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Tool-based code review has been an established software engineering practice for at least a decade. However, while software development environments have improved significantly during this time with advanced features for code comprehension, refactoring, and AI support, code review tools have remained more static and are still centered around a two-way textual diff view with features similar to whe
A debated feature of civil society leadership is the (lack of) diversity among leaders. Another concern is the recruitment of leaders from the public and private sector. In this study we link these debates, analysing how civil society elite boundary crossing – that is, leaders from public and private sectors moving into elite positions in civil society – contributes to making the group of civil so
Accurate prediction of crack growth and strength in glued timber joints and components can be achieved by using cohesive laws in constitutive models. These laws represent the traction-separation relationship that measures the stress transmitted between crack faces in a cohesive zone, and can be obtained directly from experiments. However, studies on measuring the cohesive laws of wood adhesive bon
The paper provides an overview and preliminary results from ongoing research with the aim to evolve cross-laminated timber (CLT) into the next generation of Tailored Laminated Timber (TLT). This is done by exploring innovative concepts that optimize the mechanical performance, while simultaneously ensuring adherence to circular economy principles. The current study aims at investigating the potent
In previous years, substantial research has focused on walkability, primarily examining how the built environment affects walking behavior. However, these studies have predominantly defined walkability through physical and social factors, with limited exploration of its spatial dimension. This article seeks to address this gap by examining the spatiality of walkability through Lefebvre’s spatial tIn previous years, substantial research has focused on walkability, primarily examining how the built environment affects walking behavior. However, these studies have predominantly defined walkability through physical and social factors, with limited exploration of its spatial dimension. This article seeks to address this gap by examining the spatiality of walkability through Lefebvre’s spatial t
Groundwater hydraulics and aquifer processes are largely investigated using techniques that involve some kind of borehole test pumping. Such techniques are well established in the engineering and scientific community but are resource demanding. Time series analysis offer a collection of alternative methods that can be used to evaluate groundwater processes like recharge by using natural groundwate
Recording and analysing groundwater level data can reveal the nature and extension of groundwater processes like flow direction and recharge magnitude. The analyses can even indicate the influence of precipitation, evapotranspiration and runoff on the subsurface processes. However, such analyses are only possible when the recorded data cover relatively large periods of time at a suitable frequency
This study investigates the perception and understanding of climate-related risks among six energy-intensive and natural resource-based industry (ENRI) sectors using data from the CDP survey from 2020 to 2023. ENRI sectors, including fossil fuels; cement and concrete; chemicals; metallic smelting; refining; and forming; metallic mineral mining; and pulp and paper mills, are exposed to significant
The standard of proof at the International Court of Justice (ICJ) is a central, yet underexplored, aspect of its judicial decision-making. Although central in shaping both fact-establishment and judicial outcomes, the articulation and application of the standard of proof by the Court are marked by inconsistency and a lack of transparent justification. This inconsistency is often linked to an assumThe standard of proof at the International Court of Justice (ICJ) is a central, yet underexplored, aspect of its judicial decision-making. Although central in shaping both fact-establishment and judicial outcomes, the articulation and application of the standard of proof by the Court are marked by inconsistency and a lack of transparent justification. This inconsistency is often linked to an assum
The literature on ownership in healthcare lacks evidence from the primary care sector, where the traditional small-scale business model is increasingly complemented by larger practices owned by corporations or the government. We explore the role of ownership in primary care in relation to a core theme in health economics — the balance between fee-for-service and capitation remuneration. We study h
The cell is the fundamental unit of life and in multicellular animals, all cells are derived from stem cells. To understand how stem cell development may influence phenotypic evolution, this thesis studies a population of vertebrate stem cells known as neural crest cells (NCCs). With unparalleled potency and migratory behavior, NCCs affect many different traits spread over the entire vertebrate boThe cell is the fundamental unit of life and in multicellular animals, all cells are derived from stem cells. To understand how stem cell development may influence phenotypic evolution, this thesis studies a population of vertebrate stem cells known as neural crest cells (NCCs). With unparalleled potency and migratory behavior, NCCs affect many different traits spread over the entire vertebrate bo
While many studies have examined carbon dynamics of boreal ecosystems following wildfire, research on forest-atmosphere carbon fluxes during widespread smoke events from adjacent active wildfires is limited. We examined eddy covariance carbon exchange adjacent to the May 2011 Utikuma Complex wildfire in central Alberta, Canada. Over a one-week period while the wildfire was burning <10 km from the
Sepsis remains a leading cause of mortality worldwide, driven by its clinical complexity and delayed recognition. Artificial intelligence (AI) offers promising solutions to improve sepsis care through earlier detection, risk stratification, and personalized treatment strategies. Key applications include AI-driven early warning systems, subphenotyping based on clinical and biological data, and deci
