Off the beaten track: Freud,sound and music.Statement of a problem and some historico‐critical notes1

The authors note that the element of sound and music has no place in the model of mental functioning bequeathed to us by Freud, which is dominated by the visual and the representational. They consider the reasons for this exclusion and its consequences, and ask whether the simple biographical explanation offered by Freud himself is acceptable. This contribution reconstructs the historical and cultural background to that exclusion, cites some relevant emblematic passages, and discusses Freud’s position on music and on the aesthetic experience in general. Particular attention is devoted to the relationship between Freud and Lipps, which is important both for the originality of Lipps’s thinking in the turn‐of‐the‐century debate and for his ideas on the musical aspects of the foundations of psychic life, at which Freud ‘stopped’, as he himself wrote. Moreover, the shade of Lipps accompanied Freud throughout his scientific career from 1898 to 1938. Like all foundations, that of psychoanalysis was shaped by a system of inclusions and exclusions. The exclusion of the element of sound and music is understandable in view of the cultural background to the development of the concepts of the representational unconscious and infantile sexuality. While the consequences have been far reaching, the knowledge accumulated since that exclusion enables us to resume, albeit on a different basis, the composition of the ‘unfinished symphony’ of the relationship between psychoanalysis and music.     

有性Penna模型:进化心理学的新工具

进化心理学家以进化论为基础,使用了许多不同的方法来研究人类的心灵。这些方法都有共同的缺陷,即无法直接对提出的假设进行验证,对复杂的系统进行研究难度很大,计算机模拟的方法可在一定程度上修补该问题。有性Penna模型能反映有性生殖种群的进化特点,能反映环境对生物进化的影响,通过该模型来模拟人类进化历程,则可以检验某一心理机制是否是适应的,它是研究生物进化的有力工具。本文在综述已有研究成果的基础上提出用有性Penna模型对进化心理学关于进化轨迹的假设进行验证的构想,并在此基础之上提出了用该模型进行研究的基本框架。     

让自适应测验更知人善选——基于推荐系统的选题策略

基于推荐系统中协同过滤推荐的思想, 提出两种可以利用已有答题者数据的CAT选题策略：直接基于答题者推荐(DEBR)和间接基于答题者推荐(IEBR)。通过两个模拟研究, 在不同题库和不同长度的测验中, 比较了两种推荐选题策略与两种传统选题策略(FMI和BAS)在测量精度和对题目曝光率控制上的表现, 以及影响推荐选题策略表现的因素。结果发现：两种推荐选题策略对题目曝光率的控制优于两种传统选题策略, 测量精度不亚于BAS方法, 其中DEBR侧重选题精度, IEBR对题目曝光率控制最好。已有答题者数据的特点和质量是影响推荐选题策略表现的主要因素。     

具身模拟在汉语肢体动作动词理解中的作用

通过3个实验, 考察具身模拟在汉语肢体动作动词理解中的作用。实验1考察在整字启动下具身模拟对运动通道中箭头方向判断的影响, 发现理解肢体动作动词在运动通道中存在着动作-汉字相容效应, 汉字的具身方向与箭头方向一致促进被试对箭头方向的判断。实验2考察在整字启动下具身经验对视觉通道中字母位置判断的影响, 发现理解肢体动作动词在视觉通道中存在着动作-汉字相容效应, 汉字的具身方位与字母方位一致促进对字母方位的识别。实验3采用义符启动范式考察义符与整字的具身模拟, 发现理解汉语肢体动作动词不仅在整字层次上存在着具身模拟, 在部件层次上也存在着具身模拟。义符在汉字加工中期被激活了, 并且持续到加工晚期。整个研究表明, 汉语肢体动作动词理解是一个跨通道的具身模拟过程, 具身模拟在汉语肢体动作动词的理解中起着非常重要的作用。     

抗感染治疗的今天和明天

抗菌药物治疗是临床医学界普遍关切的问题。滥用抗生素的问题引起社会和政府的重视。但解决这问题需要重视调查研究,充分应用科学研究成果,制定科学合理的政策和规定。本文还从医生的角度,对经验用药、社区获得性肺炎治疗中的几个问题,介绍了国外的做法,对应用药代动力学和最低抑菌浓度结合的研究方法,包括Monte Carlo模拟的实验和临床研究,以及防突变浓度（MPC）和突变选择窗（MEw）的概念作了介绍。     

REVIEW OF THE BOOK SNIFFY THE VIRTUAL RAT PRO VERSION 2.0

Sniffy the Virtual Rat Pro Version 2.0 is the most recent update to the Sniffy the Rat program modules. It has an extensive set of simulations related to Pavlovian and operant conditioning. Many of the standard conditioning paradigms and phenomena are contained within this program. Pavlovian effects such as blocking, overshadowing, and stimulus competition are demonstrated in the data output. Operant manipulations allow shaping the behavior of the virtual rat, observing cumulative records of interval and ratio schedules, as well as conducting operant discrimination procedures. In both Pavlovian and operant paradigms, one can generate histograms that predict the degree to which various stimuli control the virtual rat's behavior. On‐screen presentations may keep most users interested, but working with the generated data files sometimes can prove difficult. Overall, this program has a strong potential for facilitating the instruction in undergraduate conditioning courses, serving as an addendum to traditional undergraduate conditioning laboratories and as a supplement to the use of live animals.     

Analysis of distractor difficulty in multiple-choice items

Two psychometric models are presented for evaluating the difficulty of the distractors in multiple-choice items. They are based on the criterion of rising distractor selection ratios, which facilitates interpretation of the subject and item parameters. Statistical inferential tools are developed in a Bayesian framework: modal a posteriori estimation by application of an EM algorithm and model evaluation by monitoring posterior predictive replications of the data matrix. An educational example with real data is included to exemplify the application of the models and compare them with the nominal categories model.This research was supported by the DGI grant BSO2002-01485.I would like to thank Eric Maris and Vicente Ponsoda for their advice, Juan Botella for providing the data for the empirical application, and three anonymous reviewers for their comments that were essential for improving the quality of the paper.     

Enhancing job-site training of supported workers with autism: a reemphasis on simulation

Currently recommended practice in supported work emphasizes training job skills to workers with severe disabilities while on the job. Early behavioral research indicated that skills needed in natural environments could also be trained in simulated settings. We compared job-site plus simulation training for teaching job skills to supported workers with autism to provision of training exclusively on the job. Job-site training occurred in a small publishing company during the regular work routine, and simulation training occurred in an adult education site for people with severe disabilities. Two pairs of workers received training on two job skills; one skill was trained at the job site and the other was trained using job-site plus simulation training. Results indicated that for 3 of the 4 comparisons, job-site plus simulation training resulted in a higher level of skill or more rapid skill acquisition than did job-site-only training. Results suggested that job-site training, the assumed best practice for teaching vocational skills, is likely to be more effective if supplemented with simulation training. Directions for future research include expanding applications of behavioral technologies to other aspects of the current support paradigm.     

Modeling recognition memory using the similarity structure of natural input

The natural input memory (NIM) model is a new model for recognition memory that operates on natural visual input. A biologically informed perceptual preprocessing method takes local samples (eye fixations) from a natural image and translates these into a feature-vector representation. During recognition, the model compares incoming preprocessed natural input to stored representations. By complementing the recognition memory process with a perceptual front end, the NIM model is able to make predictions about memorability based directly on individual natural stimuli. We demonstrate that the NIM model is able to simulate experimentally obtained similarity ratings and recognition memory for individual stimuli (i.e., face images).     

Infiltration behaviour of water in a carbon nanotube under external pressure

The wetting behaviour and associated pressure effect of water in single-walled carbon nanotubes (SWCNTs) are investigated through molecular dynamics (MD) simulations. It is found that water molecules can enter SWCNTs via surface diffusion, and the effective infiltration rate increases with pressure. The effect of pressure on infiltration rate is highly non-linear, exhibiting characteristics of both hydrophilic and hydrophobic surfaces. There exists a nominal infiltration pressure that is dependent on the SWCNT size, above which the water flux is significantly increased.