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Automated task planning for robots is usually implemented on a motion primitive domain, where the focus is on constructing meaningful, general motion primitives. In this work we propose planning on the higher abstraction level of robot skills. In this context, skills are general, functional blocks that contain both sensing and action, have a welldefined expected outcome and set of preconditions, a

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Geospatial information is indispensable for various real-world applications and is thus a prominent part of today’s data science landscape. Geospatial data is primarily maintained and disseminated through spatial data infrastructures (SDIs). However, current SDIs are facing challenges in terms of data integration and semantic heterogeneity because of their partially siloed data organization. In th

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A statistical approach to a posteriori blockmodeling for digraphs and valued digraphs is proposed. The probability model assumes that the vertices of the digraph are partitioned into several unobserved (latent) classes and that the probability distribution of the relation between two vertices depends only on the classes to which they belong. A Bayesian estimator based on Gibbs sampling is proposed

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Designing a system for computer aided diagnosis is a complex procedure requiring an understanding of the biology of the disease, insight into hospital workflow and awareness of available technical solutions. This paper aims to show that a valuable system can be designed for diagnosing kidney lesions in children and adolescents from 99m Tc-DMSA scintigraphy images. We present the chain of analysis

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Directions are given for demonstrating various topics from the other book chapters: The wave-nature of light, singlet oxygen, chromatic adaptation of cyanobacteria, the properties of the human visual system, photoconversion of rhodopsin, photosynthesis of previtamin D, spectral properties of chlorophyll, photoconversion of protochlorophyllide, separation of chloroplast pigments, photoadaptation of

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People who have visual impairments may have difficulties navigating freely and without personal assistance, and some are even afraid to go out alone. Current navigation devices with non-visual feedback are quite expensive, few, and are in general focused on routing and target finding. We have developed a test prototype application running on the Android platform in which a user may scan for map in

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BACKGROUND: Intense exercise has been reported as one risk factor for hip and knee osteoarthritis (OA). PURPOSE: This study aimed to evaluate (1) whether this is true for both former impact and nonimpact athletes, (2) if the risk of a hip or knee arthroplasty due to OA is higher than expected, and (3) if joint deterioration is associated with knee injuries. STUDY DESIGN: Cohort study; Level of evi

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Discrete Time Markov Chains (DTMCs) and Con- tinuous Time Markov Chains (CTMCs) are often used to model various types of phenomena, such as, for example, the behavior of software products. In that case, Markov chains are widely used to describe possible time-varying behavior of “self-adaptive” software systems, where the transition from one state to another represents alternative choices at the so

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ImportanceGuidelines for temperature control following out-of-hospital cardiac arrest (OHCA) are based on trials with end points of 180 days or fewer.ObjectivesTo investigate if targeted hypothermia, compared with targeted normothermia with early treatment of fever, affects functional outcome focusing on societal participation or cognitive functioning at 24 months in initially comatose OHCA survivImportanceGuidelines for temperature control following out-of-hospital cardiac arrest (OHCA) are based on trials with end points of 180 days or fewer.ObjectivesTo investigate if targeted hypothermia, compared with targeted normothermia with early treatment of fever, affects functional outcome focusing on societal participation or cognitive functioning at 24 months in initially comatose OHCA surviv

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The role of multiple groups of primary biological aerosol particles (PBAPs) as ice nucleating particles (INPs), and of ice formation processes such as time-dependent freezing of various INPs, and various secondary ice production(SIP) mechanisms in overall ice concentration has been evaluated in a range of cloud systems by simulating them numerically with the state-of-the-art ‘Aerosol-Cloud’ (AC) m

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BACKGROUND Anterior cruciate ligament (ACL) injury of the knee is common in young active adults and often has severe and sometimes lifelong consequences. The clinical management of this injury remains debated. A prior trial of early versus delayed optional ACL repair showed no differences in outcomes at 2 years. METHODS We present the 11-year follow-up of a randomized clinical trial involving 121

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Precision medicine is part of the logical evolution of contemporary evidence-based medicine that seeks to reduce errors and optimize outcomes when making medical decisions and health recommendations. Diabetes affects hundreds of millions of people worldwide, many of whom will develop life-threatening complications and die prematurely. Precision medicine can potentially address this enormous proble

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The Legal Principle of Equality underpins most national tax systems and encompasses both substantive and procedural equality. In its substantive form, the principle requires that equal treatment of equal situations. This does not mean however that unequal situations always merit unequal treatment. Political will may determine that particular distinguishing criteria should be discounted. Gender and

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Despite the hegemonic status of global health governance that favors the high-income countries (HICs), global health diplomacy (GHD) as a critical tool to manage health is an understudied subject particularly in low- and middle-income countries (LMICs). This research illustrates how GHD is exercised in Indonesia by exploring the actors, their capacities, and the surrounding context. The aim of the

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Our current economic system is inherently unsustainable. The ‘growth fetishism’ not only is the dominant paradigm of our economies, but goes way deeper into our understanding of how well-being is defined and can be improved. The concept of ‘degrowth’ tries to question this hegemony. However, so far, degrowth has not entered the public debate in a sufficient way. I argue that degrowth needs more in

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Cosmogenic radionuclide records (e.g., 10Be and 14C) contain information on past geomagnetic dipole moment and solar activity changes. Disentangling these signals is challenging, but can be achieved by using independent reconstructions of the geomagnetic dipole moment. Consequently, solar activity reconstructions are directly influenced by the dipole moment uncertainties. Alternatively, the known

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The transition to agile manufacturing, Industry 4.0, and high-mix-low-volume tasks require robot programming solutions that are flexible. However, most deployed robot solutions are still statically programmed and use stiff position control, which limit their usefulness. In this paper, we show how a single robot skill that utilizes knowledge representation, task planning, and automatic selection of