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Building Virtual Reality Training for Offshore Wind Turbine Assembly: An Exploratory Study with Non-Programmer Engineering Students

Building a realistic virtual reality training scenario normally calls for developer-level skills, which has kept it out of reach for students outside computing disciplines; the growing availability of AI coding assistants motivates revisiting this assumption. We report an exploratory classroom study in which 20 MSc energy engineering students, none with prior programming experience, first designed in small groups and then individually implemented VR applications for training on offshore wind ...

Impatto del metabolismo e dello stress ossidativo sui percorsi trofici nel testicolo: implicazioni per ls disfunzione riproduttiva maschile e per la risposta al trattamento con gonadotropine

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Characterisation of ancient citrus cultivars from Florentine Medici Villas by the use of Machine Learning techniques

Originated in the Eastern world, citrus plants now include countless varieties and have been used for centuries for pharmaceutical, cosmetic, food, and ornamental aims, which have made them very desirable among collectors. In the 16th century, the Medici family gathered and hybridised many citrus varieties, which are now hosted in the Florentine Medici Villas and taken care of following strict techniques, being placed outdoors from April to October while protected in citrus greenhouses durin...

The ENVRI-Hub: Advancing Multidisciplinary Collaboration and FAIR Data Integration in Environmental Research

Addressing complex environmental and climate challenges requires integrated approaches that connect data, services, and data analysis and management tools across disciplines. The ENVRI-Hub represents a transformative success story in fostering such integration. As the central gateway of the European Environmental Research Infrastructures (ENVRIs), the ENVRI-Hub also bridges disciplinary boundaries by enabling seamless access to interoperable datasets and web services across the Earth system d...

Data-driven wind farm power forecasting with Numerical weather predictions and SCADA data

Wind energy generation is becoming increasingly significant in the clean energy transition. On the one hand, enhancing the overall efficiency of wind farms presentsan obvious challenge to the broader adoption of this technology in the power productionlandscape. On the other hand, due to the nondeterministic nature of the primary energysource, improving the reliability of wind power plants is essential to ensure their effective and sustainable integration into the energy network. In this scena...

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