Role of exteroceptive background context in taste-aversion conditioning and extinction

In two experiments, saccharin (CS) and lithium chloride (US) were paired in a context consisting of specific visual, auditory, tactual, and olfactory cues. The saccharin aversion was then extinguished in a context free from conditioning-context cues. Later, saccharin preference tests were given in the presence and absence of these cues. The results indicated that the background cues of the conditioning trial controlled the amount of saccharin drunk on extinction trials, and, furthermore, that extinction of the taste aversion was context specific; i.e., groups given extinction trials in a different (from conditioning) context retained their saccharin aversion in the conditioning context only. The results indicate an important role played by the exteroceptive context in taste-aversion conditioning.     

不走寻常路，理科生PK文科类重点大学

镜头闪回 想去北京上大学,而且一定要上一所重点大学,一直就是我的心愿。为什么呢？原因其实很简单：北京是首都嘛,从小就在课本和电视里了解了很多。后来在一个假期里,爸爸还带我去玩了一趟。什么颐和园、故宫博物馆,北京就是北京,那才叫一个恢宏大气。而且现在考到北京去念书,正好能赶上2008年奥运会。这个机会可是千载难逢啊!     

陌生的父亲

这位海军陆战队员赶到医院时,期盼儿子归来的垂危老人已神智不清。为了给予老人最温暖的临终关怀,海军陆战队员寸步不离地陪伴着老人度过了漫长而安详的一夜。可是,送走老人后他却问护士:"那个男人是谁?"     

Incorporating Uncertainty Into Parallel Analysis for Choosing the Number of Factors via Bayesian Methods

A number of psychometricians have suggested that parallel analysis (PA) tends to yield more accurate results in determining the number of factors in comparison with other statistical methods. Nevertheless, all too often PA can suggest an incorrect number of factors, particularly in statistically unfavorable conditions (e.g., small sample sizes and low factor loadings). Because of this, researchers have recommended using multiple methods to make judgments about the number of factors to extract. Implicit in this recommendation is that, when the number of factors is chosen based on PA, uncertainty nevertheless exists. We propose a Bayesian parallel analysis (B-PA) method to incorporate the uncertainty with decisions about the number of factors. B-PA yields a probability distribution for the various possible numbers of factors. We implement and compare B-PA with a frequentist approach, revised parallel analysis (R-PA), in the contexts of real and simulated data. Results show that B-PA provides relevant information regarding the uncertainty in determining the number of factors, particularly under conditions with small sample sizes, low factor loadings, and less distinguishable factors. Even if the indicated number of factors with the highest probability is incorrect, B-PA can show a sizable probability of retaining the correct number of factors. Interestingly, when the mode of the distribution of the probabilities associated with different numbers of factors was treated as the number of factors to retain, B-PA was somewhat more accurate than R-PA in a majority of the conditions.     

Gender and IT in the Household: Evolving Patterns of Internet Use in the United States

Information technology (IT)—computers and related technologies—is the latest technology to enter the household. Like other technologies, gender is a major factor in its adoption and use as well as its perceived usefulness. Unlike prior household technologies, the computer's entry into the household has followed a different pattern. Early statistics revealed a vast gender divide, with men using computers and related technologies much more in the household. More recent statistics show a narrowing of the divide, perhaps even a reversal, particularly in the United States, with women outnumbering men in the access to and use of the Internet. In this article, the role of gender and its relationship with Internet use in the home are reviewed. In addition to overall adoption and access, the review focuses on specific Internet applications and examines the factors that contribute to gender differences in adoption and use of computers and Internet applications in the home.     

Systemic rejection: political pressures seen from the science system

The emphasis on competitiveness and the knowledge-based economy in European policymaking has resulted in a heightened focus on monitoring and steering the science system, particularly through metric-based instruments. Policymakers’ general aims of fostering excellent research and breakthroughs are shared by researchers as well; however, below the surface is a paradox that is rarely discussed. The political system and the science system understand and pursue these concepts and objectives differently. Through two case studies on high-performing university-based research environments in Denmark and Sweden, this article uncovers the ways in which highly successful researchers often behave in ways that run counter to policy steering attempts. They do this by shielding themselves and their research group from steering pressures originating in the political system. Using Luhmann’s systems theory, the cases demonstrate why the relationship between the science system and the political system needs to be understood as a horizontal rather than a vertical relationship, and using concepts from organizational theory, provides a model and terminology for identifying and analyzing the types of mechanisms and strategic responses that the science system uses to shield itself from political steering pressures.