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Degradation of 75 organic micropollutants in fresh human urine and water by UV advanced oxidation process
In household wastewater, a large proportion of organic micropollutants (OMPs) load is attributed to human urine. OMPs could pose a risk to human and environmental health when urine collected in source-separating sanitation systems is recycled as crop fertiliser. This study evaluated degradation of 75 OMPs in human urine treated by a UV-based advanced oxidation process. Fresh urine and water sample
Robust probabilistic modelling of mould growth in building envelopes using random forests machine learning algorithm
Probabilistic methods can be used to account for uncertainties in hygrothermal analysis of building envelopes. This paper presents methods for robust mould reliability analysis and identification of critical parameters. Mould indices are calculated by probabilistic hygrothermal analysis, followed by the application of the "Finnish mould growth model." To increase the robustness of the mould growth
The Amit–Ashurst conjecture for finite metacyclic p-groups
The Amit conjecture about word maps on finite nilpotent groups has been shown to hold for certain classes of groups. The generalised Amit conjecture says that the probability of an element occurring in the image of a word map on a finite nilpotent group G is either 0, or at least 1/|G|. Noting the work of Ashurst, we name the generalised Amit conjecture the Amit–Ashurst conjecture and show that th
Orthodox Christianity and the Covid-19 Pandemic
This book probes into the dynamics between Orthodox Christianity and the COVID-19 pandemic, unraveling a profound transformation at institutional and grassroots levels. Employing a multidisciplinary approach, and drawing upon varied data sources, including surveys, digital ethnography, and process tracing, it presents unprecedented insights into church-state relations, religious practices, and the
A machine learning based approach for predicting usage efficiency of shared e-scooters using vehicle availability data
Shared electric scooters (e-scooters) have been rapidly growing in popularity across Europe over the past three years, which can bring various environmental and socioeconomic benefits. However, how to further improve the usage efficiency of shared e-scooters is still a major concern for micro-mobility operators and city planners. This paper proposes a machine learning based approach to predict the
Från Tråd till (R)åd. En kvalitativ studie om informationens roll i studenters cirkulära klädkonsumtion
Narrative analysis about mental health in children
Nowadays it is becoming more and more common for children, young and older, to have some type of mental health problems, but the question is how does this affect the person's life? The purpose of this paper is to get a more specific understanding of mental health problems regarding children. The paper aims to show how mental health affects children, after a diagnosis and/or a turning point in
Challenges Facing Components Reuse in Industrialized Housing : A literature review
Concerns over the earth’s ability to sustain itself over the long term as a consequence of human consumption of natural resources points towards sustainable development. Since a large proportion of human consumption is linked to buildings and construction, this means managing the construction process in more sustainable ways. Strategies that target greater material efficiency and which promote cir
Between pace-making and pace-taking : Urban cycle logistics in an ‘accelerated polity’
The purpose of this study is to explore the concept of social acceleration by examining how cities are trying to speed up, maintain or slow down the pace of societal change. Through studies of cycle logistics policies and actions in cities in Denmark, Norway, the UK, the Netherlands, and Germany, we show how these balance between acting as pace-makers and pace-takers, as well as what the consequenThe purpose of this study is to explore the concept of social acceleration by examining how cities are trying tospeed up, maintain or slow down the pace of societal change. Through studies of cycle logistics policies andactions in cities in Denmark, Norway, the UK, the Netherlands, and Germany, we show how these balance be-tween acting as pace-makers and pace-takers, as well as what the consequenc
Survival in Swedish patients with systemic sclerosis : A nationwide population-based matched cohort study
Objectives: To conduct the first-ever nationwide, population-based cohort study investigating survival patterns of all patients with incident SSc in Sweden compared with matched individuals from the Swedish general population. Methods: We used the National Patient Register to identify patients with incident SSc diagnosed between 2004 and 2015 and the Total Population Register to identify comparato
recension av Tobias Osvald, Stadens gränsplatser. Kungliga Poliskammaren och vardagens omstridda rum i Stockholm, 1776-1835
Assessment and differential diagnosis in Childhood Apraxia of Speech
Circular business model innovation : A guidebook for practitioners
The purpose of this booklet is to offer easy-to-use guidelines for businesses to design and implement circularity strategies into their business model. Specifically, the booklet will provide step-by-step guidance on how to ideate, design, test, and scale novel circular business models. For each stage of this circular business model innovation (CBMI) process a selection of tools and methods will be
An exploration into the use of Hansen solubility parameters for modelling reversed-phase chromatographic separations
The suitability of Hansen solubility parameters as descriptors for modelling analyte retention during reversed-phase chromatographic experiments was investigated. A novel theoretical model using Hansen solubility parameters as the basis for a complete mathematical derivation of the model was developed. The theoretical model also includes the cavitation volumes of the analytes, which were calculate
Towards an accurate method for column void volume determination using liquid chromatography-mass spectrometry
Prediction of analyte retention times requires prior knowledge of the column void volume, the measurement of which is still highly contested within the literature and therefore experimental based prediction is often used. In this study, we investigated deuterated acetonitrile as an isotopically labelled mobile phase component to observe its elution behaviour in a binary mixture with water at 25 di
Inledning
A circularity indicator tool for measuring the ecological embeddedness of manufacturing
Circularity in manufacturing is critical to reducing raw material usage and waste. Ecological embeddedness examines circular relationships intended to benefit both economic actors and the natural environment. By understanding circular relationships in the value chain, manufacturers can formulate strategies that are eco-effective. This work develops and validates an original circularity tool to mea
Identifying and Predicting Cybersecurity Threats in Industry 4.0 Based on the Motivations Towards a Critical Infrastructure
Industry 4.0 (I4.0) is an emerging concept describing the business setting application of a broad set of digitalisation technologies, connectivity, and automation. The most common critical infrastructure (CI) uses Industrial Control Systems (ICS) for operation and supervisory control. However, the Supervisory Control and Data Acquisition (SCADA) and Internet of things (IoT) systems are examples of