The TCCS offers markers that may help researchers better understand the therapeutic collaboration on a moment-to-moment basis and may help therapists better regulate the relationship.

Elaborating innovative moments (IMs) that are new ways of thinking, feeling, behaving and relating, in the therapeutic dialogue, may facilitate change. IMs that are more predictive of amelioration of symptoms in CBT are the ones focused on contrasts between former problematic patterns and new adjusted ones; and the ones in which the clients elaborate on processes of change. Therapists may integrate these kinds of questions (centred on contrasts and centred on what allowed change from the client's perspective), in the usual CBT techniques. When elaborating these IMs successfully, therapists may expect an improvement in symptoms in the next session of psychotherapy.

This suggests that in such ambivalence episodes the therapist did not match the client's developmental level, and by working outside the TZPD unintentionally contributed to the maintaining the client's ambivalence.

Fully Convolutional Networks have been achieving remarkable results in image semantic segmentation, while being efficient. Such efficiency results from the capability of segmenting several voxels in a single forward pass. So, there is a direct spatial correspondence between a unit in a feature map and the voxel in the same location. In a convolutional layer, the kernel spans over all channels and extracts information from them. We observe that linear recombination of feature maps by increasing the number of channels followed by compression may enhance their discriminative power. Moreover, not all feature maps have the same relevance for the classes being predicted. In order to learn the inter-channel relationships and recalibrate the channels to suppress the less relevant ones, Squeeze and Excitation blocks were proposed in the context of image classification with Convolutional Neural Networks. However, this is not well adapted for segmentation with Fully Convolutional Networks since they segment several objects simultaneously, hence a feature map may contain relevant information only in some locations. In this paper, we propose recombination of features and a spatially adaptive recalibration block that is adapted for semantic segmentation with Fully Convolutional Networks -the SegSE block. Feature maps are recalibrated by considering the cross-channel information together with spatial relevance. Experimental results indicate that Recombination and Recalibration improve the results of a competitive baseline, and generalize across three different problems: brain tumor segmentation, stroke penumbra estimation, and ischemic stroke lesion outcome prediction. The obtained results are competitive or outperform the state of the art in the three applications.

Ambivalence in the process of psychotherapeutic change should be addressed and resolved if we are to avoid psychotherapeutic failure and promote sustained change. In this context, ambivalence can be defined as the cyclical conflictual relation between two opposed positions of the self: one expressed as an innovation, and a subsequent one expressed in a trivialization or rejection of the innovation (problematic position). This conflict may be resolved in two different ways: (a) the dominance of the innovative position and the consequent inhibition of the problematic one and (b) the negotiation between the innovative and the problematic positions. In this study, we sought to study the evolution of the dominance and the negotiation processes in recovered and unchanged cases; to analyse if different therapeutic models produce different results on the evolution of the dominance and negotiation processes, and finally, to study if these processes are predictive of ambivalence resolution. The complete sessions of 22 clinical cases of depression (6 cognitive-behavioural therapy, 10 narrative therapy, and 6 emotion-focused therapy cases) were independently coded for innovative moments, ambivalence, and ambivalence resolution. Results revealed that recovered cases had a progressively higher proportion of negotiation along treatment, whereas in unchanged cases, negotiation was virtually absent throughout treatment. Both dominance and negotiation were significant predictors of ambivalence reduction, however, negotiation had a higher impact than dominance. Overall, these results did not significantly differ for the 3 therapeutic models. The theoretical implications of these findings are discussed, and theoretical derived suggestions for clinicians are presented.

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Purpose of Review With the growing interest for STEM/STEAM, new robotic platforms are being created with different characteristics, extras, and options. There are so many diverse solutions that it is difficult for a teacher/student to choose the ideal one. This paper intends to provide an analysis of the most common robotic platforms existent on the market. The same is happening regarding robotic events all around the world, with objectives so distinctive, and with complexity from easy to very difficult. This paper also describes some of those events which occur in many countries. Recent Findings As the literature is showing, there has been a visible effort from schools and educators to teach robotics from very young ages, not only because robotics is the future, but also as a tool to teach STEM/STEAM areas. But as time progresses, the options for the right platforms also evolve making difficult to choose amongst them. Some authors opt to first choose a robotic platform and carry on from there. Others choose first a development environment and then look for which robots can be programmed from it. Summary An actual review on learning robotics is here presented, firstly showing some literature background on history and trends of robotic platforms used in education in general, the different development environments for robotics, and finishing on competitions and events. A comprehensive characterization list of robotic platforms along with robotic competitions and events is also shown.

Research emphasizes that individuals' engagement with change process is a significant predictor of therapeutic outcomes. Ambivalence is a natural phenomenon in change processes, but when individuals cannot overcome it, their problems may intensify. Ambivalence towards change, a client variable characterized by an intrapersonal conflict between two positions of the self, one in favour of change and another one in favour of the status quo, is shown to play a determinant role in psychotherapy. Despite its importance, few empirical studies have examined this process, and the considerable methodological differences among existing studies make it difficult to generalize results. Therefore, instruments measuring ambivalence in an effective way can help broaden the understanding of the process. First, we performed a content analysis of ambivalence events identified in psychotherapy sessions from previous studies using an observational coding system. The factor structure, reliability and validity of the measure were tested using 91 and confirmed with 223 psychotherapy clients at any time during the therapeutic process. A two-factor structure was found, suggesting two components of Ambivalence-Demoralization and Wavering. The results indicated that the Ambivalence in Psychotherapy Questionnaire exhibits good psychometric properties, including good convergent and divergent validity. The implications are discussed.