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Metagenomics based on high throughput sequencing (HTS) has opened a new era of discovery and genomic characterization of viruses associated with a given host or environment. The search for novel viral sequences provides an excellent opportunity to improve early detection of pathogens, and to predict viral hosts and environmental reservoirs …

Human exposure to environmental stressors is widespread. Highly dynamic, these chemical, physical and social factors, collectively termed as the exposome, interact with internal factors such as genetics, sex, gut microbiome and general health status, and dictate susceptibility and risk for an onset of diseases. Human exposure to the chemicals is …

Food fraud or economically motivated adulteration has been an issue throughout history. Even today, it remains a significant and growing problem, driven by globalisation, economic opportunity and the low probability and severity of punishment. Fraud is a concern for food producers, consumers, regulatory agencies and scientific organisations, and food fraud …

With the increasing use of electricity powered devices and processes in our daily lives, the need for the precise measurement of electrical currents across more than 15 decades from below nA to tens or hundreds of kA has become inevitable both for billing and more optimal energy distribution purposes as …

According to the EU’s Green Deal plan, one of the main objectives for the EU is to become a net-zero greenhouse emission society by 2050. Achieving this goal requires advancements across many areas ranging from energy production, conversion, distribution and energy storage where the key role is taken by the …

From the moment of conception until death, humans are exposed to chemicals at varying intensities and frequencies. While an individual’s level of resilience is commonly high enough to tolerate these kinds of stressors, specific exposures or genetic predispositions can lower it. Therefore, the assessment of chemical exposure, the development of …

With the resurgence of neural network-based learning in the last decade, machine learning methods are becoming critical components of many real-life intelligent systems. However, while being able to learn effectively and at scale, such systems are often non-interpretable and unable to exploit existing symbolic background knowledge. The paradigm that offers …

Of our main interest in this work is the stabilization of assemblies of topological defects (TDs) in liquid crystals (LCs). Due to the topological origin of TDs, the physics of defects is of interest for all branches of physics, including condensed matter systems, particle physics, and cosmology. LCs represent an …

Although large research efforts on web application security have been invested for more than a decade, the security of web applications is still a challenging problem. The main focus of the cybersecurity community has been to make operating systems and communication networks more secure and harder for attackers to penetrate. …

Highly porous ceramic γ‒Al2O3 monoliths are important in many applications, e.g., catalysis, thermal insulation and adsorption, yet they still have a lot of unrecognized potential. There is a lot of incentive to employ simple and green fabrication processes for the preparation of such porous ceramic materials; however, many challenges, especially …