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Predicted and user perceived heat strain using the ClimApp mobile tool for individualized alert and advice

Thermal models and indices integrated into a mobile application could provide relevant information regarding thermal stress and strain to the general public. The aim of the current paper is to validate such a mobile application, ClimApp, to the users needs in the heat. ClimApp combines weather data with personal user data, thermal models and indices to estimate the thermal strain of the user. The

Short-term outcomes following beyond total mesorectal excision and reconstruction using myocutaneous flaps : A retrospective cohort study

Introduction: Beyond total mesorectal excision (bTME) offers long-term survival in patients with advanced pelvic malignancy. At Skåne University Hospital (SUS) Malmö in Sweden, the vertical rectus abdominis musculocutaneous (VRAM) and gluteal maximus (GM) flap have been used for perineal reconstruction to promote healing and functional outcomes after significant tissue loss. This study aims to exa

The use of multi-zone modelling for tunnel fire risk analysis

Tunnel fire risk analysis are a useful tool to ensure adequate safety levels in tunnels. This report presents the work conducted to integrate a multi-zone modelling approach into a fire risk assessment tool, called ARTU. This work was performed to improve its fire modelling predictive capabilities compared to the currently adopted 1D fire modelling representation. This is deemed to allow for the u

Historical precedents and feasibility of rapid coal and gas decline required for the 1.5°C target

To limit global warming to 1.5°C, fossil fuel use must rapidly decline, but historical precedents for such large-scale transitions are lacking. Here we identify 147 historical episodes and policy pledges of fossil fuel decline in 105 countries and global regions between 1960 and 2018. We analyze 43 cases in larger systems most relevant to climate scenarios. One-half of 1.5°C-compatible scenarios e

Genetics of type 2 diabetes

Background: Type 2 diabetes (T2D) is a complex disorder that is affected by multiple genetic and environmental factors. Extensive efforts have been made to identify the disease-affecting genes to better understand the disease pathogenesis, find new targets for clinical therapy, and allow prediction of disease.Content: Our knowledge about the genes involved in disease pathogenesis has increased sub

Evaluation of grain boundary energy, structure and stiffness from phase field crystal simulations

A two-mode phase field crystal (PFC) model is employed to investigate the equilibrium configurations of a range of grain boundaries in fcc-structured materials. A total of 80 different symmetrical tilt grain boundaries are evaluated by PFC simulations in 3D and the results are shown to agree well with data taken from the literature, both regarding the variation of grain boundary energy and also in

Flexibilitet och kontroll: Hur ser användarna på smart laddning?

Elbilar kommer att spela en avgörande roll i omställningen till en fossilfri fordonsflotta. En förutsättning för att nå detta mål är dock att bilarna laddas med förnybar el och att laddningen sker smart för att inte överbelasta elnätet.Med hjälp av uppkopplad teknik och smarta tjänster, så kallad smart laddning, kan laddningen optimeras och bidra till ett mer flexibelt och stabilt elnät. Smart lad

The Making of Everyman’s Capitalism in Sweden : Micro-Infrastructures, Unlearning, and Moral Boundary Work

This article analyzes the so-called turn to the market in Sweden, with an emphasis on aspects that are typically absent from large-scale narratives. How did the changes known as neoliberalization and financialization enter everyday life and mundane financial practices? And which analytical tools can historians use to meaningfully connect the experience of changes on the micro level to those on the

Epithelioid hemangioendothelioma, an ultra-rare cancer : a consensus paper from the community of experts

Epithelioid hemangioendothelioma (EHE) is an ultra-rare, translocated, vascular sarcoma. EHE clinical behavior is variable, ranging from that of a low-grade malignancy to that of a high-grade sarcoma and it is marked by a high propensity for systemic involvement. No active systemic agents are currently approved specifically for EHE, which is typically refractory to the antitumor drugs used in sarc

Development of boosted machine learning models for estimating daily reference evapotranspiration and comparison with empirical approaches

Proper irrigation scheduling and agricultural water management require a precise estimation of crop water requirement. In practice, reference evapotranspiration (ETo) is firstly estimated, and used further to calculate the evapotranspiration of each crop. In this study, two new coupled models were developed for estimating daily ETo. Two optimization algorithms, the shuffled frog-leaping algorithm