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INTRODUCTION: Amyloid-induced tauopathy drives clinical decline in Alzheimer's disease (AD). Because age and sex shape tau trajectories, defining patient-centered amyloid thresholds for tauopathy onset could facilitate pre-tauopathy AD identification and aid treatment decisions and prognosis. METHODS: By including two samples (Alzheimer's Disease Neuroimaging Initiative [ADNI, n = 301]; and 18F-AV
In this paper, we investigate a Multi-layer Aerial system for GenAI inference at the Edge (MAGE). Therein, ground user equipments (UEs) request image synthesis services from a remote base station (BS) that leverages the Latent Diffusion Model (LDM) for image generation. Multiple Unmanned Aerial Vehicles (UAVs) are deployed to serve the UEs for relaying their images and prompts to the BS. To reduce
Motivation Machine learning offers a powerful approach for building predictive models from high-dimensional molecular data. Omics technologies such as transcriptomics, proteomics, and metabolomics quantify thousands of molecules simultaneously, providing deep insights into disease biology. Integrating multiple modalities can enhance predictive performance, as shown in histology-omics and holter-om
Epilepsy affects more than 50 million individuals worldwide, and approximately one-third of patients remain refractory to existing antiseizure medications. Advances in gene therapy and genome editing have opened new possibilities for disease-modifying interventions that directly target the molecular and circuit-level mechanisms underlying epileptogenesis. Recent progress in central nervous system
Integrating multi-modal patient data to support personalized medicine has gained a lot of interest across different health domains over the past decade. Addressing this challenge requires the development and implementation of an informed, evidence-based AI-driven decision-support system continuously maintained and updated to align with the latest clinical guidelines. A key challenge to ensure its
Implant-associated infections (IAIs) are one of the leading concerns in orthopedics and dentistry as they commonly lead to implant failure. The presence of biofilms and, increasingly frequently, drug-resistant bacteria further impairs the efficacy of conventional antibiotics. Immobilization of antimicrobial peptides (AMPs) on implant surfaces is a promising alternative to antibiotics for preventio
Large skeletal muscle injuries, such as a volumetric muscle loss (VML), often result in an incomplete regeneration due to the formation of a non-contractile fibrotic scar tissue. This is, in part, due to the outbreak of an inflammatory response, which is not resolved over time, meaning that type-1 macrophages (M1, pro-inflammatory) involved in the initial stages of the process are not replaced by
Ti-6Al-4V alloy obtained by powder metallurgy (PM) is a good candidate biomaterial in the manufacture of dental implants but its inherent porosity makes it have worse corrosion behavior than conventionally obtained alloys. In order to improve the corrosion and biological properties, surface modification technologies could be used. The plasma electrolytic oxidation (PEO) process is a novelty proces
A dislocation-based flow stress model is proposed to describe the behavior of Alloy 718 fabricated using laser-based and electron-beam powder bed fusion methods. This physics-based model is adaptive to microstructural variations including the size and volume fraction of γ″ precipitates, crystallographic texture, grain size and the density of immobile dislocations. Coupled with data from thermodyna
This invention is directed to a method for efficiently separating and purifying 13-dehydroxybaccatin III and 10-deacetylpaclitaxel with a high purity of 90% or higher purity, preferably 99.5% or higher purity, from taxane-containing materials such as Taxus species, and the thusly obtained highly pure 13-dehydroxybaccatin III and 10-deacetylpaclitaxel can be used as semi-synthetic precursors of pac
Electric scooters (e-scooters) have emerged as a fundamental component of urban micro-mobility, particularly in European cities during the Covid-19 pandemic. This study employs the Full Consistency Method (FUCOM) and Kendall rank correlation method to assess the preferences and priorities of university students in Catania, Italy, regarding e-scooter adoption. By analyzing influencing factors, this
Teams are dynamic systems that develop, adapt, and change as members interact and respond to their environments. Theory in organizational research emphasizes that team phenomena are multilevel, temporal, and often nonlinear. Yet, the statistical methods commonly used to study teams have lagged behind these theoretical advances, limiting empirical progress. This dissertation addresses this methodol
Despite several randomized controlled trials demonstrating the benefits of combination therapies for metastatic hormone-sensitive prostate cancer (mHSPC), a significant treatment gap persists. This initiative by the Prostate Cancer Foundation (PCF) convened stakeholders from academia, community practices, industry, and patient advocacy groups to address critical challenges in mHSPC care. Expert di
Information- and data literacy, the ability to critically examine and evaluate information and arguments in relation to empirical evidence, is increasingly crucial in a world overflowing with data and information from a multitude of sources. Information- and data literacy in younger students being understudied, we investigate these skills in Swedish 6th graders to learn more about the educational
Timber’s sustainability benefits make it an attractive construction material, but public concerns about fire safety remain a challenge. Many associate timber buildings with higher fire risks, particularly in taller structures, despite trusting regulations and professionals to ensure safety. This highlights a gap between public perception and technical knowledge. Designers have a professional respo
The rapid uptake of electric vehicles presents both opportunities and challenges for modern power systems. As charging demand increases, intelligent and data-driven approaches are essential to predict and manage future grid impacts. This paper presents a probabilistic and data-driven approach for generating realistic electric vehicle charging profiles, which can be integrated into probabilistic lo
The objective of this thesis is to investigate the feasibility of constructing temporary warehouse halls using glulam (glued laminated timber) frames, as well as to explore alternative solutions to PVC fabric for roofing and walls. The background is an increasing demand for temporary and flexible ware- house structures across several industries, along with a growing interest in environmentally fr
