The transformation of rainfall into runoff is one of the most important processes in hydrology. In the past few decades, a wide variety of automated or computer-based approaches have been applied to model this process. However, many such approaches have an important limitation in that they treat the rainfall-runoff process as a realization of only a few parameters of linear relationships rather th

A model based on the two‐dimensional stochastic advection‐diffusion equation is developed to forecast properties of individual rain cells in urban areas such as speed and spatial rainfall intensity. Two different modeling approaches are employed, and examples of the results are given. The first approach involves a Gaussian distribution as an analytic solution to the advection‐diffusion equation, w

Adaptive flyway management of superabundant geese is emerging as a strategy to reduce damage to agricultural crops and other ecosystem disservices, while also ensuring sustainable use and conservation objectives. Given the calls for intensified hunting as part of flyway management in Europe, we need to increase the understanding of structural, situational, and psychological factors important for g

This chapter argues for the importance of developing historical reference frames for Scandinavian children born to foreign fighters in the so-called Islamic State (IS)—that is, seeing them as children born of war (CBOW) rather than as “IS children”—to strengthen the case for their repatriation from Kurdish detention camps. Politicians across the region today stress they want to repatriate the chil

Postmastectomy radiotherapy (PMRT) following immediate breast reconstruction (IBR) is associated with postoperative complications. Although the incidence of node-positive breast cancer is declining, a separate sentinel lymph node biopsy (SLNB) is still performed before mastectomy when IBR is planned, in order to evaluate nodal status and the need for PMRT. This study assessed the impact of staged

Real-time prediction of train arrivals is important for proactive traffic control and information provision in passenger rails. Despite many studies in predicting arrival times or delays at stations, they are essentially the next-step time series prediction problem which may limit their applications in practice. For example, passengers on the trains or waiting on platforms may have different desti

Purpose: In all patients with cardiac implantable electronic devices (CIED) and Enterococcus faecalis bacteremia (EfsB), endocarditis (IE) and CIED infection should be suspected. Guidelines recommend extraction of the CIED when CIED infection or IE is diagnosed. Whether extraction of the CIED should be done in other situations with EfsB is not known. We aimed to describe the management and outcome

Increasing the modal share of the single wagonload transport in Europe requires improving the reliability and predictability of freight trains running between the yards. In this paper, we propose a novel machine learning-assisted macro simulation framework to increase the predictability of yard departures and arrivals. Machine learning is applied through a random forest algorithm to implement a ya

This paper analyzes strategies that can be successfully pursued to implement measures to reduce car traffic in what has traditionally been a very car-centric planning praxis. Analytically, the paper use path dependency theory to provide an understanding of why certain types of measure are not implemented in cities on as widespread a basis as policy objectives may require, and to understand how tra

Background: Gambling within the world of gaming is an emerging phenomenon that may share common conceptual characteristics with traditional forms of gambling. The current literature suggests a higher degree of problematic behaviors in this gambling pattern, but studies are few, prompting for further research regarding individual characteristics and comorbid conditions associated with this activity

Background: In problem gambling, normative personalized feedback interventions have demonstrated promising effects. Given the widespread increase in online gambling in recent years, internet-delivered normative feedback may serve as a promising intervention. This study aimed to examine whether such an intervention, delivered by a gambling operator and aiming to help problem gamblers decrease their

As climate-related issues are important and concern all aspects of the built environment, there is a need to better understand the motives underlying household recycling behavior. The purpose of the present study is twofold: to investigate factors important for explaining the recycling behavior of young people and to explore respondents’ own ideas regarding barriers to recycling. This paper report

There is a knowledge gap about nurses’ use of social media in relation to and during the COVID-19 pandemic, which demands the upholding of a physical distance to other people, including patients and their relatives. The study aims to explore how nurses in the Scandinavian countries used social media for professional purposes in relation to the first 15 months of the COVID-19 pandemic. Qualitative,

Recreational hunting evokes emotions and could be described as a contested space. The paper presents a study of recreational hunting in Sweden, focusing on accounts and narratives from ethnographic interviews with hunting tourism operators. It discusses how the notion of sustainability permeates and frames moral accounts of hunting practices, game meat, wildlife management, business ethics, animal