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Turbulent heat transfer over rough surfaces is crucial in natural and industrial processes, yet it has received less attention than that of momentum transfer. Recently, research in this field is rapidly growing, driven by advancements in computational methods, the role of surface roughness in meteorology, and the growing use of Additive Manufacturing technologies for energy and thermal management
Understanding the initiation, propagation and evolution of water injection-induced fractures is essential for geo-energy applications. Hydromechanical stimulation experiments were conducted in a deep borehole drilled into crystalline bedrock to gain insights into these processes, involving simultaneous in-situ measurements of three-dimensional fracture displacements, injection flow rates, and wate
Cell replacement therapies using human pluripotent stem cell-derived ventral midbrain (VM) dopaminergic (DA) progenitors are currently in clinical trials for treatment of Parkinson’s disease (PD). Recapitulating developmental patterning cues, such as fibroblast growth factor 8 (FGF8), secreted at the midbrain-hindbrain boundary (MHB), is critical for the in vitro production of authentic VM DA prog
Public and scientific interest in human-robot interactions is growing rapidly. As artificial intelligence (AI) becomes an integral part of human experience, there is an urgent need to understand people’s receptivity to it, especially in emotionally intimate or private spheres. Intimate receptivity goes beyond general technology attitudes, carrying potential implications for companionship, mental h
Although groundwater serves as the predominant source of drinking water across many rural regions and certain urban areas of Rwanda, little is known about this resource. Anthropogenic impacts, such as faecal contamination, as well as geogenic water quality problems, including elevated arsenic, fluoride, iron, and manganese, are among the issues of concern for groundwater quality in Rwanda. Long-te
The cranked Nilsson-Strutinsky formalism is employed to investigate the band structure of 115I from low to high spin. A set of eight rotational bands with well established spins and parities are analyzed. Five bands start at low spin and are assigned to the single-particle proton orbitals (𝑑5/2, 𝑔7/2), 𝑔9/2, and ℎ11/2, which are close to the Z = 53 Fermi surface for a deformation of ɛ2=0.2. Th
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
