Cross-Modal Consistency with Aesthetic Similarity for Multimodal False Information Detection

With the explosive growth of false information on social media platforms, the automatic detection of multimodalfalse information has received increasing attention. Recent research has significantly contributed to multimodalinformation exchange and fusion, with many methods attempting to integrate unimodal features to generatemultimodal news representations. However, they still need to fully explore the hierarchical and complex semanticcorrelations between different modal contents, severely limiting their performance detecting multimodal falseinformation. This work proposes a two-stage detection framework for multimodal false information detection,called ASMFD, which is based on image aesthetic similarity to segment and explores the consistency andinconsistency features of images and texts. Specifically, we first use the Contrastive Language-Image Pre-training(CLIP) model to learn the relationship between text and images through label awareness and train an imageaesthetic attribute scorer using an aesthetic attribute dataset. Then, we calculate the aesthetic similarity betweenthe image and related images and use this similarity as a threshold to divide the multimodal correlation matrixinto consistency and inconsistencymatrices. Finally, the fusionmodule is designed to identify essential features fordetectingmultimodal false information. In extensive experiments on four datasets, the performance of the ASMFDis superior to state-of-the-art baseline methods.

Consistence of Network Filtering Rules

The inconsistence of firewall/VPN(Virtual Private Network) rule makes a huge maintainable cost. With development of Multinational Company, SOHO office, E-government the number of firewalls/VPN will increase rapidly. Rule table in stand-alone or network will be increased in geometric series accordingly. Checking the consistence of rule table manually is inadequate. A formal approach can define semantic consistence, make a theoretic foundation of intelligent management about rule tables. In this paper, a kind of formalization of host rules and network ones for auto rule-validation based on SET theory were proporsed and a rule validation scheme was defined. The analysis results show the superior performance of the methods and demonstrate its potential for the intelligent management based on rule tables.

Individual consistency in spatiotemporal characteristics of migratory Whimbrels in the East Asian-Australasian Flyway

Many migratory birds exhibit interannual consistency in migration schedules,routes and stopover sites.Detecting the interannual consistency in spatiotemporal characteristics helps understand the maintenance of migration and enables the implementation of targeted conservation measures.We tracked the migration of Whimbrel(Numenius phaeopus)in the East Asian-Australasian Flyway and collected spatiotemporal data from individuals that were tracked for at least two years.Wilcoxon non-parametric tests were used to compare the interannual variations in the dates of departure from and arrival at breeding/nonbreeding sites,and the inter-annual variation in the longitudes when the same individual across the same latitudes.Whimbrels exhibited a high degree of consistency in the use of breeding,nonbreeding,and stopover sites between years.The variation of arrival dates at nonbreeding sites was significantly larger than that of the departure dates from nonbreeding and breeding sites.Repeatedly used stopover sites by the same individuals in multiple years were concentrated in the Yellow Sea coast during northward migration,but were more widespread during southward migration.The stopover duration at repeatedly used sites was significantly longer than that at sites used only once.When flying across the Yellow Sea,Whimbrels breeding in Sakha(Yakutia)exhibited the highest consistency in migration routes in both autumn and spring.Moreover,the consistency in migration routes of Yakutia breeding birds was generally higher than that of birds breeding in Chukotka.Our results suggest that the northward migration schedule of the Whimbrels is mainly controlled by endogenous factors,while the southward migration schedule is less affected by endogenous factors.The repeated use of stopover sites in the Yellow Sea coast suggests this region is important for the migration of Whimbrel,and thus has high conservation value.

Differentiating consistency of meningioma based on grey-level histogram analysis of T2WI

Objective To observe the value of grey-level histogram analysis based on T2WI for differentiating consistency of meningioma.Methods Data of 109 patients with meningioma were retrospectively analyzed.The patients were divided into hard group(n=71)and soft group(n=38)according to the consistency of tumors.Tumor ROI was outlined on axial T2WI showing the largest tumor section,gray levels were extracted and histogram analysis was performed.The value of each histogram parameter were compared between groups.Then receiver operating characteristic curve was drawn,and the area under the curve(AUC)was calculated to evaluate the efficiency for differentiating soft and hard meningioma.Results P 1,P 10,P 50,P 90,P 99 and the mean grey levels on T2WI in soft group were all higher than those in hard group(all P<0.05),while the variance,the kurtosis and the skewness were not significantly different between groups(all P>0.05).The differentiating efficiency of P 1,P 10,P 50,P 90,P 99 and the mean grey levels on T2WI were all fine,with AUC of 0.774 to 0.833,and no significant difference was found(all P>0.05).Conclusion Parameters of grey-level histogram analysis such as P 1,P 10,P 50,P 90,P 99 and the mean values based on T2WI were all valuable for differentiating soft and hard meningioma.

Decoding the inconsistency of six cropland maps in China

Accurate cropland information is critical for agricultural planning and production,especially in foodstressed countries like China.Although widely used medium-to-high-resolution satellite-based cropland maps have been developed from various remotely sensed data sources over the past few decades,considerable discrepancies exist among these products both in total area and in spatial distribution of croplands,impeding further applications of these datasets.The factors influencing their inconsistency are also unknown.In this study,we evaluated the consistency and accuracy of six cropland maps widely used in China in circa 2020,including three state-of-the-art 10-m products(i.e.,Google Dynamic World,ESRI Land Cover,and ESA WorldCover)and three 30-m ones(i.e.,GLC_FCS30,GlobeLand 30,and CLCD).We also investigated the effects of landscape fragmentation,climate,and agricultural management.Validation using a ground-truth sample revealed that the 10-m-resolution WorldCover provided the highest accuracy(92.3%).These maps collectively overestimated Chinese cropland area by up to 56%.Up to 37%of the land showed spatial inconsistency among the maps,concentrated mainly in mountainous regions and attributed to the varying accuracy of cropland maps,cropland fragmentation and management practices such as irrigation.Our work shed light on the promotion of future cropland mapping efforts,especially in highly inconsistent regions.

Identifying Brand Consistency by Product Differentiation Using CNN

This paper presents a new method of using a convolutional neural network(CNN)in machine learning to identify brand consistency by product appearance variation.In Experiment 1,we collected fifty mouse devices from the past thirty-five years from a renowned company to build a dataset consisting of product pictures with pre-defined design features of their appearance and functions.Results show that it is a challenge to distinguish periods for the subtle evolution of themouse devices with such traditionalmethods as time series analysis and principal component analysis(PCA).In Experiment 2,we applied deep learning to predict the extent to which the product appearance variation ofmouse devices of various brands.The investigation collected 6,042 images ofmouse devices and divided theminto the Early Stage and the Late Stage.Results show the highest accuracy of 81.4%with the CNNmodel,and the evaluation score of brand style consistency is 0.36,implying that the brand consistency score converted by the CNN accuracy rate is not always perfect in the real world.The relationship between product appearance variation,brand style consistency,and evaluation score is beneficial for predicting new product styles and future product style roadmaps.In addition,the CNN heat maps highlight the critical areas of design features of different styles,providing alternative clues related to the blurred boundary.The study provides insights into practical problems for designers,manufacturers,and marketers in product design.It not only contributes to the scientific understanding of design development,but also provides industry professionals with practical tools and methods to improve the design process and maintain brand consistency.Designers can use these techniques to find features that influence brand style.Then,capture these features as innovative design elements and maintain core brand values.

基于对抗学习和一致性正则的半监督语义分割方法

为了降低语义分割任务对像素级标签的需求,提出一种基于对抗学习和Mean teachers模型的半监督语义分割方法。该方法训练过程分为两个阶段,第一阶段在分割网络之后连接判别网络,通过对抗学习使分割网络预测结果逐渐接近真实标签;第二阶利用第一阶段的网络参数做指数移动平均得到教师网络,与分割网络做一致性训练,使模型性能进一步提升。使用PASCAL VOC 2012数据集进行实验,结果表明在使用相同数量的标签训练下,该方法的分割图的质量和评价指标mIoU优于现有半监督语义分割方法。

调和分数Ornstein-Uhlenbeck金融模型的参数估计

为了描述金融资产价格过程的长相依性和自相似性,首先构建由调和分数布朗运动驱动的分数Ornstein-Uhlenbeck(O-U)模型.由于调和分数布朗运动是分数布朗运动的推广,故所构建的模型具有更广泛的应用.然后基于离散观测样本,利用最小二乘方法,得到模型漂移参数的估计量,并证明了估计量的相合性和渐近分布.最后,通过模拟展示了所得估计量的有限样本性质,模拟结果显示估计量的值拟合参数真值的效果较好.

基于多尺度广义自洽模型的耐火材料变温性能预测

针对耐火材料在高温工况下弹性模量的复杂非线性变化,从两相热膨胀系数失配导致的材料失效理论入手,借助多尺度广义自洽模型,提出了一种利用耐火材料各组分的热弹性性能对其变温过程中的宏观非线性行为进行预测的方法。以热压成型的玻璃-球形氧化铝耐火材料为例,对其升温/降温过程中的弹性模量进行了预测。结果表明,预测值与实验数据基本相吻合,利用该方法预测两相耐火材料的热弹性性能能够得到较为精确的结果。

B/N掺杂单栅GFET的自洽模型研究

建立了B/N掺杂单栅石墨烯场效应管(GFET)全工作区域下的漏极电流模型。利用自洽方法获取精确的电势-电荷关系,解决了建模过程中的多重对数问题。该模型明确捕捉到产生非零带隙和狄拉克(Dirac)点偏移对载流子片电荷密度和迁移率等参数的影响。此外,通过考虑相互作用参数和杂质浓度建立了一种半经典扩散迁移率模型。所提出的漏极电流模型和扩散迁移率模型的模拟数据与7.5%B-掺杂单栅GFET的实验数据具有良好的一致性,验证了方法的有效性。在不同掺杂浓度下,B/N掺杂单栅GFET漏极电流模型所预测的转移特性曲线与输出特性曲线表明,通过掺杂能够完全抑制单栅GFET的双极性行为,增强了输出饱和性,并提高了开关比。因此,B/N掺杂单栅GFET能够同时满足模拟/射频电路和数字电路的应用条件。

宏观政策取向一致性评估探析:基于健全宏观经济治理体系的视角

基于健全宏观经济治理体系的视角,“把经济政策和非经济性政策统一纳入宏观政策取向一致性评估”不仅是必要的,而且是可行的。就必要性而言,中国宏观经济治理体系的经济目标更加多元,只靠短期稳定政策不足以实现多元经济目标,需要纳入更多类型的经济政策。考虑到非经济性政策可能对宏观经济治理体系的目标产生“误伤”,因而也要将非经济性政策纳入评估范畴。就可行性而言,中国特色宏观调控和宏观经济治理的实践经验为宏观政策取向一致性评估提供了丰富的实践基础;基于中国政策实践所提炼的宏观政策“三策合一”理论,为宏观政策取向一致性评估提供了可参考的学理基础。为了确保宏观政策取向一致性评估高效推进,需要构建科学的评估体系并成立专门的评估机构,基于“统一评估+自评估”的评估模式,对宏观政策取向一致性进行事前、事中、事后全覆盖评估。

教―学―评一致性的关键环节:课程标准的深度理解与落实

教―学―评一致性是基于课程标准的一致性,对课程标准的深度理解和全面落实是教―学―评一致性的关键环节。从课程标准的视角,分析考生在2024年天津市普通高中学业水平等级性考试历史学科中的水平表现,并提出教学优化建议:重视“课程性质与基本理念”,切实改变教育观念;认识“学科核心素养与课程目标”,真正落实课程要求;分析“课程内容”,践行“教学提示”和“学业要求”。

主动回波控制的阵列布局设计与优化

针对水下航行器覆盖层厘米级厚度与米级低频探测波长的尺度矛盾难题,通过超磁致伸缩换能器次级发射阵元研制及发射单元表面构型优化,基于相控阵的主动回波控制方法开展水下大试样主动回波控制效果的仿真评估。通过声学有限元模型数值仿真与大型压力消声水罐中的试验数据对比,验证空间声场中3个位置的声压级与声压云图,并研究不同阵列布局在300~2000 Hz的低频带范围内6个频率点的声场一致性。研究结果表明:频率越高,形成的平面声场一致性越差;以方盘为阵元的阵列形成的平面声场一致性优于圆盘阵列;最优阵列布局可在10 m后形成较好的平面声场,配合发射单元的最优构型进一步改善主动回波控制下的声场均匀程度,以达到更好的控制效果。

Study of prestack elastic parameter consistency inversion methods

The three parameters of P-wave velocity, S-wave velocity, and density have remarkable differences in conventional prestack inversion accuracy, so study of the consistency inversion of the ＂three parameters＂ is very important. In this paper, we present a new inversion algorithm and approach based on the in-depth analysis of the causes in their accuracy differences. With this new method, the inversion accuracy of the three parameters is improved synchronously by reasonable approximations and mutual constraint among the parameters. Theoretical model calculations and actual data applications with this method indicate that the three elastic parameters all have high inversion accuracy and maintain consistency, which also coincides with the theoretical model and actual data. This method has good application prospects.

Rheological properties of low consistency TMP from thinning wood of Chinese Fir

The rheological behavior of low consistency thermomechanical pulp of Chinese fir harvested by intermediate thinning was analyzed. The results show that the apparent viscosity of pulp changed along with the beating degree, pulp consistency and shearing velocity. With the increasing of pulp consistency, the apparent viscosity of pulp increased gradually. Beating degree of pulp had an effect on microstructure of pulp. The apparent viscosity of pulp declined as beating degree of pulp increased, and the apparent viscosity of pulp fell along with the shearing velocity increasing. Based on the results, the rheological models are set up. The models showed that the fluid types of the low consistency pulp could be described as pseudoplastics fluids （non-Newtonian fluids）.

Consistency of Water Production Function Models of Two Crops

On basis of test information, the research performed analysis on water production function models of two crops, which indicated that water model of crops in whole growth stage and water model of crops indifferent growth stages have consistency as well as differences, providing references for optimization of irrigation water. Meanwhile, the research analyzed the deficiency of optimization on irrigation water for crops just by Jensen model.

GRBAS和CAPE-V量表中文听感知评估一致性分析

目的 评估在中文语境下GRBAS和CAPE-V的评估者内和评估者间一致性。方法 5名嗓音相关专业人员使用《发音评估助手》APP对抽取自解放军总医院第六医学中心病理嗓音数据库V1.0的52例语音样本进行GRBAS和CAPE-V评估,52例用于评估者间一致性分析,其中的38例用于评估者内部一致性评估。使用ICC对CAPE-V进行评估者内和评估者间一致性分析,采用Cohen's Kappa方法对GRBAS的5个特征进行评估者内一致性分析,采用Fleiss Kappa方法对GRBAS评估者间一致性进行分析,并对两个量表中相同的特征进行Spearman相关性分析。结果 评估者内一致性分析结果示,CAPE-V 6个特征均呈现出高的一致性,各特征的ICC系数分别为总体音质(OS)=0.80,粗糙度(R)=0.69,气息音(B)=0.77,紧张度(S)=0.75,音调异常程度(P)=0.74,响度异常程度(L)=0.78;GRBAS除特征G(0.48)和S(0.45)存在较弱的评估者内一致性外,其余特征的评估者内一致性均较差。评估者间一致性分析结果示,CAPE-V各特征的ICC相关系数均大于0.85,提示不同评估者对各特征的评分均具有很高的一致性;GRBAS除G特征(相关系数=0.48)外,其余特征的相关系数均小于0.40,说明除特征G外,其余特征的评估者间一致性均较差。在同时使用GRBAS和CAPE-V对同一样本进行评估时,总体音质(OS/G)、粗糙度(R)、气息音(B)、紧张度(S)的Spearman相关系数分别为0.89、0.85、0.91、0.91,提示两个量表中的这4个特征的评分结果具有高度相关性。结论 在中文语音样本的听感知评估中,CAPE-V量表的评估者内和评估者间一致性更高,较GRBAS量表更适用于临床。

面向机动目标的设定时间多约束协同制导律

针对三维空间中多航天器协同捕获机动目标问题,提出一种具有终端角度约束和时间一致性约束的设定时间协同制导律,将视线(Line-of-sight,LOS)角误差和齐射攻击的收敛时间作为一个可提前设定的参数,实现对收敛时间进行设置.构建三维场景航天器−目标运动学模型,在沿视线方向将同时攻击问题转化为一致性问题,提出一种分布式协同制导律,设定时间内使得多个航天器剩余飞行时间相等;在垂直视线方向利用滑模控制方法对制导律进行设计,使得每个航天器的视线角在设定时间内达到期望值.上述制导律中,设计了一种设定时间扩展状态观测器(Predefined-time extended state observer,PTESO)对未知的目标加速度进行估计.数值仿真结果验证了方法的有效性.

从句子图到篇章图——基于抽象语义表示的篇章级共指标注体系研究

篇章级共指关系是语言学和计算语言学的研究难点之一。本文在梳理共指理论研究与趋势的基础上,回顾共指语料库的构建与自动解析方法,指出共指语料的构建主要存在以下两个问题:共指关系的标注较为粗疏,也基本不考虑与句子语义结构本身的关系。本文在句子级语义标注体系(中文抽象语义表示)的基础上,设计篇章共指的标注体系,以“概念同一性”为基本原则,从词形的异同和概念的表述角度区分9种篇章共指关系,标注了500个篇章的共指信息。与已完整标注的52种句内语义关系相结合,构建出带有篇章共指信息的篇章抽象语义图库。该语料库选自CTB新闻语料,体裁涵盖经济、体育及生活类,规模为6237句,16万词例。该语料库的构建为篇章级语义分析提供了新框架与数据资源。

面向NewSQL数据库数据协同持久化的研究

现代NewSQL数据库为了提供数据的高可用性,通常会为数据提供多个副本,以便在某个副本不可用时,可以从其他的副本中获取数据。而在数据多副本的情况下,又需要考虑副本间的数据一致性问题,即在某一时刻不同客户端读取某个数据时得到的结果应该是相同的,因此引入了事务处理机制。在一个包含多个写操作的交互式事务处理过程中,由于数据存在多个副本,因此每个写入操作需要对所有的主备副本进行写入操作。然而主备副本通常分散在不同的机器上,因此会引入写远端副本的时延,其最终将会增大整个事务的处理时延。针对该问题,提出了数据协同持久化的方案,其主要思想是让客户端在本地缓存事务的写操作日志,在最终提交事务时,客户端首先将事务中的写操作日志进行持久化,并将该日志发送给事务的协调者节点,让协调者进行日志数据的分发处理,从而达到两者协同持久化事务数据的目的。实验结果表明,相较于同步持久化方案,协同持久化方案不仅能降低交互式事务处理的时延,还能提高约38%左右的系统极限吞吐率。