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Your search for "2025" yielded 23923 hits

Integrering av humaniora i läkar- och ingenjörsutbildning : En bild av forskningsläget och riktningar för vidare forskning

De senaste 20 åren har humanioraintegrering i professionsutbildning varit på frammarsch i Sverige, både som forskningsfält och högskolepedagogisk praktik. Detta syns bland annat på bildandet av ett antal tvärvetenskapliga centra och program med sådan integrering i fokus. Den akademiska litteraturen om humanioraintegration i professionsutbildning visar att utvecklingen i Sverige är en del av en int

Performance Analysis of Digital Beamforming mmWave MIMO with Low-Resolution DACs/ADCs

Future wireless communications will rely on multiple-input multiple-output (MIMO) beamforming operating at millimeter wave (mmWave) frequency bands to deliver high data rates. To support flexible spatial processing and meet the demands of latency-critical applications, it is essential to use fully digital mmWave MIMO beamforming, which relies on accurate channel estimation. However, ensuring power

A Pilot-Study into a Novel Application for Inducing and Studying Visually-Induced Motion Sickness in a VR environment

This study presents a digital solution for inducing visually-induced motion sickness (VIMS) using a head-mounted display (HMD) in a virtual environment. By digitally replicating off vertical axis rotation by adopting the Epley Omniax Chair, we induce sensory conflicts between the visual and vestibular systems through rotational vection, alongside optokinetic stimulation inspired by the Optoki-neti

Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series Imputation

Accurate imputation is essential for the reliability and success of downstream tasks. Recently, diffusion models have attracted great attention in this field. However, these models neglect the latent distribution in a lower-dimensional space derived from the observed data, which limits the generative capacity of the diffusion model. Additionally, dealing with the original missing data without labe

Assessment of Wind Energy Potential in Ethiopia : A Case Study of the Sela Dingay Wind Farm

Wind energy is an increasingly viable solution for sustainable power generation, particularly in developing regions with high wind potential. This paper presents a comprehensive analysis of the wind power and energy output estimation for the Sela Dingay wind farm, a candidate site in Ethiopia. The study utilizes measured wind speed data at 50 meters and interpolates it to different hub heights (91

Tracing the origin of Betonica officinalis in Sweden: RADseq suggests long-term persistence in southern (Scanian) populations

The biogeographical origin of Betonica officinalis L. in Sweden has long been debated as to whether its populations represent natural postglacial relicts or human introductions. Using RADseq data from 42 individuals across 35 sites in 14 European countries, we analysed 9,598 SNPs to map genetic structure and infer relationships among regions. We found strong differentiation between western and cen

Kommersialisering och outsourcing av hushållsarbete : RUT-avdrag, migrantarbete och exploatering inom den svenska städindustrin

Privat städhjälp var tidigare ett marginellt fenomen på svensk arbetsmarknad. Precis som den kommersiella städningen så utfördes den framförallt av kvinnor och i synnerhet av invandrarkvinnor. Ersättningen var låg och utbetalades ofta svart och de som använde sig av privat städhjälp var i första hand välbärgade svenska familjer. För majoriteten av svenska hushåll var däremot städning och annat hus

Large Eddy Simulation of Thermoacoustic Instabilities in Bluff-Body Stabilized Flames

The present study investigates the thermoacoustic instability for triangular bluff-body stabilized flames using high fidelity Large Eddy Simulations with finite-rate chemistry. The study includes premixed propane-air combustion, studying the triggering of the thermoacoustic instability for different parameters such as, incoming turbulence intensity, inlet velocity and temperature, and equivalence

Characterization of Non-Wide-Sense Stationarity for Distributed Massive MIMO Channels

Distributed massive multiple-input multiple-output (MIMO) communication is envisioned as one of the key paradigms of future MIMO systems. To investigate non-wide-sense stationarities (non-WSSs) in distributed massive MIMO channels, this paper first presents an indoor channel measurement campaign, where distributed arrays with a total of 128 elements were implemented. Then relying on the correlatio

LES of Supersonic Combustion in a Mach 2 Cavity-Based Model Scramjet Combustor with Conjugate Heat Transfer and Radiative Heat Transfer

Here we report on reactive Large Eddy Simulations (LES) of flow and combustion in the US Air Force Research Laboratory Research Cell 19 cavity-based scramjet combustor. This case involves combustion of ethylene (C2H4) injected into a cavity from its slanted trailing edge. It has previously been studied experimentally with multiple techniques including particle image velocimetry, shadowgrapy, OH pl

Ray-tracing-assisted High-Resolution Parameter Estimation for Dynamic Millimeter-Wave Channels

An accurate description of the wireless channel is essential to the development of modern wireless systems. In order to mathematically model the propagation channel, one important prior step often done is high-resolution parameter estimation. The estimation accuracy of this step has a significant impact on how well the channel models can represent reality. In this paper, we address this by improvi

Experiments and Large Eddy Simulation of Supersonic Combustion in the Small-Scale Flight Experiment

Supersonic combustion is a critical area of research for advancing high-speed flight technologies, particularly for the development of scramjet engines for hypersonic vehicles. This study employs Finite Rate Chemistry (FRC) Large Eddy Simulation (LES) together with different experimental techniques to study the supersonic flow and thermochemical processes in the Small Scale Flight Experiment (SSFE

Improving neural network efficiency with multifidelity and dimensionality reduction techniques

Design problems in aerospace engineering often require numerous evaluations of expensive-to-evaluate high-fidelity models, resulting in prohibitive computational costs. One way to address the computational cost is through building surrogates, such as deep neural networks (DNNs). However, DNNs may only be an effective surrogate when sufficient evaluations of the high-fidelity model are required suc