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Characterization of airborne dust emissions from three types of crushed multi-walled carbon nanotube-enhanced concretes

Dispersing Multi-Walled Carbon Nanotubes (MWCNTs) into concrete at low (<1 wt% in cement) concentrations may improve concrete performance and properties and provide enhanced functionalities. When MWCNT-enhanced concrete is fragmented during remodelling or demolition, the stiff, fibrous and carcinogenic MWCNTs will, however, also be part of the respirable particulate matter released in the process.

Collective Permanent Supportive Housing: A Sustainable Route to Dignity or Institutionalized Ageism?

Older people make up an increasing proportion of the homeless population and their homelessness is often combined with problems such as substance use, mental illness and physical problems. While much research has focused on short-term shelters, food and clothing, less is known about arrangement providing permanent supportive housing where older homeless adults can stay the rest of their lives. Thi

Pollinator presence in orchards depends on landscape-scale habitats more than in-field flower resources

Pollination is a critical ecosystem service given its essential role in sustaining food production, while pollinating insects are declining worldwide. Pollination capacity can be estimated through direct indicators characterising pollinator communities. Pollinators need feeding and nesting resources, so their presence can also be estimated through indirect indicators characterising these resources

Integrative Kinase Activity Profiling and Phosphoproteomics of rd10 Mouse Retina during cGMP-Dependent Retinal Degeneration

Inherited retinal degenerative diseases (IRDs) are a group of rare diseases that lead to a progressive loss of photoreceptor cells and, ultimately, blindness. The overactivation of cGMP-dependent protein kinase G (PKG), one of the key effectors of cGMP-signaling, was previously found to be involved in photoreceptor cell death and was studied in murine IRD models to elucidate the pathophysiology of

Resilient Cloud Control: Securing, Adapting, and Thriving

This thesis delves into integrating control systems into cloud environments, leading to the emergence of what is commonly referred to as cloud control systems (CCSs). These systems represent a paradigm shift, leveraging the cloud’s expansive storage and computing capabilities to optimize industrial operations. However, while promising in terms of efficiency and scalability, this transition introdu

Carbon uptake and water use in woodlands and forests in southern Australia during an extreme heat wave event in the "angry Summer" of 2012/2013

As a result of climate change warmer temperatures are projected through the 21st century and are already increasing above modelled predictions. Apart from increases in the mean, warm/hot temperature extremes are expected to become more prevalent in the future, along with an increase in the frequency of droughts. It is crucial to better understand the response of terrestrial ecosystems to such temp

Renewable gas in a Swedish context

In order to increase the use of sustainable energy in Sweden, it is necessary to substitute fossil energy carriers with renewable counterparts. Synthetic natural gas (SNG) produced from renewable resources via biomass gasification and methanation could replace a proportion of the natural gas used in Sweden. In order to facilitate the implementation and expansion of SNG production and use in Sweden

Hemodynamic forces using four-dimensional flow MRI : An independent biomarker of cardiac function in heart failure with left ventricular dyssynchrony?

Patients with heart failure with left ventricular (LV) dyssynchrony often do not respond to cardiac resynchronization therapy (CRT), indicating that the pathophysiology is insufficiently understood. Intracardiac hemodynamic forces computed from four-dimensional (4-D) flow MRI have been proposed as a new measure of cardiac function. We therefore aimed to investigate how hemodynamic forces are alter

Optical Diagnostics in Energy Conversion Processes

This thesis presents development in optical diagnostics for studies of energy conversion processes. Work has been done in characterization of electrode wear in spark plugs, multi-species high-speed tomographic laser-induced fluorescence, high-speed diagnostics in lab-scale gas turbine burners, and surface temperature measurements on gas turbine burner injection nozzles.A new method of monitoring e

Vestibular rehabilitation in Europe : a survey of clinical and research practice

Vestibular rehabilitation (VR) is practiced across Europe but little in this area has been quantified. The aim of this study was to investigate current VR assessment, treatment, education, and research practices. This was an online, cross-sectional survey with 39 VR specific questions and four sections: demographics, current practice, education, and research. The survey was disseminated through th

Analysis of mammograms using artificial intelligence to predict response to neoadjuvant chemotherapy in breast cancer patients : proof of concept

Objectives: In this proof of concept study, a deep learning–based method for automatic analysis of digital mammograms (DM) as a tool to aid in assessment of neoadjuvant chemotherapy (NACT) treatment response in breast cancer (BC) was examined. Methods: Baseline DM from 453 patients receiving NACT between 2005 and 2019 were included in the study cohort. A deep learning system, using the aforementio

Improving neonatal survival in East Africa Analysis of maternal service utilization, effectiveness of care and risk factors for neonatal mortality in Kenya, Uganda, and Tanzania.

Despite profound progress made in reducing neonatal mortality, it remains one of the major global health challenges. In 2019, the World Health Organization estimated that 2.4 million neonatal deaths occurred, accounting for over 45 percent of under-5 deaths worldwide. Most of these neonatal mortalities occur in low-and middle-income (LMIC) with East African countries of Kenya, Uganda and Tanzania

Statistical Disease Progression Modeling in Alzheimer Disease

Background: The characterizing symptom of Alzheimer disease (AD) is cognitive deterioration. While much recent work has focused on defining AD as a biological construct, most patients are still diagnosed, staged, and treated based on their cognitive symptoms. But the cognitive capability of a patient at any time throughout this deterioration reflects not only the disease state, but also the effect

Global transpiration data from sap flow measurements : The SAPFLUXNET database

Plant transpiration links physiological responses of vegetation to water supply and demand with hydrological, energy, and carbon budgets at the land-atmosphere interface. However, despite being the main land evaporative flux at the global scale, transpiration and its response to environmental drivers are currently not well constrained by observations. Here we introduce the first global compilation

Improving the Health of Individuals With Cerebral Palsy : Protocol for the Multidisciplinary Research Program MOVING ON WITH CP

BACKGROUND: Cerebral palsy (CP) is one of the most common early onset disabilities globally. The causative brain damage in CP is nonprogressive, yet secondary conditions develop and worsen over time. Individuals with CP in Sweden and most of the Nordic countries are systematically followed in the national registry and follow-up program entitled the Cerebral Palsy Follow-Up Program (CPUP). CPUP has

Prenatal exposure to air pollution as a potential risk factor for autism and ADHD

Genetic and environmental factors both contribute to the development of Autism Spectrum Disorder (ASD) and Attention-Deficit/Hyperactivity Disorder (ADHD). One suggested environmental risk factor for ASD and ADHD is air pollution, but knowledge of its effects, especially in low-exposure areas, are limited. Here, we investigate risks for ASD and ADHD associated with prenatal exposure to air polluti