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以检品生命周期为主线开展质量检查

中国药事 2017年第6期31卷 613-616页

作者：罗卓雅张莉杨德忠隆颖阮桂平刘韵怡广东省药品检验所广州510180

目的:为药品检验实验室开展检验质量检查提供方法借鉴。方法:从理论到具体检查工作的实施,详细介绍了以检品生命周期为主线开展质量检查方法。结果:以检品生命周期为主线开展质量检查方法具有系统性和有效性。结论:以检品生命周期为主... 详细信息

目的:为药品检验实验室开展检验质量检查提供方法借鉴。方法:从理论到具体检查工作的实施,详细介绍了以检品生命周期为主线开展质量检查方法。结果:以检品生命周期为主线开展质量检查方法具有系统性和有效性。结论:以检品生命周期为主线开展质量检查,可作为药品检验实验室开展检验质量检查的有效方法予以应用。

关键词：检品生命周期质量管理结果报告质量检查

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血手印显现的实验研究

刑事技术 2002年第1期27卷 7-9页

作者：李德仲杨晟黄亮董亚枚栗亚中国刑警学院刑事技术系沈阳110035

目的提出了采用荧光显现试剂显现血手印的新方法。方法在比较使用联苯胺及其衍生物显现血手印的同时,实验了通过强氧化剂破坏血红素、沉淀珠蛋白,采用激活血痕、蛋白染色的方法,使血手印清晰显出。结果显现效果不受客体表面颜色的影... 详细信息

目的提出了采用荧光显现试剂显现血手印的新方法。方法在比较使用联苯胺及其衍生物显现血手印的同时,实验了通过强氧化剂破坏血红素、沉淀珠蛋白,采用激活血痕、蛋白染色的方法,使血手印清晰显出。结果显现效果不受客体表面颜色的影响,不受血手印遗留时间的影响。结论适用客体范围广,灵敏度高。

关键词：血手印荧光显现试剂血红蛋白激发发射光波鉴定

Failure mechanism and control technology of longwall coalface in large-cutting-height mining method

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International Journal of Mining Science and Technology 2016年第1期26卷 111-118页

作者： Wang Jiachen yang Shengli Kong dezhong College of Resources & Safety Engineering China University of Mining & Technology Beijing 100083 China State Key Laboratory of Coal Resources & Safe Mining Beijing 100083 China China Coal Industry Top-Coal Caving Mining Engineering Research Center Beijing 100083 China

The stability control of longwall coalface is the key technology of large-cutting-height mining ***,a systematic study of the factors that affect coalface stability and its control technology is required in the development of large-cutting-height mining method in China. After the practical field observation and years of study,it was found that the more than 95% of failures in coalface are shear failure. The shear failure analysis model of coalface has been established,that can perform systematic study among factors such as mining height,coal mass strength,roof load,support resistance,and face flipper protecting plate horizontal force. Meanwhile,sensitivity analysis of factors influencing coalface stability showed that improving support capacity,cohesion of coal mass and decreasing roof load of coalface are the key to improve coalface stability. Numerical simulation of the factors affecting coalface stability has been performed using UDEC software and the results are consistent with the theoretical analysis. The coalface reinforcement technology of large-cutting-height mining method using the grouting combined with coir rope is presented. Laboratory tests have been carried out to verify its reinforcement effect and practical application has been implemented in several coal mines with good *** has now become the main technology to reduce longwall coalface failure of large-cutting-height mining method.

关键词： Large-cutting-height mining methodLongwall coalfaceShear failureCoalface stability control technology

Global-Attention-Based Neural Networks for Vision Language Intelligence

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IEEE/CAA Journal of Automatica Sinica 2021年第7期8卷 1243-1252页

作者： Pei Liu Yingjie Zhou dezhong Peng Dapeng Wu the College of Computer Science Sichuan UniversityChengdu 610065China the College of Computer Science Sichuan UniversityChengdu 610065 Sichuan Zhiqian Technology Co. Ltd.Chengdu 610041 Shenzhen Peng Cheng Laboratory Shenzhen 518052China the Department of Electrical and Computer Engineering University of FloridaGainesville FL 32611 USA

In this paper,we develop a novel global-attentionbased neural network(GANN)for vision language intelligence,specifically,image captioning(language description of a given image).As many previous works,the encoder-decoder framework is adopted in our proposed model,in which the encoder is responsible for encoding the region proposal features and extracting global caption feature based on a specially designed module of predicting the caption objects,and the decoder generates captions by taking the obtained global caption feature along with the encoded visual features as inputs for each attention head of the decoder *** global caption feature is introduced for the purpose of exploring the latent contributions of region proposals for image captioning,and further helping the decoder better focus on the most relevant proposals so as to extract more accurate visual feature in each time step of caption *** GANN is implemented by incorporating the global caption feature into the attention weight calculation phase in the word predication process in each head of the decoder *** our experiments,we qualitatively analyzed the proposed model,and quantitatively evaluated several state-of-the-art schemes with GANN on the MS-COCO *** results demonstrate the effectiveness of the proposed global attention mechanism for image captioning.

关键词： Global attention image captioning latent contribution

A wall-thickness compensation strategy for wax pattern of hollow turbine blade

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Chinese Journal of Aeronautics 2019年第8期32卷 1982-1993页

作者： Kang CUI Wenhu WANG Ruisong JIANG dezhong ZHAO Key Laboratory of Contemporary Design and Integrated Manufacturing Technology Ministry of EducationNorthwestern Polytechnical University

As an important index affecting the aerodynamic performance and the structural strength of hollow turbine blades, the wall-thickness precision of the blade is mainly inherited from the positional relationship between the corresponding wax pattern and the internal ceramic ***, due to locating errors, the actual position of ceramic core is always deviated from the ideal position, which makes it difficult to guarantee the wall-thickness precision of the wax *** solve this problem, a wall-thickness compensation strategy is proposed in this paper. Firstly,based on the industrial computed tomography(ICT) technique and curve matching algorithms, a model reconstruction method is developed, with which the 3D model of a trial wax pattern can be easily constructed. After that, focusing on eliminating the wall-thickness errors of the trial wax pattern, an optimization method for the pose of the ceramic core in the wax pattern is proposed. Then, by mapping the optimal pose of the ceramic core to length adjustments of the locating rods, the wall-thickness errors of the wax pattern can be greatly reduced. A case study is also given to illustrate the effectiveness of the proposed compensation strategy.

关键词： Hollow turbine blade Locating compensation Model reconstruction Pose optimization Wax pattern Wall-thickness error

Attentional orienting and response inhibition: insights from spatial-temporal neuroimaging

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Neuroscience Bulletin 2014年第1期30卷 141-152页

作者： Yin Tian Shanshan Liang dezhong Yao Bio-information College Chongqing University of Posts and Telecommunications Key Laboratory for NeuroInformation of Ministry of Education School of Life Science and Technology University of Electronic Science and Technology of China

Attentional orienting and response inhibition have largely been studied separately. Each has yielded important findings, but controversy remains concerning whether they share any neurocognitive processes. These conflicting findings may originate from two issues：（1） at the cognitive level, attentional orienting and response inhibition are typically studied in isolation; and （2） at the technological level, a single neuroimaging method is typically used to study these processes. This article reviews recent achievements in both spatial and temporal neuroimaging, emphasizing the relationship between attentional orienting and response inhibition. We suggest that coordinated engagement, both top-down and bottom-up, serves as a common neural mechanism underlying these two cognitive processes. In addition, the right ventrolateral prefrontal cortex may play a major role in their harmonious operation.

关键词： attentional orienting response inhibition bottom-up driven top-down control event-related potentials functional magnetic resonance imaging

Numerical Study of Classical and Composite Solar Walls by TRNSYS

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Journal of Thermal Science 2007年第1期16卷 46-55页

作者： Jibao SHEN Stéphane LASSUE Laurent ZALEWSKI dezhong HUANG School of Engineering Shaoxing College of Arts and Sciences Shaoxing University Zhejiang 312000 China Laboratoire d＇Artois de MéThermique et Instrumentation （LAMTI） Faculté des Sciences Appliquées Univeristé d＇Artois 62400 Béthune France

The laboratory LAMTI has worked for several years on the study and the optimization of the thermal performances of passive solar walls like solar Trombe wall. These components of the buildings envelope have very complex behaviour because they are the seat of various coupled heat transfers modes and are subjected to the random variations of the meteorological parameters. Using the finite difference method （FDM） and starting from experimental results recorded during several years, a simulation model was developed and validated concerning the ＂composite＂ Trombe wall. In order to make this work more accessible to the community of the heat engineers, it appears interesting to build a simulation model which can be integrated into the library of elements of the TRNSYS software. A ＂Type＂ was thus carried out and the results obtained compared with those of the FDM model. In this work we compare the obtained results with these two numerical ways. The assumptions and the results of simulations are also confronted with those of an existing module in TRNSYS （Type 36） established for the ＂classical＂ Trombe wall. The study shows that the models that we developed are very precise and that certain assumptions must be used with a lot of precautions. The advantages of the composite Trombe solar wall compared to the Classical Trombe wall are highlighted for cold and/or cloudy climates.

关键词： Trombe wall solar wall classical wall composite wall finite difference method TRNSYS

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滇藏细叶芹的质量标准研究

广东化工 2023年第11期50卷 197-200页

作者：黎嘉茗李华罗卓雅杨德忠旷复生米玛卓雅黄国凯广东省药品检验所广东广州510663 林芝市食品药品检验所西藏林芝860000

目的:研究确立滇藏细叶芹的质量标准。方法:制定滇藏细叶芹性状、显微鉴别特征及薄层鉴别的方法;测定滇藏细叶芹药材等相应的检查项,制定其合理限度,研究绿原酸含量测定法。结果:性状及鉴别方法专属性强,检查项中的水分、总灰分、酸不... 详细信息

目的:研究确立滇藏细叶芹的质量标准。方法:制定滇藏细叶芹性状、显微鉴别特征及薄层鉴别的方法;测定滇藏细叶芹药材等相应的检查项,制定其合理限度,研究绿原酸含量测定法。结果:性状及鉴别方法专属性强,检查项中的水分、总灰分、酸不溶性灰分、浸出物和绿原酸含量测定平均值分别为6.6%、5.3%、1.0%、50.3%,0.07 mg/g。结论:此研究出的方法简便、专属性强,能非常好的控制藏药滇藏细叶芹的质量。

关键词：滇藏细叶芹绿原酸质量标准显微鉴别薄层鉴别

Sleep deprivation reorganizes the dynamic configurations of default mode network activity during recovery sleep

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Science China(Technological Sciences) 2022年第7期65卷 1456-1469页

作者： CUI Yan WU ShengDun ZHAO Shi LONG TianYao JIAN ZhaoXin YU Shuang ZHANG Ge BISWAL Bharat GUO DaQing XIA yang YAO dezhong The Clinical Hospital of Chengdu Brain Science Institute MOE Key Lab for Neuro InformationCentre for Information in MedicineSchool of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengdu 611731China Department of Neurosurgery Sichuan Provincial People's HospitalUniversity of Electronic Science and Technology of ChinaChengdu 610072China Chinese Academy of Sciences Sichuan Translational Medicine Research HospitalChengdu 610072China Research Unit of Neuro Information(2019RU035) Chinese Academy of Medical SciencesChengdu 611731China Department of Biomedical Engineering New Jersey Institute of TechnologyNewarkNew Jersey 07102USA School of Electrical Engineering Zhengzhou UniversityZhengzhou 450001China

Sleep deprivation causes disturbances of the neural activity, leading to the impairment of brain functions. However, the exact mechanism of sleep deprivation and how it affects the dynamics of brain activity during the recovery sleep remains unclear. In the current study, we performed sleep deprivation experiments on ten adult rats, and recorded the local field potentials from default mode network(DMN) regions during sleep before and after sleep deprivation. The DMN dynamics was assessed with the configurations of coactive micropatterns(CAMPs) using our previously proposed CAMP method. Our analysis revealed that the effects of sleep deprivation on DMN dynamics in the slow-wave sleep(SWS) state and the rapid eye-movement sleep(REM)state were disparate. Dynamic configurations of DMN activity in the SWS state were significantly impaired after sleep deprivation, with increased occurrence of low-activity CAMP and reorganized transition structure across three CAMPs. Moreover,enhanced functional connectivity and improved efficiencies in all CAMP networks were observed during the SWS state in the recovery sleep. However, there were no significant alterations in either DMN dynamics or CAMP network structures in the REM sleep state after sleep deprivation. Our results described the alterations of DMN dynamics in different sleep states after sleep deprivation, and illustrated the differential effects of sleep deprivation on two sleep states. These findings demonstrated the underlying neural mechanisms of the effects of sleep deprivation on DMN activity during sleep and increased our understanding of the physiological roles of the DMN in maintain sleep homeostasis after sleep deprivation.

关键词： sleep deprivation sleep state default mode network coactive micropattern dynamic configuration efficiency

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