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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
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
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
Background: Speech impairments are an early feature of Alzheimer’s disease (AD) and consequently, analysing speech performance is a promising new digital biomarker for AD screening. Future clinical AD trials on disease modifying drugs will require a shift to very early identification of individuals at risk of dementia. Hence, digital markers of language and speech may offer a method for screening
There is an increasing interest in understanding the atomic level formation of functional materials, e.g. through nucleation and growth from their precursors in solution or through chemically induced phase transitions. Such information is achievable though synchrotron-based in situ X-ray absorption spectroscopy (XAS) and total scattering (TS) experiments. In this study we present a new and versati
Aims: In the present study, we aimed to evaluate the performance of machine learning (ML) models for identification of acute myocardial infarction (AMI) or death within 30 days among emergency department (ED) chest pain patients. Methods and results: Using data from 9519 consecutive ED chest pain patients, we created ML models based on logistic regression or artificial neural networks. Model input
BACKGROUND AND AIM: Primary sclerosing cholangitis (PSC) is characterized by multiple strictures of the biliary tree. Patients with PSC frequently require repeated endoscopic retrograde cholangiopancreatography (ERCP) procedures. These procedures are encumbered by an increased incidence of infectious adverse events such as cholangitis. Evidence regarding whether antibiotic prophylaxis (AP) should
Water is an essential parameter for fungal degradation of wood, but degradation primarily occursat high moisture levels at water potential in the range of -4 to -0.1 MPa, which corresponds to 97-99.9% relative humidity. At these moisture levels, water is present in the wood structure both inand outside of cell walls. The majority of previous studies on the interaction between wood andwater for unt
IntroductionInjury prevention training is effective in reducing injuries in youth team sports, but public health impact is limited because such training is not widely, properly, or sustainably implemented. Insufficient involvement of end-users has been identified as a main barrier to implementation. Based on results from previous studies within the I-PROTECT project, the aim was to develop a full
Buildings Post Corona is a Swedish collaborative research project between Chalmers, KTH Royal Institute of Technology, Lund, and Umeå Universities. The project intends to provide knowledge related to designing, maintaining and operating sustainable buildings with a healthy and good indoor environment.The project aims to contribute to the knowledge and processes needed for the construction and real
We aimed to externally validate five previously published predictive models (Ng score, Triple D score, S3HoCKwave score, Kim nomogram, Niwa nomogram) for shock wave lithotripsy (SWL) single-session outcomes in patients with a solitary stone in the upper ureter. The validation cohort included patients treated with SWL from September 2011 to December 2019 at our institution. Patient-related variable
The thesis work concerns development and application of four versatile nonlinear optical techniques, based on exploiting ultrashort laser pulses, for diagnostic purposes in gases and flames. The four techniques, all laser-based, are two-photon laser-induced fluorescence (TPLIF), hybrid femtosecond/nanosecond (fs/ns) rotational coherent anti-Stokes Raman scattering (fs/ns RCARS), fs-laser-induced g
Home care nurses assist older people in their daily living and well-being, including medication management. Medication management can be challenging for older people with functional constraints and several chronic conditions. This paper presents how home care nurses manage medications and their packaging for older people at their homes. This study followed an explorative qualitative research desig
The potential risks of climate change on the built environment involve large uncertain-ties. This poses an intricate problem to designers and challenges a long-standing tradition of built infrastructure design. More specifically, designers are faced with this challenging question: how to rationally account for climate change risks when designing a new asset? A framework that holistically addresses
Recent progress in the field of human induced pluripotent stem cells (iPSCs) has led to the efficient production of human neuronal cell models for in vitro study. This has the potential to enable the understanding of live human cellular and network function which is otherwise not possible. However, a major challenge is the generation of reproducible neural networks together with the ability to int
Investigation of large populations of peteinoid acritarchs recovered from Middle Ordovician strata of the Hälludden and Horns Udde quarry sections (Öland, Sweden) allows for statistical analyses based on morphometric measurements. The results indicate the presence of assemblages with a continuous variability of morphotypes, thus a distinction of different peteinoid acritarch taxa in the sections p
