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Here, we describe a detailed step-by-step protocol to detect SARS-CoV-2 RNA using RT-PCR-mediated amplification and CRISPR/Cas-based visualization. The optimized assay uses basic molecular biology equipment such as conventional thermocyclers and transilluminators for qualitative detection. Alternatively, a fluorescence plate reader can be used for quantitative measurements. The protocol detects tw
The multi-zone modelling concept could be a good alternative to two-zone modelling and CFD modelling for some situations when performing fire safety designs. However, few such models exist, and the evaluation of the concept is scarce. This paper is dedicated to study the multi-zone modelling concept and its usefulness in fire safety engineering by benchmarking it against experimental data and simu
This thesis work concerns studies of two rare-earth-ions, praseodymium (Pr3+) and europium (Eu3+), doped into a yttrium orthosilicate (Y2SiO5) crystal for applications in quantum computing. The nuclear spin levels of these ions can have very long coherence times, up to several hours. Coherence can also be effectively transferred between the optical and hyperfine levels. These systems, therefore, h
BACKGROUND AND PURPOSE: Myeloablative Total Body Irradiation (TBI) is an important modality in conditioning for allogeneic hematopoietic stem cell transplantation (HSCT), especially in children with high-risk acute lymphoblastic leukemia (ALL). TBI practices are heterogeneous and institution-specific. Since TBI is associated with multiple late adverse effects, recommendations may help to standardi
Background: Eating disorders (ED) are severe psychiatric conditions, characterized by decreased quality of life and high mortality. However, only a minority of patients with ED seek care and very few receive treatment. Internet-delivered cognitive behavioral therapy (ICBT) has the potential to increase access to evidence-based treatments. Aims: The aims of the present study were to (1) develop and
Excess azo dyes are detrimental to natural water systems and human health. To effectively treat dye wastewater, two-dimensional cylindrical electrodes were introduced into traditional biofilm reactor (BR), and thus a novel two-dimensional biofilm electrode reactor (2D-BER) was developed. In the 2D-BER, at low current density from 0.53 ± 0.05 mA m-2 to 12.61 ± 1.24 mA m-2, the electrostimulation in
Many animal behaviors require orientation and steering with respect to the environment. For insects, a key brain area involved in spatial orientation and navigation is the central complex. Activity in this neural circuit has been shown to track the insect’s current heading relative to its environment and has also been proposed to be the substrate of path inte-gration. However, it remains unclear h
Severe viral pneumonia is a significant cause of morbidity and mortality globally, whether due to outbreaks of endemic viruses, periodic viral epidemics, or the rarer but devastating global viral pandemics. While limited anti-viral therapies exist, there is a paucity of direct therapies to directly attenuate viral pneumonia-induced lung injury, and management therefore remains largely supportive.
The purpose of the EANM Dosimetry Committee is to provide recommendations and guidance to scientists and clinicians on patient-specific dosimetry. Radiopharmaceuticals labelled with lutetium-177 (177Lu) are increasingly used for therapeutic applications, in particular for the treatment of metastatic neuroendocrine tumours using ligands for somatostatin receptors and prostate adenocarcinoma with sm
The discovery of driver mutations is one of the key motivations for cancer genome sequencing. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancers across 38 tumour types, we describe DriverPower, a software package that uses mutational burden and functional impact evidence to identify driver mutation
Several governments recently adopted strategies to facilitate the development of artificial intelligence (AI), one of the reasons being the pursuit of sustainability – a claim with little scientific grounding so far. In this thesis, I strived to outline the scope of AI’s potentials by showing i) the limits of its theoretical and practical usefulness and ii) the political barriers to using it for s
The development of sports within the European Union (EU) has been blooming the latest century, especially in the football sector, which has been transformed into a multi-billion industry. The development of European football has attracted investors outside the EU into heavy investing in football clubs across Europe. This has enabled purchases of new talents and high profile players for astronomica
The aim is to develop a profound comprehension of what role knowledge plays in the process of integrating the internal knowledge within organizations with the external knowledge that can be found in the surrounding cluster initiatives. This research contains a qualitative case study which was developed by following an interpretative, abductive approach that granted the authors to work with theory
Increase of urbanization and climate change are one of the factors that have been highlighted to influence the change of urban runoff hydrograph. This is resulting in an increase in peak flow within an urban watershed. Downstream flooding is the main problem that arises. To solve this, the sustainable urban drainage system techniques are adopted for reducing peak flow and increase baseflow. This t
Increase of urbanization and climate change are one of the factors that have been highlighted to influence hydrography. This is resulting in an increase in peak flow within an urban watershed. Downstream flooding and increased pollution are the problems that arises. To solve this, the sustainable urban drainage system techniques are adopted for reducing peak flow and increase baseflow. This thesis
The goal of this Master's Thesis is to successfully detect and classify humans in a LiDAR data stream. The focus of the Thesis is on the detection and classification, not on the LiDAR technology. To classify humans machine learning was used and to train the machine learning model we collected our own data and annotated it. A custom software was made for speeding up the annotation process.
