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pyPFC is a comprehensive open-source Python package for setting up, running and analyzing 3D phase field crystal (PFC) simulations. The object-oriented code is designed to take full advantage of GPU acceleration, but can also be ran on purely CPU-based systems. The overarching ambition with the pyPFC package is to provide an easily accessible and computationally efficient PFC simulation framework,
Hybrid photon counting detectors have significantly advanced synchrotron research. In particular, the introduction of large cadmium telluride-based detectors in 2015 enabled a whole new range of high-energy X-ray measurements. This article describes the specifications of the new PILATUS4 cadmium telluride detector and presents results from prototype testing for high-energy powder X-ray diffraction
Anthropomorphic activities have a large impact on ecosystems in many ways, one of which is how animals behave. Non-motorised nature recreation is a popular human activity of which the impacts on nature are largely unknown. These activities, which include hiking, biking, pet walking and horseback riding, tend to increase during the commencement of the breeding activity for most passerine forest bir
Young adults presenting with knee pain, instability, or both after twisting the knee during sports or at work are commonly seen in primary care. If the symptoms and injury history correspond with suspicion of a torn anterior cruciate ligament (ACL) or meniscal injury, sometimes in combination with positive findings on magnetic resonance imaging, patients are often referred for surgical treatment.
Protein–protein interactions are fundamental to biological functions as well as the design of new functional food products and biomedicines. However, they can be challenging to computationally quantify due to strong forces and sensitivity to pronounced solution conditions. This thesis combines computational methods with Monte Carlo simulations to investigate strong protein interactions in diverse
Researchers have widely applied discharge simulation using artificial neural networks (ANNs) and have gained prominence in water resources. Morphological features, watershed urbanization, and climate change influence hydrological variables. Thus, data-driven models need to be able to identify the hydrological relationships without explicitly stating the physical processes. The main objectives of t
Context. M-dwarf systems offer an opportunity to study terrestrial exoplanetary atmospheres due to their small size and cool temperatures. However, the extreme conditions imposed by these host stars raise a question about whether their close-in rocky planets are able to retain any atmosphere at all. Aims. The Hot Rocks Survey aims to answer this question by targeting nine different M-dwarf rocky p
The Cerrado sensu stricto, so-called wooded Cerrado, is one of the many phytophysiognomies of the undisturbed Brazilian Cerrado ecoregion holding a biodiversity hotspot towards an extensive area. Thus, such land is under constant land use and cover changes mainly due to the demand for agriculture land, sector with the highest consumption of available freshwater in this ecoregion. This underscores
N1-methyladenine (m1A), a modification of transcripts, regulates mRNA structure and translation efficiency. In a recent issue of Nature, Sun et al. reported that m1A in CAG repeat RNA contributes to CAG repeat expansion-induced neurodegeneration in Caenorhabditis elegans and Drosophila through enhancing the ability of endogenous TDP-43 to partition into stress granules mediated by m1A. The study i
High-resolution phase-contrast 3D imaging using nano-holotomography typically requires collecting multiple tomograms at varying sample-to-detector distances, usually 3 to 4. This multi-distance approach limits temporal resolution, making it impractical for operando studies. Moreover, shifting the sample complicates reconstruction, requiring precise alignment, registration, and interpolation to cor
We introduce a transfer-matrix-based sequential sampling scheme for generating random samples of ligand arrangements on one-dimensional templates. The number of ligand types is arbitrary, the binding constants can have positional dependence, and cooperativity parameters are included. From the random arrangements, any (linear or nonlinear) observable can be calculated using sample averaging. As an
This PhD project aimed to investigate cerebellar contribution to cognition from a translational perspective by integrating neuropsychological assessment and neuroimaging, incorporating neurocognitive and motor tests with 7T Magnetic resonance imaging (MRI). The results are clinically significant as they identify nonverbal cognitive deficits that often may go unnoticed in clinical practice, particu
Catalytic activity is improved by reducing particle size, followed by atomic scale structural and chemical design, allowing physical and electronic confinement of chemical conversion centers. These concepts culminate in single-atom catalysts (SACs) where active precious metal atoms are isolated and anchored on the surface of supports and thus fully utilized for chemical conversion. In contrast, me
Animals live in diverse environments and have evolved to cope with environmental challenges in different ways. How such adaptations shape overall brain morphology is still unclear. Here, we test how two behavioural adaptations – circadian activity pattern and migratory behaviour – are reflected in the brains of moths and butterflies (Lepidoptera). We predicted that circadian activity pattern affec
The Australian Bogong moth (Agrotis infusa) is a small noctuid moth that undertakes annual, nocturnal migrations of up to 1000 km to escape the summer heat of its breeding grounds. The moths travel to cool alpine caves, where they enter a dormant state (aestivation) before returning to reproduce and die. During migration, their brains integrate magnetic and visual cues to guide their flight direct
Objective: To evaluate the impact of pregestational diabetes on duration of active labour (DAL) in induced and spontaneous labour and to compare caesarean section (CS) rates and indications between women with and without diabetes. Design: A population-based cohort study. Setting: Sweden. Population: 243 537 nulliparous women, registered in the Swedish Pregnancy Register, who delivered a singleton
We present a superconducting cavity-coupled double quantum dot (DQD) photodiode that achieves a maximum photon-to-electron conversion efficiency of 25% in the microwave domain. With a higher-quality-factor cavity and improved device design to prevent photon leakages through unwanted pathways, our device measures microwave signals down to the 100-aW power level and achieves sensitivity to probe mic
Artificial intelligence (AI) methods are powerful tools for biological image analysis and processing. High-quality annotated images are key to training and developing new algorithms, but access to such data is often hindered by the lack of standards for sharing datasets. We discuss the barriers to sharing annotated image datasets and suggest specific guidelines to improve the reuse of bioimages an
