Understanding how to modulate appetite in humans is key to developing successful weight loss interventions. Here, we showed that postprandial glucose dips 2–3 h after a meal are a better predictor of postprandial self-reported hunger and subsequent energy intake than peak glucose at 0–2 h and glucose incremental area under the blood glucose curve at 0–2 h. We explore the links among postprandial g

AIMS: Detecting changes in ventricular function after orthotopic heart transplantation (OHT) using transthoracic echocardiography (TTE) is important but interpretation of findings is complicated by lack of data on early graft adaptation. We sought to evaluate echocardiographic measures of ventricular size and function the first year following OHT including speckle tracking derived strain. We also

Background: Gastric bypass (GBP) is a surgical method with good evidence of sustainable weight loss, reduced obesity-related comorbidities, and improved health-related quality of life (HRQoL). However, long-term data post-GBP is scarce on HRQoL related to other factors than weight loss, such as impact of socio-economic, age, and gender. Aim: To investigate long-term HRQoL in GBP patients. Methods:

Many call for a broad approach to valuation of nature’s contribution to people, one that provides a contextualized understanding of what may be experienced as a value in different cultures, groups and settings. In the present paper we address contributions of nature to psychological well-being as realized through restorative processes during encounters with wildlife. Although restorative benefits

I denna studie görs en uppdaterad analys av den länsvisa tillgången på skogsbaserade rest- och biprodukter i form av grenar och toppas (grot) vid föryngringsavverkningar, bark från sågverk och massabruk, sågspån (och kutterspån) från sågverk samt lignin från svartlut i sulfatmassabruk som råvara för framtida produktion av biodrivmedel/bioflygbränsle. Analysen inkluderar också beräkningar av teoretThis study includes an updated analysis of the regional potential of forest-based residues and by-products in form of logging residues after final felling’s, bark in sawmills and pulp mills, sawdust in sawmills, and lignin from black liquor in pulp mills, as feedstocks for future production of biofuels and biojet fuels. The analysis also include calculations of theoretical transportation distances

Aims/hypothesis: Low birthweight is a risk factor for type 2 diabetes but it is unknown whether low birthweight is associated with distinct clinical characteristics at disease onset. We examined whether a lower or higher birthweight in type 2 diabetes is associated with clinically relevant characteristics at disease onset. Methods: Midwife records were traced for 6866 individuals with type 2 diabe

The extent to which increased liver fat content influences differences in circulating metabolites and/or lipids between low-birth-weight (LBW) individuals, at increased risk of type 2 diabetes (T2D), and normal-birth-weight (NBW) controls is unknown. The objective of the study was to perform untargeted serum metabolomics and lipidomics analyses in 26 healthy, non-obese early-middle-aged LBW men, i

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