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This paper proposes a high-precision self-sensing method for piezoelectric actuators using a hybrid neural network that integrates complex permittivity information. The proposed method addresses the limitations of conventional permittivity-based self-sensing, which typically exhibits approximately 1% remaining hysteresis. A knowledge-based polynomial model is first employed to capture the primary
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
Voice problems are common among workers in occupations with high demands on oral communication. For sustaining vocal health, it is important to find efficient ways for how to reduce strain on the voice at work, and one way to do so is optimizing the room acoustics for communication. However, to date we do not know enough about what kind of room acoustic conditions that support voice and speech mos
This paper introduces a novel dataset that serves as a prototype of what we call the ‘Job Ads Database’ (JADB). The underlying job advertisements are gathered from the Swedish digitalized newspaper corpus hosted by and made accessible through the Swedish National Library (Kungliga Biblioteket). JADB enables studying how the frequency and content of job advertisements change over time and sheds new
Wetting and dewetting dynamics in aqueous solutions containing amphiphilic compounds involve intricate interactions that influence contact angles and surface tension, with broad implications in materials science and biology. This study explores the dynamics of wetting and dewetting on glass surfaces in aqueous media containing the amphiphilic compound C18OE84, focusing on capillary rise behavior.
This paper examines forest-based bioeconomy innovation in Sweden between 1970 and 2021 to test central claims about innovation complexity, knowledge requirements, collaboration intensity, and industrial life cycle dynamics. Using a comprehensive database of 4,972 commercialized innovations, I identify 649 forest bioeconomy innovations and analyze their characteristics through logistic regression,
Summary Data on species' demography are essential to detect changes in population size, identify drivers of population change, motivate conservation plans, or evaluate the effectiveness of management. The Arctic Skua Stercorarius parasiticus is a seabird with a circumpolar distribution, which is listed as Endangered on the International Union for Conservation of Nature (IUCN) European Red List, al
Circulating levels of the astrocytic marker S100B have been associated with risk of neuropsychiatric or neurological disorders. However, reported effects have been inconsistent, and no causal relations have yet been established. We applied two-sample Mendelian Randomization (MR) on the association statistics from genome-wide association studies (GWAS) for circulating S100B levels measured 5-7 days
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
This work investigates the cryogenic performance of InAs-based vertical nanowire ferroelectric field-effect transistors (VNW-FeFETs) with hafnium zirconium oxide (HZO) as the ferroelectric gate dielectric. Measurements at 300 K and 14 K reveal a 25% increase in memory window, from 560 mV at room temperature to 700 mV at 14 K, indicating enhanced polarization stability at low temperatures while als
BACKGROUND: Obesity affects over 40% of US adults, with severe obesity on the rise. Despite recognition of obesity as a chronic disease, it remains underdiagnosed and undertreated. Access to evidence-based obesity treatment is limited, leading to increased obesity severity and related complications. Barriers to obesity treatment include socioeconomic disparities, limited clinician training, stigma
Contraction scour at bridges occurs when the flow cross section is reduced by the bridge structure. In this study, a model was developed to predict the equilibrium contraction scour depth at a bridge using readily available data. This approach can be applied to assess contraction scour on a catchment scale in the initial phase of a study. The model was validated using laboratory measurements, achi
Background and purpose: Stereotactic radiosurgery (SRS) requires high positional accuracy to safely deliver large doses. This study evaluated an integrated surface- and image-guided radiotherapy (SGRT-IGRT) system by analysing (1) the agreement between thermo-optical and stereoscopic X-ray positioning, and (2) the impact of intra-fractional workflows on treatment accuracy and time. Materials and m
Background: Stereotactic body radiotherapy (SBRT) is an established treatment for previously unirradiated spinal metastases; however, the literature is limited with respect to SBRT as a re-irradiation salvage therapy. We performed a systematic review and meta-analysis as basis for joint ESTRO-ISRS clinical practice recommendations of salvage SBRT for spinal metastases. Methods: A systematic review
Supercrystals of lead-halide perovskite nanocrystals combine the semiconducting properties of bulk perovskites with quantum confinement effects and extend them to the macroscopic scale. Supercrystals assembled via a two-layer phase diffusion process using an acetonitrile antisolvent were recently shown to be unusually robust. We investigate how the acetonitrile-assisted self-assembly process influ
Microplastics and nanoplastics (MNPs) are ubiquitous environmental pollutants with increasing implications for human health. While their presence in human tissues is established, the molecular mechanisms driving their potential neurotoxicity remain unclear. This study investigates the impact of polystyrene (PS) on amyloid protein misfolding and cellular metabolism using Optical Photothermal Infrar
