In February 1825, the dikes broke after a spring tide in the Krummhörn region in East Frisia, Germany, causing a severe disaster. Although the flood did not claim many victims, substantial damage was done to the farmland, and the economic crisis that followed permanently changed the social structure in the Krummhörn. We study family reconstitutions of the region linked to information about socioec

The color of lakes is an essential indicator of the local ecological state, and the corresponding changes can reflect the physical and biochemical processes of lakes. However, worldwide changes in lake color and their drivers remain largely unknown. Here, we analyze the long-term color distributions and changes of 67,579 lakes worldwide from 1984 to 2021 by utilizing 32 million consistent satellit

Large Eddy Simulations (LES) are carried out targeting an unconfined premixed bluff body burner operated with ethanol, n-heptane, Jet A, and a Sustainable Aviation Fuel (SAF) labeled C1. The purpose is to validate the chosen simulation methodology for these fuels, which have not been simulated in the targeted case before, and to provide new information about how they burn and stabilize. The combus

While necessary to protect human lives, many of the measures implemented by governments to contain the COVID-19 pandemic imposed significant costs on the population. Drawing on an original representative survey fielded during the first wave of COVID-19 in April–June 2020 in Sweden and Denmark, we examine how members of different occupational groups evaluated their government's pandemic strategies.

Pan Evaporation (Ep) plays a pivotal role in water resource management, particularly in arid and semi-arid regions. This study assesses the predictive performance of a comprehensive range of advanced machine learning (ML) and deep learning (DL) algorithms for Ep prediction using readily available environmental sensing data. The models investigated include M5 Prime (M5P), M5Rule (M5R), Kstar, as we

An incremental high-cycle fatigue damage model is combined with topology optimization to design structures subject to non-proportional loads. The optimization aims to minimize the mass under compliance and fatigue constraints. The fatigue model is based on the concept of an evolving endurance surface and a system of ordinary differential equations that model the local fatigue damage evolution. A r

Global warming has accelerated permafrost degradation, destabilizing soil organic carbon (SOC) in wetlands. Soil microorganisms play a crucial role in SOC decomposition. Despite increasing studies on soil microorganisms and their associated impacts on SOC decomposition in wetlands, few studies have simultaneously investigated the impacts of soil physical properties and nutrient stoichiometry on so

Flower-visiting insects and the plants that depend on them are declining due to habitat loss and deterioration. Road verges, which often provide abundant floral resources, are gaining attention for their potential conservation value, as they can support a high abundance and diversity of flower-visiting insects. Thereby, flower-abundant road verges may benefit pollination in surrounding landscapes.

Context: The mechanisms underlying bone fragility and increased fracture risk observed in individuals with type 2 diabetes (T2D) are not yet fully elucidated. Previous research has suggested a role for neuropeptides in regulating bone metabolism; however, the contribution of the neuropeptide Neurotensin (NT), which is thoroughly implicated in T2D and cardiovascular disease, has not been investigat

The millennial-scale hydroclimate variability in East Asia has been debated for a long time due to the lack of reliable precipitation records from southern China and inconsistent model simulations. Here, we reconstruct a 40-kyr rainfall record for southern China and Taiwan based on enviro-magnetic and clay mineral proxy parameters from a northern South China Sea marine sediment core. Both proxies

Progressive leptomeningeal metastases (LM) are associated with intractable neurological symptoms and a poor prognosis, and effective treatment options are limited. Intrathecal (IT) pemetrexed has been shown to confer clinical benefit in lung adenocarcinoma, yet our understanding of the efficacy and safety of the treatment is limited. We report a patient with a long-standing history of leptomeninge

Intratelencephalic neurons are a crucial class of cortical principal neurons that heavily innervate the striatum and cortical areas bilaterally. Their extensive cortico-cortical and cortico-striatal connectivity enables sensorimotor integration within the telencephalon, but their role in motor control remains poorly understood. Here, we used a chemogenetic approach to explore the role of intratele

Identifying potential moisture damage is crucial for maintenance practices and assurance of well-being of occupants. However, due to limited information availability and standardization, assessing damage prevalence on the building stock scale remains understudied. By combining investigation records and building databases, this study leverages data analytic techniques and machine learning modeling

The serine protease cathepsin G is synthesized during the promyelomonocytic stage of neutrophil and monocyte differentiation. After processing, including removal of an amino-terminal propeptide from the catalytically inactive proform, the active protease acquires a mature conformation and is stored in azurophil granules. To investigate the importance of the proform-conformation for targeting to gr

The Chicxulub asteroid that ended the Cretaceous Era ∼66.05 million years ago caused a prolonged time of global darkness – the impact winter – leading to mass extinctions. Elements from the asteroid, including the platinum group elements (PGEs) osmium, iridium and platinum are known from the globally distributed boundary clay but their carrier elements have so far been unknown. We identify, for th

We present new true triaxial compression data obtained in the ductile regime on Bleurswiller sandstone. The deformed samples show a range of failure modes qualitatively similar to what was reported by earlier experimental studies performed in conventional conditions (axisymmetric compression). In particular, visual inspection and X-ray Computed Tomography imaging reveal compaction localization in

This work presents a data-driven method for learning low-dimensional time-dependent physics-based surrogate models whose predictions are endowed with uncertainty estimates. We use the operator inference approach to model reduction that poses the problem of learning low-dimensional model terms as a regression of state space data and corresponding time derivatives by minimizing the residual of reduc

Attosecond science enables the study of ultrafast dynamics on atomic scales, providing fundamental insights into light–matter interaction. This thesis work aims to advance the development and application of an attosecond light source capable of delivering extreme ultraviolet (XUV) pulses with exceptionally high intensity.High-order harmonic generation (HHG) is a nonlinear process where a strong la