E~4中二次锥型超曲面立体图及其在三维投影空间正投影图的研究     

赖福兴 《绵阳师范学院学报》2000,(5)

讨论了四维空间中 3种锥型超曲面的形成方法 ,并根据多维画法几何原理图示出了四维空间中锥型超曲面的超立体图形及其在 4个投影子空间正投影图形 ,为工程技术中 4个变量的非线性问题提供了直观形象的几何模型 ,为图解 4个变量非线性问题提供了作图依据。  相似文献   

Inhomogeneous Differential Realization, Boson-Fermion Realization of OSP(2,1) Superalgebra and Its Representations     

陈永清 《深圳信息职业技术学院学报》2000,(2)

Homogeneous and inhornogeneous differential realizations of the OSP(2,1)superalgebra on the spaces of homogeneous and inhomogeneous polynomials and the corresponding boson-fermioii realizations are studied.The new indecomposable and irreducible representations of the OSP(2,1)are given on subspaces and quotient spaces of the universal enveloping algebras of Heisenberg-Weyl superalgebra.All the finite dimensional irreducible representation of the OSP(2,1)superalgebra is naturally obtained as special cases.  相似文献   

运动技能水平与视觉表象能力关系的实验研究   总被引：1，自引：1，他引：0  

曾Peng 《广州体育学院学报》2000,20(1):58-62

以视觉表象的操作速度和准确性为测试指标,对１２０名不同运动技能水平的大学生进行了测试。测试结果表明：运动技能水平和视觉表象操作水平之间有密切关系,高水平运动技能组的视觉表象操作水平相对较高,而低运动技能水平组的视觉表象操作水平亦相对较低;除了体操运动员在明的操作速度上其它项目运动员之外,其它几个运动项目的运动员在视觉表象的操作水平方面均无显性差异;不同性别的男女运动员在经过长期的专门训练后其视觉  相似文献   

关于建立和完善高校教代会制度的思考     

贺诒芝  江薇 《合肥联合大学学报》1998,(4)

教代会制度是高校教职工行使民主权力,参与学校民主管理的基本形式,要从法律上、制度上切实保证教代会制度的建立和完善。  相似文献   

等式u(x)f(x)+v(x)g(x)=(f(x),g(x))中u(x)和v(x)的矩阵表示     

徐熙君 《青岛大学师范学院学报》1998,(2)

本文给出了多项式最大公因式等式u（x）f（x）＋v（x）g（x）＝（f（x）,g（x））中u（x）和v（x）的矩阵表示,并讨论以u（x）和v（x）的有关性质。  相似文献   

Preventing profiling for ethical fake news detection     

《Information processing & management》2023,60(2):103206

A news article’s online audience provides useful insights about the article’s identity. However, fake news classifiers using such information risk relying on profiling. In response to the rising demand for ethical AI, we present a profiling-avoiding algorithm that leverages Twitter users during model optimisation while excluding them when an article’s veracity is evaluated. For this, we take inspiration from the social sciences and introduce two objective functions that maximise correlation between the article and its spreaders, and among those spreaders. We applied our profiling-avoiding algorithm to three popular neural classifiers and obtained results on fake news data discussing a variety of news topics. The positive impact on prediction performance demonstrates the soundness of the proposed objective functions to integrate social context in text-based classifiers. Moreover, statistical visualisation and dimension reduction techniques show that the user-inspired classifiers better discriminate between unseen fake and true news in their latent spaces. Our study serves as a stepping stone to resolve the underexplored issue of profiling-dependent decision-making in user-informed fake news detection.  相似文献   

Adapting multilingual speech representation model for a new,underresourced language through multilingual fine-tuning and continued pretraining     

《Information processing & management》2023,60(2):103148

  相似文献   

Re-examining lexical and semantic attention: Dual-view graph convolutions enhanced BERT for academic paper rating     

《Information processing & management》2023,60(2):103216

Automatically assessing academic papers has enormous potential to reduce peer-review burden and individual bias. Existing studies strive for building sophisticated deep neural networks to identify academic value based on comprehensive data, e.g., academic graphs and full papers. However, these data are not always easy to access. And the content of the paper rather than other features outside the paper should matter in a fair assessment. Furthermore, while BERT models can maintain general semantics by pre-training on large-scale corpora, they tend to be over-smoothing due to stacked self-attention layers among unfiltered input tokens. Therefore, it is nontrivial to figure out distinguishable value of an academic paper from its limited content. In this study, we propose a novel deep neural network, namely Dual-view Graph Convolutions Enhanced BERT (DGC-BERT), for academic paper acceptance estimation. We combine the title and abstract of the paper as input. Then, a pre-trained BERT model is employed to extract the paper’s general representations. Apart from hidden representations of the final layer, we highlight the first and last few layers as lexical and semantic views. In particular, we re-examine the dual-view filtered self-attention matrices via constructing two graphs, respectively. After that, two multi-hop Graph Convolutional Networks (GCNs) are separately employed to capture pivotal and distant dependencies between the tokens. Moreover, the dual-view representations are facilitated by each other with biaffine attention modules. And a re-weighting gate is proposed to further streamline the dual-view representations with the help of the original BERT representation. Finally, whether the submitted paper could be acceptable is predicted based on the original language model features cooperated with the dual-view dependencies. Extensive data analyses and the full paper based MHCNN studies provide insights into the task and structural functions. Comparison experiments on two benchmark datasets demonstrate that the proposed DGC-BERT significantly outperforms alternative approaches, especially the state-of-the-art models like MHCNN and BERT variants. Additional analyses reveal significance and explainability of the proposed modules in the DGC-BERT. Our codes and settings have been released on Github (https://github.com/ECNU-Text-Computing/DGC-BERT).  相似文献   

What Students Should Know About Technology: The Case of Scientific Visualization     

Friedman  Jeffrey S.  diSessa  Andrea A. 《Journal of Science Education and Technology》1999,8(3):175-195

Journal of Science Education and Technology - Starting with the focal question, “what should students know about technology?” we describe and illustrate a way of designing educational...  相似文献   

量子超代数OSP_q(1,2)的参数化循环表示     

陈永清 《深圳信息职业技术学院学报》1999,(1)

本文依据量子超代数OSPq(1,2)的q变形玻色实现,在q变形Fock空间上得到了此代数的q玻色表示。通过引入一个p维线性空间,建立了此代数的参数化循环表示。  相似文献