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The verification and validation of a probabilistic risk analysis method for road tunnels

In this thesis, a new probabilistic risk assessment tool for road tunnels has been verified and validated. The verification and validation were performed along with a literature review to find different key variables that affect the risk in a road tunnel and find out how these variables can be handled. Examples of variables are heat release, ventilation mode and factors within evacuation modelling

Predicting seminal quality with artificial intelligence methods

Fertility rates have dramatically decreased in the last two decades, especially in men. It has been described that environmental factors, as well as life habits, may affect semen quality. Artificial intelligence techniques are now an emerging methodology as decision support systems in medicine. In this paper we compare three artificial intelligence techniques, decision trees, Multilayer Perceptron

Density of insect-pollinated grassland plants decreases with increasing surrounding land-use intensity.

Pollinator declines have raised concerns about the persistence of plant species that depend on insect pollination, in particular by bees, for their reproduction. The impact of pollinator declines remains unknown for species-rich plant communities found in temperate seminatural grasslands. We investigated effects of land-use intensity in the surrounding landscape on the distribution of plant traits

Similar response in male and female B10.RIII mice in a murine model of allergic airway inflammation.

BACKGROUND: Several reports have been published on the gender differences associated with allergies in mice. GOAL: In the present study we investigate the influence of gender on allergy response using a strain of mice, B10.RIII, which is commonly used in the collagen-induced arthritis murine model. METHODS: Both male and female B10.RIII young mice were immunized with OVA and challenged four times

Simple guidelines for efficient referral of soft-tissue sarcomas: a population-based evaluation of adherence to guidelines and referral patterns.

BACKGROUND: Optimal treatment of soft-tissue sarcoma requires multidisciplinary management at a sarcoma center. However, these rare tumors are often misinterpreted as benign and many are inadequately treated outside a sarcoma center, with an increased risk of local recurrence that often requires further extensive surgical treatment. To improve referral and centralization of soft-tissue sarcoma man

Dietary adherence is not dependent on the mode of diagnosis in children with coeliac disease

Aim: To compare the adherence to gluten-free diet between children with serology-based and biopsy-proven coeliac disease. Methods: Medical records were retrospectively reviewed in 257 Swedish children diagnosed with coeliac disease between 2012 and 2019 at a tertiary hospital. Adherence to a gluten-free diet was systematically assessed by trained dietitians at follow-up. Mixed models were used to

Restricted plant diversity limits carbon recapture after wildfire in warming boreal forests

Incomplete wildfire combustion in boreal forests leaves behind legacy plant-soil feedbacks known to restrict plant biodiversity. These restrictions can inhibit carbon recapture after fire by limiting ecosystem transition to vegetation growth patterns that are capable of offsetting warmth-enhanced soil decomposition under climate change. Here, we field-surveyed plant regrowth conditions 2 years aft

Matrix element corrections in top quark decays for the tt¯W± process

We present a method that allows enabling matrix element corrections (MECs) in Pythia8 with MC@NLO matching, without incurring double counting. MECs are an interesting feature that may contribute to the accuracy of theoretical predictions, alongside matching and merging. We directly compare our method to a specific choice of settings in Pythia8, which can remove double-counting for MECs in certain

Motivations, changes and challenges of participating in food-related social innovations and their transformative potential : three cases from Berlin (Germany)

Dominant agri-food systems are increasingly seen as unsustainable in terms of environmental degradation, mass production or high food waste. In an attempt to counteract these developments and foster sustainability transitions in agri-food systems, a variety of actors are engaging in socially innovative models of food production and consumption. Using a multiple case study approach, our study exami

The Persistence of the Economic Power of Elites, Expansion of Education and Industrial Transition

This paper studies the economic impacts of land ownership concentration among the aristocratic elite in the Russian Empire. I document that areas with a higher concentration of noble land ownership were associated with lower levels of primary education during 1880-1911. Exploring the mechanisms, I show that by controlling local governments the landed elites decreased public spending on education,

Mammographic features at primary breast cancer diagnosis in relation to recurrence-free survival

Purpose: The number of women living with breast cancer (BC) is increasing, and the efficacy of surveillance programs after BC treatment is essential. Identification of links between mammographic features and recurrence could help design follow up strategies, which may lead to earlier detection of recurrence. The aim of this study was to analyze associations between mammographic features at diagnos

Beyond theoretical courses–A study of Swedish psychiatric residents’ collegial learning through conversations in the workplace

Background: Collegial conversations are important for sustainable learning to last beyond a course. Research on collegial conversations and peer learning in the workplace during psychiatric residency courses remains sparse, however. In this study, the aim was to explore residents’ opportunities for collegial conversations during and after national courses in psychiatry. Methods: Residents in psych

2D electron gas formation on InAs wurtzite nanosheet surfaces

The two-dimensional electron gas (2DEG) that forms on a semiconductor surface can be used to explore a variety of phenomena in quantum physics and plays an important role in nanoscale electronics, such as transistors. Controlling its formation is, thus, relevant. Using angle-resolved photoemission spectroscopy (ARPES) and accumulating the signal over many nanocrystals, we find that on clean InAs n

Radiative corrections : from medium to high energy experiments

Radiative corrections are crucial for modern high-precision physics experiments, and are an area of active research in the experimental and theoretical community. Here we provide an overview of the state of the field of radiative corrections with a focus on several topics: lepton–proton scattering, QED corrections in deep-inelastic scattering, and in radiative light-hadron decays. Particular empha

Regional Responses of Vegetation Productivity to the Two Phases of ENSO

The two phases of El-Niño-Southern Oscillation (ENSO) influence both regional and global terrestrial vegetation productivity on inter-annual scales. However, the major drivers for the regional vegetation productivity and their controlling strengths during different phases of ENSO remain unclear. We herein disentangled the impacts of two phases of ENSO on regional carbon cycle using multiple data s

The influence of thioether-substituted ligands in dicopper(II) complexes : Enhancing oxidation and biological activities

This paper describes the synthesis, structural analysis, as well as the magnetic and spectroscopic characterizations of three new dicopper(II) complexes with dinucleating phenol-based ligands containing different thioether donor substituents: aromatic (1), aliphatic (2) or thiophene (3). Temperature-dependent magnetometry reveals the presence of antiferromagnetic coupling for 1 and 3 (J = −2.27 cm

Dichotomous Effects of Glypican-4 on Cancer Progression and Its Crosstalk with Oncogenes

Glypicans are linked to various aspects of neoplastic behavior, and their therapeutic value has been proposed in different cancers. Here, we have systematically assessed the impact of GPC4 on cancer progression through functional genomics and transcriptomic analyses across a broad range of cancers. Survival analysis using TCGA cancer patient data reveals divergent effects of GPC4 expression across