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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
We present a high-repetition rate, atttosecond light source, emitting controlled short trains of attosecond pulses. We apply this source to the study of photoionization of atoms using a 3D photoelectron/ion coincidence spectrometer.
Notwithstanding the wealth of research on migration and subjective wellbeing, the issue of moonlighting and its welfare implication among migrants has not been thoroughly explored in empirical literature. Using rich individual-level panel data from the University of Cape Town’s National Income Dynamics Study (NIDS), this study established a number of interesting findings: (a) there is moonlighting
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
Background: Drug repurposing provides a cost-effective approach to address the need for breast cancer prevention and therapeutics. We aimed to identify actionable druggable targets using Mendelian randomization (MR) and then validate the candidate drugs using population-based analyses. Methods: We identified genetic instruments for 1406 actionable targets of approved non-oncological drugs based on
COVID-19 was first identified in Wuhan City in December 2019 and spread throughout Hubei Province and other parts of China. After causing significant morbidity and mortality in China, by February 2020, it had spread to numerous other countries, infecting millions of people and causing a large number of deaths across the world. The COVID-19 pandemic put a burden on almost all areas of the world inc
In Sweden, there are roughly half a million single family houses that use electric heating for both domestic hot water production and space heating. Since electricity is the most expensive energy source in Sweden, it is interesting to install a high solar fraction solar thermal system to reduce the energy use in these houses. One of the most significant bottlenecks for deployment of solar heating
