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BackgroundAlzheimer’s disease (AD) is the most common cause of dementia and a growing healthcare challenge. Amyloid-targeting therapies (ATT) may slow progression, but implementation is limited by logistical and economic barriers. As primary care is the first contact for most patients with cognitive concerns, quantifying treatment eligibility in this setting is essential. The purpose of this study
Engineering risk assessment has traditionally focused on direct impacts to individual assets or systems. However, as society's most notable risks increasingly stem from complex, interdependent systems, conventional methods fail to capture the cascading consequences and deepening uncertainty. Addressing this gap requires developing or extending assessment methods. To guide such development and alig
Wireless power transfer (WPT) is a promising service for the Internet of Things (IoT), providing a cost-effective and sustainable solution to deploy so-called energy-neutral devices on a massive scale. The power received at the device side from a conventional transmit antenna with a physically small aperture decays rapidly with the distance. New opportunities arise from the transition from convent
We study stochastic pairwise interaction network systems whereby a finite population of agents, identified with the nodes of a (directed) graph, update their states in response to both individual mutations and pairwise interactions with their neighbors. The considered class of systems includes the main epidemic models —such as the SIS, SIR, and SIRS models—, certain social dynamics models —such as
A growing empirical and theoretical literature has investigated to what extent socioeconomic inequalities are influenced by the outcomes and characteristics of ancestors prior to the parental generation. This paper contributes by examining multigenerational associations of earnings and occupational status in the entire Swedish population born 1968-1976, amounting to over 200,000 three-generation l
Synthesizing representative weather data sets that reflect both typical and extreme conditions is essential for reliable hygrothermal simulations, especially when considering future climates, which involve significant uncertainties. In this study, multiple representative weather data sets are generated using various methods, broadly categorized based on picking the representative months using vari
Purpose: The purpose of this in-depth interview study was to explore how parents of children with sensorineural hearing loss (SNHL) experienced genetic testing and whether they experienced risks and benefits. Background: Most children with SNHL have a genetic etiology, which can be identified through genetic sequencing. A genetic test does not influence treatment, and whether patients and parents
Photon counting computed tomography (PCCT) provides exceptional image quality with reduced radiation dose in temporal bone imaging and is emerging as a potential new gold standard. This study aims to assess the feasibility of an in-house micro-computed tomography (micro-CT) system equipped with Photon Counting Detector (PCD) technology and to compare it with a clinical PCCT scanner for temporal bo
The unquenchable thirst for bandwidth to support next-generation wireless systems is increasingly bringing D-band into the spotlight. This work proposes a scalable D-band patch antenna that features both coplanar and stacked parasitic patch structures. By leveraging inter-patch coupling, different coplanar parasitic elements are excited across different frequency bands, enabling multi-mode operati
We present a canonical series expansion for generalized harmonic functions in the open unit disc in the complex plane that generalizes that recently obtained for the class of (Formula presented.) -harmonic functions.
OBJECTIVE: Q-space trajectory imaging (QTI) enables detailed characterization of tissue microstructure. Achieving high spatial resolution is challenging due to low signal-to-noise ratio (SNR), particularly on clinical MRI systems with limited gradient capabilities and coil options. This study assessed the potential of denoising methods to improve the resolution of QTI in the brain on a radiotherap
Freshwater ecosystems in the central Andes provide critical ecosystem services (ES), including water purification, baseflow regulation, groundwater recharge, and cultural and recreational benefits. However, these high-mountain systems are increasingly threatened by changing land use, climate variability, and accelerating pressure on water resources. Understanding local willingness to pay for conse
The initial adhesion of bacterial cells to implant surfaces is a critical step in the development of biofilms, complex microbial communities that are highly resistant to conventional antimicrobial treatments. Once established, these biofilms and their self-produced extracellular matrix are difficult to eradicate. As a result, there is growing interest in engineering implant surfaces that can effec
A one-dimensional model of reactive sedimentation in wastewater treatment is formulated. The model combines three main elements: the Activated Sludge Model No. 1 (ASM1) for the reactive part, a secondary sedimentation tank (SST) with a variable cross-sectional area, and a description with percentages of the solid phase. The final form of the model is a system of partial differential equations of t
Spatial compositional data with exact zeros arise in many applicationsbut remain challenging for models that often assume strictly positivecomponents. We develop a Bayesian spatial model that combines theDirichlet Composition Distribution, which accommodates exact zeros throughcomponent-specific zero probabilities, with a Gaussian Markov random field representationof the latent compositional field
Circular economy (CE) policy has largely developed around product markets, where ecodesign, repairability requirements, and extended producer responsibility now form a substantial regulatory layer. In regulated energy infrastructure, where replacement decisions are shaped by depreciation schedules, regulatory review cycles, and procurement rules, these tools have made limited progress. This perspe
This paper presents a decision-analytic approach for evaluating risk reduction actions for structural systems under climate change. A decision-theoretic formulation is developed to quantify the value of actions, extended to address climate change scenario uncertainties. Scenario occurrence probabilities are derived from probabilistic effective radiative forcing exceedances to link climate model pr
