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Vi må tage mental sundhed og trivsel lige så alvorligt som behandling af hjertesygdomme, kræft og diabetes
Optimal Reset of Zeeman Disk Qubits
Qubits in planar quantum disks can be controlled using magnetic fields. This provides a practical mechanism for qubit reset during operation. Then, the question arises: What reset protocol is the optimal one in terms of least dissipated heat? To answer this question, we solve the Euler-Lagrange equation for the dissipation rate of Zeeman disks with both soft and hard confinement. Exploiting the conserved Hamilton function reduces the complexity from solving nonlinear differential equations to purely algebraic ones. We also discuss practical constraints imposed by the maximal achievable drive. Finally, an approximate analytical protocol is devised and shown to be highly accurate
Stiffness modulation of an orthopedic robot based on large-range variable stiffness mechanisms
Stiffness modulation is a critical challenge in orthopedic robots for deformity correction. In this work, a novel orthopedic robot with variable stiffness mechanisms is proposed for dynamic stiffness adjustment in clinical deformity correction. The new design incorporates a novel reconfigurable variable stiffness mechanism (RVSM) with linear displacement to achieve a large range of stiffness adjustments. When the spring stiffness is k = 0.5N‧mm−1 and the number of proposed variable stiffness mechanisms is N = 1, the equivalent output stiffness of the RVSM is 2.84∼1.19×106N‧mm−1. In this paper, the principle of stiffness adjustment of the RVSM based on the slope-cam slider module is introduced, and the mathematical stiffness model of the RVSM is presented along with the characteristics analysis of the stiffness performance. With the matrix structural analysis method and the principle of virtual work, the stiffness model of the orthopedic parallel robot is established, which is used in stiffness modulation to adjust stiffness at different phases of deformity correction. The proposed stiffness modulation strategy fulfills the need for high stiffness in the early phase and low stiffness in the later phase, significantly reducing the stiffness fluctuations of the RVSMs. The efficiency of the established theoretical stiffness model is numerically validated through examples.</p
A Two-Level Architecture for Mobile Grasping
We propose an architecture for grasping on the move in order to facilitate pick and place operations while a mobile manipulator’s base is in motion. Our architecture eliminates the need for the robot to stop and localize in order to perform a pick and place operation which improves efficiency in setting such as industrial automation.Our framework applies a two-level planner where a base planner is used generate to trajectories for the base, and an arm planner is used to obtain a grasping trajectory given the planned motion of the base. We propose methods for combining and synchronizing these trajectories along with an online method for adjusting the trajectory of the arm to account for any deviation or error in the motion.We show application to a mobile manipulator robot, which consists of a UR5 arm mounted on a MiR mobile base. We show application to kitting and packing tasks in an industrial setting. Our results demonstrate that the robot is able to reach specified end-effector positions required to perform grasping while the base of the robot is in motion
D4.10 – European sub-national deep dives – Update
This deliverable brings together four studies exploring European sub‑national and sectoral perspectives on climate change mitigation, energy security and resilience, employment impacts, and policy assessment. The first study focuses on the power sector, comparing a scenario consistent with the EU’s ‘Fit for 55’ package against a hypothetical coal phaseout. The ‘Fit for 55’ scenario delivers higher and more evenly distributed net employment gains at lower overall system cost, while the ‘coal phaseout’ scenario achieves deeper emission reductions but creates significant re‑skilling challenges; these are especially acute for coal and lignite workers lacking key system and content skills needed for emerging technologies such as solar and wind. Skills required for new green jobs are relatively uniform across Europe, while the scale of re‑skilling varies by region. The second study shows that well‑designed, diversified renewable energy systems can be both secure and resilient, capable of meeting long‑term climate goals while managing operational risks; however, if security and robustness to disruptive events are priorities, these aspects must be explicitly included in scenario design and modelling practices. The third study evaluates renewable methanol imports, finding that economic and employment benefits plateau beyond a 50% import share; it highlights the importance of diversifying supply sources and maintaining domestic production capacity to enhance energy security and system efficiency. The fourth study shows that EU and Member State policies under Fit for 55 and updated NECPs can enable deep power‑sector decarbonisation by 2030 but require substantial, regionally coordinated investments in renewable generation and supporting infrastructure
Violent exchange:Towards a global criminology of exchange relations in criminal justice practices
This article explores the salience of the concept of violent exchange to contributetowards a global criminology of relationality. Coined in the Global South, the concept explores how we can understand criminal justice encounters across the Global South and North as relational exchanges, what is being exchanged by whom and what role potential and actual violence play in the exchanges. Through a disjunctive comparative effort, where cases are used to elicit new questions at global level, the article compares incidents of violent exchange in the Philippines, Kenya, the USA and Denmark. It concludes that we can in fact think of criminal justice practices relationally and that the comparison elicits new questions pointing towards future research agendas
Evaluation of Citizens' Experiences with the Digital Healthcare Clinic PreCare
The application of telehealth and citizens’ active engagement in managing their health are two of the main strategies drivingthe digital transformation of healthcare in Denmark. Telehealth enhances accessibility, reduces the need for transportation, particularly for citizens living with chronic conditions, and decreases hospital admissions by enabling treatment at home. More recently, citizens with acute conditions, who previously would have required hospitalization, are also being monitored through telehealth technologies. The growing use of telehealth underscores the need for a deeper understanding of telehealth from a citizen perspective. Thus, this study examines how citizens perceive and experience self-measurement, as this practice is key to realizing the full potential of telehealth. Seventeen semi-structured interviews were conducted with citizens enrolled in the PreCare Clinic, which is a digital healthcare model based on the EpitalCare Model (ECM). The participants, aged 65 to 93 years, were living with chronic obstructive pulmonary disease (COPD) and/or heart failure. The findings indicate that measurement behaviors manifest as routines, rhythms, or variable practices, while measurement affordances relate to progression, screening, validation, and goal setting. Overall, the results contribute to a more nuancedunderstanding of how and why citizens engage in self-measurement, providing valuable insights to guide the design and implementation of future telehealth interventions.<br/