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Green Energy & Environment 2022年第4期7卷 734-741页

作者： Huiqin Wang Fengchu Zhang jing Xia Fei Lu bo zhou Ding Yi Xi Wang Key Laboratory of Luminescence and Optical Information Ministry of EducationDepartment of PhysicsSchool of ScienceBeijing Jiaotong UniversityBeijing100044China Institute of Molecular Plus Tianjin UniversityTianjin300072China Chemistry and Chemical Engineering Guangdong Laboratory Shantou515031China

Up to now,three kinds of ion-storage mechanisms are summarized towards anode materials in lithium/sodium-ion batteries,but they have low capacity and poor cyclic ***,it is necessary to develop a new approach to optimize ion ***,we report an adsorption/desorption storage route through engineering electronic structure of cation-deficient Ti_(1-x)O_(2)***_(1-x)O_(2)nanosheets indeed exhibit higher capacity(332.1 mA h g^(-1)vs.137.7 mA h g^(-1)for LIBs,195.7 mA h g^(-1)vs.111 mA h g^(-1)for SIBs),and more stable cyclic performance(296 mA h g^(-1)vs.99 mA h g^(-1)for LIBs,178.1 mA h g^(-1)vs.80.2 mA h g^(-1)for SIBs after 100 cycles)at 0.1 A g^(-1)than TiO_(2)*** analysis and density functional theory(DFT)calculations reveal that electronic structures of vacancy within Ti_(1-x)O_(2) nanosheets encourage a novel adsorption-desorption storage *** results highlight the benefits of the engineered electronic structures within electrode material and implement novel ion-storage mechanism towards broad energy storage applications.

关键词： Titanium vacancy Titania nanosheet Electronic structure Ion storage Storage mechanism

剖宫产术中不同给药方法对产妇血压、心率及血氧饱和度的影响

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中华全科医学 2011年第12期9卷 1885-1885,1936页

作者：谭景余立波周艾叶丽广东省珠海市人民医院产科 519000

目的探讨缩宫素在剖宫产手术中不同给药方式对产妇循环功能的影响。方法研究1组于患者术中胎儿娩出后立即给予静脉注射缩宫素,剂量为10 U;研究2组患者推注方法、时间与1组相同,剂量改为20 U;对照组不予缩宫素注射。记录舒张压(DBP)、收... 详细信息

目的探讨缩宫素在剖宫产手术中不同给药方式对产妇循环功能的影响。方法研究1组于患者术中胎儿娩出后立即给予静脉注射缩宫素,剂量为10 U;研究2组患者推注方法、时间与1组相同,剂量改为20 U;对照组不予缩宫素注射。记录舒张压(DBP)、收缩压(SBP)、心率(HR)、血氧饱和度(SPO2)各时期变化值。结果对照组患者血压和心率始终处于稳定状态,各检测阶段比较差异无统计学意义(P>0.05);研究1组、2组患者于缩宫素注射后2 min血压明显下降、心率明显上升,与同时期对照组比较差异具有统计学意义(P0.05)。研究1组、2组应用缩宫素产妇产后出血量明显低于对照组(P<0.05)。结论缩宫素在剖宫产术中对于产妇循环功能短期内具有极明显的影响,可降低血压、升高心率,但对血氧饱和度无影响。

关键词：缩宫素剖宫产循环功能

A data-driven model of drop size prediction based on artificial neural networks using small-scale data sets

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Chinese Journal of Chemical Engineering 2024年第2期66卷 71-83页

作者： bo Wang Han zhou Shan jing Qiang Zheng Wenjie Lan Shaowei Li Institute of Nuclear and New Energy Technology Tsinghua UniversityBeijing 100084China State Key Laboratory of Heavy Oil Processing China University of Petroleum(Beijing)Beijing 102249China State Key Laboratory of Chemical Engineering Tsinghua UniversityBeijing 100084China

An artificial neural network(ANN)method is introduced to predict drop size in two kinds of pulsed columns with small-scale data *** training,the deviation between calculate and experimental results are 3.8%and 9.3%,*** ANN model,the influence of interfacial tension and pulsation intensity on the droplet diameter has been *** size gradually increases with the increase of interfacial tension,and decreases with the increase of pulse *** can be seen that the accuracy of ANN model in predicting droplet size outside the training set range is reach the same level as the accuracy of correlation obtained based on experiments within this *** two kinds of columns,the drop size prediction deviations of ANN model are 9.6%and 18.5%and the deviations in correlations are 11%and 15%.

关键词： Artificial neural network Drop size Solvent extraction Pulsed column Two-phase flow Hydrodynamics

Lamp2a参与Plin5在肝脏脂质分解中的作用

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现代生物医学进展 2018年第5期18卷 847-851,825页

作者：马硕怡王敬博周霞张苗张帅郭冠亚王敏周新民第四军医大学西京消化病医院肿瘤生物学国家重点实验室陕西西安710032

目的:探讨肝脏中lamp2a对plin5表达及其功能的影响。方法:利用Western blot及免疫组化检测正常人和脂肪肝患者肝脏中lamp2a与plin5表达相关性。利用HepG2细胞构建lamp2a敲减的细胞系HepG2-L2A,通过给予油酸刺激、溶酶体抑制剂处理等进... 详细信息

目的:探讨肝脏中lamp2a对plin5表达及其功能的影响。方法:利用Western blot及免疫组化检测正常人和脂肪肝患者肝脏中lamp2a与plin5表达相关性。利用HepG2细胞构建lamp2a敲减的细胞系HepG2-L2A,通过给予油酸刺激、溶酶体抑制剂处理等进一步在细胞水平证实其相关性。结果:Western-Blot及免疫组化检测显示脂肪肝患者肝组织中lamp2a的表达明显下降,而plin5表达显著升高。Western-Blot试验提示正常培养的HepG2-L2A细胞中plin5表达较HepG2细胞中升高,bodipy染色提示HepG2-L2A细胞中脂滴数量也明显增加(124±15.3 vs 273±19.1)。在分解试验中,HepG2细胞中plin5明显降低,脂滴数量也明显减少(282±24.1 vs 192±17.5);而HepG2-L2A细胞中plin5仍然处于高水平,脂滴数量仍然较多(325±24.0 vs 286±28.7)。当给予溶酶体抑制剂处理时,HepG2细胞中plin5降解明显抑制,而HepG2-L2A中plin5水平未见明显改变。结论:肝脏中lamp2a的异常表达影响plin5的表达,进而影响了脂质的分解。

关键词： Lamp2a plin5 脂质分解

Practical continuous leakage-resilient CCA secure identity-based encryption

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Frontiers of Computer Science 2020年第4期14卷 167-180页

作者： Yanwei zhou bo YANG School of Computer Science Shaanxi Normal UniversityXi’an710119China State Key Laboratory of Cryptology Beijing100878China

Leakage of private information including private keys of user has become a threat to the security of computing *** has become a common security requirement that a cryptographic scheme should withstand various leakage *** the real life,an adversary can break the security of cryptography primitive by performing continuous leakage ***,some research on the leakage-resilient cryptography had been made,there are still some remaining issued in previous *** identity-based encryption(IBE)constructions were designed in the bounded-leakage model,and might not be able to meet their claimed security under the continuous-leakage *** the real applications,the leakage is *** is,a practical cryptography scheme should keep its original security in the continuous leakage *** previous continuous leakage-resilient IBE schemes either only achieve chosen-plaintext attacks security or the chosen-ciphertext attacks(CCA)security is proved in the selective identity *** to solve these problems,in this paper,we show how to construct the continuous leakage-resilient IBE scheme,and the scheme’s adaptive CCA security is proved in the standard model based on the hardness of decisional bilinear Diffie-Hellman exponent *** any adversary,all elements in the ciphertext are random,and an adversary cannot obtain any leakage on the private key of user from the corresponding given ***,the leakage parameter of our proposal is independent of the plaintext space and has a constant size.

关键词： identity-based encryption CCA security continuous leakage-resilience standard model

Uncertainty quantification of predicting stable structures for high-entropy alloys using Bayesian neural networks

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Journal of Energy Chemistry 2023年第6期81卷 118-124,I0005页

作者： Yonghui zhou bo Yang School of Physical Science and Technology ShanghaiTech UniversityShanghai 201210China

High entropy alloys(HEAs)have excellent application prospects in catalysis because of their rich components and configuration *** this work,we develop a Bayesian neural network(BNN)based on energies calculated with density functional theory to search the configuration space of the CoNiRhRu HEA *** BNN model was developed by considering six independent features of Co-Ni,Co-Rh,CoRu,Ni-Rh,Ni-Ru,and Rh-Ru in different shells and energies of structures as the *** root mean squared error of the energy predicted by BNN is 1.37 me V/***,the influence of feature periodicity on the energy of HEA in theoretical calculations is *** found that when the neural network is optimized to a certain extent,only using the accuracy indicator of root mean square error to evaluate model performance is no longer accurate in some *** importantly,we reveal the importance of uncertainty quantification for neural networks to predict new structures of HEAs with proper confidence based on BNN.

关键词： Uncertainty quantification High-entropy alloys Bayesian neural networks Energy prediction Structure screening

Continuous Leakage-Resilient Identity-Based Encryption Scheme with CCA Security

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Chinese Journal of Electronics 2019年第4期28卷 682-689页

作者： zhou Yanwei YANG bo Engineering Laboratory of Teaching Information Technology of Shaanxi Province Shaanxi Normal University School of Computer Science Shaanxi Normal University State Key Laboratory of Information Security Institute of Information Engineering

Leakage of private information including private key has become a threat to the security of computing systems. It has become a common security requirement that a cryptographic scheme should withstand various leakage attacks, including continuous leakage attacks. In order to obtain an Identity-based encryption(IBE) scheme which can keep its original security in the continuous leakage setting, we propose a new construction method of IBE scheme with Chosen-ciphertext attacks(CCA) security, which can tolerate continuous leakage attacks on many private keys of each identity, and whose security is proved based on the hardness of the classical Decisional bilinear Diffie-Hellman(DBDH) assumption in the standard model. The leakage parameter is independent of the plaintext space and has the constant size.

关键词： Continuous leakage-resilience Identity based encryption CCA security Standard model

Morphology Based Particle Filtering Algorithm for Point Target Tracking

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Morphology Based Particle Filtering Algorithm for Point Targ...

Degradation of some typical pharmaceuticals and personal care products with copper-plating iron doped Cu_2O under visible light irradiation

第25届中国控制与决策会议

作者： Rong zhou bo Liu jing Teng School of Control & Computer Engineering North China Electrical Power University National Space Science Center Chinese Academy of Science

ISBN: (纸本)9781467355322

The problem of tracking maneuvering point target in optical image sequence using a single sensor is considered in this paper. A morphology based method is proposed to pre-detect target area. This pre-detection begins with expansion of the target area by dilation using a selected rectangle structuring element. Then the target energy is enhanced by frame-addition. Finally, the target area is detected by getting the maximum intensity based on the character of target correlation between frames. Therefore, the conventional uniform distribution of particles over the whole sensor field-of-view is shrunk to the pre-detection target area. The proposed morphology based particle filtering algorithm thus enhances the particles representation. To demonstrate the efficiency of the proposed method, it is compared with the particle filter proposed by Salmond. The simulations indicate that desired tracking quality is ensured by narrowing initial particle distribution derived from morphology based pre-detection.

关键词： Particle Filter Morphology Point Target Tracking

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Journal of Environmental Sciences 2012年第5期24卷 827-833页

作者： jing An Qixing zhou Key Laboratory of Terrestrial Ecological Process Institute of Applied EcologyChinese Academy of SciencesShenyang 110016China Key Laboratory of Pollution Processes and Environmental Criteria(Ministry of Education) College of Environmental Science and EngineeringNankai UniversityTianjin 300071China

A mixture of five commonly used pharmaceuticals and personal care products （PPCPs） was degraded using a new combined catalyst under visible light irradiation. Scanning electron microscopy and X-ray diffraction analysis revealed that the combined catalyst was composed of copper-plating iron doped Cu2O （FeCu/Cu2O）. Compared with the Fe/C inner micro-circuit, the electric currents flowing between Cu and Fe increase the speed of anodic Fe dissolution. Moreover, due to the photochemical properties, Cu2O can accelerate the PPCPs degradation processes under the irradiation of visible light. In addition, shaking increased the dissolved oxygen concentration in the solution, which not only preconditioned the photo-catalysis reaction, but also set the stage for Fe reduction. According to the experimental results, we propose the possible reaction mechanism of the reaction.

关键词： copper-plating iron Cu2O PPCPs degradation mechanism

Cross-domain sequence labelling using language modelling and parameter generating

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CAAI Transactions on Intelligence Technology 2022年第4期7卷 710-720页

作者： bo zhou Jianying Chen Qianhua Cai Yun Xue Chi Yang jing He School of Electronics and Information Engineering South China Normal UniversityFoshanChina Department of Neroscience University of OxfordOxfordOxfordshireBritain

Sequence labelling(SL)tasks are currently widely studied in the field of natural language *** sequence labelling methods are developed on a large amount of labelled training data via supervised learning,which is time-consuming and *** an alternative,domain adaptation is proposed to train a deep-learning model for sequence labelling in a target domain by exploiting existing labelled training data in related source *** this end,the authors propose a Bi-LSTM model to extract more-related knowledge from multi-source domains and learn specific context from the target ***,the language modelling training is also applied to cross-domain adaptability *** proposed model is extensively evaluated with the named entity recognition and part-of-speech tagging *** empirical results demonstrate the effectiveness of the cross-domain *** model outperforms the state-of-the-art methods used in both cross-domain tasks and crowd annotation tasks.

关键词： sequence generating consuming