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Preparation and Characterization of an Engineered FGF1 Conjugated to <sup>161</sup>Tb for Targeting of FGFRs
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Securing mobile edge computing: A survey on cyber-physical threat mitigation for digital sovereignty
Full text linkMobile Edge Computing (MEC) enhances network efficiency by decentralizing resources closer to users, but it also introduces significant cybersecurity challenges, such as DDoS attacks, unauthorized access and data breaches. The effects of these potent attacks negate the principles of digital sovereignty. Securing MEC is crucial not only for system efficiency but also for ensuring digital sovereignty by safeguarding critical infrastructures and sensitive data from external entities. Nations and industries must safeguard sensitive data, defend against these evolving threats, and retain autonomous control over their digital ecosystem. In this study, considering various applicability of ML-based models, blockchain, and encryption techniques as cybersecurity strategies to combat cyber physical threats within MEC environments, it offers a systematic review of recent strategies from studies with 3 years. Although these methods are promising, scalability and practical applicability are hard to come by, especially in resource constrained settings. Our findings can help to develop secure, resilient MEC systems which can protect digital infrastructures, ensuring privacy, autonomy, and trust which are essential to maintaining digital sovereignty. This work offers valuable insights for future research to develop adaptable and robust solutions that ensure secure, decentralized systems, reinforcing the principles of digital sovereignty.Securing mobile edge computing: A survey on cyber-physical threat mitigation for digital sovereigntypublishedVersio
Modelling, simulation, and optimisation of agrivoltaic systems: a comprehensive review
Full text linkAgrivoltaic systems combine food production and solar energy conversion on the same land, offering a dual-use approach to address land use concerns in renewable energy development. One of the main research and market challenges for agrivoltaic systems is the ability to predict food and energy yields prior to installation. The photovoltaic modules reduce solar irradiation on the ground, altering the energy balance at the ground and crop levels, affecting thus evapotranspiration and photosynthesis. The photovoltaic modules also influence local rain distribution and wind patterns, creating a microclimate that impacts both crop production and photovoltaic efficiency. The need to evaluate these effects and their impact on crop growth before installation is underscored by the recent implementation of new standards, guidelines, and regulations governing agrivoltaic systems in various regions. This study provides a critical review of existing research with a focus on the modelling, simulation, and optimisation of agrivoltaic systems. It highlights recent advancements in simulating and optimising the design of agrivoltaic systems through integrated simulations of shading, microclimates, electrical performance, and agricultural productivity. This study highlights the critical role of optimised light distribution in enhancing both crop yields and electricity production within agrivoltaic systems. However, the diversity of modelling approaches from the PV and agricultural sectors, coupled with the absence of standardised benchmarks, complicates the selection of appropriate models for specific systems and conditions. Future research should prioritise the development of standardised benchmarks to enable consistent comparisons across models, facilitating a better understanding of trade-offs between computational efficiency, interpretability, and accuracy. Collaborative efforts, publicly available datasets, and benchmarking initiatives are essential for validating models across diverse agrivoltaic configurations and regions.Modelling, simulation, and optimisation of agrivoltaic systems: a comprehensive reviewpublishedVersio
Examining safe urban mobility for the improved welfare and wellbeing of older people in smart cities
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Crystal Structure of Nd<inf>10.67</inf>Pt<inf>4</inf>O<inf>24,</inf> a New Neodymium Platinate
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Machine learning guided discovery and experimental validation of light rare earth Laves phases for magnetocaloric hydrogen liquefaction
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Exposure of five cementitious sealant materials to wet supercritical CO2 and CO2-saturated water under simulated downhole conditions
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