审视马克思的工作室:马恩全集中的《资本论》及前期准备工作

本文以《资本论》及其手稿为例介绍了MEGA2即历史上第二次启动的马恩全集历史考证版的编纂工作和特征。作者指出,马克思和恩格斯之间的差异,以及马克思研究工作方式的开放性,是MEGA2这一历史考证版力图展现的两个重点,这一全集版本将开启通向马克思与恩格斯及其浩瀚著作的新入口。文章主体分三个部分,第一部分以《资本论》及其手稿的写作过程为例考察了马克思的工作方式,即他在研究写作中体现出的作为修改者和收集者的特征;第二部分以MEGA2中《资本论》及其手稿的编纂为例,介绍了这一历史考证版是如何展现马克思的工作方式,以及作者马克思和编者恩格斯之间差异的;第三部分介绍了目前网络空间里MEGA2的发布情况。     

Conceptual preference for thematic or taxonomic relations: A nonmonotonic age trend from preschool to old age

Two experiments examined the development of conceptual preference for either thematic (functional) or taxonomic relationships in a match-to sample task. In Experiment 1 twenty subjects from each of five age groups—preschool to old age—completed a method of triads preference test where they were forced to choose a thematic or taxonomic match. Young and old individuals preferred the thematic parings while school age and college adults preferred the taxonomic matches. Although the Age × Preference relation was pronounced, the majority of subjects at all ages could provide adequate justification of both the preferred and nonpreferred relationship. In addition, kindergarten subjects in Experiment 2 could readily be trained to respond on the basis of the nonpreferred mode. These data suggest that the pervasive shift in conceptual responding from syntagmatic to paradigmatic, thematic to taxonomic, etc., represents a change in preference rather than a shift to a fundamentally new way of organizing knowledge.     

B2C电子商务中消费者的风险来源及其影响

研究目的是通过考察B2C(Business to Consumer)电子商务中消费者知觉到的风险来源来验证电子商务交易中的虚实界面假设。通过访谈法和问卷法调查了337名被试,探讨了B2C电子商务中消费者认知到的风险来源结构,以及这些风险来源对消费者认知风险的影响。结果表明：消费者在B2C电子商务中的认知风险一部分来源于虚实界面     

Adverse caregiving in early life: The trauma and deprivation distinction in young children

Knowledge and understanding about the impact of cumulative adverse experiences on the health and wellbeing of children, adolescents, and adults has rapidly expanded over the past 30 years. Despite the invaluable attention and support this proliferation has drawn to the importance of early childhood experiences, we believe that it is time to move beyond broad indices of risk and toward more specific and individualized understanding of how risk exposures are linked to clinical outcomes in young children. Within infant and early childhood mental health, there is a need for greater specificity in linking adverse caregiving experiences in early life to psychopathology in children. We highlight a framework distinguishing experiences of trauma from experiences of deprivation and use the examples of posttraumatic stress disorder and reactive attachment disorder to demonstrate how greater specificity in our understanding of early adverse caregiving can lead to more accurate and targeted diagnosis and treatment for young children. Both researchers and clinicians benefit from an approach to gain a greater appreciation of the links between specific types of experiences and outcomes in the children that we serve.     

The effectiveness of cognitive behavioral group intervention on depression and anxiety in patients with type II diabetes

IntroductionDepression and anxiety are important risk factors for diabetes and high blood pressure.ObjectiveThis study investigated the effectiveness of the Cognitive-Behavioral Group Intervention for Diabetes Disease (CBGI-DD) in reducing depression and anxiety in female patients with type 2 diabetes (T2D).MethodThe CBGI-DD program includes 12 weekly 2.5 h sessions, spread weekly over the course of 3 months. The present study was semi-experimental and controlled, with assessments at pre-test and post-test. It included diagnostic criteria for the diagnosis of T2D in the patient's medical records by a diabetes specialist. Participants (62 female volunteers aged 25 to 75 years) were randomly allocated to a control or test group. Both groups responded to the Second edition of the Beck Depression Inventory (BDI-II) and the Beck Anxiety Inventory (BAI) before (pretest) and immediately after the intervention (posttest). Participants in the test group received CBGI-DD (from April up to the end of September 2018) at Mashhad Diabetes Center. The control group received only medical care during this period.ResultsAn analysis of covariance showed that compared to the control group, the test group had a significant reduction in anxiety and depression from pre-test to post-test (p < 0.05). It was compared post-test scores between the two groups, controlling for pre-test scores.ConclusionThe CBGI-DD program seems to be effective in reducing anxiety and depression in female patients with T2D. However, further research exploring the potential for long-term improvements in depression and anxiety is needed.     

Who is my Jung? Memories,Reflections, Prospects

The author describes his personal and professional journey in relation to the subject of the AJA 40^th anniversary conference, ‘Who is my Jung?’ The first part of the paper covers his early life and his attempt to bring together two opposing parts within him: valuation of a scientific approach, and an interest in the inner world, dreams and the paranormal. Discussion of his professional life follows, including his relationship with Gerhard Adler, past problems and splits within the Jungian community and the author's attempts to heal these. The value of both remembering and forgetting is questioned. This leads onto ideas that bring value and meaning to his work and life, and which bridge the inner divisions he felt in his early life: notably Jung's focus on applying scientific theory to the mystery of the psyche, his relational attitude (exemplified by the dialectical process and his interest in countertransference) and his theory of synchronicity. Recent discussion in Jungian writing has questioned the nature of synchronistic experiences and explored how they may emerge naturally from complex systems. The paper ends the author's continuing journey with two personal vignettes describing how meaning may emerge from the unconscious.     

Multi‐set factor analysis by means of Parafac2

We consider multi‐set data consisting of observations, k = 1,…, K (e.g., subject scores), on J variables in K different samples. We introduce a factor model for the J × J covariance matrices , k = 1,…, K, where the common part is modelled by Parafac2 and the unique variances , k = 1,…, K, are diagonal. The Parafac2 model implies a common loadings matrix that is rescaled for each k, and a common factor correlation matrix. We estimate the unique variances by minimum rank factor analysis on for each k. The factors can be chosen orthogonal or oblique. We present a novel algorithm to estimate the Parafac2 part and demonstrate its performance in a simulation study. Also, we fit our model to a data set in the literature. Our model is easy to estimate and interpret. The unique variances, the factor correlation matrix and the communalities are guaranteed to be proper, and a percentage of explained common variance can be computed for each k. Also, the Parafac2 part is rotationally unique under mild conditions.