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Lexical Ambiguity in Political Rhetoric: Why Morality Doesn't Fit in a Bag of Words

How do politicians use moral appeals in their rhetoric? Previous research suggests that morality plays an important role in elite communication and that the endorsement of specific values varies systematically across the ideological spectrum. We argue that this view is incomplete since it only focuses on whether certain values are endorsed and not how they are contextualized by politicians. Using

Vertical III-V Nanowire Transistors for Low-Power Electronics

Power dissipation has been the major challenge in the downscaling of transistor technology. Metal-Oxide-Semiconductor Field-Effect Transistors (MOSFETs) have struggled to keep a low power consumption while still maintaining a high performance due to the low carrier mobilities of Si but also due to their inherent minimum inverse subthreshold slope (S ≥ 60 mV/dec) which is limited by thermionic emis

Aquaporins - Novel approaches to old problems

As all life on this planet evolves around water, it is important for our bodies to be able to regulate it. This may be done passively, but just like with water in the ocean, if we were to rely solely on passive transport (such as evaporation), the flow of water would be too slow for biological functions to uphold the homeostasis that is so important for us to survive. All organisms have thus devel

A new family of survival functions and a method for measuring risk inequalities

AbstractThe present compilation thesis is divided into two sections, one for each of two separate methodological issues: reduction of random errors in mortality estimates and offsetting random variation related bias in data generated estimators of risk inequalities.Summary of section AIn regard to the first issue a new family of survival functions is proposed. Its purpose is to provide valid and rThe present compilation thesis is divided into two sections, one for each of two separate methodological issues: reduction of random errors in mortality estimates and offsetting random variation related bias in data generated estimators of risk inequalities. Summary of section A In regard to the first issue a new family of survival functions is proposed. Its purpose is to provide valid and reliabl

Precision medicine in complex diseases - : Molecular subgrouping for improved prediction and treatment stratification

Complex diseases are caused by a combination of genetic, lifestyle, and environmental factors and comprise common noncommunicable diseases, including allergies, cardiovascular disease, and psychiatric and metabolic disorders. More than 25% of Europeans suffer from a complex disease, and together these diseases account for 70% of all deaths. The use of genomic, molecular, or imaging data to develop

Establishment and Utility of SwedAD : A Nationwide Swedish Registry for Patients with Atopic Dermatitis Receiving Systemic Pharmacotherapy

SwedAD, a Swedish nationwide registry for patients with atopic dermatitis receiving systemic pharmacotherapy, was launched on 1 September 2019. We describe here the establishment of a user-friendly registry to the benefit of patients with atopic dermatitis. By 5 November 2022, 38 clinics had recorded 931 treatment episodes in 850 patients with an approximate national coverage rate of 40%. Characte

Land and Freshwater Complex Interactions in Boreal Forests: A Neglected Topic in Forest Management

Aquatic and terrestrial habitats are interdependent components of the boreal forest landscape involving multiple dynamic interactions; these are manifested particularly in riparian areas, which are key components in the forest landscape. However, this interdependence between aquatic and terrestrial habitats is not adequately accounted for in the current management of forest ecosystems. Here we rev

Systematic Augmentation in HSV Space for Semantic Segmentation of Prostate Biopsies

In recent years, the combination of the digitization of the field of pathology and increased computational power has led to a big increase in research of computer-aided diagnostics using systems based on artificial intelligence (AI). This includes detection and classification of prostate cancer, where several studies have shown great promise in automated prostate cancer grading using deep learning