Water resources are fundamental to life, ecosystems, and human development. In an era of climate change and increasing water scarcity, effective management of these resources is crucial, particularly in cold regions where glaciers and snow play vital roles in hydrological cycles. Understanding and accurately modelling these complex systems is essential for sustainable water resource management, cl

Non-volatile cryogenic memories are crucial for realizing energy-efficient and scaled quantum computing systems. In this letter, we evaluate the cryogenic performance of an HZO-based ferroelectric capacitor (FeCAP) with a compound semiconductor (InAs) as the bottom electrode. We demonstrate that near identical remnant polarization can be obtained at 14 K compared to room temperature by increasing

Cooperative driving is a promising paradigm to improve traffic efficiency and safety. In congested traffic scenarios, such cooperation allows for safe maneuvering and driving with small inter-vehicle spatial gaps. The vehicles involved coordinate their movements in real-time and continuously update each other about their maneuver execution status by means of Vehicle-to-Everything (V2X) communicati

A salient aspect of the tropics is the prevalence of deep convection. It spans much of the depth of the troposphere, due to the positive buoyancy of cloudy updrafts warmed by latent heating from condensation. Cells of deep convection transfer heat, moisture and momentum to upper levels. They are crucial for the large-scale atmospheric circulation.Most precipitation from tropical systems is from de

Ice formation remains one of the most poorly represented microphysical processes in climate models. While primary ice production (PIP) parameterizations are known to have a large influence on the modeled cloud properties, the representation of secondary ice production (SIP) is incomplete and its corresponding impact is therefore largely unquantified. Furthermore, ice aggregation is another importa

To resolve the various types of biological ice nuclei (IN) with atmospheric models, an extension of the empirical parameterization (EP) is proposed to predict the active IN from multiple groups of primary biological aerosol particles (PBAPs). Our approach is to utilize coincident observations of PBAP sizes, concentrations, biological composition, and ice nucleating ability. The parameterization or

A key strategy to support the vision of a circular economy is to promote the consumption of more sustainable products. Both the EU and its Member States have therefore adopted several policies to support this objective. We review these policies and discuss their potential to trigger changes in consumer behaviour. The discussion is focused on five ‘points of intervention’: (1) regulatory choice edi

OBJECTIVE: To monitor serum concentrations of the aggrecan alanine-arginine-glycine-serine (ARGS) neoepitope in a clinical trial of a disintegrin and metalloproteinase with thrombospondin motifs (ADAMTS)-5 inhibition as disease-modifying therapy of knee osteoarthritis, and to investigate relationships between reduction in ARGS and change in cartilage thickness, knee-related pain and function. DESITo monitor serum concentrations of the aggrecan alanine-arginine-glycine-serine (ARGS) neoepitope in a clinical trial of a disintegrin and metalloproteinase with thrombospondin motifs (ADAMTS)-5 inhibition as disease-modifying therapy of knee osteoarthritis, and to investigate relationships between reduction in ARGS and change in cartilage thickness, knee-related pain and function.DesignROCCELLA t

The Warburg effect is ubiquitous in proliferative mammalian cells, including cancer cells, but poses challenges for biopharmaceutical production, as lactate accumulation inhibits cell growth and protein production. Previous efforts to eliminate lactate production via knockout have failed in mammalian bioprocessing since lactate dehydrogenase has proven essential. However, here we eliminated the Wa

Researchers have long been studying the effects of the modification of friction material compositions on their tribological properties. Predictive models have also been developed, but they are of limited use in the design of new compositions. Therefore, this research aims to investigate the tribological behaviour of single ingredients in friction materials to develop a tribological dataset. This d

This book provides an insight into research conducted by participants attending The Patient: Examining Realities: 5th Global Conference, held in Oxford, England, 14-16 September, 2016. These attendees and subsequent volume contributors include medical professionals and healthcare providers employed by reputable academic institutions, and who take a both scientific and practical interest in the hea

Intelligent intersections have the potential to serve as an integral part of tomorrow's traffic infrastructure. Wireless communication is key to enabling such technology. We consider a scenario where two flows of vehicles traverse an intelligent intersection. We investigate safety in emergency braking scenarios, where one of the vehicles in a flow suddenly decides to emergency brake and emergency

Network reconstruction of dynamical continuous-time (CT) systems is motivated by applications in many fields. Due to experimental limitations, especially in biology, data can be sampled at low frequencies, leading to significant challenges in network inference. We introduce the concept of 'system aliasing' and characterize the minimal sampling frequency that allows reconstruction of CT systems fro

Performing multiple experiments is common when learning internal mechanisms of complex systems. These experiments can include perturbations of parameters or external disturbances. A challenging problem is to efficiently incorporate all collected data simultaneously to infer the underlying dynamic network. This paper addresses the reconstruction of dynamic networks from heterogeneous datasets under