The associations between insecure attachment,rooming‐in,and postpartum depression: A 2 months’ longitudinal study

Postpartum depression (PPD) is the most common complication of childbearing, and recent studies have attempted to examine risk factors associated with it. The main study hypothesis was that a protective situational factor at a sensitive time period (full rooming‐in postpartum) would moderate the associations between insecure attachment dimensions and PPD. Three hundred twelve women, in either full or partial rooming‐in, participated in a longitudinal study at the maternity ward of a tertiary healthcare center. A Demographic questionnaire and the Experiences in Close Relationships Scale were administered at 1–4 days postpartum, and the Edinburgh Postnatal Depression scale at 2 months postpartum. PPD was significantly associated with both anxious and avoidant attachment dimensions, but not with rooming‐in conditions. In addition, women in partial rooming‐in showed a positive correlation between insecure attachment dimensions and PPD, whereas no such correlation was found for full rooming‐in women. A situational factor such as full rooming‐in, which occurs at a critical time point for the mother–infant relationship, can moderate the association between maternal avoidant or anxious attachment dimensions and the mother's PPD levels. Postpartum practices, such as rooming‐in, can be personalized and thus beneficial in moderating personal risk factors for PPD.     

Encoding Modal Logics in Logical Frameworks

We present and discuss various formalizations of Modal Logics in Logical Frameworks based on Type Theories. We consider both Hilbert- and Natural Deduction-style proof systems for representing both truth (local) and validity (global) consequence relations for various Modal Logics. We introduce several techniques for encoding the structural peculiarities of necessitation rules, in the typed -calculus metalanguage of the Logical Frameworks. These formalizations yield readily proof-editors for Modal Logics when implemented in Proof Development Environments, such as Coq or LEGO.     

Perception,nonconceptual content,and immunity to error through misidentification

The aim of this paper is twofold. First, we clarify the notion of immunity to error through misidentification with respect to the first-person pronoun (IEM). In particular, we set out to dispel the view that for a judgment to be IEM it must contain a token of a certain class of predicates. Rather, the importance of the IEM status of certain judgments is that it teaches us about privileged ways of coming to know about ourselves. We then turn to examine how perception, as a state with nonconceptual content, can give rise to judgments that are IEM. On one view, the ‘inheritance model’ of immunity, perception gives rise to such judgments because perception itself is IEM. We argue that this model is misguided, and, instead, suggest and elucidate an alternative view: perception gives rise to judgments that are IEM by virtue of containing implicitly self-related or self-concerning information.     

Development and initial validation of the Brief Adolescent Life Event Scale (BALES)

We report initial validity analyses of the Brief Adolescent Life Event Scale (BALES). This instrument addresses negative and positive events pertinent to the well being of adolescent boys and girls, and is designed for use in studies utilizing an extended research protocol. Selection of items was guided by emerging perspectives on positive psychology , action theory , and personality vulnerability , as well as by new developments in statistical modeling theory. The 36 items of the scale tap negative and positive events, each of which addresses interpersonal and achievement life domains. Using a large sample of early-adolescents ( N = 895), we confirmed the hypothesized structure that includes four domain-level latent factors (i.e., negative interpersonal events, negative achievement events, positive interpersonal events, positive achievement events), and two overarching factors (negative events and positive events). Indices of positive and negative events predicted adolescent depressive symptoms in expected ways, and positive events buffered the effect of negative events on depressive symptoms. These findings encourage an informed use of the BALES and highlight considerations involved in the development of brief measures of stress and coping processes.     

Does War Hurt? Effects of Media Exposure After Missile Attacks on Chronic Pain

This study focused on the effects of exposure to terrorist missile attacks on the physical and mental well being of chronic pain patients. In this prospective and longitudinal design, 55 chronic pain patients treated at a specialty pain clinic completed self-report questionnaires regarding their pain, depression and anxiety pre- and post a three week missile attack on the southern region of Israel. In addition, levels of direct and indirect exposure to the attacks were measured. Results of regression analyses showed that exposure to the attacks through the media predicted an increase in pain intensity and in the sensory component of pain during the pre-post war period, but did not predict depression, anxiety or the affective component of pain. These findings contribute to the understanding of the effects of terrorism on physical and emotional distress and identify chronic pain patients as a vulnerable population requiring special attention during terrorism-related stress.     

Psychoacoustic abilities as predictors of vocal emotion recognition

Prosodic attributes of speech, such as intonation, influence our ability to recognize, comprehend, and produce affect, as well as semantic and pragmatic meaning, in vocal utterances. The present study examines associations between auditory perceptual abilities and the perception of prosody, both pragmatic and affective. This association has not been previously examined. Ninety-seven participants (49 female and 48 male participants) with normal hearing thresholds took part in two experiments, involving both prosody recognition and psychoacoustic tasks. The prosody recognition tasks included a vocal emotion recognition task and a focus perception task requiring recognition of an accented word in a spoken sentence. The psychoacoustic tasks included a task requiring pitch discrimination and three tasks also requiring pitch direction (i.e., high/low, rising/falling, changing/steady pitch). Results demonstrate that psychoacoustic thresholds can predict 31% and 38% of affective and pragmatic prosody recognition scores, respectively. Psychoacoustic tasks requiring pitch direction recognition were the only significant predictors of prosody recognition scores. These findings contribute to a better understanding of the mechanisms underlying prosody recognition and may have an impact on the assessment and rehabilitation of individuals suffering from deficient prosodic perception.     

Learning a Generative Probabilistic Grammar of Experience: A Process‐Level Model of Language Acquisition

We introduce a set of biologically and computationally motivated design choices for modeling the learning of language, or of other types of sequential, hierarchically structured experience and behavior, and describe an implemented system that conforms to these choices and is capable of unsupervised learning from raw natural‐language corpora. Given a stream of linguistic input, our model incrementally learns a grammar that captures its statistical patterns, which can then be used to parse or generate new data. The grammar constructed in this manner takes the form of a directed weighted graph, whose nodes are recursively (hierarchically) defined patterns over the elements of the input stream. We evaluated the model in seventeen experiments, grouped into five studies, which examined, respectively, (a) the generative ability of grammar learned from a corpus of natural language, (b) the characteristics of the learned representation, (c) sequence segmentation and chunking, (d) artificial grammar learning, and (e) certain types of structure dependence. The model's performance largely vindicates our design choices, suggesting that progress in modeling language acquisition can be made on a broad front—ranging from issues of generativity to the replication of human experimental findings—by bringing biological and computational considerations, as well as lessons from prior efforts, to bear on the modeling approach.