关于Ermakoff定理的注记

本文将著名的ErTnakoff定理进行引伸,使之应用到正项级数敛散性判定上更加灵活,并同时获得了一些有趣的结果.     

中国古代诗画论探析

诗借鉴绘画的表现功能,但同时又实现对绘画的超越。诗人是以超人的敏感捕捉对自然的异样感受,以画家的眼睛观察自然瞬息万变的色彩,以音乐家的耳朵倾听自然静谧的声响,以哲人的静观体悟宇宙生命的律动,这些汇成一种超越视觉的全息诗性经验,把诗推向不可画的境地。     

关于AR-MA双重时序模型平稳解的存在性

本文在参考文献[1]、[2]的基础上讨论了AR-MA双重时序模型存在平稳解的条件,获得了AR(1)-MA(1)和AR(1)-MA(2)存在平稳解的充要条件(不必假定白噪声序列为正态)。本文的方法完全适用于讨论一般的AR(1)-MA(q)模型的平稳解的存在性,而且对讨论AR-AR模型也有所启发。     

Enhancement of Anatomical Education Using Augmented Reality: An Empirical Study of Body Painting

Students in undergraduate premedical anatomy courses may experience suboptimal and superficial learning experiences due to large class sizes, passive lecture styles, and difficult-to-master concepts. This study introduces an innovative, hands-on activity for human musculoskeletal system education with the aim of improving students’ level of engagement and knowledge retention. In this study, a collaborative learning intervention using the REFLECT (augmented reality for learning clinical anatomy) system is presented. The system uses the augmented reality magic mirror paradigm to superimpose anatomical visualizations over the user’s body in a large display, creating the impression that she sees the relevant anatomic illustrations inside her own body. The efficacy of this proposed system was evaluated in a large-scale controlled study, using a team-based muscle painting activity among undergraduate premedical students (n = 288) at the Johns Hopkins University. The baseline knowledge and post-intervention knowledge of the students were measured before and after the painting activity according to their assigned groups in the study. The results from knowledge tests and additional collected data demonstrate that the proposed interactive system enhanced learning of the musculoskeletal system with improved knowledge retention (F_(10,133) = 3.14, P < 0.001), increased time on task (F_(1,275) = 5.70, P < 0.01), and a high level of engagement (F_(9,273) = 8.28, P < 0.0001). The proposed REFLECT system will be of benefit as a complementary anatomy learning tool for students.     

现代漆画教学的探究与思考

本文根据漆画教学经验,着重对漆画语言的探索,加强对漆画的局限性与表现力、工艺美与艺术美、质材美与技艺美的表现,融古贯今,推陈出新,创造出具强大张力及引力,富时代气息与民族特色的现代漆画艺术。     

清代女性“题画诗”论

题画诗是历代文人喜用的题材,明清以降尤为风行。有着极高艺术修养的清代女诗人,将其当成她们驰骋才情的"命题作文"。她们熟练地驾驭着题画诗的创作方法,将画面上的物象转换为含蕴深厚的意境,寄托对生活的感悟,形成了独有的风味。     

二项式函数f(x)=(1+x)α(α≠0)的幂级数展开式及其应用

详细介绍了二项式函数f(x)=(1+x)α(α≠0)的幂级数展开式、收敛域的确定及其二项式级数在数学中的应用.     

论油画语言表现上的具象与抽象的关系

随着人们人文观念和审美心理活动的变化,油画语言在形态的创造中不断地扩展与延伸。虽然在具象世界里包含着个体的人对于世界的不同理解,然而,西方摄影技术发明后,油画语言特有的能够表现出精神上的体验功能进一步彰显。透过油画语言,我们看到了它所表现出的从具象表面上渗透出的内在精神以及抽象形式所反映的生活真实。     

从伯克的"语言四维度"看"印象系列"的修辞效果

在<语言是象征行动>中,伯克明确提出语言四个基本维度:诗学、逻辑与语法、修辞以及伦理学.这四个维度几乎覆盖了语言的所有范围:诗学语言在富有情感的同时也含有理性的成分;逻辑语言并不仅仅局限于语法及逻辑思维,更应与理性相结合,指导行动;修辞语言贵在用劝说、劝勉的语气达到合作竞争的目的;伦理语言,要求我们真实准确地表达人格品...     

Predicting future dynamics from short-term time series using an Anticipated Learning Machine

Predicting time series has significant practical applications over different disciplines. Here, we propose an Anticipated Learning Machine (ALM) to achieve precise future-state predictions based on short-term but high-dimensional data. From non-linear dynamical systems theory, we show that ALM can transform recent correlation/spatial information of high-dimensional variables into future dynamical/temporal information of any target variable, thereby overcoming the small-sample problem and achieving multistep-ahead predictions. Since the training samples generated from high-dimensional data also include information of the unknown future values of the target variable, it is called anticipated learning. Extensive experiments on real-world data demonstrate significantly superior performances of ALM over all of the existing 12 methods. In contrast to traditional statistics-based machine learning, ALM is based on non-linear dynamics, thus opening a new way for dynamics-based machine learning.