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Modeling cutting edge honing process in wet abrasive jet machining

Cutting edge preparation is crucial in metal cutting as the edge geometry significantly influences both the material removal process and tool life. However, an analytical model that can physically describe the cutting edge preparation process has not yet been established. Taking the wet abrasive jet machining (WAJM) method as an example, the following questions always remain: Why does WAJM always

The impact of common and rare genetic variants on bradyarrhythmia development

To broaden our understanding of bradyarrhythmias and conduction disease, we performed common variant genome-wide association analyses in up to 1.3 million individuals and rare variant burden testing in 460,000 individuals for sinus node dysfunction (SND), distal conduction disease (DCD) and pacemaker (PM) implantation. We identified 13, 31 and 21 common variant loci for SND, DCD and PM, respective

Evaluation of a new prediction model for the estimation of risk of obstetrical anal sphincter injuries

Background: Obstetrical anal sphincter injuries are complications of vaginal birth that have the potential to cause substantial maternal morbidity. Predicting these injuries might help to improve maternal care as well as antenatal counseling and patient education. Previous attempts to create prediction models have in many cases involved variables only known postpartum, which limits their use in an

Adaptive multipath-based SLAM for distributed MIMO systems

Localizing users and mapping the environment using radio signals is a key task in emerging applications such as reliable communications, location-aware security, and safety critical navigation. Recently introduced multipath-based simultaneous localization and mapping (MP-SLAM) can jointly localize a mobile agent and the reflective surfaces in radio frequency (RF) environments. Most existing MP-SLA

Posterior Cramér-Rao bounds on localization and mapping errors in distributed MIMO SLAM

Radio-frequency simultaneous localization and mapping (RF-SLAM) methods jointly infer the position of mobile transmitters and receivers in wireless networks, together with a geometric map of the propagation environment. An inferred map of specular surfaces can be used to exploit non-line-of-sight components of the multipath channel to increase robustness, bypass obstructions, and improve overall c

Degrees of Freedom and Characteristic Modes : Estimates for radiating and arbitrarily shaped objects

The number of degrees of freedom is a crucial parameter in many electromagnetic problems. In for example modern communication systems spatial diversity is often employed through multiple beams to enhance capacity and reliability. However, while the degrees of freedom can be computed, their connection to physical quantities is not as easily understood. To address this issue, this paper proposes a s

Spatial Separation of Closely-Spaced Users in Measured Distributed Massive MIMO Channels

Aiming for the sixth generation (6G) wireless communications, distributed massive multiple-input multiple-output (MIMO) systems hold significant potential for spatial multiplexing. In order to evaluate the ability of a distributed massive MIMO system to spatially separate closely spaced users, this paper presents an indoor channel measurement campaign. The measurements are carried out at a carrier

Fading Resilient Backscatter Communication : Low-Complexity Transmission, Detection and Synchronization Schemes

Battery-free IoT devices are becoming increasingly interesting for environmental and practical reasons, with ambient backscatter as one of the candidate technologies. We present a class of balanced transmission patterns for ambient backscatter communication (BSC) and evaluate their performance under different signal-to-interference ratios and fading conditions. These patterns allow for bit synchro

Uncertainty-Aware Decision-Making and Planning for Autonomous Forced Merging

In this paper, we develop an uncertainty-aware decision-making and motion-planning method for an autonomous ego vehicle in forced merging scenarios, considering the motion uncertainty of surrounding vehicles. The method dynamically captures the uncertainty of surrounding vehicles by online estimation of their acceleration bounds, enabling a reactive but rapid understanding of the uncertainty chara

Differentiation of True Nonlinear and Incoherent Mixing of Linear Signals in Action-Detected 2D Spectroscopy

Phase modulation and phase cycling schemes have been commonly used in electronic two-dimensional (2D) spectroscopy where the observables are incoherent signals such as fluorescence or photocurrent. Although the methods have distinct advantages compared to the coherent signal-detected 2D spectroscopy in sensitivity, possibility to measure spectra from isolated quantum systems and direct visualizati

Longitudinal enumeration and cluster evaluation of circulating tumor cells improve prognostication for patients with newly diagnosed metastatic breast cancer in a prospective observational trial

Background: Circulating tumor cells (CTCs) carry independent prognostic information in patients with metastatic breast cancer (MBC) on different lines of therapy. Moreover, CTC clusters are suggested to add prognostic information to CTC enumeration alone but their significance is unknown in patients with newly diagnosed MBC. We aimed to evaluate whether longitudinal enumeration of circulating tumo

Do green roofs and spatial resolution influence flood simulation output? – A case study in Malmö, Southern Sweden

Over recent years many urban areas have experienced severe floods caused by extreme precipitation events. To avoid the devastating socioeconomic and environmental consequences of such floods, countries have issued laws or recommendations on flood risk assessment in urban planning. However, these laws or recommendations seldom include detailed requirements on input data quality or explicit instruct

Synthetic versus real : an analysis of critical scenarios for autonomous vehicle testing

With the emergence of autonomous vehicles comes the requirement of adequate and rigorous testing, particularly in critical scenarios that are both challenging and potentially hazardous. Generating synthetic simulation-based critical scenarios for testing autonomous vehicles has therefore received considerable interest, yet it is unclear how such scenarios relate to the actual crash or near-crash s

The Impact of Semi-supervised Learning on Line Segment Detection

In this paper we present a method for line segment detection in images, based on a semi-supervised framework. Leveraging the use of a consistency loss based on differently augmented and perturbed unlabeled images with a small amount of labeled data, we show comparable results to fully supervised methods. This opens up application scenarios where annotation is difficult or expensive, and for domain

Stabilized scattering matrix formulation for 2D periodic multilayer dielectrics

This paper proposes an alternative semi-analytical Fourier modal method adapted for general periodic anisotropic gratings made of dielectrics with moderate to low index profiles corresponding to materials ranging from conventional dielectric 3D printing materials to ceramic materials. The proposed method is closely related to the classical rigorous coupled wave analysis built on scattering matrice

Neural Speech Tracking with EEG : Integrating Acoustics and Linguistics for Hearing Aid Users

This study investigates the neural encoding of speech features in hearing aid users using electroencephalography (EEG) during a simulated cocktail party scenario. The objective was to investigate neural tracking of various acoustic and linguistic features and how hearing aid noise reduction influenced this tracking. The features analyzed included the acoustic envelope, phonetic features, word onse

A suite of IEEE 1687 benchmark networks

The saturation of the IJTAG concept and its approval as the IEEE 1687 standard in 2014 has generated a wave of research activities and created demand for a set of appropriate and challenging benchmarks. This paper presents such a set developed by an industrial and academic consortium and constructed in a way that facilitates objective comparison of experimental results across research groups as we

Psychiatric inpatient bed capacity and suicide mortality in Sweden: a nationwide ecological study

BackgroundSuicide is a leading cause of premature mortality worldwide, but the impact of system-level mental health resources remains unclear despite the central role of psychiatric inpatient care and declining bed capacity. Prior research has yielded inconsistent findings with limited control for confounding. We aimed to estimate the effect of psychiatric inpatient bed availability on suicide mor

Techno-economic evaluation of integrated lignocellulosic ethanol production

Popular Abstract in Swedish Syftet med studierna som presenteras i denna avhandling har varit att undersöka om fordonsetanol kan framställas på ett lönsamt och energieffektivt sätt från restprodukter från jord- och skogsbruk enligt svenska förhållanden. Mycket av den forskning som rör andra-generationens etanolproduktion går ut på att förfina och förbättra de separata delstegen i framställningsproSweden has claimed that it wants to have a fossil-free vehicle fleet in 2030 as a milestone of its ambitious goal for 2050 to be a country with a sustainable and resource-efficient energy supply without any net GHG emissions. Production of bioethanol from plant materials is one potential method of meeting this goal. A large amount of research has been devoted toward the development of sustainable