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Recent advances in machine learning have triggered an enormous interest in using learning-based approaches for robot control and object manipulation. While the majority of existing algorithms are evaluated under the assumption that the involved bodies are rigid, a large number of practical applications contain deformable objects. In this work we focus on Deformable Linear Objects (DLOs) which can
In 2008, the Chartered Institution of Building Services Engineers (CIBSE TM46 UC) presented an annual-fixed thermal energy benchmark of 240 kWh/m2/yr for university campus (UC) buildings as an attempt to reduce energy consumption in public buildings. However, the CIBSE TM46 UC benchmark fails to consider the difference between energy demand in warm and cold months, as the thermal performance of bu
Buffer management for biopharmaceutical purification processes include buffer preparation, storage of buffers and restocking the buffers when needed. This is usually performed manually by the operators for small scale operations. However, buffer management can become a bottleneck when running integrated continuous purification processes for prolonged times, even at small scale. To address this iss
Despite recent therapeutic advances, pancreatic ductal adenocarcinoma (PDAC) remains one of the most aggressive malignancies, with remarkable resistance to treatment, poor prognosis, and poor clinical outcome. More efficient therapeutic approaches are urgently needed to improve patients’ survival. Recently, the development of organoid culture systems has gained substantial attention as an emerging
Development of integrated, continuous biomanufacturing (ICB) processes brings along the challenge of streamlining the acquisition of data that can be used for process monitoring, product quality testing and process control. Manually performing sample acquisition, preparation, and analysis during process and product development on ICB platforms requires time and labor that diverts attention from th
När medborgare vill gå samman och äga och producera energi gemensamt finns det olika sätt att organisera det på. I den här community briefen presenterar vi fem olika modeller av energigemenskaper. Modellerna baseras på en analys av 12 existerande solenergigemenskaper i Sverige. Genom att presentera de olika modellerna för delat ägande av förnybar energi hoppas vi kunna inspirera fler att etablera
Background and Purpose: Target delineation in glioblastoma is still a matter of extensive research and debate. This guideline aims to update the existing joint European consensus on delineation of the clinical target volume (CTV) in adult glioblastoma patients. Material and Methods: The ESTRO Guidelines Committee identified 14 European experts in close interaction with the ESTRO clinical committee
Public transport systems in different parts of the world are currently undergoing a change characterised by the introduction of battery-powered electric buses in everyday operations. The introduction of electric buses brings new challenges such as high investment costs and technology concerns, as well as new forms of collaboration between both established and new actors. The aim of this paper is t
Analytical solutions for runoff caused by a moving rain storm of time-varying rain intensity from a complex drainage basin are derived assuming constant concentration times for the different systems within the basin. It is found that the runoff caused by a peaked rain intensity distribution is higher than that from a uniform distribution of the same mean intensity. It is also shown that the storm
According to the proposal for a minimum reporting guideline for an eye tracking study by Holmqvist et al. (2022), the accuracy (in degrees) of eye tracking data should be reported. Currently, there is no easy way to determine accuracy for wearable eye tracking recordings. To enable determining the accuracy quickly and easily, we have produced a simple validation procedure using a printable poster
Given their flexibility and encouraging performance, deep-learning models are becoming standard for motion prediction in autonomous driving. However, with great flexibility comes a lack of interpretability and possible violations of physical constraints. Accompanying these data-driven methods with differentially-constrained motion models to provide physically feasible trajectories is a promising f
In this paper, a comparative study of core losses in laminated steel samples by means of inferential statistics is presented. In particular, core loss measurements taken upon Epstein Frame, Single-Strip tester, and Ring Core specimens at several frequencies and induction levels are compared via Analysis of Variance and two-sample t-tests. The hypothesis of a statistically significant difference am
