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关键词： 铁岭方言   程度范畴   词法   句法   量级分布  

摘要： 程度范畴是一个重要的语义语法范畴。但目前学者对方言中程度范畴的研究较少,且不是对系统整体进行研究。由此,以铁岭方言的程度范畴为研究对象,从总体上对程度范畴的整体框架进行描写,建构程度范畴的层级系统,能够揭示铁岭方言程度范畴的表达形式以及形式和意义之间的关系。

关键词： 轻动词   涉用范畴   事件意义   非核心论元   非常规宾语  

摘要： 轻动词从格和标记计算的角度看,没有必要划分下位类型。但从引进论元的角度看,可以根据事件语义为轻动词划分为四种类型,如:致使范畴、达成范畴、活动范畴与状态范畴。为了凸显非核心论元,人们往往会引进涉用范畴,这种涉用范畴可以出现在完成句式、达成句式、活动句式与状态句式中,可归结为相应的事件义轻动词。四类事件义的轻动词都可以引进核心论元与非核心论元,这也使得非核心论元跟核心论元在句法行为上相同。

关键词： 共产党宣言   范畴   关系   历史作用   时代启示  

摘要： 《共产党宣言》内容丰富,是一篇集马克思主义哲学、政治经济学和科学社会主义于一体的马克思主义经典文献。尽管《共产党宣言》已经发表了170多年,但其蕴含的基本原理并未过时。自《共产党宣言》传入中国后,对中国革命和改革都产生了深远的历史影响。新时代,它将继续影响中国共产党推进21世纪马克思主义中国化理论建设,指引中国特色社会主义现代化建设事业蓬勃发展。

关键词： 范畴代现   范畴被代现者   相合   心理纽带   现时进行  

摘要： 胡塞尔认为普遍之物、关系、判断等范畴对象可以被直观到,并在《逻辑研究》第六研究中依靠范畴代现理论来解决范畴直观问题,即阐述范畴对象如何在意识中被构造出来。因此,在胡塞尔现象学中要获得普遍之物和真理有赖于范畴代现理论。然而,在《逻辑研究》出版20年后,胡塞尔宣称自己不再支持这一理论。本文即试图探讨范畴代现理论失败的原因:首先分析第六研究中的范畴代现理论的心理纽带理论、相合理论和现时进行理论三个分理论的失败原因,并指出这些失败原因带来的启示。我们要建构一种合理的范畴代现理论,就需要借鉴这些分析成果。

关键词： “逸”   审美范畴   唐代   独立  

摘要： "逸"作为审美范畴的独立地位是在唐代获得的。首先,唐代思想的开放促进了"逸"思想内核中"自由"精神的形成;其次,随着文人游历生活的繁荣,越来越多的自然物象之"逸"首次被大量地发现和欣赏;最后,"逸"在唐代评文论艺中被广泛使用,不仅多次被作为一种单独的美学风格提出来,同时,审美地位也被提升到了第二位。以上充分表明,"逸"作为审美范畴的地位在唐代真正完全独立出来了。

关键词： Semidualizing module   Auslander class   Excellent extension  

摘要： Let_(R)C_(S) be a semidualizing(R,S)-***_(R)C_(S) induces an equivalent between the Auslander class A_(C)(S)and the Bass class B_C(R).Let A and B be free normalizing extensions of R and S *** this paper,we prove that Hom S(_(B)B_(S),_(R)C_(S))is a semidualizing(A,B)-bimodule under some suitable conditions,and so Hom S(_(B)B_(S),_(R)C_(S))induces an equivalence between the Auslander class AHomS (_(B)B_(S),_(R)C_(S))(B). and the Bass class BHomS (BBS,RCS)(A) Furthermore,under a suitable condition on_(R)C_(S),we develop a generalized Morita theory for Auslander categories.

关键词： Multichannel retailing   Online grocery shopping   Category expansion   Marketing mix  

摘要： Some grocery product categories may be more successful than others in terms of stimulating consumers to increase their share of wallet (SoW) when they start buying through the online channel of a grocery chain. This study explores the circumstances in which online and multichannel marketing mix instruments determine the extent of category-level SoW expansion. To do so, the authors use U.K. household scanner panel data, covering online and offline purchases by 3,311 households in 59 categories of four multichannel retail chains. The results indicate that the effectiveness of online and multichannel marketing mix instruments for stimulating expansion is moderated by category characteristics, such that a selective approach to making decisions about the online price, online assortment breadth, online/offline assortment integration, and online national brand proliferation, tuned to account for category differences, can increase category-level SoW for the online-visited chain.(c) 2020 New York University. Published by Elsevier Inc. All rights reserved.

关键词： Outlier detection algorithms   Categorical matrix-object data   Data mining   Machine learning  

摘要： Outlier detection is a significant problem in data mining and machine learning which aims to discover objects in a data set that do not conform to well-defined notions of expected behavior. Generally, the input of the existing outlier detection algorithms is a collection of n objects and each object is described by a feature vector. However, in many real world applications, an object is not only described by one feature vector, but a number of feature vectors. In this paper, we define an object described by more than one feature vector as a matrix-object. Inspired by the concepts of cohesion and coupling in software engineering, we define the coupling of a matrix-object based on the average distance between it and other matrix-objects, and define its cohesion based on information entropy and mutual information. On this basis, the outlier factor of a matrix-object is given, and an outlier detection algorithm for categorical matrix-object data is proposed. The experimental results on real and synthetic data sets have shown that the proposed outlier detection algorithm can effectively detect outliers for the matrix-object data set compared with other algorithms. (c) 2021 Elsevier B.V. All rights reserved.

关键词： n-cluster tilting subcategory   Representation-directed algebra   Global dimension   Nakayama algebra   Primary   Secondary  

摘要： Given n <= d < infinity, we investigate the existence of algebras of global dimension d which admit an n-cluster tilting subcategory. We construct many such examples using representation-directed algebras. First, given two representation-directed algebras A and B, a projective A-module P and an injective B-module I satisfying certain conditions, we show how we can construct a new representation-directed algebra A in such a way that the representation theory of Lambda is completely described by the representation theories of A and B. Next we introduce n-fractured subcategories which generalize n-cluster tilting subcategories for representation-directed algebras. We then show how one can construct an n-cluster tilting subcategory for Lambda by using n-fractured subcategories of A and B. As an application of our construction, we show that if n is odd and d >= n then there exists an algebra admitting an n-cluster tilting subcategory and having global dimension d. We show the same result if n is even and d is odd or d >= 2n.