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We investigate the use of particle filter (PF) estimation techniques on a hovercraft vehicle in an office environment. Monte Carlo Localization (MCL) with particle filtering is a popular method for localizing robots with laser range finders. In maps featuring long, uniform corridors though, a PF can produce low confidence estimates. When used as feedback to control an unstable vehicle this can pro

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This paper extends the application of quantile-based Bayesian inference to probability distributions defined in terms of quantiles of observable quantities. Quantile-parameterized distributions are characterized by high shape flexibility and parameter interpretability, making them useful for eliciting information about observables. To encode uncertainty in the quantiles elicited from experts, we p

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In medical research and within the field of Biology, it is important to find effective tools for probing and manipulating cells, as well as tools for detecting biomolecules. These tools should be sensitive, with high specitivity, and, if aimed at interacting with cells, they should be minimally invasive. In this thesis, I investigated the potential of various nanotools for these purposes. Specific

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This chapter analyses the implications of findings in epigenetics for the ascription of moral responsibility for children. It contrasts shared understandings of procreative responsibility and discusses its extension to include all (individual or collective) actors who influence a child’s gene expression. It also problematizes the focus on biology in this process, using the example of epigenetics a

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We have developed a sampling method for beamline simulations for the proposed NNBAR experiment at the European Spallation Source. The method is based on probability density evaluation and duct source biasing and enables the simulations of the entire NNBAR beamline with high statistics while also preserving correlations of the neutron tracks. Future efforts will focus on employing these methods for

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Sustainability and resilience are two related but distinct theories of coupled environmental and social systems. Both have been heavily debated and contested over recent decades, and both are highly relevant for understanding, managing, and living with and within riverine landscapes. In this chapter, I summarise key concepts of sustainability and social–ecological resilience theories and discuss t

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Rivers have been modified significantly during the last 200 years in Switzerland. These modifications were done for protection purposes (protection against floods), construction of hydropower plants, gain of land or other human activities. These artificial transformations have reduced, sometimes drastically, the natural dynamic of the rivers, which has reduced biodiversity, and has also increased

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The Derjaguin approximation (DA) relates the force between curved surfaces to the interaction free energy between parallel planes. It is typically derived by considering the direct interaction between the bodies involved, thus treating the effect of an intervening solvent implicitly by a rescaling of the corresponding Hamaker constant. Here, we provide a generalization of DA to the case of a molec

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Context: We present an kinematical analysis of 90 F and G type dwarf, turn-off, and subgiant stars in the Galactic bulge. These stars were observed with high-resolution spectrographs during gravitational microlensing events This allowed for their ages, abundances, and radial velocities to be ascertained while they were significantly brighter. Plotting these stars as [C/O] vs [O/H], it is revealed

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In this thesis, we explore the Alternating Direction Method of Multipliers (ADMM) algorithm, the Plug & Play (PnP) algorithm and consensus equilbrium in order to understand their importance for solving complex imaging problems. We begin by motivating the invention of ADMM which combines the strengths of dual ascent and the method of multipliers. A proof of convergence for ADMM is then provided

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The growing use of economic sanctions as a foreign policy tool has intensi-fied legal and political tensions in the international trade system. This trend has been particularly pronounced following the expansion of the United States’ (U.S.) secondary sanctions with extraterritorial reach, and in response to major geopolitical events, including the U.S. withdrawal from the Joint Comprehensive Plan

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Background. Seeking to clarify the parent-offspring transmission of Major Depression (MD) and type I Bipolar Disorder (BD), we examined offspring MD and BD risk in five informative parental pairs: Unaffected x MD, Unaffected x BD, MDxMD, MDxBD and BDxBD. Methods. We identified 289,637 individuals born in Sweden 1970-1990, followed through 2018, from parents with MD and/or BD identified from Swedis

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Introduction A World Health Organization (WHO) system has recently been introduced to standardize reporting of lymph node fine-needle aspiration biopsy (LN-FNAB) cytopathology. Herein, we analyze its diagnostic performance in a routine setting.Materials and methodsWe reviewed 2274 consecutive lymph node fine-needle aspiration biopsies categorized according to the WHO system. Corresponding histolog

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Anxiety and mood disorders are the most diagnosed mental health conditions globally, but many people do not have access to treatment that is effective, affordable, and acceptable. Sensory modulation intervention is an emerging approach, which may provide an accessible alternative or complement to existing pharmaceutical and talking therapies for managing anxiety and low mood. Evidence suggests tha

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The Gaia space observatory has produced astrometric measurements of extraordinary precision, enabling detection of exoplanets through the reflex motion of their host stars. With Gaia Data Release 4 (DR4) scheduled for December 2026, which will include full epoch astrometry, methods for orbital parameter recovery are needed. This work presents a Bayesian Markov Chain Monte Carlo (MCMC) framework fo