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We propose a formulation of the Network Design Problem (NDP) to support transport planners in dealing with multimodal networks in contexts characterised by different (and sometimes conflicting) interests and limited resources in a transparent way. We expect that the implementation of the method can increase the acceptability of transport schemes. The proposed formulation expands the scope of tradi
Vision impairment increases risks such as social isolation, mobility challenges, and falls. Wearable Augmented Reality (AR) devices with Artificial Intelligence (AI) can enhance sensory perception by enabling real-time recognition of obstacles, assisting visually impaired individuals during street navigation, aiming to reduce the risk of falls. In this paper, we propose a Federated Learning (FL) f
We study attitudes toward offering monetary payments for vaccination. We develop the Policy Lab, an experimental paradigm to characterize policy preferences in which participants decide whether to implement actual interventions to influence others' real-world behavior. In two studies with representative samples of the Swedish population (N=2,010) and one with Swedish policymakers (N=2,008), partic
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
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
Adenovirus-based (Ad) vectors are used widely for experimental gene transfer to the CNS. Ad transduce many cell types including postmitotic neurons. However, their use for, CNS gene transfer is limited due to the host immune response elicited. Furthermore, the extensive distribution of the primary cellular receptor for Ad, the coxsackievirus and adenovirus receptor (CAR), allows adenoviral vectors
Background: Noise is typically conceived of as being detrimental to cognitive performance. However, given the mechanism of stochastic resonance, a certain amount of noise can benefit performance. We investigate cognitive performance in noisy environments in relation to a neurocomputational model of attention deficit hyperactivity disorder (ADHD) and dopamine. The Moderate Brain Arousal model (MBA;
Impinging flame jets are widely used in applications where high heat-transfer rates are needed, for instance in the glass industry. During the heating process of glass products, internal thermal stresses develop in the material due to temperature gradients. In order to avoid excessive thermal gradients as well as overheating of the hot spots, it is important to know and control the temperature dist
A selective and sensitive method is presented for biogenic amines (BA) determination. The novelty consists in coupling a highly selective electrochemical biosensor to a weak acid cation-exchange column for online detection of amines. A bienzyme design, based on a recently isolated amine oxidase from grass pea and commercial horseradish peroxidase, was used for the biosensor construction. The enzym
Our purpose is to find factors that are important for expected returns and risk of Swedish industrial portfolios during 1980–1997. The tested factors are supposed to be essential for a small open economy. We take into account the small sample problem that surfaces in the form of firms dominating the value weighted test portfolios. An extreme bound analysis (EBA) investigates the robustness of the
Evaluation schemes, e.g., least-squares fitting, are not generally applicable to any types of experiments. If the evaluation schemes were not derived from a measurement model that properly described the experiment to be evaluated, poorer precision or accuracy than attainable from the measured data could result.. We outline ways in which statistical data evaluation schemes should be derived for all
Uniform circular arrays (UCAs) are naturally suited to provide 360 degrees of coverage in the azimuthal plane. In this paper, we describe a new approach for synthesizing array patterns with guaranteed maximum sidelobe levels for any look direction. The advantage of this approach is that it is computationally efficient which makes it eminently suitable for real-time beamforming and beamsteering app
Theoretical considerations of eye design allow us to find routes along which the optical structures of eyes may have evolved. If selection constantly favours an increase in the amount of detectable spatial information, a light-sensitive patch will gradually turn into a focused lens eye through continuous small improvements of design. An upper limit for the number of generations required for the co
