced Energy Materials

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Chinese Journal of Structural Chemistry 2020年第1期39卷 26-30,1页

作者： ZHANG ming-Jian CHEN Yu-sheng PAN feng REN Yang School of Advanced Materials Peking University Shenzhen Graduate SchoolShenzhen 518055China Center for Advanced Radiation Source(ChemMatCARS) the University of ChicagoArgonneIllinois 60439United States X-ray Science Division Argonne National LaboratoryArgonneIL 60439United States

Developing a variety of in situ characterization techniques to unravel the structural/chemical evolution during the synthesis of various advanced energy materials for studying the relationship among those experimental conditions and the structure is the key to implement the controllable synthesis of battery *** perspective summarizes the recent studies into structural evolution during in situ synthesis of various advanced energy materials by synchrotron X-ray diffraction technique and forecasts the more extensive applications in the future.

关键词： structure evolution synthesis advanced energy materials in situ synchrotron X-ray diffraction

A Mooring System Deployment Design Methodology for Vessels at Varying Water Depths

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China Ocean Engineering 2020年第2期34卷 185-197页

作者： XU sheng-wen LIANG ming-xiao WANG Xue-feng DING Ai-bing State Key Laboratory of Ocean Engineering Shanghai Jiao Tong UniversityShanghai 200240China Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration(CISSE) Shanghai 200240China School of Naval Architecture Ocean and Civil EngineeringShanghai Jiao Tong UniversityShanghai 200240China

In this paper,a methodology for designing mooring system deployment for vessels at varying water depths is *** Non-dominated Sorting Genetic Algorithm-II(NSGA-II)is combined with a self-dependently developed vessel-mooring coupled program to find the optimal mooring system deployment considering both station-keeping requirements and the safety of the mooring *** case studies are presented to demonstrate the methodology by designing the mooring system deployments for a very large floating structure(VLFS)module and a semi-submersible platform respectively at three different water *** can be concluded from the obtained results that the mooring system can achieve a better station-keeping ability with relatively shorter mooring line when deployed in the shallow *** safety factor of mooring line is mainly dominated by the maximum instantaneous tension increment in the shallow water,while the pre-tension has a decisive influence on the safety factor of the mooring line in the deep water.

关键词： mooring system deployment design methodology NSGA-II varying water depths