检索结果-南通市图书馆

Impact of temperature and salinity on fines detachment: AFM measurements and XDLVO theory

在线全文

学校读者我要写书评

暂无评论

Petroleum Science 2025年第1期22卷 338-347页

作者： Wei-Feng Yuan Yu-Long Yang Lu Yuan Ji-Rui hou State Key Laboratory of Petroleum Resources and Engineering China University of Petroleum Unconventional Petroleum Research Institute China University of Petroleum

Fine particle detachment and subsequent migration can lead to severe pore plugging and consequent permeability decline. Therefore, it is crucial to quantify the critical condition when fine particle detachment occurs. The frequently observed deviations or even contradictions between experimental results and theoretical predictions of fines detachment arise from an insufficient understanding of adhesion force that can be highly influenced by salinity and temperature. To clarify the intrinsic influence of salinity and temperature on fines detachment, adhesion forces between carboxyl microspheres and hydrophilic silica substrates in an aqueous medium were measured at various salinities and temperatures using atomic force microscopy(AFM). The AFM-measured adhesion force decreases with increasing salinity or temperature. Trends of mean measured adhesion forces with temperature and salinity were compared with the DLVO and XDLVO theories. DLVO theory captured the trend with temperature via the impact of temperature on electric double layer interactions, whereas XDLVO theory captured the observed trend with salinity via the impact of salinity on the repulsive hydration force. Our results highlight the significance of hydration force in accurately predicting the fate of fines in porous media.

关键词： Adhesion force AFM Temperature Salinity XDLVO Hydration force

Cotransport of nanoplastics with nZnO in saturated porous media:From brackish water to seawater

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Journal of Environmental Sciences 2025年第2期148卷 541-552页

作者： Yuanzhang hou Yange Wang Yidi Zhang Zhibo Lu Zhenbo Zhang Zhiqiang Dong Yuping Qiu Department of Environmental Science College of Environmental Science and EngineeringTongji UniversityState Key Laboratory of Pollution Control and Resources ReuseShanghai Institute of Pollution Control and Ecological SecurityShanghai 200092China School of Medicine Tongji UniversityShanghai 200065China Municipal Environmental Protection Engineering Co. Ltd of CERC Shanghai GroupShanghai 201906China China Railway Engineering Group Co. Beijing 100039China

The ocean serves as a repository for various types of artificial ***(NPs)and nano zinc oxide(nZnO),which are frequently employed in personal care products and food packaging materials,are likely simultaneously released and eventually into the ocean with surface ***,their mutual influence and shared destiny in marine environment cannot be *** study examined how nanomaterials interacted and transported through sea sand in various salinity *** showed that NPs remained dispersed in brine,while nZnO formed *** seawater of 35 practical salinity units(PSU),nZnO formed heteroaggregates with NPs,inhibiting NPs mobility and decreasing the recovered mass percentage(Meff)from 24.52%to 12.65%.In 3.5 PSU brackish water,nZnO did not significantly aggregate with NPs,and thus barely affected their ***,NPs greatly enhanced nZnO transport with Meff increasing from 14.20%to 25.08%,attributed to the carrier effect of higher mobility *** from brackishwater to seawater was simulated in salinity change experiments and revealed a critical salinity threshold of 10.4 PSU,below which the mobility of NPs was not affected by coexisting nZnO and above which nZnO strongly inhibited NP *** study highlights the importance of considering the mutual influence and shared destiny of artificial nanoparticles in the marine environment and how their interaction and cotransport are dependent on changes in seawater salinity.

关键词： Homoaggregate Heteroaggregate Transport Sea sand Salinity threshold

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

基于光纤照明技术的新型矿灯的设计及实现

照明工程学报 2010年第3期21卷 88-92页

作者：谈卫刘陈郑重侯珏徐云路华中科技大学光电子科学与工程学院武汉430074 华中科技大学武汉光电国家实验室(筹) 武汉430074

针对目前传统矿灯设计上不可避免的安全缺陷,本文提出一种基于光纤照明技术的新型矿灯——光纤-LED矿灯并给出了其原理样灯。论文描述了传统矿灯的不足和本设计的总体结构;设计了矿灯的驱动电路、充电电路、控制电路、LED与光纤的耦合... 详细信息

针对目前传统矿灯设计上不可避免的安全缺陷,本文提出一种基于光纤照明技术的新型矿灯——光纤-LED矿灯并给出了其原理样灯。论文描述了传统矿灯的不足和本设计的总体结构;设计了矿灯的驱动电路、充电电路、控制电路、LED与光纤的耦合装置及灯具二次配光系统;并利用光学模拟软件TracePro,对矿灯中光耦合装置及灯头配光系统进行了模拟仿真;论文总结了本设计的创新之处和优势及其应用前景。

关键词：矿灯光纤照明技术塑料光纤(POF) 大功率LED驱动电路光纤-LED耦合

老年冠心病患者PCI术后氯吡格雷抵抗的影响因素分析

在线全文

学校读者我要写书评

暂无评论

医学与哲学（B） 2016年第12期37卷 34-36,52页

作者：吴琼张寒珏侯素云程芮锦州医科大学武警总医院研究生培养基地辽宁锦州121000 武警总医院北京100039

利用血栓弹力图（TEG）检测老年冠心病患者经皮冠状动脉介入术（PCI）治疗后服用常规双联抗血小板方案后氯吡格雷抵抗发生率及其影响因素。收集2013年1月~2015年12月在某部队医院入院的符合入选条件患者322例,收集患者的各临床指标,根... 详细信息

利用血栓弹力图（TEG）检测老年冠心病患者经皮冠状动脉介入术（PCI）治疗后服用常规双联抗血小板方案后氯吡格雷抵抗发生率及其影响因素。收集2013年1月~2015年12月在某部队医院入院的符合入选条件患者322例,收集患者的各临床指标,根据其二磷酸腺苷（ADP）抑制率结果分组,并对两组患者进行单因素及多因素Logistic回归分析。结果322例老年冠心病PCI术后患者氯吡格雷抵抗发生率为38.2%,氯吡格雷抵抗组ADP抑制率平均为（17.92±9.28）%。将氯吡格雷抵抗的单因素分析中有意义的因素代入多因素Logistic回归分析结果得出,胆固醇、糖化血红蛋白有统计学意义（P〈0.05）。高胆固醇、高糖化血红蛋白是老年冠心病患者PCI术后氯吡格雷抵抗的独立危险因素。

关键词：老年患者氯吡格雷抵抗经皮冠状动脉介入术

在线全文

学校读者我要写书评

暂无评论

苏通大桥北接线工程无拉杆箱通施工方法

现代交通技术 2005年第2期2卷 45-49页

作者：周建华侯爵江苏省苏通大桥建设指挥部江苏南通226009

以往在箱通施工过程中,由于结构高度和截面尺寸较大的影响,腹板混凝土会对模板产生较大的侧压力,通常采用在模板上设置拉杆克服这部分压力。当前在高速公路小型构造物施工中,结构物外观越来越受到人们的重视,而施工中产生的拉杆孔洞会... 详细信息

以往在箱通施工过程中,由于结构高度和截面尺寸较大的影响,腹板混凝土会对模板产生较大的侧压力,通常采用在模板上设置拉杆克服这部分压力。当前在高速公路小型构造物施工中,结构物外观越来越受到人们的重视,而施工中产生的拉杆孔洞会对箱通外观产生负面影响。本文以苏通大桥北接线无拉杆箱通首件工程(K5+194.5)为实例,简要介绍无拉杆施工方法在大型圬工结构物施工中的应用,为今后类似工程实践提供借鉴。

关键词：苏通大桥北接线工程箱通无拉杆施工模板侧压力

Prospects on mangrove knowledge services in the smart era:From plant atlas to knowledge graphs

在线全文

学校读者我要写书评

暂无评论

Science China Earth Sciences 2025年第1期68卷 111-127页

作者： Zhi-Wei hou Wenlong JING Cheng-Zhi QIN Ji YANG Qing XIA Xiaoling YIN Key Laboratory of Guangdong for Utilization of Remote Sensing and Geographical Information System Guangdong Open Laboratory of Geospatial Information Technology and ApplicationGuangzhou Institute of GeographyGuangdong Academy of SciencesGuangzhou510070China Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou) Guangzhou511458China State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing100101China College of Resources and Environment University of Chinese Academy of SciencesBeijing100049China School of Traffic&Transportation Engineering Changsha University of Science and TechnologyChangsha410114China

Mangroves are crucial to the ecological security of the Earth and human *** management,conservation,and restoration are of great importance and necessitate the support of spatio-temporal information and multidisciplinary knowledge such as biology and *** knowledge services such as plant atlas provide illustrated textual knowledge of ***,this kind of service is oriented to information retrieval and is incapable of effectively mining and utilizing fragmented knowledge from multi-source heterogeneous data,facing the problem of“massive data,rare knowledge”.Knowledge graphs are capable of extracting,organizing,and fusing the knowledge contained in massive data into semantic networks that can be understood and computed by *** provide a solution for the realization of intelligent knowledge *** on the urgent need for mangrove knowledge acquisition,formal representation,and intelligent services,this paper proposes a research prospect on mangrove knowledge graphs and knowledge *** first analyze the similarities and differences between various domain-specific concepts of *** this basis,we define the mangrove knowledge graph as a large-scale knowledge base that integrates multi-disciplinary knowledge and spatio-temporal information with mangrove ecosystems as the ***,we propose a research framework for mangrove knowledge services that can realize the transformation from multi-modal data to intelligent knowledge services,including multiple research levels such as ubiquitous data sensing and aggregation,knowledge organization and graph construction,and intelligent mangrove knowledge ***,the methods and workflow for constructing mangrove knowledge graphs are ***,we discuss the challenges and possible future directions of mangrove knowledge services in the smart era,including the construction of a mangrove knowledge system that integrates the domain-specific charac

关键词： Mangrove Tupu Knowledge graph Multi-modal Knowledge service

华北克拉通中西部地壳S波速度结构及其地质意义

在线全文

学校读者我要写书评

暂无评论

地球物理学报 2023年第5期66卷 1960-1975页

作者：侯爵潘佳铁李永华武振波俞贵平徐涛中国地震局地球物理研究所北京100081 中国科学院地质与地球物理研究所岩石圈演化国家重点实验室北京100029 中国科学院大学北京100049 成都理工大学地球物理学院成都610059 桂林理工大学地球科学学院桂林541004 中国科学院地球科学研究院北京100029

华北克拉通是世界上最古老的克拉通之一.我们利用布设于华北中部的ChinArray计划461个宽频带地震台阵的连续波形资料,基于背景噪声成像技术,获得了克拉通中西部5~45 s的Rayleigh波群速度频散曲线,并利用线性反演方法获得了研究区地壳上... 详细信息

华北克拉通是世界上最古老的克拉通之一.我们利用布设于华北中部的ChinArray计划461个宽频带地震台阵的连续波形资料,基于背景噪声成像技术,获得了克拉通中西部5~45 s的Rayleigh波群速度频散曲线,并利用线性反演方法获得了研究区地壳上地幔顶部的S波速度结构.密集流动地震台阵使我们能够揭示研究区精细的地壳上地幔顶部速度变化,以深入探讨华北克拉通中西部深部结构及其对岩浆和地震的控制作用.8 km深度的S波速度切片显示低速与高速异常分别与地表的盆地和山脉对应良好.不同经度和纬度方向的S波速度剖面均表明,西部克拉通地壳大致可以分为上、中、下地壳三层.克拉通西部鄂尔多斯块体的下地壳S波速度介于3.7~3.8 km·s^(-1),暗示其下地壳以长英质岩石为主.大同火山区下方的S波低速异常从中地壳延伸至上地幔顶部,推测源自软流圈的地幔热流提供了近垂直的主干上涌通道,并控制了该区新生代岩浆活动.强震集中分布在上地壳高速体内部或高低速相间区,其下地壳乃至上地幔顶部都呈现明显的低速异常,推测源自上地幔/下地壳的深部热流沿地壳尺度的陡深断裂上侵,诱发上覆高应力刚性块体发生蠕动破裂与应力释放,进而诱发大震.

关键词：华北克拉通地壳结构中部造山带背景噪声孕震背景

在线全文

学校读者我要写书评

暂无评论

科技成果评估第三方机构建设研究

机电产品开发与创新 2020年第4期33卷 106-108页

作者：侯觉祁卓娅机械工业技术发展基金会北京100053

首先对我国科技成果评估工作历史情况进行梳理,并对国际上科技成果评估第三方机构的构架和运行机制进行分析。在此基础上分析我国第三方科技成果评估机构存在的问题,并对我国科技成果评估机构建设提出建议。

关键词：科技评估科技成果科技评估机构

Multi-model ensemble learning for battery state-of-health estimation:Recent advances and perspectives

在线全文

学校读者我要写书评

暂无评论

Journal of Energy Chemistry 2025年第1期100卷 739-759页

作者： Chuanping Lin Jun Xu Delong Jiang Jiayang hou Ying Liang Zhongyue Zou Xuesong Mei State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong UniversityXi’an 710049ShaanxiChina Shaanxi Key Laboratory of Intelligent Robots School of Mechanical EngineeringXi’an Jiaotong UniversityXi’an 710049ShaanxiChina Department of Electrical Engineering and Automation Luoyang Institute of Science and TechnologyLuoyang 471023HenanChina School of Mechanical Engineering Hangzhou Dianzi UniversityHangzhou 310018ZhejiangChina

The burgeoning market for lithium-ion batteries has stimulated a growing need for more reliable battery performance monitoring. Accurate state-of-health(SOH) estimation is critical for ensuring battery operational performance. Despite numerous data-driven methods reported in existing research for battery SOH estimation, these methods often exhibit inconsistent performance across different application scenarios. To address this issue and overcome the performance limitations of individual data-driven models,integrating multiple models for SOH estimation has received considerable attention. Ensemble learning(EL) typically leverages the strengths of multiple base models to achieve more robust and accurate outputs. However, the lack of a clear review of current research hinders the further development of ensemble methods in SOH estimation. Therefore, this paper comprehensively reviews multi-model ensemble learning methods for battery SOH estimation. First, existing ensemble methods are systematically categorized into 6 classes based on their combination strategies. Different realizations and underlying connections are meticulously analyzed for each category of EL methods, highlighting distinctions, innovations, and typical applications. Subsequently, these ensemble methods are comprehensively compared in terms of base models, combination strategies, and publication trends. Evaluations across 6 dimensions underscore the outstanding performance of stacking-based ensemble methods. Following this, these ensemble methods are further inspected from the perspectives of weighted ensemble and diversity, aiming to inspire potential approaches for enhancing ensemble performance. Moreover, addressing challenges such as base model selection, measuring model robustness and uncertainty, and interpretability of ensemble models in practical applications is emphasized. Finally, future research prospects are outlined, specifically noting that deep learning ensemble is poised to advance ens

关键词： Lithium-ion battery State-of-health estimation Data-driven Machine learning Ensemble learning Ensemble diversity