BackgroundLeft-behind children in China have aroused widespread concern in society and the academic field because they have a high risk of psychological problems. For left-behind children, depression is the most serious problem. Bullying victimization has been evidenced as one of the most common causes of children’s depression. However, less is known about its longitudinal association and the process for how bullying victimization influences depression among left-behind children. Thus, the presentation aims to explore the mechanisms underlying by considering the roles of (...) left-behind children’s negative thoughts and self-compassion.MethodsThe 3-wave longitudinal data were collected from a sample of 605 aged 8–11 from central China. We used the Olweus bully and victimization questionnaire, the children’s automatic thoughts scale, the depression scale, and the self-compassion scale.ResultsBullying victimization positively predicted the depression level of left-behind children. Negative thoughts and self-compassion mediate the relationship between bullying victimization and depression. In the mechanism of bullying victimization on depression exists gender differences among left-behind children.ConclusionThe present study suggested the association between bullying victimization and left-behind children’s depression and revealed the internal mechanism of negative thoughts and self-compassion. These findings provide a new perspective for left-behind children’s mental health education and intervention. (shrink)

On Tarkasaṅgraha, a treatise on logic as defined in the Nyāya and Vaiśeṣika systems of Hindu philosophy.

Treatises, with Arthadyotanikā auto commentary, of the Dvaita and Advaita school in Hindu philosophy.

Network embedding aims to learn the low-dimensional representations of nodes in networks. It preserves the structure and internal attributes of the networks while representing nodes as low-dimensional dense real-valued vectors. These vectors are used as inputs of machine learning algorithms for network analysis tasks such as node clustering, classification, link prediction, and network visualization. The network embedding algorithms, which considered the community structure, impose a higher level of constraint on the similarity of nodes, and they make the learned node embedding (...) results more discriminative. However, the existing network representation learning algorithms are mostly unsupervised models; the pairwise constraint information, which represents community membership, is not effectively utilized to obtain node embedding results that are more consistent with prior knowledge. This paper proposes a semisupervised modularized nonnegative matrix factorization model, SMNMF, while preserving the community structure for network embedding; the pairwise constraints information are effectively fused with the adjacency matrix and node similarity matrix of the network so that the node representations learned by the model are more interpretable. Experimental results on eight real network datasets show that, comparing with the representative network embedding methods, the node representations learned after incorporating the pairwise constraints can obtain higher accuracy in node clustering task and the results of link prediction, and network visualization tasks indicate that the semisupervised model SMNMF is more discriminative than unsupervised ones. (shrink)

During the COVID-19 pandemic, online education has become an important approach to learning in the information era and an important research topic in the field of educational technology as well as that of education in general. Teacher–student interaction in online education is an important factor affecting students’ learning performance. This study employed a questionnaire survey to explore the influence of teacher–student interaction on learning effects in online education as well as the mediating role of psychological atmosphere and learning engagement. The (...) study involved 398 college students studying at Chinese universities as the research object. Participants filled out a self-report questionnaire. The study found that the level of teacher–student interaction positively affected students’ learning effects. The psychological atmosphere mediated the positive effect of the level of teacher–student interaction on learning effects with mediating effect value of 0.1248. Learning engagement mediated the positive effect of teacher–student interaction on learning effects with a mediating effect value of 0.1539. The psychological atmosphere and learning engagement play a chain-mediating role in the mechanism of teacher–student interaction affecting students’ learning effects; that is, teacher–student interaction promotes students’ learning engagement by creating a good psychological atmosphere, which, in turn, influences learning effects. The mediating effect value was 0.0403. The results indicate that teacher–student interaction not only directly affects students’ learning effects but also influences students’ learning effects through the mediating effect of the psychological atmosphere and learning engagement. (shrink)

王充哲学思想建立在广评诸子的基础之上，通过对先秦诸子思想的继承与发展，形成一个既不属于儒家又不属于道家的独特的思想体系，抑或说继承了儒、道又超越了儒、道。本书以王充对先秦儒、道思想的评介为切入点，有别 于学界常用的从史学、经学、文献学等维度研究王充思想，而是注重从哲学的角度考察、梳理王充对先秦儒、道思想的理解与评判、继承与发展。.

No Matter What the original meaning of "Ru" was, looking at it from the perspective of the history of philosophy, the image of "Ru" as portrayed by other schools in the Warring States period was infused with the characteristics of Confucianism of that time. The self-understanding of Warring States Confucians expressed by their employment of the character "Ru" clearly displayed Ru's character as well as the main points of the Ru school, namely Confucianism. In particular, the words and thoughts of (...) Xunzi, the great Confucian master, on "Ru", epitomize Pre-Qin Confucian's understanding and expectations of themselves, and also reflect the Confucian new pursuit in facing the age of the uniflcation of Qin. /// 不管"儒"字在宇源上的原始意义如何，从学术史的观点来看，战国时代的 其他学派对"儒"的思想刻画，己经鲜明地呈现出儒家的思想特质:而战国儒学在 运用"儒"字上所表达的自我理解，更突出显现了"何为儒之人格，何为儒家的学 说宗旨"在当时的通行理解。尤其是，战国末期的儒学大师苟子对"儒"的理解， 作为战国时代评论各家"儒"的总结性代表，集中体现了先秦儒家的自我理解和自 我期许，同时也反映了儒家因应秦的统4 的时代即将到来的新的追求。. (shrink)

Using the Lascar inequalities, we show that any finite rank δ-closed subset of a quasiprojective variety is definably isomorphic to an affine δ-closed set. Moreover, we show that if X is a finite rank subset of the projective space P n and a is a generic point of P n , then the projection from a is injective on X. Finally we prove that if RM = RC in DCF 0 , then RM = RU.

本书以人物、机构和刊物为抓手，对16-18世纪儒学西传欧洲进行了全面的梳理和总结，对中国古代文化经典外译的数量和时段做了初步的划分，也对我国中学西传研究滞后的原因做了分析。.

本书从周易的哲学突破,太极本体论,阴阳生机论,八卦时空与万物一体,中和价值论,象数与自然,时命与变通,心学与易学,大生命易学的圆成诸方面诠释周易生命哲学要义.逻辑构架,以周易哲学的命题,范畴为"经", 以相关易学史传注为"纬",经纬交织,探赜索隐,力求将古奥玄妙,扑朔迷离的周易哲学勾勒成一相对完整的逻辑体系;诠释方法,将文本解读与语境转化相结合,综合并扬弃以往儒家,道家易学中以气,以图,以数,以理, 以心释易等解释体例,让古代智慧与现代生活"对话",激活大易之"道"中潜在的后现代生命意识,实现周易研究范式的创新.

Ben shu yi dong zhong shu zi ran guan wei shi jiao,Chan shu le dong zhong shu de"tian ren gan ying"lun,"wu lei lei bi"he"xun ming de li"de fang fa lun,Yi tian wei yuan ben de yu zhou lun,"bian er you chang"de bian zheng tian dao guan,Yi ji dong zhong shu you guan yuan qi,Yin yang,Wu xing de zi ran ke xue si xiang,Zai zong ti shang ken ding le dong zhong shu zai jie shi he ren shi zi ran gui (...) lü shang de jin bu xing,Ken ding le dong zhong shu dui zhong guo gu dai zi ran ke xue de gong xian,Bing pi ping le yi wang dui dong zhong shu bu gong zheng di ping pan.Ben shu tong shi ye zhi chu le dong zhong shu de mou xie si xiang dui hou shi de fu mian ying xiang. (shrink)

在宋儒學脈自二程至黃幹一系師承的啟發下，本書稿連續性地縱觀明儒學脈的師承進路，延著吳溥、楊溥—吳康齋—陳白沙—湛甘泉—唐一庵—許敬庵—劉念台不間斷的時間線索，圍繞明代諸儒的核心範疇與核心概念“至善性體 ”展開，試圖在陽明心學于明朝大瀾、大明與大傳播的框架外，找尋明儒學脈的新線索，發現有明一朝中國學術內在邏輯成長的新視野。.

本文运用文化哲学的理论和方法,通过对儒家经典文本《论语》、《中庸》、《孟子》、《荀子》、《易传》以及近年出土的《郭店楚墓竹简》儒家简等的理论梳理,认为,在文化哲理论的观照下,儒学的文化哲学潜质开始彰显 ,表现为一种文化哲学形态。.

Juan yi. Quan qiu hua zhong de Zhongguo gu dai zhe li -- juan er. Ru jia zai lin de yun yi yu dao lu.

本書系統總結了2016年順義區社會建設成果，在區級層面出版社會建設藍皮書，是一個創新。本書的出版，將有助於系統梳理順義區社會建設的經驗，進一步推進全區社會治理體系建設，促進全區社會治理能力現代化，更好 地服務於北京市城市戰略定位、優化提升首都核心功能，助力構建首都有效的超大城市治理體系，加快建設國際一流的和諧宜居之都進程。.