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Sverige och Kanada är de första och enda länderna i världen vilka deklarerat en feministisk utrikespolitik. Politiken menar att ett ökat arbete för stärkt kvinnlig egenmakt är en förutsättning för att kunna nå de bredare utrikespolitiska målen om fred, säkerhet liksom ekonomisk- och hållbar utveckling. Kvinnlig egenmakt utgör därmed kärnan i det feministiska utrikespolitiska arbetet. Syftet med
Cancer är idag det näst vanligaste dödsorsaken i världen, där 30% av alla cancerfall bland kvinnor är bröstcancer. En vanlig behandling är bröstbevarande operation, där en bit av bröstet kirurgiskt tas bort. Operationer är både dyrt och har en betydande inverkan på kroppen och för vissa kvinnor krävs en omoperation efter den första operationen. Syftet med detta arbete har varit att undersöka möjliCancer is the second leading cause of death worldwide and 30% of all cancer cases among women are breast cancer. A popular treatment is breast-conserving surgery, where only a part of the breast is surgically removed. Surgery is expensive and has a significant impact on the body, and on some women, a reoperation is needed. The aim of this thesis was to see if there is a possibility to predict whet
Subarctic ecosystems are predicted to experience the fastest responses to climate change on the planet, with dramatically altered vegetation patterns, frost dynamics and hydrological flow paths. The resulting change in dissolved organic carbon (DOC) export to river systems is poorly known, but reports of rising DOC in northern surface waters have led to widespread speculations on a possible climat
Climate change projections show that temperature and precipitation increases can alter the exchange of greenhouse gases between the atmosphere and high latitude landscapes, including their freshwaters. Dissolved organic carbon (DOC) plays an important role in greenhouse gas emissions, but the impact of catchment productivity on DOC release to subarctic waters remains poorly known, especially at re
Sleep has evolved as a universal core function to allow for restorative biological processes. Detailed knowledge of metabolic changes necessary for the sleep state in the brain is missing. Herein, we have performed an in-depth metabolic analysis of four mouse brain regions and uncovered region-specific circadian variations. Metabolites linked to oxidative stress were altered during sleep including
This article analyzes rational decision-making in court as an emotivecognitiveprocess formed in and through social interaction. Currenttheoretical perspectives have shown how emotion and thought areintertwined in the workings of the human brain but have seldom elaboratedon the contextual and structural features of rational-emotionaldecision-making. I propose a model that maps emotional processesanThis article analyzes rational decision-making in court as an emotivecognitiveprocess formed in and through social interaction. Currenttheoretical perspectives have shown how emotion and thought areintertwined in the workings of the human brain but have seldom elaboratedon the contextual and structural features of rational-emotionaldecision-making. I propose a model that maps emotional processesan
Organic pollutants in aquatic environments pose a threat to ecosystems and human health, a challenge that requires urgent resolution. This urgent threat highlights the need for the development of efficient technologies for pollutant detection and degradation in environmental protection. This study presents the successful fabrication of a composite nanomaterial consisting of Ag nanoparticle-decorat
To mark her 90th birthday on 24 January, MaerzMusik – Festival for Time Issues will devote a special programme to Éliane Radigue, highlighting the many facets of the composer’s work.
Climate change has the potential to alter hydrological regimes and to expand saturated areas in permafrost environments, which are important sources of organic carbon. The sources, transfer zones, and delivery mechanisms of carbon into the stream network are controlled by the morphometric properties of the catchment; however, the utility and limitations of these properties as predictors of dissolv
The viability of wild bee populations and the pollination services that they provide are driven by the availability of food resources during their activity period and within the surroundings of their nesting sites. Changes in climate and land use influence the availability of these resources and are major threats to declining bee populations. Because wild bees may be vulnerable to interactions bet
Drainage networks delineated from Digital Elevation Models (DEMs), are the basis for the modelling of geomorphological and hydrological processes, biogeochemical cycling, and water resources management. Besides providing effective models of water flows, automatically extracted drainage networks based on topography can diverge from reality to varying degrees. The variability of such disagreement wi
When training a deep learning model, the dataset used is of great importance to make sure that the model learns relevant features of the data and that it will be able to generalize to new data. However, it is typically difficult to produce a dataset without some bias toward any specific feature. Deep learning models used in histopathology have a tendency to overfit to the stain appearance of the t
The complex genetic architecture of type-2-diabetes (T2D) includes gene-by-environment (G×E) and gene-by-gene (G×G) interactions. To identify G×E and G×G, we screened markers for patterns indicative of interactions (relationship loci [rQTL] and variance heterogeneity loci [vQTL]). rQTL exist when the correlation between multiple traits varies by genotype and vQTL occur when the variance of a trait
At the emergency department (ED), it is important to quickly and accurately determine which patients are likely to have a major adverse cardiac event (MACE). Machine learning (ML) models can be used to aid physicians in detecting MACE, and improving the performance of such models is an active area of research. In this study, we sought to determine if ML models can be improved by including a prior
This study investigated historic and future characteristics of precipitation periods in Mbale Municipality. Observed historic (1982–2014) and modeled future (2021–50) precipitation data were analyzed using Standardized Precipitation Index (SPI). Modeled data depict a likelihood of more frequent extremely wet and dry periods in near future as compared to historic period. In particular, there is a l
