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Early detection of zoonotic diseases is essential in preventing the consequences of outbreaks and reemergence occurrences. Brucellosis is endemic in several countries and has re-emerged with a high prevalence rate in different locations, affecting livestock and public health sectors. [...]

The study of brain development and degeneration is frequently observed in the scope of in vivo studies. However, newly developed in vitro models offer better precision and specificity in the investigation of neuronal networks. [...]

Styrene is an important building block for polymers and that is found in a broad spectrum of products that are omnipresent in our modern society, including consumer electronics, toys, packaging material, and car tires. However, the production of styrene is currently solely based on the petrochemical industry, which does not represent a viable long-term strategy due to the limited abundance of fossil resources. [...]

In the historical energy system, energy supply was provided by centralized large-scale power plants. The spatial distribution of the generators could be freely chosen, taking into account the proximity to consumption and fuel deposits, for example in the case of lignite. [...]

Given its high energy density and sustainability, hydrogen is regarded as a crucial energy carrier in the pursuit of a carbon-free energy economy. In the search for a storage medium of hydrogen, methanol is emerging as a promising chemical storage. [...]

Research in the area of computational science and engineering (CSE) has become a major driving force for scientific progress in the fields of numerical simulation, high-performance computing and algorithm development. The impact of this rapidly evolving discipline is manifold: emerging fields like biomedical engineering, data driven computing as well as water sustainability and advanced new materials rely fundamentally on cutting-edge CSE research. [...]

The design of Deep Learning (DL) models is a complex task, involving decisions on the general architecture of the model (e.g., the number of layers of the Neural Network (NN)) and on the optimization algorithms (e.g., the learning rate). These so-called hyperparameters significantly influence the performance (e.g., accuracy or error rates) of the final DL model and are, therefore, of great importance. [...]

Despite the great strides neuroscience has made in recent decades, the underlying principles of brain function remain largely unknown. Advancing the field strongly depends on the ability to study large-scale neural networks and perform complex simulations. [...]

Africa is the world’s least electrified continent, home to three-quarters of the global population without electricity. Electricity generation in African countries today relies heavily on fossil fuels and hydropower, despite the continent’s abundant potential for the most widely accessible renewable energy sources—wind and solar, as Africa is the sunniest continent in the world and has many windy sites. [...]