Restoring-force model of modified RAC columns with silica fume and hybrid fiber

In order to establish a restoring-force model for modified concrete columns with recycled aggregates concrete(RAC), cyclic loading tests were carried out on five concretes with RAC columns and ordinary concrete frame columns under the combined influence with different admixtures and admixtures ratios(silica fume and hybrid fiber). The expressions for characteristic nodes of the skeleton curve were given by the analysis and numerical regression of the test results. In addition, the hysteretic rules of the restoring-force model and the expression for unloading stiffness were presented. Finally, we summed up the complete calculation method of the hysteretic restoring force, whose results were in good agreement with experiment. The results demonstrated that the proposed model could simulate and reflect the corresponding hysteretic behaviors, and the calculation method can provide the theoretical basis for the engineering application.

Research on Restoration of Murals Based on Diffusion Model and Transformer

Due to the limitations of a priori knowledge and convolution operation,the existing image restoration techniques cannot be directly applied to the cultural relics mural restoration,in order to more accurately restore the original appearance of the cultural relics mural images,an image restoration based on the denoising diffusion probability model(Denoising Diffusion Probability Model(DDPM))and the Transformer method.The process involves two steps:in the first step,the damaged mural image is firstly utilized as the condition to generate the noise image,using the time,condition and noise image patch as the inputs to the noise prediction network,capturing the global dependencies in the input sequence through the multi-attentionmechanismof the input sequence and feedforward neural network processing,and designing a long skip connection between the shallow and deep layers in the Transformer blocks between the shallow and deep layers using long skip connections to fuse the feature information of global and local outputs to maintain the overall consistency of the restoration results;In the second step,taking the noisy image as a condition to direct the diffusion model to back sample to generate the restored image.Experiment results show that the PSNR and SSIM of the proposedmethod are improved by 2%to 9%and 1%to 3.3%,respectively,which are compared to the comparison methods.This study proposed synthesizes the advantages of the diffusionmodel and deep learningmodel to make themural restoration results more accurate.

Electrical Neutrality and Symmetry Restoring Phase Transitions at High Density in a Two-Flavor Nambu-Jona-Lasinio Model

A general research on chiral symmetry restoring phase transitions at zero temperature and finite chemical potentials under electrical neutrality condition has been conducted in a Nambu-Jona-Lasinio model to describe twoflavor normal quark matter. Depending on whether mo/A, the ratio of dynamical quark mass in vacuum and the 3D momentum cutoff in the loop integrals, is less or greater than 0.413, the phase transition will be of the second or first order. A complete phase diagram of u quark chemical potential versus mo is given. With the electrical neutrality constraint, the region where the second order phase transition happens will be wider than the one without electrical neutrality limitation. The results also show that, for the value ofmo/A from QCD phenomenology, the phase transition must be of the first order.

Particle Density in Zero Temperature Symmetry Restoring Phase Transitions in Four-Fermion Interaction Models

By means of critical behaviors of the dynamical fermion mass in four-fermion interaction models, we show by explicit calculations that when T = 0 the particle density will have a discontinuous jumping across the critical chemical potential μc in 2D and 3D Gross-Neveu (GN) model and these physically explain the first-order feature of the corresponding symmetry restoring phase transitions. For the second-order phase transitions in the 3D GN model when T → 0 and in 4D Nambu–Jona–Lasinio (NJL) model when T = 0, it is proven that the particle density itself will be continuous across μc but its derivative over the chemical potential μ will have a discontinuous jumping. The results give a physical explanation of implications of the tricritical point in the 3D GN model. The discussions also show effectiveness of the critical analysis approach of phase transitions.

Computer aided stitching approach for dental restoration models

According to the bio-characteristics of the lower and upper cavity surfaces of dental restoration, a stitching approach is proposed based on a virtual zipper working mechanism and a minimization of the surface total curvature energy, which is used to resolve the stitching problems existing during computer-aided design for dental restorations. First, the two boundaries corresponding to the lower and upper surfaces are triangulated based on the zipper working mechanism to generate the initial stitching surface patch, of which the edges are distributed uniformly between the boundaries. Secondly, the initial stitching surface patch is subdivided and deformed to reconstruct an optimized surface patch according to the bio-characteristics of the teeth. The optimized surface patch is minimally distinguishable from the surrounding mesh in smoothness and density, and it can stitch the upper and lower cavity surfaces naturally. The experimental results show that the dental restorations obtained by the proposed method can satisfy both the shape aesthetic and the fitting accuracy, and meet the requirements of clinical oral medicine.

Genetic Analysis of Stripe Disease Resistance in Rice Restorer Line C224 Using Major Gene plus Polygene Mixed Effect Model

The inheritance of stripe disease resistance in a rice restorer line C224 was analyzed using the mixed effect model of major gene plus polygene for quantitative traits.In addition,the resistance was investigated in seven crosses of C224 with maintainer lines.The results showed that the stripe resistance of C224 was controlled by two major genes with additive-dominance-epistasis effects plus polygenes with additive-dominance effects （E-1 model）.These two genes had additive effects of-12.47% and-24.75%,respectively,showing negative dominance effects.There were significant epistasis and interaction effects between the two major genes.The heritability of the two major genes was 92.12%,while that of polygenes was 2.74%,indicating that the stripe resistance had dominant major gene effect.Of the seven crosses,five displayed high or medium resistance to the stripe disease.

Influences of Limited Ammonium Nitrogen and Water Temperature on the Urban Stream Restoration Using Bacterial Technology – View from the Perspective of Numerical Modelling

To complete the previously information issued on the feasibility study and some technical challenges identi-fied from the application of bacterial technology, this study presents another characteristics of numerical output as the bacterial growth is now also limited to ammonium nitrogen and water temperature. Based on the results obtained, it is found that the degradation of readily biodegradable COD will be much slower be-cause of lower bacterial growth. At certain period, the COD concentration will increase and be plotted higher later on compared to the model which is limited only to substrate and oxygen. Besides the ammonium nitro-gen, other parameters i.e. particulate products from COD decay and particulate degradable organic nitrogen will also increase soon after certain time. Considering the increase of ammonium nitrogen as it is also con-verted to nitrate nitrogen, it can be predicted that some algae may show up during the treatment processes. When the model is simulated under different water temperature, slower biodegradation process is presented at lower water temperature. Because the bacteria grow better at higher water temperature, more oxygen is then required. Finally, from this study, it is also identified that the artificial mixing and addition of oxygen at initial stage of treatment will considerably influence the restoration.

A decision framework for identifying models to estimate forest ecosystem services gains from restoration

Restoring degraded forests and agricultural lands has become a global conservation priority. A growing number of tools can quantify ecosystem service tradeoffs associated with forest restoration. This evolving ＂tools landscape＂ presents a dilemma： more tools are available, but selecting appropriate tools has become more challenging. We present a Restoration Ecosystem Service Tool Selector （RESTS） framework that describes key characteristics of 13 ecosystem service assessment tools. Analysts enter information about their decision context, services to be analyzed, and desired outputs. Tools are filtered and presented based on five evaluative criteria： scalability, cost, time requirements, handling of uncertainty, and applicability to benefit-cost analysis. RESTS uses a spreadsheet interface but a web-based interface is planned. Given the rapid evolution of ecosystem services science, RESTS provides an adaptable framework to guide forest restoration decision makers toward tools that can help quantify ecosystem services in support of restoration.

A GAUSSIAN MIXTURE MODEL-BASED REGULARIZATION METHOD IN ADAPTIVE IMAGE RESTORATION

A GMM (Gaussian Mixture Model) based adaptive image restoration is proposed in this paper. The feature vectors of pixels are selected and extracted. Pixels are clustered into smooth,edge or detail texture region according to variance-sum criteria function of the feature vectors. Then pa-rameters of GMM are calculated by using the statistical information of these feature vectors. GMM predicts the regularization parameter for each pixel adaptively. Hopfield Neural Network (Hopfield-NN) is used to optimize the objective function of image restoration,and network weight value matrix is updated by the output of GMM. Since GMM is used,the regularization parameters share properties of different kind of regions. In addition,the regularization parameters are different from pixel to pixel. GMM-based regularization method is consistent with human visual system,and it has strong gener-alization capability. Comparing with non-adaptive and some adaptive image restoration algorithms,experimental results show that the proposed algorithm obtains more preferable restored images.

Interactive Restoration of Three-Dimensional Implicit Surface with Irregular Parts

Implicit surface generation based on the interpolation of surface points is one of the well-known modeling methods in the area of computer graphics.Several methods for the implicit surface reconstruction from surface points have been proposed on the basis of radial basis functions,a weighted sum of local functions,splines,wavelets,and combinations of them.However,if the surface points contain errors or are sparsely distributed,irregular components,such as curvature-shaped redundant bulges and unexpectedly generated high-frequency components,are commonly seen.This paper presents a framework for restoring irregular components generated on and around surfaces.Users are assumed to specify local masks that cover irregular components and parameters that determine the degree of restoration.The algorithm in this paper removes the defects based on the user-specific masks and parameters.Experiments have shown that the proposed methods can effectively remove redundant protrusions and jaggy noise.

短视频商业模式下网红特质对用户产品依恋的影响研究——基于实验研究与仿真分析的方法

伴随着短视频商业模式的发展,短视频网红特质已经成为推动用户形成产品依恋的重要因素,但目前鲜有研究对其中的实现路径与机理进行深入探究。本文基于信号理论,构建短视频商业模式下网红特质对用户产品依恋的影响模型,同时综合运用实验研究与系统动力学仿真的方法对模型进行检验。结果表明:(1)短视频网红特质对用户产品依恋具有促进作用;(2)信任感知在短视频网红特质与用户产品依恋之间起中介作用;(3)生活场景还原不仅调节短视频网红特质对用户产品依恋的影响,而且在短视频网红特质、信任感知和用户产品依恋的中介关系中起调节作用;(4)系统动力学仿真结果表明,短视频网红特质对用户产品依恋的影响是一个长期累积的过程,并且随着时间的推移,这种影响效果愈发显著。研究结果为相关企业的短视频商业模式实践提供了有益的启示和参考。

CFRP及EWSS复合加固震损双层高架桥框架式桥墩恢复力模型研究

为研究碳纤维布(Carbon Fiber Reinforced Polymer,CFRP)及外包型钢(Externally Wrapped Steel Section,EWSS)复合加固震损双层高架桥框架式桥墩的恢复力模型,对1榀原型对比试件、1榀无预损加固试件和2榀遭受不同地震损伤加固试件进行了低周往复加载破坏试验,获取了滞回曲线并提取骨架曲线,分析其滞回特性,提出一种弹性段和强化段为双折线、下降段为指数函数且考虑初始损伤的骨架曲线模型;采用试验数据回归拟合方法,定量描述了试件滞回曲线卸载刚度的退化规律,考虑了同级加载承载力退化和定点指向特征,建立了恢复力模型。研究结果表明:复合加固试件滞回曲线捏缩现象明显,呈倒S型,各滞回环分别相交于骨架曲线上正向、负向荷载为屈服荷载0.25倍的点,峰值荷载后EWSS产生包辛格效应;所提出的骨架曲线模型对中度震损和重度震损加固试件下降段指数函数的参数k建议取值分别为3.6和3.4;所建立的骨架曲线模型和恢复力模型计算结果与试验实测结果吻合较好,可为该类结构弹塑性地震反应分析提供依据。

面向多天气退化图像恢复的自注意力扩散模型

复杂天气下的图像恢复对后续高级计算机视觉任务具有重要意义.然而,多数现有图像恢复算法仅能去除单一天气退化,鲜有针对多天气退化图像恢复的同一模型.对此,结合去噪扩散概率模型和视觉Transformer,提出一种用于多天气退化图像恢复的自注意力扩散模型.首先,利用天气退化图像作为条件来引导扩散模型反向采样生成去除退化的干净背景图像.其次,提出次空间转置自注意力噪声估计网络,利用退化图像和噪化状态来估计噪声分布,包括次空间转置自注意力机制(STSA)和双分组门控前馈网络(DGGFFN).STSA利用次空间变换系数实现有效学习特征全局性长距离依赖的同时,可显著降低计算负担;DGGFFN利用双分组门控机制来增强前馈网络的非线性表征能力.实验结果表明,在5个天气退化图像数据集上,相比近来同类算法All-in-One和TransWeather,本文算法所得恢复图像的平均峰值信噪比分别提高3.68和3.08 dB,平均结构相似性分别提高2.93%和3.13%.

基于生态网络的黄河上游(四川段)水源涵养生态安全格局构建

在对黄河上游四川段水源涵养功能及修复潜力评估的基础上,利用形态学空间格局分析法(MSPA)识别黄河上游四川段生态源地,运用最小累积阻力模型识别生态廊道.结果表明:整个研究区水源涵养能力由南至北逐渐降低,水源涵养修复潜力等级高的区域主要分布在研究区域北部;MSPA识别的核心区主要位于若尔盖县和石渠县,占总面积的44.04%,形成由3个等级的生态源地和3个等级的生态廊道组成的黄河上游四川段生态安全格局;整个生态网络均集中于研究区中北部,东西部和南部生态网络分布较少.基于生态网络进行生态安全格局的构建,可为黄河上游四川段水源涵养生态修复布局提供重要依据.

水生态修复技术专业课证融通模式探索与实践

课证融通是一种创新的教育理念,有助于提高教育质量和学生的综合素质。水生态修复技术专业是为适应国家战略和社会发展需求而设立的新兴专业,课证融通模式仍在探索阶段。在对课证融通内涵分析的基础上,对融通方式及实施步骤进行了总结,探索了水生态修复技术专业课证融通模式的构建,以期促进水生态修复技术专业高质量发展,提高人才培养质量。

面向复杂雪天场景的单幅图像去雪方法

降雪是一种复杂的天气现象,雪花多尺度、运动轨迹复杂以及远景呈现雾天效果.然而现有的单幅图像去雪方法以及数据集,并没有考虑到这些复杂的情况,从而限制了去雪方法在真实雪天图像上的表现.基于此,首先根据图像的深度信息构造了一种联合雪花和雾的雪天成像模型,合成了具有真实感的雪天图像数据集.然后设计了一种端到端的图像恢复网络,将去雾模块和去雪模块级联,并进行联合训练.其中去雪模块采用了双层U型网络用于解决雪花多尺度和轨迹复杂的问题.最后将该方法同其它最先进的方法进行实验对比,证明该方法在合成数据集和真实图像中都具有非常好的效果,且能够提升后续高级视觉任务性能.

社会资本参与生态保护修复市场化机制模式与实现路径研究

实施生态保护修复工程是构建人与自然和谐共生现代化社会的关键性举措,由于其公益性和外部性特征,难以形成稳定长效的回报机制,社会资本参与门槛高风险大。面对日益增长的修复需求,建立和完善生态保护修复项目的市场化机制不仅有助于缓解政府财政压力,更能通过市场机制的引入优化资源配置、推动产业结构优化。本文从生态保护修复市场化的逻辑前提出发,系统论述生态保护修复市场化实现的必要条件,归纳社会资本参与生态保护修复项目模式,针对生态保护修复市场化的发展,结合市场化在不同项目中的具体实现路径,提出发展和优化建议,旨在探索社会资本参与生态保护修复项目进入难、实施难的解决方案,推动生态保护修复市场化的健康发展。

中国史前“龙”形遗迹时空分异研究:以南京薛城遗址为例

以中华民族最重要的图腾“龙”为研究对象,通过南京薛城遗址2021年出土的“龙”形遗迹,论述基于多源空间数据进行“龙”形遗迹三维修复和建模的过程,为考古遗迹数字化保护提供一种定量方法。此外,对比分析中国四处典型“龙”形考古遗迹的材质、形态以及所在的地理环境等,探讨史前“龙”形遗迹面貌与地理环境的关系及演变规律,认为:辽宁阜新“龙”与早期农业阶段先民选择猪作为财富的象征有关;中原地区全新世适宜期的暖湿气候条件致使河南濮阳西水坡遗址和江苏南京薛城遗址的“龙”形象与鳄类似,材质均来自淡水资源;伴随着中原地区夏王朝影响规模的扩大,河南二里头遗址的“龙”形遗迹取材于陕西地区的绿松石,已经脱离了地理环境的束缚。

海洋生物生态工程类课程教学创新设计

“海洋生物学”和“海洋生态修复”是涉海高校本科生两门非常重要的海洋生物生态工程类课程。遵循“以学生为中心”OBE教育理念和“两性一度”金课标准创新设计教学内容,依据“教师主导、学生主体,线上自学、线下面授,课程思政三精途径”原则创新设计教学过程和方法,采用过程性评价与终结性评价相结合策略创新设计考评并及时和精准给予反馈。基于上述教学环节创新设计,经过多轮迭代式课程建设探索实践,开展基于翻转课堂的线上线下混合式课程思政教学,提高人才培养质量,落实立德树人根本任务。

个别托盘预留空间厚度与牙槽嵴低平无牙颌义齿修复效果的关系

目的探究个别托盘不同预留空间厚度与牙槽嵴低平无牙颌义齿修复的关系。方法选择2020年3月至2023年3月期间于我院就诊的75例牙槽嵴低平无牙颌患者,采用随机数字表法将患者分为A组(n=25)、B组(n=25)和C组(n=25),3组分别按无预留空间(0 mm),预留空间(1.5 mm)和(2 mm)制作个别托盘并行全口义齿修复。对比3组患者的一般资料、修复有效率、VAS评分、TMD及PES评分,并分析3组患者修复后的满意程度评分。采用广义估计方程模型评价3组患者各项指标的改善情况。结果3组在终印与组织面的偏差值、复诊次数以及压痛位点之间存在显著差异,B组<C组<A组(P<0.05)。B组患者的总有效率高于A组和C组(P<0.05)。术后3个月,3组患者的VAS评分无明显差异,B组患者的TMD评分显著低于A组和C组,PES评分显著高于A组和C组(P<0.05)。比较3组患者对固位效果、稳定性、咀嚼功能、舒适度的满意度,B组患者的满意度明显高于A组和C组(P<0.05)。经广义估计方程分析可见:B组在TMD评分、PES评分、固位效果、稳定性、咀嚼功能、舒适度方面的改善情况优于A组和C组,C组在各方面的改善情况优于A组。结论个别托盘预留空间为1.5 mm时制作终义齿组织面与粘膜形态适合性较好、复诊次数和压痛位点较少、修复效果较好、患者的满意度较高。