The profound advantages of printed photovoltaics (PVs), such as their light weight, mechanical flexibility in addition to the small energy demand, and low cost equipment requirements for roll-to-roll mass production, characterise them as a dominant candidate source for future electrical power. Over the last few years, the discovery of novel solution processed electronic materials and device structures boosted PV power conversion efficiency values. Despite that, power conversion efficiency is not a 'stand-alone' product development target for next generation PVs. Lifetime, cost, flexibility and non-toxicity have to be equally considered, regarding the technological progress of solution processed PVs. The ambit of the Sol-Pro research programme is to re-design solution processed PV components relevant to the above product development targets. Based on this, processing specifications as a function of the electronic material properties will be established and provide valuable input for flexible PV applications. Adjusting the material characteristics and device design is crucial to achieve the proposed high performance PV targets. As a consequence, a number of high-level objectives concerning processing/materials/electrodes/interfaces, relevant to product development targets of next generation solution processed PVs, are aimed for within the proposed ERC programme.

Visual working memory (VWM) is the cognitive process responsible for temporarily maintaining in mind visual information that is no longer in view. The neural architecture of VWM has been of continuous scientific interest and it has been proposed that the sensory visual cortex is involved in the brain network responsible for successful REpresentation STOragE during VWM. However, the contribution of the sensory visual cortex in VWM remains a subject of intense debate, underscoring the need for a decisive investigation. RESTORE aims to shed light on this debate. Through a three-way transfer of knowledge, RESTORE will lead to contemporary methodology, by combining transcranial magnetic stimulation (TMS) with electroencephalography (EEG), resulting in a robust and cost-effective approach for studying VWM. By combining TMS with EEG, RESTORE will surmount the limitations of previous work (e.g., the correlational nature of brain-imaging studies, the lack of evidence for neural activity in brain-stimulation studies) and thus result in causal evidence for the role of the sensory visual cortex during VWM. This scientific leap will not only resolve a longstanding controversy but also introduce an efficient approach for conducting neuroscientific research, hence contributing to the literature and advancing the current state-of-the-art. In addition, RESTORE will enhance the expertise repertoire of the researcher and the participating organisations. In turn, this will establish a strong foundation for pursuing ambitious and innovative research in the future, as well as provide knowledge and skills for training future researchers in contemporary research. RESTORE's innovative integration of TMS and EEG aims to decisively illuminate the longstanding debate about the role of the sensory visual cortex in VWM and lays a solid groundwork for future ambitious investigations, while fostering expertise and knowledge transfer for the next generation of researchers.

Bilge water is the main pollutant of shipboard wastewater; it can be briefly defined as saline, oily and greasy wastewater with a high COD (> 3-15 g COD L-1). The discharge of oil residue to marine environments is prohibited according to the International Maritime Organization (IMO) regulations (MARPOL 73/78) and the European directive 2000/59/EC. However, due to the fact that the major part of the oil in bilge water is emulsified, the physical methods may fail to satisfy the targeted treatment levels and contribute significantly to operational cost. Few studies are so far available for the use of biological methods for real bilge water treatment. Electro-SAnMBR” project will develop an innovative technology consisting of an electrolysis cell (EC) inside a Submerged Anaerobic Membrane Bioreactor (SAnMBR) for the treatment of real bilge water. The electrochemical system will be consisted by a pair of electrodes (anode and cathode, without an ion exchange membrane) inside a SAnMBR. This e-SAnMBR system will be developed and optimized at a laboratory scale at Environmental Engineering Laboratory (EEL) Cyprus University of Technology (CUT), then it will be operated at pilot scale at Ecofuel Cyprus Ltd and the microbial profile in bioreactors will be examined at Environmental Bioprocessing laboratory (EBL) at CUT. The electrodes will be constructed at the Nano/Micro Mechanics of Materials Lab (NMML) at CUT The research will be mainly implemented by Dr Gatidou and will involve novel aspects from many disciplines such as molecular microbiology, material science, environmental biotechnology, chemical engineering and environmental analysis and will also involve testing of bioreactors at industrial pilot scale level (Ecofuel Ltd). In addition, potential success of the project could lead to immediate application of the research findings by the company (Ecofuel Ltd) but also to future commercialization of the results

One of the top ten goals set by the White Paper on Transport is to reduce fatalities in road transport. The European Union is aiming to halve road casualties by 2020, in line with the long term goal to move close to zero fatalities by 2050. Despite the reduction in road fatalities in the EU since 2010, there are specific countries where the numbers are increasing. In addition, the yearly decrease rate in road fatalities for Europe as a whole is slowing down. In order to reach the goal set for 2020, action should be taken immediately. The most vulnerable road users are motorcyclists, who are currently suffering from frequent fatalities in crashes involving road barriers. The European Road Assessment has indicated the critical need to adopt improved barrier designs to protect vulnerable road users. While rubberized concrete has been recommended for road barriers, challenges involving strength and durability of the material have not been addressed. This research proposes to develop optimised steel fibre-reinforced rubberised concrete mixtures as well as road barrier designs, which will lead to the development of SAFER road barriers with outstanding deformability and structural integrity; thus paving the way for forgiving road infrastructure. The use of recycled rubber and steel wires (obtained from End-of-life tyres) supports the Horizon 2020 Transport Research and Innovation Act priorities for sustainability and resource efficiency (including the Circular Economy package).

The 3D, time-resolved blood flow measurement technique known as 4D Flow Magnetic Resonance Imaging (MRI) is highly valuable for research and can play a crucial role in cardiovascular disease (CVD) diagnosis and treatment planning. However, it is limited by the fundamental trade-off between resolution, image quality, and scan time since current 4D Flow MRI methods use compressed sensing or spatiotemporal acceleration to achieve only a spatial resolution of 1-3mm and temporal resolution of 25-100ms in a scan time of ~10 minutes. To overcome this challenge, simulation-based imaging (SBI) may provide a method to augment 4D flow MRI data by fitting computational fluid dynamics (CFD) simulation to low-resolution and noisy 4D Flow MRI data. The primary objective of SBI is to generate a high-resolution velocity field by optimizing the simulation to closely match the available data. This approach overcomes the aforementioned limitations of 4D Flow MRI, which often suffers from inherent errors in resolution and scan time, leading to both quantitative and qualitative discrepancies. By utilizing SBI, a more precise and comprehensive visualization of blood flow can be achieved. Therefore, the ultimate goal of this project is to develop a novel SBI method for MRI that will be used to address a wide range of cardiovascular (CVDs) such as heart attacks, strokes, and congenital heart defects; providing high-quality images of structure and function with ultra-high resolution and fast scan time. The long-term impact of the proposed SBI framework is expected to revolutionize clinical diagnosis and surgical decision-making leading to more effective treatments and improved outcomes for CVD patients.