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The FIRE21 Final Report examines problem-solving networks within Nordic Fire and Rescue Services (FRS) in Sweden, Norway, and Denmark, addressing challenges posed by climate change, technological advancements, and evolving risk landscapes. Through case studies, risk assessments, and theoretical analyses, the project identifies key organizational and individual qualities required for effective emer
In sub-Saharan Africa, more than a quarter of the urban population lives in small towns, with rapid lower level urbanisation being driven largely by lacking rural opportunities. A growing interest in translocality considers relationships that position livelihoods within multiple spatial contexts. Terms of inclusion in translocal relationships vary, and the socio-economic differentiation emerging o
Drawing on modelling of age at death in skeletal remains, this article unveils hitherto unrecognized demographic patterns in the Nordic Corded Ware complex. This population formed part of the European Corded Ware complex that has been linked to disruption observed in the archaeological and genetic record. The newly developed methods of transition analysis 3 (TA3) and death rate ratio (DRR) were usDrawing on modelling of age at death in skeletal remains, this article unveils hitherto unrecognized demographic patterns in the Nordic Corded Ware complex. This population formed part of the European Corded Ware complex that has been linked to disruption observed in the archaeological and genetic record. The newly developed methods of transition analysis 3 (TA3) and death rate ratio (DRR) were us
Deep neural networks tend to be vulnerable to adversarial perturbations, which by adding to a natural image can fool a respective model with high confidence. Recently, the existence of image-agnostic perturbations, also known as universal adversarial perturbations (UAPs), were discovered. However, existing UAPs still lack a sufficiently high fooling rate, when being applied to an unknown target mo
Recent advances in artificial intelligence have increased the importance of security issues. Nowadays, deep neural networks (DNNs) are used in many critical applications such as pilot drones and self-driving cars. So, the DNN's malfunction, due to an attack, may cause irreparable damages. The attack may happen either in training phase (poisoning attacks) or testing phase (evasion attacks) by prese
Susceptibility to adversarial examples is one of the major concerns in convolutional neural networks (CNNs) applications. Training the model with adversarial examples, known as adversarial training, is a common countermeasure to tackle such attacks. In reality, however, defenders are uninformed about how adversarial examples are generated by the attacker. Therefore, it is pivotal to utilize more g
Sensory interplay typically refers to cases where the content of one sensory modality affects the content of another sensory modality. Although there is much evidence today of such interplay, it is unknown how to interpret them. Is it a one-way causal function between two separate states (e.g., a visual process that influences an auditory process), a bidirectional relation between two separate sta
Understanding the aspects of progression for atherosclerotic cardiovascular disease and treatment is key to building reliable clinical decision-support systems. To promote system trust, one step is to make the machine learning models (used by the decision support systems) explainable for clinicians, developers, and researchers. Recently, working with longitudinal clinical trajectories using Graph
The revised biomarker framework for diagnosis and staging of Alzheimer's disease (AD) relies on amyloid beta (Aβ) and tau pathologies as core markers, and markers for adjacent pathophysiology, such as neurodegeneration and inflammation. Many of the core fluid biomarkers are phosphorylated tau (p-tau) fragments, with p-tau217 showing a prominent association with Aβ and tau. While positron emission
Accurate imputation is essential for the reliabilityand success of downstream tasks. Recently, diffusion models haveattracted great attention in this field. However, these models neglect the latent distribution in a lower-dimensional space derivedfrom the observed data, which limits the generative capacityof the diffusion model. Additionally, dealing with the originalmissing data without labels be
Objective: Despite the increasing number of fenestrated and branched endovascular aortic repair (F/B-EVAR) procedures, evidence on post-operative antiplatelet therapy is very limited. This study aimed to investigate the role of single antiplatelet therapy (SAPT) vs. double antiplatelet therapy (DAPT) after F/B-EVAR in 30 day and follow up outcomes. Methods: A multicentre retrospective analysis was
Importance: Breast cancer is one of the leading causes of negligence claims in radiology. The objective of this document is to describe the specific main causes of errors in breast imaging and provide European Society of Breast Imaging (EUSOBI) recommendations to try to minimize these. Observations: Technical failures represent 17% of all mammographic diagnostic negligence claims. Mammography qual
Bees are crucial for food security and biodiversity. However, managed bees are increasingly considered drivers of wild bee declines, leading to stakeholder conflicts and restrictive policies. We propose avenues to reconcile wild and managed bee proponents and point out knowledge gaps that hinder the development of evidence-based policies.
This paper addresses inclusive tourism in multicultural societies by exploring the domestic tourism experiences of first-generation Italian and Chinese immigrants in Sweden within the context of visiting friends and relatives (VFR) tourism practices and activities. Our results highlight the complex interplay of personal social networks and the hosts’ positionality on VFR experiences and tourism dy
Light-level geolocators were used to record the annual migration cycles of black terns Chlidonias niger (9 individuals, 11 journeys) and common terns Sterna hirundo (7 individuals, 11 journeys) breeding in southernmost Sweden. The black terns used two different non-breeding (Oct–Mar) regions along the Atlantic coast of Africa, either north of the equator between Senegal and Liberia (3 individuals)
When processing radar signals, the target steering vector is generally only partially known, being subject to various forms of errors and mismatches. In this article, we investigate the design of an unimodular transmit sequence that is robust against steering vector mismatches, with the aim of enhancing the performance of a frequency diverse array multiple-input-multiple-output (FDA-MIMO) radar sy
