Differentiates between clinical reasoning for diagnosis, etiology, prognosis, and for interventions. Includes basic knowledge about clinical reasoning and more in-depth knowledge, illustrated with videos. Helps to understand and to critical appraise the common research designs in healthcare scientific literature.
This chapter presents Critical Policy Discourse Analysis (CPDA) which merges critical discourse analysis (CDA) with critical policy studies (CPS). CPDA engages with a discursive analysis of a policy problem, generally drawing on critical discourse analysis for its methodology, in this case Text Oriented Discourse Analysis (TODA). The research addresses the problem of complexity reduction in the process of policy-making and illustrates this with an analysis of the UN Agenda “Transforming the World, the 2030 Agenda for Sustainable Development”, which introduces the sustainable development goals (SDGs). It presents the reader with a detailed example of how to perform a TODA research. It indeed reveals mechanisms of policy reduction such as decontextualization, singularization, a limited spatio-temporal frame reduced to the timespan of the UN. It discusses the potential consequences of this for the effectivity of the SDGs and presents alternative theories and voices that do capture the complexity of real life events. The final section suggests further developments in CPDA and advocates bringing complexity to the fore.
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.
The utilization of drones in various industries, such as agriculture, infrastructure inspection, and surveillance, has significantly increased in recent years. However, navigating low-altitude environments poses a challenge due to potential collisions with “unseen” obstacles like power lines and poles, leading to safety concerns and equipment damage. Traditional obstacle avoidance systems often struggle with detecting thin and transparent obstacles, making them ill-suited for scenarios involving power lines, which are essential yet difficult to perceive visually. Together with partners that are active in logistics and safety and security domains, this project proposal aims at conducting feasibility study on advanced obstacle detection and avoidance system for low-flying drones. To that end, the main research question is, “How can AI-enabled, robust and module invisible obstacle avoidance technology can be developed for low-flying drones? During this feasibility study, cutting-edge sensor technologies, such as LiDAR, radar, camera and advanced machine learning algorithms will be investigated to what extent they can be used be to accurately detect “Not easily seen” obstacles in real-time. The successful conclusion of this project will lead to a bigger project that aims to contribute to the advancement of drone safety and operational capabilities in low-altitude environments, opening new possibilities for applications in industries where low-flying drones and obstacle avoidance are critical.
Plastic products are currently been critically reviewed due to the growing awareness on the related problems, such as the “plastic soup”. EU has introduced a ban for a number of single-use consumer products and fossil-based polymers coming in force in 2021. The list of banned products are expected to be extended, for example for single-use, non-compostable plastics in horticulture and agriculture. Therefore, it is crucial to develop sustainable, biodegradable alternatives. A significant amount of research has been performed on biobased polymers. However, plastics are made from a polymer mixed with other materials, additives, which are essential for the plastics production and performance. Development of biodegradable solutions for these additives is lacking, but is urgently needed. Biocarbon (Biochar), is a high-carbon, fine-grained residue that is produced through pyrolysis processes. This natural product is currently used to produce energy, but the recent research indicate that it has a great potential in enhancing biopolymer properties. The biocarbon-biopolymer composite could provide a much needed fully biodegradable solution. This would be especially interesting in agricultural and horticultural applications, since biocarbon has been found to be effective at retaining water and water-soluble nutrients and to increase micro-organism activity in soil. Biocarbon-biocomposite may also be used for other markets, where biodegradability is essential, including packaging and disposable consumer articles. The BioADD consortium consists of 9 industrial partners, a branch organization and 3 research partners. The partner companies form a complementary team, including biomass providers, pyrolysis technology manufacturers and companies producing products to the relevant markets of horticulture, agriculture and packaging. For each of the companies the successful result from the project will lead to concrete business opportunities. The support of Avans, University of Groningen and Eindhoven University of Technology is essential in developing the know-how and the first product development making the innovation possible.
