基于最弱t-norm算法模糊贝叶斯网络土石坝渗漏风险分析

针对土石坝工程渗漏影响要素多,风险评估体系不完善的问题,提出一种基于最弱t-norm算法模糊贝叶斯网络的土石坝渗漏风险分析模型。首先基于土石坝渗漏破坏成因构建土石坝渗漏风险分析网络,再基于层次分析法和最弱t-norm聚合算法求解不同专家判断的相似性结果,最后将相似性结果转化为概率后代入贝叶斯理论计算水库渗漏破坏风险。以2005年英德尔水库渗漏破坏事件为例,计算得到该库渗漏破坏概率为0.08,属于不可接受风险,并通过反向诊断验证了该模型的可靠性与灵敏性优于传统算法。研究结果可为土石坝渗流风险分析与处置决策提供参考。

Simulation of liquid cone formation on the tip apex of indium field emission electric propulsion thrusters

Field emission electric propulsion(FEEP) thrusters possess excellent characteristics, such as high specific impulse, low power requirements, compact size and precise pointing capabilities,making them ideal propulsion devices for micro-nano satellites. However, the detection of certain aspects, such as the evolution process of the liquid cone and the physical quantities at the cone apex, proves challenging due to the minute size of the needle tip and the vacuum environment in which they operate. Consequently, this paper introduces a computational fluid dynamics(CFD) model to gain insight into the formation process of the liquid cone on the tip apex of indium FEEP. The CFD model is based on electrohydrodynamic(EHD) equations and the volume of fluid(VOF) method. The entire cone formation process can be divided into three stages, and the time-dependent characteristics of the physical quantities at the cone apex are investigated. The influences of film thickness, apex radius size and applied voltage are compared.The results indicate a gradual increase in the values of electrostatic stress and surface tension stress at the cone apex over an initial period, followed by a rapid escalation within a short duration.Apex configurations featuring a small radius, thick film and high voltage exhibit a propensity for liquid cone formation, and the cone growth time decreases as the film thickness increases.Moreover, some unstable behavior is observed during the cone formation process.

Common Fixed Point Theorems in Non-normal Cone Metric Spaces with Banach Algebras

In this paper, we obtain a class of common fixed point theorems for generalized Lipschitz mappings in cone metric spaces with Banach algebras without the assumption of normality of cones. The results greatly generalize some results in the literature. Moreover,we give an example to support the main assertions.

An Alternative Way to Mapping Cone: The Algebraic Topology of the Pinched Tensor

In this research, we explore the properties and applications of the mapping cone and its variant, the pinched mapping cone. The mapping cone is a construction that arises naturally in algebraic topology and is used to study the homotopy type of spaces. It has several key properties, including its homotopy equivalence to the cofiber of a continuous map, and its ability to compute homotopy groups using the long exact sequence associated with the cofiber. We also provide an overview of the properties and applications of the mapping cone and the pinched mapping cone in algebraic topology. This work highlights the importance of these constructions in the study of homotopy theory and the calculation of homotopy groups. The study also points to the potential for further research in this area which includes the study of higher homotopy groups and the applications of these constructions to other areas of mathematics.

A novel seed cone of Pinus from the Miocene of coastal Southeast China indicates kinship with Southeast Asian pines

Pinus is an economically and ecologically important genus whose members are dominant components globally in low-latitude mountainous and mid-latitude temperate forests.Pinus species richness is currently concentrated in subtropical mid-low latitudes of the Northern Hemisphere,differing from the latitudinal diversity gradient mostly recognized in woody angiosperms.How the present pattern was developing in Earth's past is still poorly studied,particularly in eastern Asia.Here,a new fossil species,Pinus shengxianica sp.nov.is described based on a fossil seed cone from the Late Miocene Shengxian Formation in Zhejiang,southeast China.A co-occurring cone is recognized as a known fossil species,Pinus speciosa Li.Extensive comparison of extant and fossil members of Pinus suggests P.shengxianica shares a striking cone similarity to Pinus merkusii and Pinus latteri(subsection Pinus)from tropical Southeast Asia in having annular bulges around the umbo on the apophysis.The morphological resemblance indicates these two extant low-latitude pines probably possess a close affinity with the present newly-discovered P.shengxianica and originated from East Asian mid-low latitude ancestors during this generic re-diversification in the Miocene.This scenario is consistent with the evolutionary trajectory reflected by the pine fossil history and molecular data,marking the Miocene as a key period for the origin and evolution of most extant pines globally.The co-occurrences of diverse conifers and broadleaved angiosperms preferring diverse niches demonstrate Late Miocene eastern Zhejiang was one of the hot spots for coniferophyte diversity and hosted a needled-broadleaved mixed forest with complex vegetation structure and an altitudinal zonation.

ISOMETRY AND PHASE-ISOMETRY OF NON-ARCHIMEDEAN NORMED SPACES

In this paper,we study isometries and phase-isometries of non-Archimedean normed spaces.We show that every isometry f:Sr(X)→Sr(X),where X is a finite-dimensional non-Archimedean normed space and Sr(X)is a sphere with radius r∈||X||,is surjective if and only if is spherically complete and k is finite.Moreover,we prove that if X and Y are non-Archimedean normed spaces over non-trivially non-Archimedean valued fields with|2|=1,any phase-isometry f:X→Y is phase equivalent to an isometric operator.

Transcriptome Analysis of Auxin Drives Cone Size Regulation in Fokienia hodginsii

As the reproductive organ of the endangered species Fokienia hodginsii,the size of the cones is a constraint on the reproductive renewal of the population.In this study,the molecular basis of the influence of cone size on F.hodginsii was elucidated by comparing the phenotype,biochemistry,and transcriptome of two cultivars of F.hodginsii(‘FJ431’and‘FJ415’).The two cultivars differed significantly in cone size,with FJ431 having a significantly larger cone size and weight than FJ415,1.32 and 1.90 times that of FJ415,respectively.RNA-Seq analysis of both cultivars retrieved 75,940 genes whose approximate functions were classified as the pathway of response to endogenous stimulus and response to hormone and showed significant differences in the auxin-activated signaling pathway,particularly the MAPK signaling pathway-plant.Furthermore,the endogenous IAA content was significantly higher in FJ431 than in FJ415,and 1.58 and 1.29 times more IAA was present in immature and mature cones,respectively.Moreover,exogenous IAA treatment significantly induced the expression of the MAPK pathway-related gene TRINITY_DN10564_c0_g1 and significantly inhibited the expression of the MAPK pathwayrelated gene TRINITY_DN17056_c0_g1.Our work suggests that IAA can affect the cone size of F.hodginsii,most probably through the MAPK pathway.This has high theoretical and practical significance for the improvement of genetic breeding and the further cultivation of quality germplasm resources of F.hodginsii.

Regularised Layerwise Weight Norm Based Skin Lesion Features Extraction and Classification

Melanoma is the most lethal malignant tumour,and its prevalence is increasing.Early detection and diagnosis of skin cancer can alert patients to manage precautions and dramatically improve the lives of people.Recently,deep learning has grown increasingly popular in the extraction and categorization of skin cancer features for effective prediction.A deep learning model learns and co-adapts representations and features from training data to the point where it fails to perform well on test data.As a result,overfitting and poor performance occur.To deal with this issue,we proposed a novel Consecutive Layerwise weight Con-straint MaxNorm model(CLCM-net)for constraining the norm of the weight vector that is scaled each time and bounding to a limit.This method uses deep convolutional neural networks and also custom layer-wise weight constraints that are set to the whole weight matrix directly to learn features efficiently.In this research,a detailed analysis of these weight norms is performed on two distinct datasets,International Skin Imaging Collaboration(ISIC)of 2018 and 2019,which are challenging for convolutional networks to handle.According to thefindings of this work,CLCM-net did a better job of raising the model’s performance by learning the features efficiently within the size limit of weights with appropriate weight constraint settings.The results proved that the proposed techniques achieved 94.42%accuracy on ISIC 2018,91.73%accuracy on ISIC 2019 datasets and 93%of accuracy on combined dataset.

Norms of Dual Complex Vectors and Dual Complex Matrices

In this paper,we investigate some properties of dual complex numbers,dual complex vectors,and dual complex matrices.First,based on the magnitude of the dual complex number,we study the Young inequality,the Hölder inequality,and the Minkowski inequality in the setting of dual complex numbers.Second,we define the p-norm of a dual complex vector,which is a nonnegative dual number,and show some related properties.Third,we study the properties of eigenvalues of unitary matrices and unitary triangulation of arbitrary dual complex matrices.In particular,we introduce the operator norm of dual complex matrices induced by the p-norm of dual complex vectors,and give expressions of three important operator norms of dual complex matrices.

Integrating the valence theory and the norm activation theory to understand consumers’ e-waste recycling intention

Electrical and electronic waste(e-waste)is a growing challenge,matching the widespread boom in the use of information and communication technology.Opposite to an alarming increasing amount of e-waste,a low rate of consumer engagement in ensuring the proper disposal of such materials intensifies the pressure on the exist‐ing e-waste crisis.To deal with this thorny problem,it is of great interest to grasp consumers’disposal and re‐cycling behavioral intentions.Therefore,this study attempts to understand complementary perspectives around consumers’e-waste recycling intention based on the integration of the valence theory and the norm activation theory.Four data mining models using classification and prediction-based algorithms,namely Chi squared automatic interaction detector(CHAID),Neural network,Discriminant analysis,and Quick,unbiased,efficient statistical tree(QUEST),were employed to analyze a set of the 398 data collected in Vietnam.The re‐sults revealed that the social support value is by far the most critical predictor,followed by the utilitarian value,task difficulty,and monetary risk.It is also noteworthy that the awareness of consequences,education background,the ascription of responsibility,and age were also ranked as critical affecting factors.The lowest influential predictors found in this study were income and gender.In addition,a comparison was made in terms of the classification performance of the four utilized data mining techniques.Based on several evalua‐tion measurements(confusion matrix,accuracy,precision,recall,specificity,F-measure,ROC curve,and AUC),the aggregated results suggested that CHAID and Neural network performed the best.The findings of this research are expected to assist policymakers and future researchers in updating all information surround‐ing consumer behavioral intention-related topics focusing on e-waste.Furthermore,the adoption of data min‐ing algorithms for prediction is another insight of this study,which may shed the light on data mining applica‐tions in such environmental studies in the future.

Evolution of Climate Policy in the UK before and after Brexit from the Perspective of Normative Power Theory and Its Enlightenment to China

As the host country of the 26 th United Nations Climate Conference,the United Kingdom(UK)fully carried out climate diplomacy at the conference,and intended to promote the green concept in the international community through diplomatic means,which shows its greater ambition in international climate governance.However,the UK,as the source of the Industrial Revolution,has not always followed the so-called green norms in history.In the interaction with the EU norms after joining the European Community,the UK gradually developed from an"opponent"of green norms to an"advocate"of green norms.After"Brexit",the British government did not stop at the previous green norms of the EU,and further gave the green norms a special brand of the UK on this basis.At present,during the term of Boris Johnson's government,the green norms shaped by the UK have been basically formed and disseminated within a certain mechanism.In this paper,based on the normative power theory and relevant historical facts,how the UK has shaped international norms and obtained normative power through a series of climate policy will be discussed,and some enlightenment to China's participation in the construction of international norms system today will be obtained.

Technique for Estimating the Cone Bearing Smoothing Parameters

Cone penetration testing (CPT) is an extensively utilized and cost effective tool for geotechnical site characterization. CPT consists of pushing at a constant rate an electronic cone into penetrable soils and recording the resistance to the cone tip (qc value). The measured qc values (after correction for the pore water pressure) are utilized to estimate soil type and associated soil properties based predominantly on empirical correlations. The most common cone tips have associated areas of 10 cm2 and 15 cm2. Investigators also utilized significantly larger cone tips (33 cm2 and 40 cm2) so that gravelly soils can be penetrated. Small cone tips (2 cm2 and 5 cm2) are utilized for shallow soil investigations. The cone tip resistance measured at a particular depth is affected by the values above and below the depth of interest which results in a smoothing or blurring of the true bearing values. Extensive work has been carried out in mathematically modelling the smoothing function which results in the blurred cone bearing measurements. This paper outlines a technique which facilitates estimating the dominant parameters of the cone smoothing function from processing real cone bearing data sets. This cone calibration technique is referred to as the so-called CPSPE algorithm. The mathematical details of the CPSPE algorithm are outlined in this paper along with the results from a challenging test bed simulation.

面向智慧教育的技术伦理取向与风险规约

当前,智能技术与教育的全过程融合正推动教育方式发生深刻转变,同时衍生出算法歧视、技术滥用、隐私泄露和教育主体错位等技术伦理风险,如何规避风险以最大化享受智能技术红利成为智慧教育发展的重要议题。为此,文章首先分析技术伦理相关报告文件,刻画智慧教育在智能技术、教育主体、教育数据和教育监管四个向度的技术伦理取向;然后,文章剖析“教-学-管-评-练-研”六大智慧教育典型场景下的差异化技术伦理风险表征,将其产生根源归为技术工具失信、教育实践失范和师生素养不足三个层面;最后,文章从技术升级、风险管理、问责监管、数据流动和素养提升角度给出风险防范与治理建议,助力智慧教育健康可持续发展。

公众森林碳汇购买意愿影响因素研究——基于TPB—NAM整合模型

有效的碳普惠机制与森林碳汇产品的价值实现对中国生态文明的建设至关重要,理清公众森林碳汇购买意愿影响因素对森林碳汇政策的制定具有现实意义。基于计划行为理论、规范激活理论并融合生态文明思想内核,选用结构方程模型,利用515份社会公众问卷数据,实证检验了公众森林碳汇购买愿意影响因素及作用机理。结果表明:(1)公众森林碳汇购买意愿是理性和道德交互作用的结果,而非纯理性或纯道德驱动行为;(2)行为态度、感知规范和知觉行为控制都对公众森林碳汇购买意愿具有显著正向影响,但影响程度具有差异性,其中感知规范对购买意愿影响最大,因此公众环境道德素养是影响其森林碳汇购买行为的最重要因素;(3)社会公众森林碳汇购买意愿影响因素表征变量的具体作用表现不同:感知规范中,公众个体道德规范对其森林碳汇购买意愿影响最大;行为态度中,公众森林碳汇生态、政治效益认知对购买意愿影响最大;知觉行为控制中,森林碳汇信息量、森林碳汇价格等都是影响公众森林碳汇购买意愿的因素,但影响程度差异不大。

基于组合圆锥构型的水下声学定位系统布站优化

在水下目标定位中,布站构型的共面约束会导致目标单点定位的几何精度因子(GDOP)理论最小值不能达到。为改善水下布站的观测矩阵,将单圆锥扩展为组合圆锥构型布站模式。然而,传统的优化算法易陷入局部最优且存在收敛效率低等问题。针对以上问题,提出了一种改进的自适应粒子群算法。首先提出了一种有共面约束的水下声学定位系统组合圆锥构型,并证明了所提出的组合圆锥构型具有可叠加性、可旋转性以及GDOP旋转不变性;其次,针对布站优化指标单一的问题,构建了一种基于水下目标全局GDOP的布站优化准则;在此基础上提出了一种基于自适应粒子群的优化算法,并应用于组合圆锥构型下的水下声学定位系统布站优化。所提出的自适应粒子群算法能增强布站的全局最优性,提高算法收敛效率和水下目标的定位精度。

降阶单元的新进展:内置了最大模误差估计器的自适应有限元法初探

该文基于初值问题中降阶单元的成功实践,进一步对一般边值问题提出无需超收敛计算、无需结构化网格、无需结点位移修正的降阶单元;进而提出以降阶单元作为最终解,且内置了最大模误差估计器的自适应有限元算法。该文对这一研究进展做简要介绍,并给出一维和二维边值问题的初步算例,以展示本法的可行性、有效性和可靠性。

数字环境下算法版权执法规范性研究

作为应对与日俱增、日趋复杂的互联网版权侵权问题的手段之一,基于算法的内容自动识别技术正在世界范围内得到青睐,适用范围逐步扩大。但同时,其在言论自由保护、识别误差规避、正当程序设计等方面存在的问题也日益凸显,受到包括法律界在内的各方的质疑。通过对算法识别技术应用手段的梳理,提出对于该技术的规制可以通过明确适用许可、增加透明度要求、原则性条款的技术嵌入以及制定量化判断标准等科技创新与规则制定深度融合的方式予以解决,从而实现各方利益相关者的平衡。

运动伪影校正技术改善肾动脉瘤锥形束CT图像质量

目的观察运动伪影校正技术(MFT)对于改善肾动脉瘤锥形束CT(CBCT)图像质量的价值。方法前瞻性选取20例拟接受经导管动脉栓塞治疗的肾动脉瘤患者,于CBCT引导下行肾动脉造影,采用MFT处理运动伪影;对MFT校正前、后图像质量进行主、客观评价,评估其显示肾动脉、载瘤动脉及靶区血管树情况,测算单位密度像素平均值(mean)、标准差(SD)及血管边缘锐化误差率。结果MFT校正后,肾动脉瘤最大密度投影图像显示肾动脉、重建CBCT图像显示载瘤动脉均明显优于校正前(P均<0.05);利用Flightplan for Liver软件可自动提取清晰的血管树;肾动脉瘤CBCT图像SD及血管边缘锐化误差率明显减小而mean明显增加(P均<0.05)。结论MFT可有效改善肾动脉瘤CBCT图像质量。

气候司法本土化的三重逻辑:规范、价值和功能

在全球气候治理司法化转型的背景下,中国司法系统在应对气候变化中呈现出全面积极的态度。气候司法作为环境司法专门化的新领域,亟须形成体系性的本土化方案。气候司法本土化的核心要义在于彰显主体性,需要将气候司法的概念体系、功能定位、审判机制、裁判体系与规则等置于中国法治现代化特定背景和社会结构条件之中予以把握,其内在逻辑是涵括规范体系、价值序列和功能定位的动态体系。当前,中国气候司法规范体系中的多层次立法呈现间接、倡导属性,且多元化司法规范创制不足,体系化任务尚未完成,继而诱导出气候司法规范的周延性困境和融贯性难题。在此情形下,气候司法所保护法益的识别和核心价值尚未被清晰地析出,且科学上的不确定性、政策权衡、经济诱因等诸多外部因素限制着对气候变化案件的价值判断。这些都深刻地影响气候司法作为公益型司法与治理型司法的双重功能定位和发展方向。为此,气候司法本土化的方式与进路需要基于规范、价值和功能三重逻辑及其呈现的问题或要求展开。首先,强化多重规范秩序的塑造,从公私法协同出发推动气候变化立法体系化,通过强化次级气候司法规范凝聚共识,借助多元法律解释方法提升气候司法规范体系的融通性。其次,以利益为核心建构法律论证的权威,通过涉碳利益的衡量强化裁判的实质理由,通过气候环境利益的多维保护强化裁判的开放性,通过外在因素与法律因素的平衡强化裁判的权威理由。最后,精准塑造气候司法的双重功能,以风险预防原则构建预防性公益型气候司法,以政策的司法化构建服务于“双碳”目标的治理型气候司法。

行政规范性文件备案审查中比例原则的适用

行政规范性文件备案审查是一种事后的合法性监督制度。作为方法论意义上的比例原则引入行政规范性文件备案审查,旨在改善行政规范性文件备案审查的方法,提升行政规范性文件备案审查的实效。适当性原则审查的核心是手段与目的关联性。关联性是指手段能够正向推进目的得以实现的单向关系。必要性原则审查的核心是手段与结果的关联性,最小损害是确定关联性的基本要素。均衡性原则审查的核心是手段与结果的合比例性,利益衡量是确定合比例性的基本方法。在行政规范性文件备案审查中,事实审查有助于提升行政规范性文件的“科学性”。对因紧急状态而制定的行政规范性文件进行备案审查,可以适度降低比例原则的要求。