How Do Trainees Rate the Impact of a Short Cognitive Behavioural Training Programme on their Knowledge and Skills?

Background: A strong evidence base for cognitive behavioural therapy has led to CBT models becoming available within mainstream mental health services. As the concept of stepped care develops, new less intensive mental health interventions such as guided self-help are emerging, delivered by staff not trained to the level of accredited Cognitive Behavioural Therapists. Aim: The aim of this study was to determine how mental health staff evaluated the usefulness of a short training programme in CBT concepts, models and techniques for routine clinical practice.
Method: A cohort of mental health staff (n = 102) completed pre- and posttraining self-report questionnaires measuring trainee perceptions of the impact of a short training programme on knowledge and skills. Mentors and managers were also asked to comment on perceived impact of the training.
Results: Trainees and mentors reported perceived gains in knowledge and skills posttraining and at 1-year follow-up. Managers and trainees reported perceived improvements in skills and practice. Conclusion: A short Cognitive Behavioural skills programme can enable mental health staff to integrate basic CB knowledge and skills into routine clinical practice.

Just what is narrative urgency?

This article takes as its main point of departure a body of empirical research on reading and text processing, and makes particular reference to the type of experiments conducted in Egidi and Gerrig (2006) and Rapp and Gerrig (2006). Broadly put, these experiments (i) explore the psychology of readers’ preferences for narrative outcomes, (ii) examine the way readers react to characters’ goals and actions, and (iii) investigate how readers tend to identify with characters’ goals the more ‘urgently’ those goals are narrated. The present article signals how stylistics can productively enrich such experimental work. Stylistics, it is argued, is well equipped to deal with subtle and nuanced variations in textual patterns without losing sight of the broader cognitive and discoursal positioning of readers in relation to these patterns. Making particular reference to what might constitute narrative ‘urgency’, the article develops a model which amalgamates different strands of contemporary research in narrative stylistics. This model advances and elaborates three key components: a Stylistic Profile, a Burlesque Block and a Kuleshov Monitor. Developing analyses of, and informal informant tests on, examples of both fiction and film, the article calls for a more rounded and sophisticated understanding of style in empirical research on subjects’ responses to patterns in narrative.

Authority dependence and judgments of utilitarian harm

Three studies tested the conditions under which people judge utilitarian harm to be authority dependent (i.e., whether its right or wrongness depends on the ruling of an authority). In Study 1, participants judged the right or wrongness of physical abuse when used as an interrogation method anticipated to yield useful information for preventing future terrorist attacks. The ruling of the military authority towards the harm was manipulated (prohibited vs. prescribed) and found to significantly influence judgments of the right or wrongness of inflicting harm. Study 2 established a boundary condition with regards to the influence of authority, which was eliminated when the utility of the harm was definitely obtained rather than forecasted. Finally, Study 3 replicated the findings of Studies 1-2 in a completely different context—an expert committee’s ruling about the harming of chimpanzees for biomedical research. These results are discussed as they inform ongoing debates regarding the role of authority in moderating judgments of complex and simple harm. 2013 Elsevier B.V. © All rights reserved.

CoWiSMoN: A Framework for Cognitive Wireless Sensor Mobile Network System for Emergency Rescue Management

One of the crucial aspects of disaster management of emergency situations is the early assessment of needs and damages. In most disaster situations, higher fatality and increased casualty results from lack of access to timely available emergency services rather than the initial disaster itself. This is usually caused by lack of access to the affected area in order to properly assess the situation for relevant and urgent measures. Cognitive wireless sensor networks provide an opportunity to overcome this situation especially through interconnection via mobile systems. This paper presents a cognitive wireless sensor mobile networks-based framework (CoWiSMoN), designed to offer real-time emergency services to victims and rescue personnel in event of disasters. Critical issues underlying the implementation of such a system are discussed and analyzed.

Learning Effective and Interpretable Semantic Models using Non-Negative Sparse Embedding

In this paper, we introduce an application of matrix factorization to produce corpus-derived, distributional
models of semantics that demonstrate cognitive plausibility. We find that word representations
learned by Non-Negative Sparse Embedding (NNSE), a variant of matrix factorization, are sparse,
effective, and highly interpretable. To the best of our knowledge, this is the first approach which
yields semantic representation of words satisfying these three desirable properties. Though extensive
experimental evaluations on multiple real-world tasks and datasets, we demonstrate the superiority
of semantic models learned by NNSE over other state-of-the-art baselines.

Discriminating Taxonomic Categories and Domains in Mental Simulations of Concepts of Varying Concreteness

Most studies of conceptual knowledge in the brain focus on a narrow range of concrete conceptual categories, rely on the researchers' intuitions about which object belongs to these categories, and assume a broadly taxonomic organization of knowledge. In this fMRI study, we focus on concepts with a variety of concreteness levels; we use a state of the art lexical resource (WordNet 3.1) as the source for a relatively large number of category distinctions and compare a taxonomic style of organization with a domain-based model (associating concepts with scenarios). Participants mentally simulated situations associated with concepts when cued by text stimuli. Using multivariate pattern analysis, we find evidence that all Taxonomic categories and Domains can be distinguished from fMRI data and also observe a clear concreteness effect: Tools and Locations can be reliably predicted for unseen participants, but less concrete categories (e.g., Attributes, Communications, Events, Social Roles) can only be reliably discriminated within participants. A second concreteness effect relates to the interaction of Domain and Taxonomic category membership: Domain (e.g., relation to Law vs. Music) can be better predicted for less concrete categories. We repeated the analysis within anatomical regions, observing discrimination between all/most categories in the left middle occipital and temporal gyri, and more specialized discrimination for concrete categories Tool and Location in the left precentral and fusiform gyri, respectively. Highly concrete/abstract Taxonomic categories and Domain were segregated in frontal regions. We conclude that both Taxonomic and Domain class distinctions are relevant for interpreting neural structuring of concrete and abstract concepts.