Concept and evaluation of bay health:the role of numerical model in the Yueqing Bay,China

To better evaluate the three-dimensional bay health and predict the dynamic bay health conditions, a concept of numerical bay health was introduced and a method of numerical bay health evaluation（NBHE） was developed.To support the NBHE method, a numerical bay health index（NBHI） system was constructed, which assess the natural and socio-economic effects on the entire bay. Five index groups are combined to formulate the NBHI,including geometry, hydrodynamics and sediment dynamics, bio-ecology, water quality and socio-economy.Each group has different number of indices selected and weighted using AHP method according to their importance. Data were mainly synthesized from a variety of numerical models together with monitoring programs, which provide superior to other approaches in discriminating data integrity and predicting data in future. The NBHE method using NBHI system was applied in the Yueqing Bay during spring tide in April 2007.According to the NBHE results, Sta. A, at the surface level of the estuarine mouth, has a healthy geometry condition, sub-healthy hydrodynamic and sediment dynamic condition, and unhealthy water quality and bioecology conditions. The integrated healthy score at Sta. A indicates its sub-healthy condition.

A Grey Fuzzy Comprehensive Model for Evaluation of Geological Structure Complexity

Several structure sets （faults and folds） are characterized by their self-similarity properties. Herein, we discuss the degrees of complexity of fractures by introducing the box-counting fractal dimension of faults as a key criterion to be used in comprehensive fuzzy analysis model for evaluation of the complexity of structures. Totally, eight criteria including density, intensity, length of faults, types and box-counting fractal dimension of faults, the intersection angle between faults and coal beds, gradient coefficients, dip angles of the coal beds, and variation coefficients of dip angles of the coal seams, were used for the evaluation purpose. The grey fuzzy comprehensive assessment model was used to rank the relative importance of these criteria. Scores indicating the complexity of structure were calculated on the base of criteria values and their weights for each sub-area of the study area in the Pansan （潘三） coal mine district in the southern Anhui （安徽） Province, China. The result on the calculated complexity of structure is useful for mining planning in the study area.

Research on Evaluation of Degree of Complexity of Mining Fault Network Based on GIS

A large number of spatial and attribute data are involved in coal resource evaluation. Database is a relatively advanced data management technology, but its Major defects are the poor graphic and spatial data functions, from which it is difficult to realize scientific management of evaluation data with spatial characteristics and evaluation result maps. On account of these deficiencies, the evaluation of degree of complexity of mining fault network, based on GIS, is proposed, which integrates management of spatial and attribute data. Fractal is an index which can reflect the comprehensive information of faults' number, density, size, composition and dynamics mechanism. Fractal dimension is used as the quantitative evaluation index. Evaluation software has been developed based on a component GIS-MapX, with which the degree of complexity of fault network is evaluated quantitatively using the quantitative index of fractal dimensions in Liuqiao No.2 coal mine as an example. Results show that it is effective in acquiring model parameters and enhancing the definition of data and evaluation results with the application of GIS technology. The fault network is a system with fractal structure and its complexity can be described reasonably and accurately by fractal dimension, which provides an effective method for coal resource evaluation.

Development and application of a two-dimensional water quality model for the Daqinghe River Mouth of the Dianchi Lake

Water quality models are important tools to support the optimization of aquatic ecosystem rehabilitation programs and assess their efficiency. Basing on the flow conditions of the Daqinghe River Mouth of the Dianchi Lake, China, a two-dimensional water quality model was developed in the research. The hydrodynamics module was numerically solved by the alternating direction iteration （ADI） method. The parameters of the water quality module were obtained through the in situ experiments and the laboratory analyses that were conducted from 2006 to 2007. The model was calibrated and verified by the observation data in 2007. Among the four modelled key variables, i.e., water level, COD （in CODcr）, NH4＋-N and PO43-P the minimum value of the coefficient of determination （COD） was 0.69, indicating the model performed reasonably well. The developed model was then applied to simulate the water quality changes at a downstream cross-section assuming that the designed restoration programs were implemented. According to the simulated results, the restoration programs could cut down the loads of COD and PO43-P about 15%. Such a load reduction, unfortunately, would have very little effect on the NH4^＋-N removal. Moreover, the water quality at the outlet cross-section would be still in class V （3838-02）, indicating more measures should be taken to further reduce the loads. The study demonstrated the capability of water quality models to support aquatic ecosystem restorations.

Three-dimensional evaluation of inclusion particles in steel

The estimation of inclusion particles has a relation close to the control of steel grain growth as well as the production of clean steel.In present study,the electrolytic extraction methods using nonaqueous electrolyte have been examined for the extraction of various inclusion particles,in order to evaluate their three-dimensional morphologies and compositional segregations.The cross section of fine inclusion particle,which was prepared by focused ion beam method,was qualitatively analyzed using Auger electron spectroscopy.From the results obtained by this method,the formation mechanism of complex inclusion particle could be explained clearly.

Cartilage oligomeric matrix protein enhances the vascularization of acellular nerves

Vascularization of acellular nerves has been shown to contribute to nerve bridging.In this study,we used a 10-mm sciatic nerve defect model in rats to determine whether cartilage oligomeric matrix protein enhances the vascularization of injured acellular nerves.The rat nerve defects were treated with acellular nerve grafting（control group） alone or acellular nerve grafting combined with intraperitoneal injection of cartilage oligomeric matrix protein（experimental group）.As shown through two-dimensional imaging,the vessels began to invade into the acellular nerve graft from both anastomotic ends at day 7 post-operation,and gradually covered the entire graft at day 21.The vascular density,vascular area,and the velocity of revascularization in the experimental group were all higher than those in the control group.These results indicate that cartilage oligomeric matrix protein enhances the vascularization of acellular nerves.

基于无人机技术的露天矿山越界开采监测与评估方法

高效快速评估露天矿山越界开采对开展矿产卫片执法检查和推进严格保护矿产资源策略、推动区域高质量发展具有重要意义。基于无人机飞行技术、传感器技术、通信技术和影像处理技术,结合卫星遥感、地理信息系统应用,采集无人机航测数据与飞控系统数据,快速获取了疑似违法矿山二维场景图像(SIM),动态飞行展示矿区全貌和精细地物;进一步建立了矿山三维数字高程模型(DEM),定性研判违法类型与性质;针对需求建立了矿山的三维数字表面模型(DSM),定量估算违法采矿资源量;利用四维数字表面模型(DSM),查明矿山历史时期的违法过程,测算违法开采的资源量。无人机航测技术实现区域矿产资源开发秩序的快速监测和精细评估,为矿产资源的卫片执法检查工作提供理论支撑和决策依据。在江南某地进行试验的实例表明,基于无人机技术的露天矿山越界开采监测与评估方法技术具有时效性强、操作便捷、精细高效等优势,在支撑服务自然资源领域的卫片执法检查工作方面可以更加广泛地应用。

基于Delphi法构建手术室围术期低体温预防管理评价指标体系

目的 构建手术室围术期低体温预防管理评价指标体系。方法 2022年2月,以结构-过程-结果三维质量评价模式为理论框架,参考相关文献拟定手术室围术期低体温预防管理评价指标体系,采用德尔菲法对来自手术室护理管理、院内感染、麻醉领域的23名专家进行2轮专家函询,采用优序图法确定指标权重系数。结果 2轮专家函询的积极系数分别为100.0%和95.7%,专家权威系数分别为0.946和0.934,各项指标变异系数(CV)均<0.25,Kendall’s W值分别为0.419和0.359(均P<0.001),最终构建了包含3项一级指标、9项二级指标、53项三级指标的手术室围术期低体温预防管理评价指标体系。结论基于Delphi法构建手术室围术期低体温预防管理评价指标体系有较好的科学性和可靠性,可为手术室护理管理者提供参考,有利于临床开展科学、规范、统一的质量评价。

基于组合赋权三维云评估技术的深部煤矿顶板事故风险分析

为了更好地对深部煤矿顶板事故展开风险评价,提出了组合赋权三维云评估技术。基于事故统计及事故致因理论,对深部煤矿顶板事故风险指标体系展开研究,采用博弈论对改进层次分析法(Analytic Hierarchy Process,AHP)和熵权法进行博弈分析,以实现风险指标的组合赋权,通过构建三维云模型,对深部煤矿顶板事故危险性进行可视化分析。结果表明:包括行为、技术、设备、环境、管理5大风险因素在内的一级指标并其下20个二级风险指标是深部煤矿顶板事故风险评价指标体系的主体内容,且以环境风险权重最大;由三维云评估技术分析可知,平煤九矿的顶板事故风险级别为Ⅲ级,即修复后可接受,与该矿生产实际情况相符。组合赋权三维云评估技术的提出有助于完善深部煤矿顶板事故风险评价方法,可应用于工程实践。

Educational Assistance Through Modeling in Tsukuba University of Technology-Professional Education for the Hearing or Visually Impaired

The National University Corporation Tsukuba University of Technology（NTUT） is the only institute of higher education for the hearing and the visually impaired in Japan. In our university, hearing or visually impaired students are studying to be technicians after they graduate, toward social independence. From previous experience of higher education for students with disabilities, effects are increased when modeling is used by the teachers involved in professional education. In the Mechanical Engineering Course, we are using modeling, to match the drawing and shape for beginning students. It includes support for enhancing one＇s view, and how to draw out the ability of mechanical engineering students for the basics. For students to study Mechanical Design and Drawing, Modeling of Gear Pump, Jack and Globe Valve are easily shown through drawings and the operation of each mechanism through sample drawings in the textbook. It is possible to make an opportunity to think about the machine mechanism. It will be shown by students＇ works. The assembling of the model triggers the need for form accuracy by making a function, and improves the quality of learning. It is possible that a three-dimensional molding machine can be produced through experiential learning by the model, and modeling with the dimension numerical data. Moreover, it is also embodied in a three-dimensional modeling which results in the image processing programming created. Confirming the improvement of the program through the shape with the quality. In the Department of Synthetic Design, students have chances to realize and self-evaluate from the design of the lamp shade with a complicated shape. In the Faculty of Health Science from Department of Health, high quality teaching of visually-impaired students through the use of bone model teaching materials has become possible in the medical-related courses.

大学英语写作课程立体评价模式构建研究

在大学英语写作课程中,传统的评价方式是由教师来评价学生的作品,然而由于班额大,教师的评价压力非常大,因而存在评价不足、促学效果不好等问题。自动评阅系统、学生互评、学生自评以及师生共评等新兴评价方式可以缓解教师的评价压力。通过分析上述评价方式的优缺点,结合班级实际,在多种评价方式中取长补短构建立体评价模式,既可以缓解教师评价压力,也可以改善学生学习效果。

健康管理护理基本技术质量控制与评价指标体系的构建

目的:构建健康管理护理基本技术质量控制与评价指标体系,为健康管理护理基本技术规范化、同质化管理提供参考依据。方法:在三维质量结构理论基础上,采用文献检索法、研究小组讨论和德尔菲专家函询法,筛选指标并量化质量控制与评价的维度、条目及各级评价指标。结果:最终形成健康管理护理基本技术质量控制与评价指标体系,包括一级指标3项,二级指标10项,三级指标51项。2轮专家函询问卷有效应答率均为94.4%,函询专家的权威系数为0.879,第1、第2轮咨询的肯德尔和谐系数分别为0.210、0.199,均P<0.001。结论:本研究构建的健康管理护理基本技术质量控制与评价指标体系科学、有效、客观、可操作,对规范健康管理护理服务实践、培训和考核具有参考意义,也可为健康管理机构开展健康管理护理基本技术质量控制提供可借鉴的指标。

三维融合构建劳动育人新课堂

《验光技术》是眼视光技术专业理论知识与操作方法高度集中的专业核心课程。通过过程多元评价体系评估劳动育人的成效,达成“知识递增、能力递进、素质递深”的三维育人目标,采用“思政融合、产教融合、教赛融合”的三融合课堂模式,提高学生的专业精神与职业认同感。

基于三维质量结构模型构建老年失能患者延续护理的质量评价指标体系

目的 探讨并构建老年失能患者延续护理质量评价指标体系。方法 于2022年7-9月,以三维质量结构模型为理论基础,结合文献回顾、德尔菲专家函询方法,根据老年失能患者延续护理服务内容和评估需求,构建了以“结构-过程-结果”模式为框架的老年失能患者延续护理服务质量评价体系。结果 经过2轮护理专家函询的权威系数、判断系数、熟悉系数分别为0.931、0.929、0.933;确定老年失能患者延续护理服务三维质量评价体系中包含一级指标3项,二级指标9项,三级指标36项;2轮专家函询的协调系数为0.455、0.410。结论 老年失能患者延续护理服务三维质量评价体系内容严谨、科学、全面及可靠,有利于延续护理服务质量的改进。

利用网络等值进行图降维的图注意力暂态功角稳定评估模型

省级以上实际大电网节点众多,用于电网暂态稳定评估的深度学习模型输入特征空间面临维数灾,训练成本高且泛化能力难以保证,成为该类方法难以应用于实际大系统的一个瓶颈。针对这一问题,提出了一种面向稳控校核、利用网络等值进行图降维的图注意力深度学习暂态功角稳定评估模型。首先,建立全网发电机图,基于转子惯量等决定暂态功角稳定的关键参数构建其节点相似度,并利用节点相似度改进发电机图的边权重;作为一种领域知识嵌入方式,借鉴电网动态等值思路,对待研究稳控系统所涉及区域以外的网络部分,基于发电机图和分层聚类算法进行分区,将所形成分区对应成等效节点形成降维发电机图,并建立原图到降维图节点、边权重参数的映射,实现对原输入空间的降维。最后,以降维图作为输入建立图注意力深度学习模型,实现对复杂网络的暂态功角稳定评估。在南方电网某实际稳控系统算例上进行对比分析,验证了模型的有效性及准确性。

MRI磁化传递技术在脑动脉血管成像中的应用价值

目的:探讨MRI磁化传递(MT)技术在磁共振脑动脉血管成像(MRA)中的应用价值。材料和方法:收集2021年6月26日至2023年5月18日在本院就诊的41例受试对象,均同时执行常规三维时间飞跃法MRA(3D-TOF-MRA)和MT+3D-TOF-MRA的脑血管成像检查,统计分析和比较两种成像方法对脑动脉血管图像的显示情况。结果:在41例受试者中,对脑动脉大血管,两种成像方法均能完全清晰显示;对脑动脉1-2级分支血管,常规3D-TOF-MRA法能清晰显示32例,占比78%,而MT+3D-TOF-MRA法均能清晰显示,两者比较具有显著统计学差异(P=0.005);对脑动脉3-4级分支远端小血管,常规3D-TOF-MRA法只能清晰显示25例,占比61%,而MT+3D-TOF-MRA法能清晰显示37例,占比90.2%,两者比较也具有显著统计学差异(P=0.002)。另外,常规3D-TOF-MRA法对脑动脉血管背景抑制不全,而MT+3D-TOF-MRA法能完全抑制脑血管的背景。结论:在常规3D-TOF-MRA基础上增加MT技术,脑血管背景抑制更好,能够获得更加清晰的脑动脉血管影像,有利于脑动脉远端分支小血管的显示。

基于“三维评价”理念的教育评价改革研究

构建科学的教育评价体系对于当前教育的发展具有重要意义,也是我国深化教育体制改革的关键任务之一。基于静态型质量、动态型质量、生态型质量的“三维评价”指标体系构建的基本遵循、原则和方法,通过分层化构建、模块化构建以及指标的整合与权重分布,剖析“三维评价”体系的影响因素模型,进而探讨推动教育评价改革的实施策略,为我国教育评价体系的完善和教育的高质量发展提供理论支持和实践借鉴。

四维评价支持三全育人改革的信息化探索与实践

“三全育人”的意义在于全面培养学生的素质,使其在知识、能力、品德等多个方面得到全面发展。这一理念强调了学校教育不仅仅要注重知识传授,还要关注学生的身心健康、创新能力、社会责任感等方面的培养。徐州工业职业技术学院以信息化为支撑,全面贯彻教育部深化“三全育人”综合改革的部署要求。在教育实践中,学校提出以四维评价体系为依托,紧密围绕“培养什么人、怎样培养人、为谁培养人”这一根本问题,致力于为背负着民族复兴使命的时代新人持续提供支持,切实推动“三全育人”工作,在这一过程中取得了一系列显著的发展成果。

基于赛耶模型的信号与系统多元化教学策略探索

针对“信号与系统”课程特点,依托我校电子信息工程系移动通信系统虚拟仿真金课平台建设,利用互联网技术建设“5G+线下”深度学习教学模式。以赛耶模型教学设计为提升,立足以问题为导向的PBL教学为引导、融合以“学生为中心”的翻转课堂和虚实结合教学的协同性,提出“一主题+一思政元素”的建设方案,建立多层次立体化考评方式,逐渐形成以教导学、以学促教的学习模式,更好地实现高等教育立德树人根本目的。

人口普查遗漏的组合式估计方法

以人口普查标准时点上的人口总体(全国、全国以下各行政区)为研究对象,研究如何利用对总体登记的普查人口名单和覆盖调查人口名单构造的组合式遗漏估计量估计人口普查遗漏人口数。目前各国政府统计部门在人口普查遗漏估计中主要使用单重遗漏估计量,但该方法未包括同时遗漏于这两份调查人口名单的双重遗漏人口,低估了总体普查遗漏人口数。组合式遗漏估计量除了包括单重遗漏人口外,还包括了双重遗漏人口,避免了单重遗漏估计量的缺陷。采取抽样估计和数理模型相结合的方法研究单重遗漏估计量、双重遗漏估计量和组合式遗漏估计量,理论和数据分析结果表明:组合式遗漏估计量在抽样估计精度和遗漏人口数估计上优于单重遗漏估计量,尤其是在分析双重遗漏人口特征和改进未来人口普查登记工作等方面;在使用刀切法近似计算总体的组合式遗漏估计量的抽样方差时,不能忽视等概率人口层之间的协方差,否则可能低估或高估其抽样方差;单重遗漏估计量和组合式遗漏估计量属于有偏估计量,要使用均方误差比较其估计精度。本文创新之处在于,利用原始数据全面演示了单重遗漏估计量、双重遗漏估计量和组合式遗漏估计量及其抽样方差估计量等的详细计算过程,同时讨论了其统计性质,尤其是利用设置的数据模拟了有偏性,有助于中国人口普查遗漏估计方案的科学制定及估计精度的提高。