Sleep and Attachment in Preterm Infants

Infants born preterm are at elevated risk for socioemotional difficulties; however, factors contributing to this risk are largely understudied. Within the present study, we explored infant sleep as a biosocial factor that may play a role in infant socioemotional development. Within a prospective longitudinal design, we examined parent‐reported sleep patterns and observed parenting quality as predictors of infant–mother attachment in 171 infants born preterm. Using structural equation modeling, we examined main effect and moderator models linking infant sleep patterns and parenting with attachment security. Sleep patterns characterized by more daytime sleep and positive/responsive parenting predicted infant attachment security. Parent‐reported nighttime sleep patterns were unrelated to attachment in this sample of infants born preterm. These results indicate that daytime sleep and parenting quality may be important for emerging attachment relationships in infants born preterm.     

Report of the AMA Council on Ethical and Judicial Affairs: professionalism in the use of social media

Although many physicians have been using the internet for both clinical and social purposes for years, recently concerns have been raised regarding blurred boundaries of the profession as a whole. In both the news media and medical literature, physicians have noted there are unanswered questions in these areas, and that professional self-regulation is needed. This report discusses the ethical implications of physicians' nonclinical use of the internet, including the use of social networking sites, blogs, and other means to post content online. It does not address the clinical use of the internet, such as telemedicine, e-prescribing, online clinical consultations, health-related websites, use of electronic media for clinical collaboration, and e-mailing patients (some of which are already covered in the AMA's Code of Medical Ethics).     

Word associations contribute to machine learning in automatic scoring of degree of emotional tones in dream reports

Scientific study of dreams requires the most objective methods to reliably analyze dream content. In this context, artificial intelligence should prove useful for an automatic and non subjective scoring technique. Past research has utilized word search and emotional affiliation methods, to model and automatically match human judges’ scoring of dream report’s negative emotional tone. The current study added word associations to improve the model’s accuracy. Word associations were established using words’ frequency of co-occurrence with their defining words as found in a dictionary and an encyclopedia. It was hypothesized that this addition would facilitate the machine learning model and improve its predictability beyond those of previous models. With a sample of 458 dreams, this model demonstrated an improvement in accuracy from 59% to 63% (kappa = .485) on the negative emotional tone scale, and for the first time reached an accuracy of 77% (kappa = .520) on the positive scale.     

Do we perceive a flattened world on the monitor screen?

The current model of three-dimensional perception hypothesizes that the brain integrates the depth cues in a statistically optimal fashion through a weighted linear combination with weights proportional to the reliabilities obtained for each cue in isolation (Landy, Maloney, Johnston, & Young, 1995). Even though many investigations support such theoretical framework, some recent empirical findings are at odds with this view (e.g., Domini, Caudek, & Tassinari, 2006). Failures of linear cue integration have been attributed to cue-conflict and to unmodelled cues to flatness present in computer-generated displays. We describe two cue-combination experiments designed to test the integration of stereo and motion cues, in the presence of consistent or conflicting blur and accommodation information (i.e., when flatness cues are either absent, with physical stimuli, or present, with computer-generated displays). In both conditions, we replicated the results of Domini et al. (2006): The amount of perceived depth increased as more cues were available, also producing an over-estimation of depth in some conditions. These results can be explained by the Intrinsic Constraint model, but not by linear cue combination.     

Priming against your will: How accessible alternatives affect goal pursuit

Four studies examined how diverse aspects of goal pursuit are influenced by the accessibility of alternative goals. It was consistently found that such an accessibility often affects the resources allocated to a focal goal, influencing commitment, progress, and the development of effective means, as well as one's emotional reponses to positive and negative feedback about one's striving efforts. Moreover, the direction of these influences was found to depend on how the alternative goals relate to the focal pursuit. Alternatives unrelated to the focal goal pull resources away from it, whereas alternatives facilitatively related to a focal goal draw resources toward it.     

Introduction to The Philosopher as Public Intellectual

This introductory essay offers a general survey of some of the conceptual and normative issues that arise with respect to the philosopher as a public intellectual, arguing that philosophers should be public intellectuals. It also briefly introduces the themes of the essays that follow.