略论华严宗判教思想对唐君毅“心灵九境”理论建构的影响

本文认为,华严宗在理论的系统性、以境界、教义分高下、由对教理的评析而归判境界,以及深刻的融通性、广大的包容性和适时适机的创造性等方面,都对唐君毅"心灵九境"的现代判教产生了重大的影响.     

在规矩中自在——由“从心所欲,不逾距”看儒家自由观念

"从心所欲,不逾矩"是孔子进入化境的重要文献依据,后人往往依此句来讨论儒家的自由观念.在后儒的理解和诠释中,"从心所欲,不逾矩"实际上是要求人们将社会礼法内化成自己的信念,并以此涤除不合礼法的欲望,使自己的欲念全在礼法当中,从而感觉不到礼法与内心要求的冲突.这种"自由"是不去挑战世俗礼法的心灵自在,它蕴含着牺牲自己内心来迎合不合理的社会规矩之危险.当然,它也意味着,在现实生活中,个体难以脱离具体的历史情境追求无所顾忌的个人自由.     

Dynamic awareness of age-related losses predict concurrent and subsequent changes in daily inductive reasoning performance

To address gaps in previous research, we examined daily within-person associations between awareness of age-related change (AARC) and cognitive performance in older adults. One hundred twelve adults aged 60–90 participated in an online daily diary study for nine consecutive days. On Day 1, they reported demographic information. On Days 2–9, they reported daily AARC, subjective age, and stressors and completed three tasks that gauged memory (word recall), perceptual speed (number comparison), and reasoning (letter series), respectively, once per day. Unconditional multilevel models revealed significant within-person fluctuations in daily cognitive performance and daily AARC. Controlling for age, education, health, and daily stressors, daily awareness of age-related losses was negatively associated with letter series scores of the same day and changes from one day to the next. The effects held over and above AARC gains and subjective age. Dynamic, naturally occurring perceptions of ageing may influence within-person concurrent and subsequent changes in reasoning performance on a daily basis and point to a promising avenue of intervention.     

Chronic social comparison elicits depression- and anxiety-like behaviors and alterations in brain-derived neurotrophic factor expression in male rats

Animal Cognition - Social comparison is a fundamental human characteristic; however, long-term social comparison may induce psychological stress and can lead to depression and anxiety. Recent...     

Distributional Lattices as a Model for Discovering Syntactic Categories in Child-Directed Speech

Journal of Psycholinguistic Research - Distribution information plays an important role in word categorization. In this paper, we present a novel distributional model, distributional lattices to...     

信任论纲

<正>在任何形式的社会合作中,信任都是不可或缺的。中国古代文明将 "诚"和 "信"作为重要的德目,乃至作为做人和进入社会以及为政和构建社会秩序的根本准则来看待。在欧洲,自罗马帝国始,"遵守承诺和信守契约"被看作是公正的基础 ( 西塞罗,第 13 页) ,成为普遍的商业乃至司法原则,并形成悠久的文化传统。现代性制度在本质上与信任相关。20 世纪下半叶,全球化的发展和现代化的深化特别是 "风险社会"的出现,使信任问题极大地凸显出来,成为全球性问题和社会矛盾     

《周易参同契》的黄老养性术

<周易参同契>的一个显著特点是借助汉代易学构筑炼丹理论.孟乃昌推断:<周易参同契>东汉徐从事淳于叔通东汉末年魏伯阳三次成书.孟乃昌的推断证据充足.笔者推测,徐从事第一次成书时为一卷本,曾命书名为<龙虎上经>.淳于叔通第二次成书时扩为二卷本,大概没有变动书名.魏伯阳第三次成书时扩为三卷本,改书名为<参同契>.<周易参同契>包含内丹和外丹.魏伯阳讲述的黄老养性之术中包括成套的房中术内容.其继承了马王堆帛书房中术服气与性交结合在一起的作法和贵精原则,吸收了西汉阴道重节制的内容.黄老养性术标志着内丹术的形成     

化学致癌机制的系统科学方法思考

本文用系统科学方法分析了化学物致癌机制，化学致癌是一个长期的，多基因，多阶段，多病因过程已被公认，研究者们认为化学致癌系统由基因和非基因因素构成，在此系统中存在若干系统属性，如整体性，综合性，动态性等，医学研究者要在癌症病因，治疗和预防中取得的半功倍成效，就应该科学地运用致癌系统中的这些系统属性。     

A new goodness-of-fit measure for probit models: Surrogate R2

Probit models are used extensively for inferential purposes in the social sciences as discrete data are prevalent in a vast body of social studies. Among many accompanying model inference problems, a critical question remains unsettled: how to develop a goodness-of-fit measure that resembles the ordinary least square (OLS) R² used for linear models. Such a measure has long been sought to achieve ‘comparability’ of different empirical models across multiple samples addressing similar social questions. To this end, we propose a novel R² measure for probit models using the notion of surrogacy – simulating a continuous variable $S$ as a surrogate of the original discrete response (Liu & Zhang, Journal of the American Statistical Association, 113, 845 and 2018). The proposed R² is the proportion of the variance of the surrogate response explained by explanatory variables through a linear model, and we call it a surrogate R². This paper shows both theoretically and numerically that the surrogate R² approximates the OLS R² based on the latent continuous variable, preserves the interpretation of explained variation, and maintains monotonicity between nested models. As no other pseudo R², McKelvey and Zavoina's and McFadden's included, can meet all the three criteria simultaneously, our measure fills this crucial void in probit model inference.