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Meaning negotiation

While “meaning negotiation” has become an ubiquitous term, its use is often confusing. A negotiation problem implies not only a convenience to agree, but also diverging interest on what to agree upon. It implies agreement but also the possibility of (voluntary) disagreement. In this chapter, we look at meaning negotiation as the process through which agents starting from different preferred concep

Learning to Adapt the Parameters of Behavior Trees and Motion Generators (BTMGs) to Task Variations

The ability to learn new tasks and quickly adapt to different variations or dimensions is an important attribute in agile robotics. In our previous work, we have explored Behavior Trees and Motion Generators (BTMGs) as a robot arm policy representation to facilitate the learning and execution of assembly tasks. The current implementation of the BTMGs for a specific task may not be robust to the ch

Neurobehavioral symptoms in children born extremely preterm : A Swedish National Study

Aim: To determine the prevalence of neurobehavioral symptoms at 6.5 years in children born extremely preterm (EPT, <27 weeks' gestation). Methods: Population-based cohort study of infants born EPT in Sweden from 2004 to 2007. Of 486 survivors 375 were assessed and compared with 369 matched term-born controls. EPT children free from neurosensory and intellectual disabilities (neurodevelopmental dis

Hydraulic Parameter Estimation in District Heating Networks

Using hydraulic models in control design in district heating networks can increase pumping efficiency and reduce sensitivity to hydraulic bottlenecks. These models are usually white-box, as they are obtained based on full knowledge of the district heating network and its parameters. This type of model is time-consuming to obtain, and might differ from the actual behavior of the system. In this pap

The role of primary care in the cancer care continuum : a qualitative study of cancer survivors’ experiences

Objective: To explore how cancer survivors have experienced their contacts with primary care after being diagnosed with cancer, focusing on the integration between cancer specialist and primary care, and participants’ views on what could make primary care services better at catering to the needs of cancer survivors. Design: A qualitative study in which data was collected through semi-structured di

Distributionally Robust RRT with Risk Allocation

An integration of distributionally robust risk allocation into sampling-based motion planning algorithms for robots operating in uncertain environments is proposed. We perform non-uniform risk allocation by decomposing the distributionally robust joint risk constraints defined over the entire planning horizon into individual risk constraints given the total risk budget. Specifically, the determini

Historical female influencers in automatic control

Over the last century, many women have contributed to the field of control engineering. Nevertheless, women are generally in the minority. This article highlights the contribution of women since the inception of control engineering to highlight good exemples to coming generations. A repository of portraits of women in control engineering is currently being curated and made available through the un

Actively controlled cardiac afterload

Ex vivo (outside of the body) working heart models enable the evaluation of isolated hearts. They are envisioned to play an important role in increasing the currently low utilization rate of donor hearts for transplantation. For the heart to work in isolation, an afterload (flow impedance) is needed. To date, afterload devices have been constructed by combining multiple constituent elements such a

Fast simulation of pharmacokinetics

Fast simulation of linear time-invariant (LTI) pharmacokinetic (PK) models is crucial to mixed-effect modeling techniques, used extensively in pharmacological research and development. The by far most common LTI PK models are particularly structured compartmental systems with one, two or three compartments. Here we develop and demonstrate very efficient, and down to machine precision exact, simula

Economic Evaluation of Elective Cesarean Section on Maternal Request Compared With Planned Vaginal Birth—Application to Swedish Setting Using National Registry Data

Objectives: There is a lack of consensus around the definition of delivery by cesarean section (CS) on maternal request, and clinical practice varies across and within countries. Previous economic evaluations have focused on specific populations and selected complications. Our aim was to evaluate the cost-effectiveness of CS on maternal request compared with planned vaginal birth in a Swedish cont

Pulmonary embolism and deep venous thrombosis after COVID-19 : long-term risk in a population-based cohort study

Background: Venous thromboembolism (VTE) (pulmonary embolism [PE] or deep venous thrombosis [DVT]) is common during acute COVID-19. Long-term excess risk has not yet been established. Objectives: To study long-term VTE risk after COVID-19. Methods: Swedish citizens aged 18 to 84 years hospitalized and/or testing positive for COVID-19 between January 1, 2020, and September 11, 2021 (exposed), strat

Ovärdig vård i livets slutskede – verklighetens palliativa vård?

En ökad kunskap och medvetenhet i vården och i samhället om palliativa vårdbehov skulle ge våra medborgare en bättre och tryggare tillvaro i livets slutskede.I den vård som bedrivs när livet närmar sig sitt slut saknas ofta – planering för vården i livets slutskede trots multisjuklighet och hög ålder– brytpunktssamtal eller informerande samtal med närstående – dokumentation av patienters behov, ön

Interaction-Aware Motion Planning for Autonomous Vehicles with Multi-Modal Obstacle Uncertainty Predictions

This paper proposes an interaction and safety-aware motion-planning method for an autonomous vehicle in uncertain multi-vehicle traffic environments. The method integrates the ability of the interaction-aware interacting multiple model Kalman filter (IAIMM-KF) to predict interactive multi-modal maneuvers of surrounding vehicles, and the advantage of model predictive control (MPC) in planning an op