Uitwerking van het smart industry ecosysteem voor onderwijs en arbeid. Hierin aandacht voor Smart Industry en Formeel leren, Leven Lang Leren, flexibilisering en Learning by doing.
Manure application can spread antimicrobial resistance (AMR) from manure to soil and surface water. This study evaluated the role of the soil texture on the dynamics of antimicrobial resistance genes (ARGs) in soils and surrounding surface waters. Six dairy farms with distinct soil textures (clay, sand, and peat) were sampled at different time points after the application of manure, and three representative ARGs sul1, erm(B), and tet(W) were quantified with qPCR. Manuring initially increased levels of erm(B) by 1.5 ± 0.5 log copies/kg of soil and tet(W) by 0.8 ± 0.4 log copies/kg across soil textures, after which levels gradually declined. In surface waters from clay environments, regardless of the ARG, the gene levels initially increased by 2.6 ± 1.6 log copies/L, after which levels gradually declined. The gene decay in soils was strongly dependent on the type of ARG (erm(B) < tet(W) < sul1; half-lives of 7, 11, and 75 days, respectively), while in water, the decay was primarily dependent on the soil texture adjacent to the sampled surface water (clay < peat < sand; half-lives of 2, 6, and 10 days, respectively). Finally, recovery of ARG levels was predicted after 29–42 days. The results thus showed that there was not a complete restoration of ARGs in soils between rounds of manure application. In conclusion, this study demonstrates that rather than showing similar dynamics of decay, factors such as the type of ARG and soil texture drive the ARG persistence in the environment.
MULTIFILE
Ever since the recognition of the causality between earthquakes in the Region Groningen (The Netherlands), gas production and the ensuing damage to houses and buildings in that area, government faces big challenges in policy-making. On the one hand liability for damages must result in fast and effective repair of houses and buildings and in safety safeguards for the infrastructure. On the other hand public trust in governmental institutions in the Earthquake area Groningen has to be restored.As a result of the advice of the Commission ‘Sustainable Future North East Groningen’ a comprehensive package of measures called ‘Trust in restoration, Restoration of trust’ (‘Vertrouwen op herstel, Herstel van vertrouwen’) was announced in which public-private partnerships were introduced for the purpose and in favor of the economic perspective of the region, including the establishment of local initiatives on sustainable energy, damage repair and guaranteeing a confidential approach by the government.Multiple actors are involved in the execution of this package of measures, since the competence of decision-making lies at State, regional and local level. Together with the emergence of public-private partnerships this all results in a very complex case of multi-level governance and policy-making.The central research question this article addresses is whether public-private partnerships contribute in a legal and effective manner to policy-making following the package of measures ‘Trust in restoration, Restoration of trust’ in the Energy Port Region Groningen.
The demand for mobile agents in industrial environments to perform various tasks is growing tremendously in recent years. However, changing environments, security considerations and robustness against failure are major persistent challenges autonomous agents have to face when operating alongside other mobile agents. Currently, such problems remain largely unsolved. Collaborative multi-platform Cyber- Physical-Systems (CPSs) in which different agents flexibly contribute with their relative equipment and capabilities forming a symbiotic network solving multiple objectives simultaneously are highly desirable. Our proposed SMART-AGENTS platform will enable flexibility and modularity providing multi-objective solutions, demonstrated in two industrial domains: logistics (cycle-counting in warehouses) and agriculture (pest and disease identification in greenhouses). Aerial vehicles are limited in their computational power due to weight limitations but offer large mobility to provide access to otherwise unreachable places and an “eagle eye” to inform about terrain, obstacles by taking pictures and videos. Specialized autonomous agents carrying optical sensors will enable disease classification and product recognition improving green- and warehouse productivity. Newly developed micro-electromechanical systems (MEMS) sensor arrays will create 3D flow-based images of surroundings even in dark and hazy conditions contributing to the multi-sensor system, including cameras, wireless signatures and magnetic field information shared among the symbiotic fleet. Integration of mobile systems, such as smart phones, which are not explicitly controlled, will provide valuable information about human as well as equipment movement in the environment by generating data from relative positioning sensors, such as wireless and magnetic signatures. Newly developed algorithms will enable robust autonomous navigation and control of the fleet in dynamic environments incorporating the multi-sensor data generated by the variety of mobile actors. The proposed SMART-AGENTS platform will use real-time 5G communication and edge computing providing new organizational structures to cope with scalability and integration of multiple devices/agents. It will enable a symbiosis of the complementary CPSs using a combination of equipment yielding efficiency and versatility of operation.
