The role of affect regulation in the treatment of people who have committed sexual offences

Affect regulation problems have been found to play an important role in the onset of problematic behavior, such as sexual abuse. The role of emotion and maladaptive coping has become relevant in both research and treatment interventions. Forensic treatments have been strongly influenced by conceptualizations of affect regulation that emphasize the control of emotional experience and expression. For a long time, emotions were treated as less important than cognition. However, the view of emotion as an adaptive resource and meaning system is now emerging in the forensic literature. General psychotherapy research has shown that improved affect regulation and deeper experiencing is associated with better outcomes in psychotherapy. These findings, in combination with the role of emotions in behavioral and relational functioning, are leading to a shift in forensic treatment approaches. In this paper, we review the literature on affect regulation in treatment programs for individuals who have committed sexual offences. The implications of this work for forensic practice will be considered. Finally, Emotion-Focused Therapy will be presented as a promising therapeutic approach for forensic treatment programs to promote clients' emotional engagement and processing, and to improve treatment outcomes

Thirty years of research on children’s rights in the context of migration: towards increased visibility and recognition of some children, but not all?

This article presents a tentative analysis of 30 years of academic research in the field of children’s rights and migration (1989–2019). Much research has addressed the plight of unaccompanied, refugee and asylum-seeking children, trying better to link children’s rights considerations with international refugee law. Many publications address the best interests of the child principle and the right to be heard. Most research focuses on (migration towards) Europe. This has led to an increased visibility and recognition of children’s rights in the context of migration. However, there are still various blind spots in the research reviewed. Most research focuses on some children, but not all (e.g., accompanied children), on some rights, but not all (e.g., economic, social and cultural rights), and on some types of migration, but not all (e.g., economic migration). Moreover, refugee and migrant children tend to be studied as a group, which risks reducing attention for their internal diversity

VITO combineert sensorplatformen met aardobservatie voor een betere monitoring van water

De huidige systemen om de toestand van het water op te volgen, voldoen vaak niet aan de noden van waterbeheerders, baggeraars, waterbedrijven, havenbeheerders, enzovoort. De data schieten tekort in kwaliteit en kwantiteit. Daarom ontwikkelt VITO een monitoringssysteem dat geautomatiseerde sensoren op onbemande vaartuigen combineert met aardobservatie: SAVEWATER. Ook het beschikbaar stellen van de data maakt deel uit van dit systeem. Het project wordt samen met de Europese ruimtevaartorganisatie ESA uitgewerkt

An Exact Algorithm for Side-Chain Placement in Protein Design

Computational protein design aims at constructing novel or improved functions on the structure of a given protein backbone and has important applications in the pharmaceutical and biotechnical industry. The underlying combinatorial side-chain placement problem consists of choosing a side-chain placement for each residue position such that the resulting overall energy is minimum. The choice of the side-chain then also determines the amino acid for this position. Many algorithms for this NP-hard problem have been proposed in the context of homology modeling, which, however, reach their limits when faced with large protein design instances. In this paper, we propose a new exact method for the side-chain placement problem that works well even for large instance sizes as they appear in protein design. Our main contribution is a dedicated branch-and-bound algorithm that combines tight upper and lower bounds resulting from a novel Lagrangian relaxation approach for side-chain placement. Our experimental results show that our method outperforms alternative state-of-the art exact approaches and makes it possible to optimally solve large protein design instances routinely