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The CORDEX Flagship Pilot Study ELVIC (climate Extremes in the Lake VICtoria basin) was recently established to investigate how extreme weather events will evolve in this region of the world and to provide improved information for the climate impact community. Here we assess the added value of the convection-permitting scale simulations on the representation of moist convective systems over and ar
Predictions of cloud droplet activation in the late summertime (September) central Arctic Ocean are made using κ-Kohler theory with novel observations of the aerosol chemical composition from a high-resolution time-of-flight chemical ionization mass spectrometer with a filter inlet for gases and aerosols (FIGAERO-CIMS) and an aerosol mass spectrometer (AMS), deployed during the Arctic Ocean 2018 e
Objectives Heat-stressed Mesoamerican workers, such as sugarcane cutters, suffer from high rates of chronic kidney disease of non-traditional origin (CKDnt). We aimed to identify easily available early markers of rapid kidney function decline in a population at high risk of CKDnt. Design The accuracy of different biomarkers measured during harvest for prediction of cross-harvest kidney function de
Flooding and wildfires are two common natural hazards in Sweden to which the Fire and Rescue Services (FRS) must be prepared to respond to. In light of potential increases in these hazards, the Extreme-Index project aims to develop such a multi-hazard tool for Sweden. In this paper, a modular multi-hazard framework is presented. The first module of the multi-hazard methodology that is developed an
Giant cell arteritis (GCA) that affects older patients is an independent risk factor for thromboembolic events. The objective of this study was to identify predictive factors for thromboembolic events in patients with GCA and develop quantitative predictive tools (prognostic nomograms) for pulmonary embolism (PE) and deep venous thrombosis (DVT). A total of 13,029 patients with a GCA diagnosis wer
Bio-based and patient-specific three-dimensional (3D) scaffolds can present next generation strategies for bone tissue engineering (BTE) to treat critical bone size defects. In the present study, a composite filament of poly lactic acid (PLA) and 45S5 bioglass (BG) were used to 3D print scaffolds intended for bone tissue regeneration. The thermally induced phase separation (TIPS) technique was use
The time dependence of ice-nucleating particle (INP) activity is known to exist, yet for simplicity it is often omitted in atmospheric models as an approximation. Hitherto, only limited experimental work has been done to quantify this time dependency, for which published data are especially scarce regarding ambient aerosol samples and longer timescales. In this study, the time dependence of INP ac
In this study, an algae biomass gasification process using a dual fluidized bed with combined power and methanol cogeneration was developed. The gasification process was modeled using Aspen Plus and validated using experimental data of two microalgae species (Nannochloropsis oculata and Dunaliella salina) commonly found on the western coast of Saudi Arabia. The impacts of different operating condi
Shaw’s Pygmalion is commonly thought of as an adaptation of the myth of Pygmalion, the sculptor who fell in love with his own sculpture. However, the name of “Pygmalion” in ancient mythology is shared by Dido’s brother, Pygmalion of Tyre. This article suggests Pygmalion as playing with these two mythological Pygmalions by moving through the play from the myth of Pygmalion the Cypriot sculptor to t
Carbohydrate active enzymes are valuable tools in cereal processing to valorise underutilized side streams. By solubilizing hemicellulose and modifying the fibre structure, novel food products with increased nutritional value can be created. In this study, a novel GH5_34 subfamily arabinoxylanase from Herbinix hemicellulosilytica, HhXyn5A, was identified, produced and extensively characterize
Deep convolutional neural networks (DCNN) achieve very high accuracy in segmenting various anatomical structures in medical images but often suffer from relatively poor generalizability. Multi-atlas segmentation (MAS), while less accurate than DCNN in many applications, tends to generalize well to unseen datasets with different characteristics from the training dataset. Several groups have attempt
Reclassification of bridges, i.e., a change in load rating, using reliability-based methods and a direct update with proof load information has been presented by many authors. However, bridge reclassification has hardly been studied from a decision analytic perspective, i.e., with quantification of the risks and benefits of different classification choices, and the expected benefit gain from proof
This paper presents a production study investigating the frequency of utterance-final rises in South Swedish. These rises are interesting from a dialect typological perspective. Recent findings suggest that South Swedish has two-peak accents utterance medially, whereas previous typologies have assumed only one-peak accents for South Swedish dialects. The South Swedish two-peak accents are similar
Optically pure lactic acid (LA) is important for the development of specialized applications for poly-lactic acid (PLA). To pursue sustainable production, feedstocks such as lignocellulosic biomass need to be investigated. The present study focused on the production of L-LA from softwood hydrolysate with Pediococcus acidilactici TY112. One of the challenges when using this substrate is the presenc
