BakgrundVaccination är en av de viktigaste folkhälsoinsatserna för att rädda liv och hindra spridning av smittsamma sjukdomar. Tack vare vaccinationer har miljontals liv räddats världen över. Men det räcker inte att säkra och effektiva vaccin tas fram och tillgängliggörs. En förutsättning för framgångarna är att individer accepterar att bli vaccinerade. Under senare tid har forskningsområdet om vaThe vaccination coverage in Sweden's National Immunization Program (NIP) has been highand stable for decades. Although the coverage is high, few studies have assessed parental vaccineacceptance in Sweden. This doctoral thesis aimed to provide an in-depth understanding of currentparental vaccine acceptance, focusing particularly on Human papillomavirus (HPV) and measles, mumps and rubella (MMR) vac

Every living cell is surrounded by a cell membrane that is made up of amphipathicphospholipids, separating the aqueous solutions inside and outside the cell with ahydrophobic barrier. This compartmentalization is a prerequisite for life, but so arethe many molecules that are floating in the membrane, altering its properties andconnecting the inside with the outside. An important group are the tran

Probabilistic solvers provide a flexible and efficient framework for simulation, uncertainty quantification, and inference in dynamical systems. However, like standard solvers, they suffer performance penalties for certain stiff systems, where small steps are required not for reasons of numerical accuracy but for the sake of stability. This issue is greatly alleviated in semi-linear problems by th

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers with limited treatment options, illustrating an urgent need to identify new drugable targets in PDACs.OBJECTIVE: Using the similarities between tumor development and normal embryonic development, which is accompanied by rapid cell expansion, we aimed to identify and characterize embryonic signaling pathways that

We explain how the accelerating field amplitude and phase vary with modulator voltage in pulsed radio frequency high-power amplifiers based on klystron tubes. Changes in modulator voltage give rise to correlated changes of amplitude and phase, affecting the properties of the accelerated beam, in particular energy, arrival time, and bunch duration. We show, both theoretically and experimentally, th

The article explores the use of reflexive methodology to enhance mixed methods queer psychological research in Sweden, by analysing data from a qualitative research project on how LGBTQ people cope with minority stress from four epistemological perspectives. A descriptive, hermeneutically and phenomenologically inspired analysis showed that coping should be understood from temporal perspective, wh

The concentration of colored dissolved organic matter (CDOM) in lakes is strongly influenced by climate, land cover, and topographic settings, but it is not known how drought may affect the relative importance of these controls. Here, we evaluate the controls of CDOM during two summers with strongly contrasting values of the Palmer drought index (PDI), indicating wet vs. dry conditions. We hypothe

Scheduling between mates in species with long-term pair bonds can be essential for positive fitness. The annual cycle in photoperiod is the primary environmental cue used by many animals to synchronize behavior and physiology among members of a population, and animals that migrate must have similar annual schedules to ensure successful breeding. However, we know little about whether members of mat

The Storage Location Assignment Problem (SLAP) is of central importance in warehouse operations. An important research challenge lies in generalizing the SLAP such that it is not tied to certain order-picking methodologies, constraints, or warehouse layouts. We propose the OBP-based SLAP, where the quality of a location assignment is obtained by optimizing an Order Batching Problem (OBP). For the

The implementation of deep learning algorithms has brought new perspectives to plankton ecology. Emerging as an alternative approach to established methods, deep learning offers objective schemes to investigate plankton organisms in diverse environments. We provide an overview of deep-learning-based methods including detection and classification of phytoplankton and zooplankton images, foraging an

Impactful applications such as materials discovery, hardware design, neural architecture search, or portfolio optimization require optimizing high-dimensional black-box functions with mixed and combinatorial input spaces. While Bayesian optimization has recently made significant progress in solving such problems, an in-depth analysis reveals that the current state-of-the-art methods are not reliab

The aim of this study is to investigate the association between self-perceived voice problems and social participation among older adults (65-80 years). A complementary aim was to investigate the association between self-perceived voice problems and physical activity. Method Participants were recruited through social media and asked to complete an online questionnaire. In total, 152 individuals we

Primary graft dysfunction (PGD) remains a challenge for lung transplantation (LTx) recipients as a leading cause of poor early outcomes. New methods are needed for more detailed monitoring and understanding of the pathophysiology of PGD. The measurement of particle flow rate (PFR) in exhaled breath is a novel tool to monitor and understand the disease at the proteomic level. In total, 22 recipient