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Reservoir-forming conditions and key exploration & development techniques for Xushen gas field in Northeast China

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Petroleum Research 2019年第2期4卷 125-147页

作者： Fenglan wang yongzhuo wang Xuemin Zhou Changhai Yin Ping Shu Baojun Cao Yingkang Zhu Exploration and Development Research Institute Daqing Oilfield Co.Ltd.Daqing163712China

Exploration and development of volcanic gas reservoirs is a world-class problem,and less experience can be learned at home and abroad.Through study of reservoir-forming conditions of Xushen gas field,four sets of hydrocarbon source rocks,mainly mudstone and coal seam of Shahezi Formation,are identified in this gas field;its cap rocks are mudstone in Member 2 of Denglouku Formation,and Member 1 and Member 2 of Quantou Formation.By simulating reservoir-forming history,four filling periods of the Xushen gas field are determined,and the most favorable exploration targets are crater areas with structural highs,large thickness and good physical properties.On the basis of diagenetic mechanism study,the criteria of sequence series,lithology identification and reservoir types of gas reservoirs have been established;the volcanic rock bodies have been carefully depicted and the distribution laws of effective reservoirs of gas pools have been figured out.Based on evaluating reservoir-permeability characteristics of reservoirs,the gas well productivity characteristics(mainly type II,III and IV wells)have been identified,and the optimum design technology for volcanic gas reservoir development has been developed.The gas reservoirs in all blocks of Xushen gas field are classified into three types:singlebody gas reservoir model,disconnected multi-body gas reservoir model and interconnected multi-body gas reservoir model.Stimulation technologies,including multi-layer fracturing of vertical well,staged fracturing of open-hole horizontal well and volume fracturing,have been developed.According to gas well production performance,pressure change,well-controlled reserves and spatial distribution of volcanic bodies,combined with numerical simulation and prediction of gas reservoirs,the evaluation method of residual potential of volcanic gas reservoirs has been formed.Key technologies for effective exploration and development of complex volcanic gas reservoirs have been established and perfected,and bring good development effect.The rese

关键词： Xushen gas field Reservoireforming conditions Volcanic rock Development Productivity Optimum design

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基于疾病修饰的大疱性类天疱疮治疗进展

中国麻风皮肤病杂志 2024年第5期40卷 371-376页

作者：吴倩姜福琼游淑琼王媛吴永卓昆明医科大学第二附属医院皮肤科云南昆明650101

大疱性类天疱疮(bullous pemphigoid,BP)主要治疗方式为使用糖皮质激素和免疫抑制剂,而长期使用这些药物可能出现严重的不良反应,且病情复发率较高。近年来,随着BP疾病修饰的相关研究不断深入,BP的靶向治疗受到很大关注,越来越多的新型... 详细信息

大疱性类天疱疮(bullous pemphigoid,BP)主要治疗方式为使用糖皮质激素和免疫抑制剂,而长期使用这些药物可能出现严重的不良反应,且病情复发率较高。近年来,随着BP疾病修饰的相关研究不断深入,BP的靶向治疗受到很大关注,越来越多的新型药物应用于临床。本文基于BP疾病修饰的相关研究,对当前BP新靶点药物的研究进展进行综述。

关键词：大疱性类天疱疮靶向治疗疾病修饰治疗机制小分子抑制剂

Localized delivery of nanomedicine and antibodies for combating COVID-19

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Acta Pharmaceutica Sinica B 2023年第5期13卷 1828-1846页

作者： Bin Tu Yanrong Gao Xinran An Huiyuan wang yongzhuo Huang State Key Laboratory of Drug Research Shanghai Institute of Materia MedicaChinese Academy of SciencesShanghai 201203China University of Chinese Academy of Sciences Beijing 100049China University of Michigan College of Pharmacy Ann ArborMI 48109USA Zhongshan Institute for Drug Discovery SIMMCASZhongshan 528437China NMPA Key Laboratory for Quality Research and Evaluation of Pharmaceutical Excipients Shanghai 201203China Taizhou University School of Advanced StudyInstitute of Natural Medicine and Health ProductTaizhou 318000China

The severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)pandemic has been a major health burden in the world.So far,many strategies have been investigated to control the spread of COVID-19,including social distancing,disinfection protocols,vaccines,and antiviral treatments.Despite the significant achievement,due to the constantly emerging new variants,COVID-19 is still a great challenge to the global healthcare system.It is an urgent demand for the development of new therapeutics and technologies for containing the wild spread of SARS-CoV-2.Inhaled administration is useful for the treatment of lung and respiratory diseases,and enables the drugs to reach the site of action directly with benefits of decreased dose,improved safety,and enhanced patient compliance.Nanotechnology has been extensively applied in the prevention and treatment of COVID-19.In this review,the inhaled nanomedicines and antibodies,as well as intranasal nanodrugs,for the prevention and treatment of COVID-19 are summarized.

关键词： SARS-CoV-2 COVID-19 Nanomedicine Orally-inhaled delivery Intranasal delivery Antibody

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二维码技术在医疗设备管理中的应用效果

医疗装备 2024年第7期37卷 57-59,63页

作者：叶永焯佛山市南海区第五人民医院广东佛山528200

目的探讨二维码技术在医疗设备管理中的应用效果。方法选取2021年5月至2022年5月医院28台医疗设备,按照管理方法不同分组,未应用二维码技术管理的14台医疗设备为对照组,应用二维码技术管理的14台医疗设备为研究组。比较两组管理费用、... 详细信息

目的探讨二维码技术在医疗设备管理中的应用效果。方法选取2021年5月至2022年5月医院28台医疗设备,按照管理方法不同分组,未应用二维码技术管理的14台医疗设备为对照组,应用二维码技术管理的14台医疗设备为研究组。比较两组管理费用、设备维修时间、网络维修时间、中心数据完整性、安全用网、网络安全问题发生率。结果研究组管理费用、设备维修时间、网络维修时间均低于对照组(P<0.05);研究组中心数据完整性、安全用网高于对照组(P<0.05),网络安全问题发生率低于对照组(P<0.05)。结论医疗设备管理中应用二维码技术,有助于降低设备管理费用、缩减维修时间,在保证数据安全的同时还可减少网络安全事件的发生。

关键词：二维码技术医疗设备管理挑战机遇

Probabilistic movement primitive based motion learning for a lower limb exoskeleton with black-box optimization

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Frontiers of Information Technology & Electronic Engineering 2023年第1期24卷 104-116页

作者： Jiaqi wang yongzhuo GAO Dongmei WU Wei DONG State Key Laboratory of Robotics and Systems Harbin Institute of TechnologyHarbin 150001China

As a wearable robot,an exoskeleton provides a direct transfer of mechanical power to assist or augment the wearer’s movement with an anthropomorphic configuration.When an exoskeleton is used to facilitate the wearer’s movement,a motion generation process often plays an important role in high-level control.One of the main challenges in this area is to generate in real time a reference trajectory that is parallel with human intention and can adapt to different situations.In this paper,we first describe a novel motion modeling method based on probabilistic movement primitive(ProMP)for a lower limb exoskeleton,which is a new and powerful representative tool for generating motion trajectories.To adapt the trajectory to different situations when the exoskeleton is used by different wearers,we propose a novel motion learning scheme based on black-box optimization(BBO)PIBB combined with ProMP.The motion model is first learned by ProMP offline,which can generate reference trajectories for use by exoskeleton controllers online.PIBB is adopted to learn and update the model for online trajectory generation,which provides the capability of adaptation of the system and eliminates the effects of uncertainties.Simulations and experiments involving six subjects using the lower limb exoskeleton HEXO demonstrate the effectiveness of the proposed methods.

关键词： Lower limb exoskeleton Human-robot interaction Motion learning Trajectory generation Movement primitive Black-box optimization

Integral Real-time Locomotion Mode Recognition Based on GA-CNN for Lower Limb Exoskeleton

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Journal of Bionic Engineering 2022年第5期19卷 1359-1373页

作者： Jiaqi wang Dongmei Wu yongzhuo Gao Xinrui wang Xiaoqi Li Guoqiang Xu Wei Dong State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150001China Weapon Equipment Research Institute China South Industries Group CorporationBeijing 102202China

The wearable lower limb exoskeleton is a typical human-in-loop human–robot coupled system,which conducts natural and close cooperation with the human by recognizing human locomotion timely.Requiring subject-specific training is the main challenge of the existing approaches,and most methods have the problem of insufficient recognition.This paper proposes an integral subject-adaptive real-time Locomotion Mode Recognition(LMR)method based on GA-CNN for a lower limb exoskeleton system.The LMR method is a combination of Convolutional Neural Networks(CNN)and Genetic Algorithm(GA)-based multi-sensor information selection.To improve network performance,the hyper-parameters are optimized by Bayesian optimization.An exoskeleton prototype system with multi-type sensors and novel sensing-shoes is used to verify the proposed method.Twelve locomotion modes,which composed an integral locomotion system for the daily application of the exoskeleton,can be recognized by the proposed method.According to a series of experiments,the recognizer shows strong comprehensive abilities including high accuracy,low delay,and sufficient adaption to different subjects.

关键词： Locomotion mode recognition Gait mode detection Lower limb exoskeleton Convolutional neural network Genetic algorithm Bionic design

安徽省农业生产碳排放测算及驱动因子的典型相关分析

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现代农业科技 2024年第1期 122-127,132页

作者：张乐勤陈永卓池州学院自然资源遥感应用研究中心安徽池州247000 池州市生态资源产业化研究中心安徽池州247000 池州学院地理与规划学院安徽池州247000

探索农业生产碳排放强度驱动因子,对制定低碳农业发展规划及目标具有重要启示意义。运用IPCC碳排放测度模型,测算了2005—2020年安徽省农业生产碳排放情况,采用典型相关分析方法,考察了农业生产碳排放效率驱动因子。结果表明,安徽省农... 详细信息

探索农业生产碳排放强度驱动因子,对制定低碳农业发展规划及目标具有重要启示意义。运用IPCC碳排放测度模型,测算了2005—2020年安徽省农业生产碳排放情况,采用典型相关分析方法,考察了农业生产碳排放效率驱动因子。结果表明,安徽省农业生产碳排放由2005年的987.40万t攀升至2020年的1227.59万t,年均增长1.46%。农业生产碳排强度由2005年的1.21 t/万元下降至2020年的0.49 t/万元,年均下降5.85%;农业生产碳排放与其强度呈显著剪刀差态势,两者间夹角达33.52°。农业科技创新、农机化水平、农业生产结构与农业生产碳排放强度典型相关系数分别为-0.652、-1.728、-0.562,均为农业生产碳排放强度下降的动力因子;规制政策、城镇化水平、农村经济发展水平与农业生产碳排放强度典型相关系数分别为0.085、0.619、1.232,为农业生产碳排放强度下降的制约因子。基于研究结果,提出了安徽省发展低碳农业的政策建议。

关键词：农业生产碳排放驱动因子典型相关分析安徽省

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高通量测序标准物质的研究进展

计量学报 2024年第1期45卷 128-134页

作者：刘杨苏照中曾凡俊袁惠君张永卓兰州理工大学生命科学与工程学院甘肃兰州730050 中国计量科学研究院北京100029 海关总署(北京)国际旅行卫生保健中心北京100013

高通量测序技术的出现使基因序列得到了广泛研究。由于遗传物质的复杂性以及在样品准备、测序和分析过程中引入的技术错误和不同测序平台之间的系统偏差,导致高通量测序结果在准确性和各平台一致性方面受到影响。而在测序流程中使用标... 详细信息

高通量测序技术的出现使基因序列得到了广泛研究。由于遗传物质的复杂性以及在样品准备、测序和分析过程中引入的技术错误和不同测序平台之间的系统偏差,导致高通量测序结果在准确性和各平台一致性方面受到影响。而在测序流程中使用标准物质可以很好地解决这些问题。高通量测序标准物质通常是具有良好特征的遗传物质或合成的添加对照物和模拟的电子数据集,高通量测序标准物质的应用将有助于校准高通量测序的测量结果和评估仪器性能,对确保测序结果的准确性、一致性至关重要。

关键词：生物计量高通量测序标准物质质量控制

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基于并行块的自适应量化随机计算

华东师范大学学报（自然科学版） 2024年第2期 76-85页

作者：张永卓诸葛晴凤沙行勉宋玉红华东师范大学计算机科学与技术学院上海200062

深度神经网络模型的庞大存储和高计算量的需求限制了其在面积和功耗受限的嵌入式设备上的部署.为了解决这一问题,随机计算将数据表示为一个随机序列,继而通过基本逻辑运算单元实现加法和乘法等算术运算,以减小神经网络的存储空间和降低... 详细信息

深度神经网络模型的庞大存储和高计算量的需求限制了其在面积和功耗受限的嵌入式设备上的部署.为了解决这一问题,随机计算将数据表示为一个随机序列,继而通过基本逻辑运算单元实现加法和乘法等算术运算,以减小神经网络的存储空间和降低计算复杂度.然而,当随机序列的长度较短时,网络权重在从浮点数转换到随机序列的过程中存在离散化误差,这会降低随机计算网络模型的推理准确率.尽管使用更长的随机序列可以扩大随机序列的表示范围以缓解这一问题,但也会导致更长的计算时延和更大的能源功耗.本文提出了一种基于傅立叶变换的可微量化函数的设计,可以在网络的训练过程中,通过提高模型对随机序列的匹配度,来减小数据转换过程中的离散化误差,从而保证较短随机序列的随机计算神经网络的准确率.此外,还设计了一种加法器,用于提高运算单元的准确性,并通过将输入分块来并行计算以进一步缩短时延.最后,通过实验表明,本文相较于其他方法可以提高20%的模型推理准确率,并能够达到缩短50%的计算时延.

关键词：随机计算量化神经网络优化

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