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分阶段目标教学在肾内科护理实习带教中的应用

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中国卫生产业 2019年第2期16卷 139-140页

作者：李晓南李波良四川省南充市中心医院肾内科四川南充637000

目的观察在肾内科护理实习生带教中应用分阶段目标教学模式的效果。方法选取2016年5月—2017年2月该院肾内科临床护理实习生64名,根据随机排列方法,分为对照组(n=32)和观察组(n=32),对照组实施传统带教模式,观察组实施分阶段目标教学模... 详细信息

目的观察在肾内科护理实习生带教中应用分阶段目标教学模式的效果。方法选取2016年5月—2017年2月该院肾内科临床护理实习生64名,根据随机排列方法,分为对照组(n=32)和观察组(n=32),对照组实施传统带教模式,观察组实施分阶段目标教学模式,对比两组肾内科护理实习生的知识掌握程度以及病历书写能力、理论能力、操作能力。结果观察组护理实习生知识掌握程度以及病历书写能力、理论能力、操作能力均优于对照组,结果差异有统计学意义(P<0.05)。结论应用分阶段目标教学模式,能够有效提高该院肾内科护理实习生知识掌握能力,增强病历书写能力、理论能力和操作能力,临床具有广泛使用意义。

关键词：护理分阶段目标教学模式实习带教肾内科

新型磷酸单酯PVA聚阴离子电解质膜材料的合成及性能

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功能材料 2007年第8期38卷 1339-1341页

作者：孟平蕊李良波荣凤玲李若昕刘雪春陈翠仙李继定济南大学化学与化工学院山东济南250022 南京工业大学制药与生命科学学院江苏南京210009 清华大学化工系北京100084

采用磷酸和聚乙烯醇(PVA)在尿素存在下发生单酯化反应,合成了一种新型聚阴离子电解质磷酸单酯PVA(PMPVA)。考察了反应时间、反应温度、磷酸用量、尿素用量对取代度的影响。利用傅立叶变换红外光谱(FT-IR)、扫描电镜(SEM)对PMPVA的结构... 详细信息

采用磷酸和聚乙烯醇(PVA)在尿素存在下发生单酯化反应,合成了一种新型聚阴离子电解质磷酸单酯PVA(PMPVA)。考察了反应时间、反应温度、磷酸用量、尿素用量对取代度的影响。利用傅立叶变换红外光谱(FT-IR)、扫描电镜(SEM)对PMPVA的结构进行了表征,PMPVA的导电和耐热性随取代度的增大而提高。将PMPVA及PMPVA/季铵化聚阳离子PVA(QAPVA)复合物制备的渗透汽化复合膜,用于乙醇/水体系进行渗透汽化分离。PMPVA对水的分离因子α为637,渗透通量J为3903g/(m2.h);PMPVA/QAPVA复合物膜对水的分离因子α为1890、渗透通量J为520g/(m2.h)。

关键词：聚阴离子电解质磷酸单酯聚乙烯醇渗透汽化膜

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PVA基聚离子复合物膜的结构与性能研究

材料工程 2011年第6期39卷 63-66页

作者：张艳梅孟平蕊王晓慧于浩强李良波济南大学化学化工学院济南250022

聚乙烯醇接枝聚乙烯氯化铵(PVA-g-PVAC)与聚乙烯醇接枝聚丙烯酸钠(PVA-g-SPA)自组装PVA基聚离子复合物(PPIC)。利用红外光谱(IR)对PPIC的结构进行表征。PPIC膜的SEM照片表面呈现有序孔状结构,有利于水的吸收。采用差示扫描量热法(DSC)... 详细信息

聚乙烯醇接枝聚乙烯氯化铵(PVA-g-PVAC)与聚乙烯醇接枝聚丙烯酸钠(PVA-g-SPA)自组装PVA基聚离子复合物(PPIC)。利用红外光谱(IR)对PPIC的结构进行表征。PPIC膜的SEM照片表面呈现有序孔状结构,有利于水的吸收。采用差示扫描量热法(DSC)测定了PPIC的耐热性。PPIC水溶液pH=5(反离子等摩尔复合)时,膜耐水性最好;PPIC膜的耐水性随乙醇浓度的增加或膜退火温度升高而提高。测定了PPIC复合膜对93%(体积分数)高浓度乙醇废水的渗透汽化性能,分离因子980,渗透通量1485g.(m2h)-1。

关键词：聚乙烯醇接枝聚乙烯氯化铵聚乙烯醇接枝聚丙烯酸钠 PVA基聚离子复合物乙醇/水膜分离

TMED3 promotes prostate cancer via FOXO1a and FOXO3a phosphorylation

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Oncology Research 2025年第1期33卷 161-169页

作者： XIUWANG WEI JIANbo liang HUANWEN HUANG DAMING YANG XINXIN WANG XIUJIA WANG CHANGSHENG CHEN KAIQIANG li TAISEN PANG BIN HU FENGNING WU Department of Urology The People’s Hospital of Guangxi Zhuang Autonomous RegionNanning530000China Department of Rehabilitation The People’s Hospital of Guangxi Zhuang Autonomous RegionNanning530000China

Background:Transmembrane emp24 trafficking protein 3(TMED3)is associated with the development of several tumors;however,whether TMED3 regulates the progression of prostate cancer remains *** and Methods:Short hairpin RNA was performed to repress TMED3 in prostate cancer cells(DU145 cells)and in a prostate cancer mice model to determine its function in prostate cancer in vitro and in ***:In the present study,we found that TMED3 was highly expressed in prostate cancer *** vitro,shTMED3 treatment suppressed the proliferation,invasion,and migration and promoted the apoptosis of DU145 ***,the Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis showed a strong correlation between TMED3 and forkhead box O transcription factor(FOXO)***,TMED3 inhibition efficiently decreased FOXO1a and FOXO3a *** vivo,TMED3 downregulation suppressed the apoptosis,growth,and metastasis of prostate cancer cells via FOXO1a and ***:The present findings show that TMED3 participates in the regulation of prostate cancer progression via FOXO1a and FOXO3a phosphorylation,thereby revealing a novel mechanism underlying prostate cancer development and suggesting that TMED3 inhibition may serve as a novel strategy for prostate cancer treatment.

关键词： Prostate cancer Transmembrane emp24 trafficking protein 3(TMED3) forkhead box O transcription factor(FOXO) Proliferation Apoptosis

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相控随机建模在储层中的应用研究

辽宁化工 2012年第10期41卷 1073-1074,1096页

作者：周雕李博良西安石油大学陕西西安710065 长庆油田第五采油厂陕西西安710018

储层随机模拟技术能有效地描述储层非均质性,定量化研究储层评价中的不确定性,已在储层建模领域应用越来越广泛。然而建立储层沉积相模型是储层随机建模的重中之重。本文通过实例,建立三维相模型,储层物性模型,并对储层开展了随机建模... 详细信息

储层随机模拟技术能有效地描述储层非均质性,定量化研究储层评价中的不确定性,已在储层建模领域应用越来越广泛。然而建立储层沉积相模型是储层随机建模的重中之重。本文通过实例,建立三维相模型,储层物性模型,并对储层开展了随机建模研究。所建立的三维储层地质模型,为准确评价油气田储层性质,井网调整,以及剩余油挖潜提供了可靠依据。

关键词：随机建模沉积相模型三维储层地质模型

Co@C-N as an electronic mediator anchored with Cu2O nanoparticles enables efficient photoreduction of CO2 to CO with nearly 100% selectivity

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Science China Chemistry 2025年

作者： Xingbin Pan Xiuzheng Deng Jingshan Fan Jiangchuan liu Changhai liu Zhongyu li Qian liang Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology CNPC-CZU Innovation Alliance School of Petrochemical Engineering Changzhou University School of Materials Science & Engineering Changzhou University

Solar-driven CO2conversion into value-added chemical provides an attractive strategy for sustainable development. However,the enhanced CO2photoreduction performance with target product selectivity remains a major challenge. Here, we develop a novel strategy involving Cu2O nanoparticles in situ grown on the surface of ZIF-67-derived Co@C-N nanocages （CC） to create abundant active sites and appropriate heterointerfaces. A remarkable CO selectivity of 95.7%with a yield of 117.39μmol g-1h-1and an apparent quantum efficiency as high as 1.88%at 420 nm was obtained over CC-60 catalyst in pure water, which was 87.6times higher than that of pure Cu2O. Theoretical calculations and experiments indicated that Co@C-N nanocages as charge mediator not only rapidly trap photogenerated electrons to promote charge separation efficiency, but also regulate the d-band center of Cu atoms to move to the Fermi energy level, thereby optimizing the reaction kinetics to facilitate the highly selective conversion of the key intermediate *CO desorption to CO.

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Effects of Ti-and Nb-based transition element from single to multiple compound oxides and carbon-based composite additives on Mg-MgH2 hydrogen storage material

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Tungsten 2025年第1期7卷 32-49页

作者： li-Rong Xiao Chen Chen Shuo Wang Zi-Yin Dai Hideo Kimura Cui Ni Chuan-Xin Hou Xue-Qin Sun Si-Jie Guo Wei Du Xiu-bo Xie School of Environmental and Material Engineering Yantai University bosch HUAYU Steering Systems (Yantai) Co. Ltd.Ytp/MFE University of Tennessee Knoxville Shandong Key Laboratory of Eco-Environmental Science for the Yellow River Delta Shandong University of Aeronautics

MgH2is considered as a promising hydrogen storage material for its high hydrogen storage capacity,low cost and abundant resource ***,the low kinetics and high enthalpy formation of MgH2limit its wide *** the perspective of adding catalysts to enhance the hydrogen storage properties of Mg-MgH2,this article elaborated the main catalysts based on Ti and Nb transition elements,including single oxide catalysts,binary oxides catalysts（combined with Ni,Na,Sr,V,etc.）,multiple catalysts bound to carbon,and composite catalysts with Ti and Nb elements combined with MXene ***,the main pathways of various catalysts to reduce the reaction activity and broaden the hydrogen desorption channel were also *** Ti-based catalysts can enhance the reactive sites of the matrix by forming multivalent states,while Nb-based catalysts broaden the hydrogen reaction channels by forming tiny *** improving the size structure and enhancing the grain size stability,combined with carbon materials should be the future considerations.

关键词： Catalysts Mg-based hydrogen storage alloys Solid hydrogen storage Transition metal elements

Deep learning-based software engineering: progress,challenges, and opportunities

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Science China(Information Sciences) 2025年第1期68卷 57-144页

作者： Xiangping CHEN Xing HU Yuan HUANG He JIANG Weixing JI Yanjie JIANG Yanyan JIANG bo liU Hui liU Xiaochen li Xiaoli liAN Guozhu MENG Xin PENG Hailong SUN lin SHI bo WANG Chong WANG Jiayi WANG Tiantian WANG Jifeng XUAN Xin XIA Yibiao YANG Yixin YANG li ZHANG Yuming ZHOU Lu ZHANG School of Journalism and Communication Sun Yat-sen University School of Software Technology Zhejiang University School of Software Engineering Sun Yat-sen University School of Software Dalian University of Technology School of Computer Science and Technology Beijing Institute of Technology Key Laboratory of High Confidence Software Technologies (Peking University) Ministry of EducationSchool of Computer Science Peking University State Key Laboratory for Novel Software Technology Nanjing University School of Computer Science and Engineering Beihang University Institute of Information Engineering Chinese Academy of Sciences School of Computer Science Fudan University State Key Laboratory of Complex & Critical Software Environment (CCSE) School of Software Beihang University School of Computer and Information Technology Beijing Jiaotong University School of Computer Science and Technology Harbin Institute of Technology School of Computer Science Wuhan University Huawei Technologies

Researchers have recently achieved significant advances in deep learning techniques, which in turn has substantially advanced other research disciplines, such as natural language processing, image processing, speech recognition, and software engineering. Various deep learning techniques have been successfully employed to facilitate software engineering tasks, including code generation, software refactoring, and fault localization. Many studies have also been presented in top conferences and journals, demonstrating the applications of deep learning techniques in resolving various software engineering tasks. However,although several surveys have provided overall pictures of the application of deep learning techniques in software engineering,they focus more on learning techniques, that is, what kind of deep learning techniques are employed and how deep models are trained or fine-tuned for software engineering tasks. We still lack surveys explaining the advances of subareas in software engineering driven by deep learning techniques, as well as challenges and opportunities in each subarea. To this end, in this study, we present the first task-oriented survey on deep learning-based software engineering. It covers twelve major software engineering subareas significantly impacted by deep learning techniques. Such subareas spread out through the whole lifecycle of software development and maintenance, including requirements engineering, software development, testing, maintenance, and developer collaboration. As we believe that deep learning may provide an opportunity to revolutionize the whole discipline of software engineering, providing one survey covering as many subareas as possible in software engineering can help future research push forward the frontier of deep learning-based software engineering more systematically. For each of the selected subareas,we highlight the major advances achieved by applying deep learning techniques with pointers to the available datasets i

关键词： deep learning software engineering software benchmark software artifact representation survey

Optimization Model for Inter-regional Emergency Power Dispatch Considering Transmission Rights Allocation

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Dianwang Jishu/Power System Technology 2025年第1期49卷 223-231页

作者： Guan, Jinyu liang, Zhifeng Chang, li Cao, Rongzhang li, lili NARI Group Corporation State Grid Electric Power Research Institute Jiangsu Province Nanjing 211106 China NARI Technology Co. Ltd. Jiangsu Province Nanjing 211106 China Department of Electrical Engineering Tsinghua University Haidian District Beijing 100084 China National Power Dispatch and Control Centre Xicheng District Beijing 100031 China

Inter-regional emergency power dispatch refers to the mandatory fallback guarantee measures for ensuring supply or absorption of emergency demands within provincial grids when market-based approaches have been exhausted from the perspective of mutual assistance in electricity surplus and shortage across provinces and regions. When it is impossible to rely on market declarations directly, how to allocate emergency demands and inter-provincial/regional support capacities and distribute the limited available transfer capacity reasonably among market entities is one of the key issues urgently needing to be addressed in current emergency dispatch. This paper proposes an optimization model for inter-provincial and inter-regional emergency power dispatch considering transmission rights. Inspired by China's current mechanism for allocating transmission channel revenue rights, based on local prioritization and the urgency of emergency demands, a method for determining the priority of emergency transactions considering transmission rights allocation is proposed. This method transforms transmission rights into priority transaction rights, addressing the lack of a reasonable basis for transmission capacity allocation in the emergency dispatch phase. Considering constraints such as available transfer capacity, transaction flow balance, and transaction point power balance constraints, to maximize adjusted social welfare, a clearing model for emergency dispatch optimization considering transaction path priority is constructed. Comparative analysis of the optimization results of three 1e clearing modes, price-based sequential clearing, scenario-based separation, and clearing with transaction path priority, validates the effectiveness and superiority of the proposed optimization clearing model and analyzes the impact of related parameter settings on the clearing results. © 2025 Power System Technology Press. All rights reserved.

关键词： Commerce