Multi-scale Modeling and Finite Element Analyses of Thermal Conductivity of 3D C/SiC Composites Fabricating by Flexible-Oriented Woven Process

Thermal conductivity is one of the most significant criterion of three-dimensional carbon fiber-reinforced SiC matrix composites(3D C/SiC).Represent volume element(RVE)models of microscale,void/matrix and mesoscale proposed in this work are used to simulate the thermal conductivity behaviors of the 3D C/SiC composites.An entirely new process is introduced to weave the preform with three-dimensional orthogonal architecture.The 3D steady-state analysis step is created for assessing the thermal conductivity behaviors of the composites by applying periodic temperature boundary conditions.Three RVE models of cuboid,hexagonal and fiber random distribution are respectively developed to comparatively study the influence of fiber package pattern on the thermal conductivities at the microscale.Besides,the effect of void morphology on the thermal conductivity of the matrix is analyzed by the void/matrix models.The prediction results at the mesoscale correspond closely to the experimental values.The effect of the porosities and fiber volume fractions on the thermal conductivities is also taken into consideration.The multi-scale models mentioned in this paper can be used to predict the thermal conductivity behaviors of other composites with complex structures.

Multi-Model Approach for Assessing the Influence of Calibration Criteria on the Water Balance in Ouémé Basin

Hydrological models are very useful tools for evaluating water resources, and the hydroclimatic hazards associated with the water cycle. However, their calibration and validation require the use of performance criteria which choice is not straightforward. This paper aims to evaluate the influence of the performance criteria on water balance components and water extremes using two global rainfall-runoff models (HBV and GR4J) over the Ouémé watershed at the Bonou and Savè outlets. Three (3) Efficacy criteria (Nash, coefficient of determination, and KGE) were considered for calibration and validation. The results show that the Nash criterion provides a good assessment of the simulation of the different parts of the hydrograph. KGE is better for simulating peak flows and water balance elements than other efficiency criteria. This study could serve as a basis for the choice of performance criteria in hydrological modelling.

Structural parameters and molecular model of Shendong subbituminous coal

Coal has a highly complex chemical structure,similar to polymers,coal is a macromolecular structure composed of a large number of“similar compounds”,which is called the basic structural unit.Understanding coal structure is the basis of its transformation and utilization.Shendong(SD)coal was analyzed by FTIR,XRD,XPS,and NMR.The results show that SD coal normalized structure formula is C_(100)H_(68.5)O_(35.7)N_(1.2)S_(0.2)and the average number of aromatic rings is 1.98.-CH_(2)-content accounts for about 82%in aliphatic CeH region,and the ratio of ether bond CeO,aromatic ether C-O and C=O is about 2:1:11 in oxygen-containing functional group region.The d_(002),L_(C),L_(a)and N_(C)of S_(D)coal microcrystalline structure parameters are 0.1832 nm,1.4688 nm,2.0852 nm and 9.017,respectively.Aromatic carbon and aliphatic carbon ratios of SD coal are 55.67%and 29.97%,aromatic cluster size and average methylene chain length are 0.224 and 1.817.Based on these structural parameters,molecular model of SD coal was constructed with^(13)C SSNMR experimental spectra as a reference.The model was constructed with an atom composition of C_(214)H_(214)O_(49)N_(2)S.

Hydrological Modelling of the Casamance River in Its Upstream Section (Basin at Kolda Level) to Predict Its Future States as a Function of Different Stresses

Flow records for stations in the Casamance basin are incomplete. Several gaps were noted over the 1980-2021 study period, making this study tedious. The aim of this study is to assess the potential impact of climate change on the flow of the Casamance watershed at Kolda. To this end, hydrological series are simulated and then extended using the GR2M rainfall-runoff model, with a monthly time step. Projected climate data are derived from a multi-model ensemble under scenarios SSP2-4.5 (scenario with additional radiative forcing of 4.5 W/m2 by 2099) and SSP5-8.5 (scenario with additional radiative forcing of 8.5 W/m2 by 2099). An analysis of the homogeneity of the rainfall data series from the Kolda station was carried out using KhronoStat software. The Casamance watershed was then delimited using ArcGIS to determine the morphometric parameters of the basin, which will be decisive for the rest of the work. Next, monthly evapotranspiration was calculated using the formula proposed by Oudin et al. This, together with rainfall and runoff, forms the input data for the model. The GR2M model was then calibrated and cross-validated using various simulations to assess its performance and robustness in the Casamance watershed. The version of the model with the calibrated parameters will make it possible to extend Casamance river flows to 2099. This simulation of future flows with GR2M shows a decrease in the flow of the Casamance at Kolda with the two scenarios SSP2-4.5 and SSP5-8.5 during the rainy period, and almost zero flows during the dry season from the period 2040-2059.

The construction and practice of humanistic care teaching model based on 5C care theory

Objective:To construct a scientific and feasible teaching mode based on 5C caring theory and evaluate it,so as to provide a reference basis for future study about nursing humanistic quality education.Methods:Based on the 5C caring theory,the teaching design and teaching content were revising and implementing in the intervention group.Before and after the implementation of the course,a questionnaire survey was conducted using the Caring Ability Inventory(CAI).The results of the surveys were collected,and the data were statistically analysis using SPSS.Results:After the implementation of the course,the cognitive dimension,patience dimension,and humanistic caring ability scores of the nursing students in the intervention group improved compared with those before the implementation of the course(P<0.05).There were no significant difference in the control group(P>0.05).Conclusion:The humanistic caring teaching model based on 5C caring theory has a positive effect on improving nursing students'humanistic caring ability.In the future nursing teaching,the modules with the characteristics of humanistic caring ability can be increased,and carry out the educational reform throughout the humanistic caring ability.Actively guiding nursing students to establish the awareness of humanistic caring,so as to lay a solid foundation for high-quality clinical nursing work.

C2M电商助力制造企业数字化升级的机理及路径

随着信息技术及我国经济社会的迅猛发展,互联网由消费互联网走向工业互联网,C2M电商模式脱颖而出,众多品牌制造企业纷纷结合C2M电商,助力企业的数字化升级。在升级机理上,C2M电商将消费者与生产制造企业实现端到端的直接互联,使得消费端到生产端的供应链数字化升级日新月异,纵向上下游节点数据打通共享,横向同类供应商多家接入,按业务不断延展,形成产业网链。品牌制造企业通过C2M电商,从消费端收集消费者的动态需求,到未来潮流产品预测,再到产品研发的数字化、产品的柔性化生产与产品营销数字化,连通并共享产业链上的大数据,为企业的生产经营数据赋能,创新商业模式,形成产业数字生态圈,不断创造新的价值,实现数字化升级。在升级路径上,依次从产品信息充分数字化、实施C2M电商全渠道数字化营销、产品研发设计的数字化、到采购生产销售物流全流程供应链的数字化升级,最终实现生产经营大数据为企业生产经营数据赋能。

非线性M-C强度准则下预应力锚索加固边坡时效稳定性分析M-P法

拓展传统极限平衡方法在复杂条件下边坡稳定性分析中的适用性一直是岩土工程界的研究热点。众所周知,边坡岩土体剪切失效一般服从于非线性强度准则,而传统极限平衡方法仅适用于线性强度准则下边坡稳定性分析。此外,预应力锚索作为一种主动防护措施,可极大地即时提高边坡稳定性而被广泛应用于中、大型边坡工程加固。然而,在应力松弛、蠕变效应以及腐蚀环境影响下预应力锚索加固边坡稳定性时效特征往往被忽视。由此,基于Morgenstern-Price(M-P)法,嵌入非线性Mohr-Coulomb(M-C)强度准则,并融入应力松弛与蠕变效应下锚索预应力损失模型以及腐蚀环境下锚索性能劣化模型,从而,建立非线性强度准则下预应力锚索加固边坡安全系数时程表达式。进一步,为了解决非线性强度准则下隐式嵌套公式难以求解的问题,归零化条间法向力初始值,并应用迭代循环求解策略,在引入循环终止允许误差判别条件后,可实现边坡稳定性理论真实结果的逼近求解。经过后续算例对比分析,验证了所提方法的可行性和合理性,与此同时,还研究了不同预应力损失速率和不同锈蚀环境下预应力锚索加固边坡稳定性的时效变化规律。

基于Model/View/Controller的电子商务研究

分析了传统电子商务系统的缺陷 ,电子商务发展趋势 ,分析了M/V/C(Model/View/Controller)技术 ,提出了基于M/V/C电子商务并且分析了其体系结构及框架结构 ,以及在此框架之上构建电子商务的方法。

m1A/m5C/m6A/m7G调控基因预测胃癌预后及免疫关联性

目的基于m1A/m5C/m6A/m7G甲基化调控基因建立胃癌预后风险预测模型,并分析该模型与免疫的关联性。方法通过癌症基因组图谱(TCGA)-胃癌数据集筛选表达具有显著差异的m1A/m5C/m6A/m7G调控基因,通过单基因Cox回归分析和LASSO算法构建预后风险评分(risk score,RS)模型,使用Kaplan-Meier(K-M)统计进行RS模型验证,并应用细胞系进行RT-qPCR验证。利用单因素、多因素Cox回归分析建立nomogram模型。使用CIBERSORT算法和estimate包进行免疫关联性分析。结果建立了基于八个甲基化调控基因的预后RS模型,将胃癌患者分为高风险和低风险。这八个基因在胃癌细胞系中高表达(P<0.05)。在TCGA-胃癌训练集和GSE62254-验证集中,患者总生存率(OS)与分组状态之间存在显著相关性(P<0.001)。nomogram生存模型预测的1年(C-index=0.703)、3年(C-index=0.729)和5年(C-index=0.734)生存率与实际生存率的一致性较好。免疫关联性分析表明,与低风险患者组相比,高风险患者组免疫评分和免疫检查点相关基因的表达较高(P<0.05)。结论基于m1A/m5C/m6A/m7G调控基因的预后RS模型可预测胃癌预后并指导个体免疫治疗决策。

肺炎支原体IgM抗体、hs-CRP、NLR联合检测在儿童肺炎支原体肺炎诊断中的应用价值

目的:探讨肺炎支原体免疫球蛋白M(IgM)抗体、超敏C反应蛋白(hs-CRP)、中性粒细胞/淋巴细胞(NLR)联合检测在儿童肺炎支原体肺炎诊断中的应用价值。方法:抽取2023年4月—2024年4月江门市新会区人民医院接诊的82例肺炎支原体肺炎患儿作为观察组,抽取同期体检的健康儿童21例作为对照组。两组儿童均开展肺炎支原体IgM抗体、hs-CRP、NLR检测。对比两组肺炎支原体IgM抗体、hs-CRP、NLR水平,分析肺炎支原体IgM抗体、hs-CRP、NLR单独检测以及联合检测诊断儿童肺炎支原体肺炎的效能。结果:观察组肺炎支原体IgM抗体、hs-CRP、NLR水平高于对照组(P<0.05)。肺炎支原体IgM抗体、hs-CRP、NLR以及联合检测诊断儿童肺炎支原体肺炎的AUC分别为0.783、0.817、0.835、0.886,均具有良好的诊断价值,且联合检测诊断效能更高。结论:肺炎支原体IgM抗体、hs-CRP、NLR联合检测在儿童肺炎支原体肺炎诊断中的应用价值较高,能够为临床诊治儿童肺炎支原体肺炎提供客观依据。

Impulsive Logistic Model for Gray Leaf Spots Caused by Cercospora zeae-maydi

[ Objectlve] Impulsive Logistic Model was used to simulate epidemic process of Gray Leaf Spots caused by C. zeae-maydi. [ Method] The pathogen was inoculated in different maize varieties, and the incidence were observed and recorded. Impulsive Logistic Model was used to simulate the development process of the disease, which was compared with actual incidence. [ Result] Artificial inoculation tests showed that impulsive Logistic Model could reflect time dynamic of C. zeae-maydi. Through derivation, exponential growth phase was from maize seedling emergence to eady July in each year, logistic phase was from early July to late August, terminal phase was from eady September to the end of maize growth stage. [ Conclusion] The derivation result from model was consistent with the development biological laws of C. zeae-maydi.

理想M-C材料强度评估判据与等效塑性应变

基于理想Mohr-Coulomb(M-C)屈服准则,该文提出了拉伸、压缩和剪切等效应力的概念及其公式,并给出了三个相应的强度评估条件.根据塑性功等效原则,分别导出了与上述等效应力共轭的拉伸、压缩等效塑性应变和等效塑性剪应变,探论了不同的摩擦因数下等效应变的变化特征.与Mises等效应变不同,所得到的M-C等效应变能够反映静水压力的影响,也可退化为简单应力状态.这些等效应力和等效应变概念都具有明确的物理意义,将能够应用于更准确、有效地评估拉、压性能不同材料的强度,对于用简单拉伸、压缩或剪切试验标定复杂应力状态下本构模型参数也具有直接应用价值.

Reliability Analysis of a Mixed Redundant Model in C 3I System

Aim To define a mixed redundant model(MRM), improving the reliability of C 3I system. Methods The model combined the technology characters of two? unit system with one warm stand by unit and function substitute system. The reliability and availability equations of MRM were deduced. Results and Conclusion Compared with several other reliability models, it has obvious effect upon improving the system reliability. The effect? cost rate is very high among these models. The model can be used in reliability design, evaluation and check of C 3I system. Only a little attached cost is needed to improve C 3I system reliability effectively.

Simulation of pre-precipitation in Ni_(75)Al_(14)Mo_(11) alloy by microscopic phase-field model

The early precipitation process of Ni（75）Al（14）Mo（11） alloy was simulated by microscopic phase-field model at different temperatures.The microstructure of the alloy,the precipitation time of Llo structure and occupation probability of the three kinds of atoms were investigated.It is indicated that the non-stoichiometric Ll0（Ⅰ/Ⅱ） phases are found in the precipitation process.With the temperature increasing,the appearance time of Ll0 is brought forward.The Ll0（Ⅱ） structure always precipitates earlier than the Ll0（Ⅰ） structure.Compared with lower temperature,higher temperature brings the formation time of Ll0 phase forward and makes Ll0 phase have a higher order degree.But lower temperature shortens the process time of the Ll0 phase to the Ll2 phase.Al and Mo atoms tend to occupy γ site,Ni atom tends to occupy a and β sites.At the same temperature,Al atom has stronger occupation ability than Mo atom in the same site.Ni,Al and Mo collectively form the composited Ll2 structure.

儿童支原体肺炎检测中CRP、IgM、IgG、PCT指标的临床意义分析

目的探讨在儿童支原体肺炎检测中C反应蛋白(C-reactive Protein,CRP)、免疫球蛋白指标M(Immunoglobulin M,IgM)、免疫球蛋白指标G(IgG)、降钙素原(Procalcitonin,PCT)指标的临床意义。方法选取2019年11月—2022年4月赣榆区人民医院收治的支原体肺炎患儿120例作为观察组,并在同期体检健康儿童中选取120例作为对照组,均接受CRP、IgM、IgG、PCT等指标检测,根据其检测水平进行分析。结果观察组患儿的CRP为(15.35±3.08)mg/L、PCT为(0.66±0.11)ng/L,比对照组CRP的(4.08±0.72)mg/L、PCT(0.31±0.06)ng/L高,差异有统计学意义(t=39.031、30.599,P均<0.05);观察组中急性期患儿的CRP、PCT指标水平明显高于恢复期患儿指标水平,差异有统计学意义(P均<0.05);观察组患儿的IgM、IgG、IgE水平较对照组高,IgA水平较对照组低,差异有统计学意义(P均<0.05)。结论支原体肺炎患儿接受免疫球蛋白指标、CRP、PCT指标检测,其指标值可良好地反映患儿病情,IgA水平较低,其他指标均升高,因此对以上指标进行密切监测,为支原体肺炎疾病诊断、治疗提供数据参考。

C2M反向驱动的皮革服装定制模式研究

C2M模式是继B2B、B2C模式后兴起的一种基于工业互联网背景的新型商业模式,是以用户个性化消费需求反向驱动企业生产的制造模式,具有去中间环节的价格优势。为满足皮革服装消费的个性化需求,从皮革服装裁剪与制作工艺角度,分析了皮革服装行业引入C2M模式的可行性,提出了基于C2M反向驱动的皮革服装定制设计模式和工作流程,为皮革服装品牌转换经营模式,加速数字化智能定制平台转型升级,更好地满足顾客需求,获取新的利润空间提供了参考。

陆地高分辨率水文—生物地球化学过程CNMM-DNDC三维模型的研发及应用进展

CNMM-DNDC模型是本文作者团队研发的陆地高分辨率水文—生物地球化学过程三维模型。本文系统介绍了建模背景和理念、核心过程和模型特点、模拟功能和观测验证、多尺度区域或流域初步应用以及未来发展展望。自2018年刊发首个版本以来,该模型经过了多方面科学过程改进和模拟功能扩展,在元素化学反应、物质相变和机械迁移等基本物理、化学、生物过程层面,完成了对陆地表层系统碳氮磷水循环全耦合的精细刻画。迄今开展的观测验证表明,CNMM-DNDC模型基本普适于不同生物气候带(从热带到寒区多年冻土地带)的流域或区域长时间序列“三高”(时间、空间和过程高分辨率)综合模拟,实现对陆地生态系统的碳、氮、磷、水三维运移、水土流失、水力驱动溶解态和颗粒态碳氮磷横向迁移、碳氮温室气体和污染气体排放、生态系统生产力、水分蒸散发和水分能量平衡等众多可持续发展目标表征变量的预测。该模型广泛推广应用于多尺度区域或流域的复杂过程虚拟科学试验研究和服务于面向生态环境建设与减污降碳的优化调控决策,可望为协同落实联合国多个可持续发展目标提供先进的数值模拟技术支撑。

胃癌模型大鼠胃黏膜组织Cyclin D1、c-Myc、CKIT的表达意义及其与胃癌病变程度的相关性

目的探讨胃癌模型大鼠胃黏膜组织细胞周期蛋白D1(cyclinD1)、c-Myc、CKIT的表达意义及其与胃癌病变程度的相关性。方法选择48只健康成年雌性大鼠,按照随机数字表法将其分为对照组、研究1组、研究2组、研究3组,每组各12只。研究1组、研究2组、研究3组均制备成胃癌模型。对照组给予等量0.9%氯化钠溶液,第24周处死取材;研究1组、研究2组、研究3组制备成胃癌大鼠后分别于第8、16、24周取材。分析各组大鼠一般情况及胃黏膜组织病理切片,采用蛋白质印迹法检测胃黏膜组织Cyclin D1、c-Myc、CKIT蛋白的表达,采用逆转录聚合酶链式反应(RT-PCR)法测定胃黏膜组织Cyclin D1、c-Myc、CKIT mRNA的表达,采用Spearman分析法测定胃黏膜组织Cyclin D1、c-Myc、CKIT表达与胃癌病变程度相关性。结果对照组大鼠胃黏膜完整正常,外膜层、肌层、黏膜下层、黏膜层等结构清晰,且无炎症细胞浸润;研究1组大鼠胃黏膜组织与对照组大鼠接近,不存在炎症细胞,且黏膜腺体结构基本正常;研究2组大鼠胃黏膜组织存在破损,细胞核变大,基底部部分腺体细胞形态异常,存在轻度异型性,为早期胃癌;研究3组大鼠胃黏膜组织增加破损,核质比变大,细胞形态不规则,部分腺体存在扩张,黏膜下层及肌层存在炎症细胞浸润,为胃癌进展期。研究1组、研究2组、研究3组胃黏膜组织Cyclin D1、c-Myc、CKIT蛋白均呈显著高于对照组,差异均有统计学意义(P<0.05),胃黏膜组织Cyclin D1、c-Myc、CKIT蛋白在研究1组、研究2组、研究3组中逐渐升高趋势。研究1组、研究2组、研究3组胃黏膜组织Cyclin D1、c-Myc、CKIT mRNA均呈显著高于对照组,差异均有统计学意义(P<0.05),胃黏膜组织Cyclin D1、c-Myc、CKIT mRNA在研究1组、研究2组、研究3组中逐渐升高趋势。采用Spearman相关性结果分析显示,胃黏膜组织Cyclin D1、c-Myc、CKIT表达与胃癌病变程度呈正相关(r=0.382、0.781、0.993,均P<0.001)。结论胃癌模型大鼠胃黏膜组织Cyclin D1、c-Myc、CKIT呈高表达,其与胃癌病变程度密切相关。

C-TAM-TPB模型下档案众包大学生参与意愿提升策略研究

[目的/意义]档案众包作为引入社会力量参与档案事业的有效方式之一,引起了广泛关注。大学生作为党和国家的未来生力军,更是参与此类社会文化活动,成为主力。如何提高大学生档案众包项目参与意愿,各单位如何更好的开展档案众包实践等问题成为关键。[方法/过程]以C-TAM-TPB模型为基础,构建档案众包大学生参与行为影响因素分析模型。在此基础上设计调查问卷,对影响大学生档案众包项目参与意愿的重要因素进行分析。[结果/结论]发现平台易用性、社会导向影响其行为决策,时间及能力、物质奖励等因素影响其参与意愿,对公益性活动的正面评价并非是促成参与行为的重要动因。基于此,从平台建设、档案宣传、众包项目设置、激励措施等方面提出大学生档案众包项目参与意愿的提升策略。

The quantified analysis of China's GM cotton yield capacity by C-D function and stochastic frontier model

Using a modified C D function and stochastic frontier model, the paper analyzed China's cotton yield capacity and found that the yield and technical efficiency of China's cotton planting system can be increased by the use of genetically modified (GM) varieties.