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Vowel-based voice analysis is gaining attention as a potential non-invasive tool for COPD classification, offering insights into phonatory function. The growing need for voice data has necessitated the adoption of various techniques, including segmentation, to augment existing datasets for training comprehensive Machine Learning (ML) modelsThis study aims to investigate the possible effects of seg

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Time-frequency (TF) postprocessing methods are often used to form concentrated TF representations (TFRs) for nonstationary signals. Regrettably, most such techniques are sensitive to noise and tend to underestimate weak components when dealing with transient signals, resulting in sidelobes and low-resolution TFRs. In this work, we introduce a generalized group delay (GD) weighted sparse TF (GWSTF)

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Version 3 av ecoinvent är den första databasen att erbjuda möjligheten att koppla samman livscykelinventeringar (LCI) utefter olika länkningsalgoritmer. Genom dessa länkningsalgoritmer tar ecoinvent nu fram bakgrundslivscykelinventeringar med både medeldata och långsiktig marginaldata (t.ex. över elmarknader i olika länder). Idealt sett representerar långsiktig marginaldata över elmarknader den ytVersion 3 of the ecoinvent database is the first background database to offer the possibility to link life cycle inventories (LCI) according to different linking algorithms. Using those algorithms, ecoinvent now provides both average and long-term, marginal background LCI data, (e.g. for electricity markets for different countries). Long-term, marginal data for electricity markets ideally represen

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Heparin and heparan sulfate (HS) are linear sulfated disaccharide polymers. Heparin is found mainly in mast cells, while heparan sulfate is found in connective tissue, extracellular matrix and on cell membranes in most tissues. α1-microglobulin (A1M) is a ubiquitous protein with thiol-dependent antioxidant properties, protecting cells and matrix against oxidative damage due to its reductase activi

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We consider the problem of reconstructing the sound field in a room using prior information of the boundary geometry, represented as a point cloud. In general, when no boundary information is available, an accurate sound field reconstruction over a large spatial region and at high frequencies requires numerous microphone measurements. On the other hand, if all geometrical and acoustical aspects of

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Deception jamming is a powerful technique used to disrupt various radar systems. In this work, we propose a novel sensor selection scheme for FDA-MIMO radar systems designed to maximize the likelihood of accurate jammer identification. The approach exploits the inherent delay between a jammer measuring incoming waveforms and its response. This delay induces a slight shift in the perceived distance

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Many forms of small-size radars suffer from minor clock oscillations due to crystalline impurities in their internal clocks, causing time-varying clock offsets between the transmitter and the receivers. This offset causes a bias and an increased variance in the positioning of close-range targets, limiting the achievable accuracy well beyond the expected estimation limitations. Furthermore, an appr

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The Haro 11 galaxy merger is the closest known Lyman continuum (LyC) leaker and a strong Lyman-α (Lyα) emitter, making it an important analogue of the high-z galaxies that reionised the early Universe. To investigate how Haro 11’s properties arise, we perform a radiation hydrodynamics simulation of the merger, and create mock observations of LyC, Lyα, and Hα, from which we compute their luminositi

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Barnahus syftar till att förbättra utredningar och samarbete mellan myndigheter när barn misstänks ha varit utsatta för brott som misshandel eller sexuella övergrepp. I Barnahus samverkar olika instanser som socialtjänst, polis, åklagare, barnmedicin, rättsmedicin samt barn- och ungdomspsykiatri i en barnvänlig miljö. I stället för att behöva upprepa sin berättelse för olika tjänstemän på olika pl

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Objective: To analyze the effectiveness and safety of growth hormone (GH) replacement treatment in adult patients with Langerhans cell histiocytosis (LCH) and GH deficiency (GHD) enrolled in KIMS (Pfizer International Metabolic Database). Patients and methods: Patients with LCH and GHD were studied at baseline and some of them after 1 year of GH treatment. The effectiveness of GH is presented as c

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This work is concerned with determining optimal sensor placements that allow for an accurate location estimate of structured signal sources, taking into account the expected location areas and the typical range of the parameters detailing the signals. In the presentation, we illustrate the technique for tonal sound signals, exploiting the expected harmonic structure of such signals. To determine p

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This paper discusses challenges, experiences and lessons learned so far while transforming a masonry build system based mostly on manual labour into a robot automated build system. Our motivation for selection of this masonry process is to try out how robot automation could impact the architects in their design work by providing a tool to directly manipulate wall expression down to individual bric

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An important issue in simultaneous localisation and mapping is how to match and merge individual local maps into one global map. This is addressed within the field of robotics and is crucial for multi-robot SLAM. There are a number of different ways to solve this task depending on the representation of the map. To take advantage of matching and merging methods that allow for deformations of the lo

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The most limiting factor in heart transplantation is the lack of donor organs. With enhanced prediction of outcome, it may be possible to increase the life-years from the organs that become available. Applications of machine learning to tabular data, typical of clinical decision support, pose the practical question of interpretation, which has technical and potential ethical implications. In parti

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We present a trajectory tracking controller for a quadrotor unmanned aerial vehicle (UAV) configured on SU(2) × R3, and relate this result to a family of geometric tracking controllers on SO(3) × R3. The theoretical results are verified in several simulation examples, and the controller is subsequently implemented in practice and integrated with a simultaneous localization and mapping (SLAM) syste

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In this work, we consider the problem of estimating the directions of arrival of far-field sources impinging on a sensor array using a computationally efficient approach. A novel adaptive grid selection technique is employed to reduce the dimensionality of the used dictionary matrix. The method further makes use of a SPICE-inspired dictionary to adaptively select an appropriate regularization para

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This article addresses the detection and estimation problems of a distributed multiple-input and multiple-output (MIMO) radar system with synchronization errors. In such cases, the outputs of all waveform-specific matched filters contain errors in the resulting time delay estimates, which will cause biases in the corresponding estimation of the active range cells. To overcome the impact resulting

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Frequency diverse array (FDA) radars provide a potential solution to target localisation along the slant range and azimuth angle due to the range-angle-dependent transmit beampattern caused by the used frequency increments. However, the S -shaped beampattern resulting from the standard FDA leads to multiple candidate location estimates, introducing ambiguity in the target localization. To make ful

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Recent advances have shown that sound fields can be accurately interpolated between microphone measurements when the spatial covariance matrix is known. This matrix may be estimated in various ways; one promising approach is to use a plane wave formulation with sparse priors, although this may require the use of a many microphones to suppress the noise. To overcome this, we introduce a time domain