Syftet med denna licentiatavhandling är att bidra till en ökad förståelse för hurräddningstjänsten kan förbättra sin förmåga att lösa komplexa problem vidstorskaliga olyckshändelser. Större olyckor är ofta komplexa och dynamiskahändelser som kännetecknas av en hög grad av osäkerhet, oförutsägbarhet ochtvetydighet. Under sådana förhållanden utmanas räddningstjänstens förmåga att lösa de olika och mGlobal trends suggest an increasing level of uncertainty regarding potential risks faced by individuals, organizations, or society as a whole. These trends are likely to alter the risk landscape, necessitating the enhancement of societal capabilities to effectively address emerging risks. Among the key actors dealing with such changes is the Fire and Rescue Service (FRS). However, these challenges

Children's time investments in various activities may be important for reducing socioeconomic status (SES) gaps in educational and mental health outcomes. Using detailed time use diaries of Australian children aged 4–14, we observe that children from low SES backgrounds spend more time on digital media and less time on out-of-school enrichment activities, organised or for leisure. We explain the S

This chapter aims to be a broad introduction for embedded systems professionals that wish to add machine learning to traditional embedded software. It briefly describes the foundation for a stable and secure IoT communication platform, touching on important areas such as the MQTT protocol and data extraction. The discussion is based on a case study for a digitalized marine vessel, and focuses on gThis chapter aims to be a broad introduction for embedded systems professionals that wish to add machine learning to traditional embedded software. It briefly describes the foundation for a stable and secure IoT communication platform, touching on important areas such as the MQTT protocol and data extraction. The discussion is based on a case study for a digitalized marine vessel, and focuses on g

Decisions made by millions of refugees about where to go, how to make a living and how to secure a future are fundamental drivers of secondary movements. While a substantial body of literature addresses factors contributing to migrants’ decision-making, a comprehensive understanding of the central role of refugees in secondary mobility decision-making, including agency and strategies employed, rem

Across the scholarly and journalistic literature, an increasing sense of future uncertainty and prevailing sense of dread is being narrated. This unsettling sense of futurelessness seems to cut across scales in that globally unfolding menaces also shape lived experience locally in specific sites, where global risks intersect with local hazardousness of place. In this chapter, we reflect on how a s

Utsläpp från avloppsreningsverk påverkar våra sjöar och hav negativt och allt högre krav ställs på reningsprocesserna på avloppsreningsverken. Nya utsläppskrav kommer att presenteras i Avloppsdirektivet från EU under 2024 och kommer att vara vägledande för de utsläppskrav som finns på de svenska avloppsreningsverken. Strängare utsläppskrav för kväve och fosfor tvingar reningsverken att optimera siEmissions from wastewater treatment plants affect our lakes and seas negatively. Higher demands are therefore placed on the purification processes at the wastewater treatment plants. New emission requirements will be presented in the Wastewater Directive from the EU in 2024 and will be a guide for the emission requirements that exist for the Swedish wastewater treatment plants. Stricter emission r

Spark-ignition (SI) aviation piston engines are widely used on light helicopters and unmanned aerial vehicles (UAVs) because of the high-power density and ultra-high cost performance. Kerosene with high flash point is expected to improve safety of aforementioned aircrafts by replacing gasoline. However, in spark-ignition mode, kerosene is difficult to mix and is easy to knock. Short-chain alcohols

Methods for soil water conditions assessment are often highly localized or data demanding. In this study we propose a new scalable approach to assess soil water conditions. The main goal is to test whether the approach can be used to provide information about local conditions, without the need of extensive data sets. The approach utilizes a combination of normalized topography derived from the HAN

The differentiation of human pluripotent stem cells into ventral mesencephalic dopaminergic (DA) fate is relevant for the treatment of Parkinson's disease. Shortcuts to obtaining DA cells through direct reprogramming often include forced expression of the transcription factor LMX1A. Although reprogramming with LMX1A can generate tyrosine hydroxylase (TH)-positive cells, their regional identity rem

Objectives: Variation exists in the capabilities of electronic healthcare records (EHRs) systems and the frequency of their use by primary care physicians (PCPs) from different settings. We aimed to examine the factors associated with everyday EHRs use by PCPs, characterise the EHRs features available to PCPs, and to identify the impact of practice settings on feature availability. Study design: C

This paper presents an experimental study on the joint effects of concurrent airflow and sample width on the steady flame spread behaviors. Flame spread parameters, including flame height, preheating length, heat flux distribution, flame spread rate (FSR) and pyrolysis length, were measured and analyzed comprehensively. Results show that the FSR and pyrolysis length increase with sample width and

This study utilizes data from 2000 to 2024 together with an EGARCH approach to model the volatility of two indices, the S&P 500 and the S&P 500 Property and Casualty Insurance Sub Industry Index. Which in this paper acts as proxies for the stock market and the property and casualty insurance industry in the US respectively. Data from The Emergency Events Database is used to incorporate dis

This study investigates the relationship between insider trading activities and share repurchase announcements in the Swedish market. While buybacks and insider trading have been individually studied, their interaction remains underexplored. This research fills the gap by analysing insider trading patterns before buyback announcements and examining the impact on post-announcement market returns. T

The empirical analysis conducted in this study explores the determinants of leverage thus capital structure formation in the European banking sector from 2012 to 2023. Utilizing a panel data regression methodology, we analyze relationships among key financial factors and apply the theory of capital structure to the results presented, accounting for regulatory constraints. Our findings underscore t

This thesis investigates the impact that ESG-ratings have on valuation uncertainty. Because of the increased importance of sustainable investing, understanding the potential effect of a sustainability metric like ESG-ratings becomes increasingly important. This thesis uses an accounting-based valuation model to determine the valuation uncertainty. Using data from multiple ESG rating agencies a new

In the face of intense market competition, businesses often engage in M&A activities to rapidly enlarge their market penetration to strengthen their industry position, thereby gaining a competitive advantage and facilitating economies of scale, reducing per-unit costs of production and management. Through M&A activities, companies can share resources such as production facilities, research

The phenomenon of green inside activism (GIA) is experiencing increasing interest, both in the academic world and in the public debate. GIA is a theoretical concept intended to capture the political agency of public officials who are ideologically committed to green values and work to promote them from within an agency. This article examines the economic implications of GIA from a public choice pe

Remote sensing (RS) data provide large-scale observations to measure water quality parameters (WQPs) like turbidity (Turb), which indicates the haziness of the water. Accurately estimating these parameters solely from RS data is inherently complex due to various factors, necessitating the use of advanced models capable of capturing the intricate relationships between RS spectral bands as an input