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Patients admitted to intensive care after cardiac arrest are at risk of circulatory shock and early mortality due to cardiovascular failure. The aim of this study was to evaluate the ability of the veno-arterial pCO2 difference (∆pCO2; central venous CO2 – arterial CO2) and lactate to predict early mortality in postcardiac arrest patients. This was a pre-planned prospective observational sub-study
The device or the formulation? Which one governs drug dispersibility from the inhaler? To address this question, three budesonide-containing reservoir DPIs: Novopulmon Novolizer®, Giona Easyhaler® and DuoResp Spiromax®, were analyzed using the Next Generation Impactor, NGI. Thereafter, the devices were carefully opened, emptied, and formulations were switched between devices. Finally, three ‘proto
We study the long-time behavior of solutions to quasilinear doubly degenerate parabolic problems of fourth order. The equations model, for instance, the dynamic behavior of a non-Newtonian thin-film flow on a flat impermeable bottom and with zero contact angle. We consider a shear-rate dependent fluid the rheology of which is described by a constitutive power law or Ellis law for the fluid viscosi
The COVID-19 pandemic is a crisis that is "creeping" in its onset and "slow-burning" in its duration. It is characterized by extreme uncertainty, ambiguity, and complexity, presenting an unprecedented need for response across sectors and political-administrative levels. While there has been an explosion of research papers into the national strategies for handling the pandemic, empirical publicatio
In recent years, social work with migrants and ethnic minorities has developed as a field of research and practice. Further, it is recognised in the literature that the increased processes of human mobility in today’s societies have driven a growing focus on inclusive cities, especially in larger urban areas where ethnic diversity and cultural heterogeneity can be found alongside newly arrived mig
We construct a coarse-grained, structure-based, low-resolution, 6-bead flexible model of bovine serum albumin (BSA, PDB: 4F5S), which is a popular example of a globular protein in biophysical research. The model is obtained via direct Boltzmann inversion using all-atom simulations of a single molecule, and its particular form is selected from a large pool of 6-bead coarse-grained models using two
Despite the ubiquity of the Gaussian process regression model, few theoretical results are available that account for the fact that parameters of the covariance kernel typically need to be estimated from the data set. This article provides one of the first theoretical analyses in the context of Gaussian process regression with a noiseless data set. Specifically, we consider the scenario where the
Ecologists are now widely utilising video data to quantify the behaviours and interactions of animals in the wild. This process can be facilitated by collecting videos in stereo, which can provide information about animals' positions, movements and behaviours in three-dimensions (3D). However, there are no published designs that can collect underwater 3D stereo data at high spatial and temporal re
Energy efficiency in buildings remains an important priority for the European Union. Towards that direction, therole of the one-stop-shops (OSSs) that will offer integrated renovation services has been further enhanced. Thepaper aims to compare public and private-driven OSSs to increase knowledge regarding the way they operate.The business models of ten OSSs for renovation of residential buildings
INTRODUCTION: Recently, an increasing number of tau tracers have become available. There is a need to standardize quantitative tau measures across tracers, supporting a universal scale. We developed several cortical tau masks and applied them to generate a tau imaging universal scale. METHOD: One thousand forty-five participants underwent tau scans with either 18F-flortaucipir, 18F-MK6240, 18F-PI2
The incorporation of machine learning methods into proteomics workflows improves the identification of disease-relevant biomarkers and biological pathways. However, machine learning models, such as deep neural networks, typically suffer from lack of interpretability. Here, we present a deep learning approach to combine biological pathway analysis and biomarker identification to increase the interp
Glucagon-like peptide-1 (GLP-1) receptor agonists are established pharmaceutical therapies for the treatment of type 2 diabetes and obesity. They mimic the action of GLP-1 to reduce glucose levels through stimulation of insulin secretion and inhibition of glucagon secretion. They also reduce body weight by inducing satiety through central actions. The GLP-1 receptor agonists used clinically are ba
This article provides a critical literature review on the regional determinants of environmental innovation. The analysis of the relevant literature on supply-side factors, demand-side factors, and institutional factors reveals the importance of regional determinants in green technology development. Specifically, regional R&D collaborations, university-industry collaborations, and technologica
This thesis is composed of four papers, the first two show the attempts made to extend the Pythia event generator to simulate heavy-ion collision events. The other two papers show methods to improve the hadronization mechanism in the Pythia model for a bettter agreement with the experimental data of pp and heavy-ion collisions.Paper I introduces a new model named Angantyr for heavy-ion collision e
Solid oxide fuel cells (SOFCs) directly convert chemical energy to electricity with high electrical efficiency. It involves gas transport through the porous electrode to the three-phase boundaries (TPB). The tortuosity of gas transport relates the bulk diffusion of gas in free space to the effective diffusion coefficient of gas migrating through a porous material. Therefore, determining the tortuo
The industrialization of agriculture and efforts to maximize yields of commodity crops are major drivers of biodiversity loss and disruption of ecosystems balance. To become more sustainable, agriculture needs to be aligned with the delivery of multiple ecosystem services, and reduce its dependency on external inputs and its negative environmental impacts. Increasing crop diversity may be a key st
