The project aims to investigate nonlinear wave interaction with offshore wind turbine foundations, to provide more accurate wave loads and hydrodynamic effects on the structure for the design of the foundation and superstructure. A simplified version of the design methodology for offshore oil and gas platforms is currently applied to most project developments for offshore wind farms. However, most offshore wind turbines will be installed in shallow water regions, in which viscous effects, proximity of the seabed, and other coastal processes will not be negligible.In this project a novel fully-nonlinear Boussinesq-type numerical FVM model based on a Cartesian cut cell grid will be developed to simulate high order, strongly non-linear and highly dispersive wave interaction with the proposed structure. The other advantage of the new Boussinesq formulation is that it will be the ability to accurately estimate the flow vertical velocity profile, which is important for the accurate calculation of wave loads on the structure. The proposed shock capturing, Riemann solver will render the scheme conservative, but also provide a robust approach for the simulation of breaking wave effects. Experimental model tests will also be carried out to verify the numerical simulations. Various wave interactions with the structure, and breaking wave impacts will be investigated to provide insights into the non-linear wave interactions with such structures.

Background In the UK, one in three young people are impacted by poor mental health. However, due to limited resources and personnel within the National Health Service (NHS), NHS Talking Therapies for young people are largely characterised by low availability, poor accessibility, and waiting periods exceeding six months. To help relieve the burden placed on the NHS, Artificial Intelligence (AI) chatbots - like OpenAI's ChatGPT - have been proposed as a means to deliver personalised, low-cost psychotherapy at scale. However, despite widespread recognition of their potential, there is a significant lack of research examining the effectiveness of AI-guided psychotherapeutic interventions. Notably, few interventions have been co-produced with end-users, even fewer have targeted young people, and none have been tested within UK-based populations. Aims and Objectives To help resolve these research gaps, the overarching aim of this study will be to co-produce an AI-guided psychotherapeutic intervention for UK-based young people aged 16-25. This will be achieved through the following objectives: (A) Identify the features of that will make an AI-guided intervention maximally feasible, acceptable, and effective. Using a combination of existing data from surveys, interviews, and clinical observations, along with newly collected primary data, this research will explore the factors that are crucial for successful implementation of AI-guided interventions. To achieve this, a blend of exploratory qualitative, quantitative, and mixed-methods approaches will be leveraged. (B) Draw upon user input to inform the development of an AI-guided intervention. Adhering to the Medical Research Council's framework for intervention development, the project will involve an iterative process of usability testing, participant interviews, and responsive intervention refinements. This approach is designed to ensure that the intervention is precisely tailored to the specific needs and preferences of the target population. (C) Test the impact of the AI-guided intervention within a limited pilot study. A two-arm, parallel-group randomized control pilot trial will be conducted to compare the feasibility, acceptability, and preliminary effectiveness of the AI-guided intervention with a wait-list control. External Partners To maximize the real-world impact and reach of this project, we have partnered with Healthwatch, an independent consumer champion for UK-based healthcare services. Through this partnership, Healthwatch has agreed to provide us with exclusive access to their data repository, participant recruitment support, training opportunities, and channels for research dissemination. Overseas Institutional Visits This project will also involve an overseas institutional visit to a leading AI research hub. The visit will encompass attendance at academic conferences, participation in clinical innovation competitions, and advanced training in AI ethics and applications. It will also provide valuable opportunities for research collaboration, both on the present project and other related initiatives at the host institution. ESRC Priorities This project's economic and societal impact lies within its potential to bridge the gap between the needs of NHS patients and current service provisions. Aligning closely with SWDTP and ESRC priorities, this project directly contributes to key areas such as "improving health, wellbeing, and social care" and "improving public services".

This proposal will establish electrochemistry as the state-of-the-art method to access and utilize privileged alkoxy radical intermediates. This will be achieved by introducing the first broadly applicable approach for the electrochemical generation of alkoxy radicals from unprotected alcohols and applying this to the development of a diverse range of novel electrosynthetic transformations, accessing valuable products whilst addressing an important existing deficiency in the area. The research outlined in this proposal will significantly advance the fields of organic electrosynthesis and radical chemistry in several ways, including: i. The first broadly applicable approach for the electrochemical generation and utilization of alkoxy radicals will be introduced. This area is significantly underdeveloped and remains largely limited to the anodic generation of methoxy radicals from methoxide at high potentials, which precludes general use in synthesis. ii. Electrochemically driven intermolecular PCET processes will be used to access alkoxy radicals for the first time. iii. The utilization of various distinct strategies for the diverse functionalization of C-centered radical intermediates will be employed, including trapping with SOMOphiles, Ni-catalyzed C-C cross-coupling via convergent paired electrochemistry, and trapping with nucleophiles via radical-polar crossover. iv. The application of our new electrosynthetic methods to the late-stage functionalization of (derivatives of) natural products and pharmaceuticals, lignin depolymerization, the direct functionalization of commodity chemicals, and the formation of anisole bioisosteres (bicyclo[1.1.1]pentyl ethers). A comprehensive training programme has been constructed in addition to mechanisms to facilitate a two-way knowledge transfer between host and fellow. The proposed host organisation and primary supervisor are the University of Bath and Dr Louis Morrill, respectively, due to their expertise in this area.

TBC 24/25

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