Divorce is a common and complex phenomenon with high social impact, especially when it involves pervasive conflict. This chapter discusses an analytic content-based framework for gaining an in-depth understanding of divorce. It considers seven inter- related dimensions: time, conflict, relationships, violence, systems, cooperation and communication. Each dimension can be further related to the exacerbating factors of addiction and psychiatric illness. This analytical method points the way to de- escalating domestic conflict and sometimes intimate violence after divorce by listen- ing to and properly interpreting the voices of children and parents. Partner violence and controlling behaviour before, during and after divorce can arise from the struggle of one partner to attack and diminish the other, or by both partners contending for power as the family breaks up. The resulting conflict can disrupt the parental partner- ship in ways that traumatize them and interfere with their children’s right to grow up in safe surroundings, nurtured and guided by both parents. Social professionals who respond effectively are able to look beyond stereotypes to sense the unique and subtle patterns underlying the intense and persistent discord characteristic of high-conflict divorce. Only when the particular aspects of those patterns are understood and prop- erly addressed can (co-) parenting be restored to assure the children of post-divorce safety and well-being.
This study used a trait-state-occasion (TSO) model to isolate stable trait variance, occasion-specific state variance, and shared method related variance in a measure for leisure satisfaction in a Dutch nationally representative nine-year panel study. Findings indicate that satisfaction with leisure time is a consistently stronger indicator of overall leisure satisfaction than satisfaction with leisure activities. About half of the variance in leisure satisfaction is stable trait variance, with the remaining variance being mostly occasion-specific and to a lesser extent attributable to shared method variance and error. However, these findings depend on the age group we consider.Several socio-demographic variables relate directly to the trait aspect of leisure satisfaction. Our study underscores the importance of recognizing that over time leisure satisfaction measurements have considerable stable and more volatile elements and that one should control for shared method effects.
The purpose of the design-based research reported here is to show – as a proof of principle – how the idea of scaffolding can be used to support primary teachers in a professional development programme (PDP) to design and enact language-oriented science lessons. The PDP consisted of six sessions of 2.5 h each in which twelve primary school teachers took part over a period of six months. It centralised the language support that pupils need to reason during science lessons. In line with the idea of scaffolding, the structure of the PDP targeted teachers' gradual independence in designing lessons. The first research question is how scaffolding was enacted during the PDP. The analysis of video recordings, field notes, researcher and teacher logs, and teacher design assignments focused on the enactment of three scaffolding characteristics: diagnosis, responsiveness and handover to independence. The second research question concerns what teachers learned from the participation in the PDP that followed a scaffolding approach. The data analysis illustrates that these teachers had learned much in terms of designing and enacting language-oriented science lessons. In terms of diagnosis and responsiveness, our PDP approach was successful, but we problematise the ideal of scaffolding approaches focused on handover to independence.
Mondkapjes, of mondmaskers, zijn door de SARS-COV-2 pandemie niet meer uit het straatbeeld weg te denken. De kwaliteit en comfort van de pasvorm van medische en niet-medische mondmaskers wordt bepaald door hoe goed het mondmasker overeenkomt met de afmetingen van het gezicht van de drager. Echter is er geen goed overzicht van de antropometrie van het gelaat van de Nederlandse bevolking waardoor de pasvorm van mondmaskers nu vaak niet optimaal is. Er is dus vraag naar een laagdrempelige en veilige manier om gezichtskenmerken in kaart te brengen en betere ontwerprichtlijnen voor mondkapjes. Driedimensionaal (3D) scannen doormiddel van Light Detection and Ranging (LiDaR) technologie in combinatie met slimme algoritmes lijkt wellicht een manier om gezichtskenmerken snel en laagdrempelig vast te leggen bij grote groepen mensen. Daarnaast geeft het 3D scannen van gezichten de mogelijkheid om niet enkel de afmetingen van gezichten te meten, maar ook 3D pasvisualisaties uit te voeren. Hoewel 3D scannen geen nieuwe technologie is, is de LiDaR technologie pas sinds 2020 geïntegreerd in de Ipad en Iphone waardoor het toegankelijk gemaakt is voor consumenten. Doormiddel van een research through design benadering zal onderzocht worden of deze technologie gebruikt kan worden om betrouwbare en valide opnames te maken van gezichten en of er op basis hiervan ontwerprichtlijnen ontwikkeld kunnen worden. In dit KIEM GoCi-project zal daarnaast ingezet worden om een kennisbasis en netwerk op te bouwen voor een vervolg aanvraag over de inzet van 3D technologieën in de mode-industrie.
Many lithographically created optical components, such as photonic crystals, require the creation of periodically repeated structures [1]. The optical properties depend critically on the consistency of the shape and periodicity of the repeated structure. At the same time, the structure and its period may be similar to, or substantially below that of the optical diffraction limit, making inspection with optical microscopy difficult. Inspection tools must be able to scan an entire wafer (300 mm diameter), and identify wafers that fail to meet specifications rapidly. However, high resolution, and high throughput are often difficult to achieve simultaneously, and a compromise must be made. TeraNova is developing an optical inspection tool that can rapidly image features on wafers. Their product relies on (a) knowledge of what the features should be, and (b) a detailed and accurate model of light diffraction from the wafer surface. This combination allows deviations from features to be identified by modifying the model of the surface features until the calculated diffraction pattern matches the observed pattern. This form of microscopy—known as Fourier microscopy—has the potential to be very rapid and highly accurate. However, the solver, which calculates the wafer features from the diffraction pattern, must be very rapid and precise. To achieve this, a hardware solver will be implemented. The hardware solver must be combined with mechatronic tracking of the absolute wafer position, requiring the automatic identification of fiduciary markers. Finally, the problem of computer obsolescence in instrumentation (resulting in security weaknesses) will also be addressed by combining the digital hardware and software into a system-on-a-chip (SoC) to provide a powerful, yet secure operating environment for the microscope software.
Currently, many novel innovative materials and manufacturing methods are developed in order to help businesses for improving their performance, developing new products, and also implement more sustainability into their current processes. For this purpose, additive manufacturing (AM) technology has been very successful in the fabrication of complex shape products, that cannot be manufactured by conventional approaches, and also using novel high-performance materials with more sustainable aspects. The application of bioplastics and biopolymers is growing fast in the 3D printing industry. Since they are good alternatives to petrochemical products that have negative impacts on environments, therefore, many research studies have been exploring and developing new biopolymers and 3D printing techniques for the fabrication of fully biobased products. In particular, 3D printing of smart biopolymers has attracted much attention due to the specific functionalities of the fabricated products. They have a unique ability to recover their original shape from a significant plastic deformation when a particular stimulus, like temperature, is applied. Therefore, the application of smart biopolymers in the 3D printing process gives an additional dimension (time) to this technology, called four-dimensional (4D) printing, and it highlights the promise for further development of 4D printing in the design and fabrication of smart structures and products. This performance in combination with specific complex designs, such as sandwich structures, allows the production of for example impact-resistant, stress-absorber panels, lightweight products for sporting goods, automotive, or many other applications. In this study, an experimental approach will be applied to fabricate a suitable biopolymer with a shape memory behavior and also investigate the impact of design and operational parameters on the functionality of 4D printed sandwich structures, especially, stress absorption rate and shape recovery behavior.
