University of Manchester

Existence of Dynamical Low-Rank Approximation for SDEs with Locally Lipschitz Coefficients

Numerical simulations of high-dimensional stochastic differential equations (SDEs), which are increasingly employed in real-world applications, can be unaffordable in terms of computational time and memory. A possible solution is the deployment of reduced order methods (ROMs) tha...

Numerical Methods for Dynamical Low-Rank Approximations of Stochastic Differential Equations -- Part II: Stochastic discretization

In this second article (Part II), we analyze the numerical algorithms for the Dynamical Low-Rank Approximation (DLRA) of Stochastic Differential Equations (SDEs) introduced in Part I arXiv:2601.21428 under the perspective of the stochastic discretization. Specifically, we employ...

A Replication Study Testing the Construct Validity and Internal Consistency Reliability of the Francis Burnout Inventory Revised Among Catholic Priests in Italy

Abstract This replication study draws on data provided by a snowball sample of 264 Catholic priests serving in Italy to test the construct validity of the operationalisation of the balanced affect conceptualisation of good work-related psychological wellbeing among clergy propose...

Giddy up! Can We Reduce Dropouts in a Discrete-Choice Experiment by Including an Encouraging Message? A Randomised Trial

Background: Discrete-choice experiments (DCEs) are valuable in establishing health preferences. However, their repetitive nature may cause dropouts. Aim: Does an encouraging ‘giddy-up’ message improve completion rates, data quality and respondent experience? Design: Two online DC...

Ultrahigh resolution 19F and 31P NMR spectroscopy

Abstract NMR analyses of systems highly abundant in fluorine and phosphorus are becoming increasingly common in many areas, including pharmaceutical and environmental science. Often, such analyses can be challenging because overlap between multiplets degrades spectral resolution....

Resonant Raman Scattering from Quasi-2D Van Hove Excitons in Strain-Engineered Germanium Microstructures

Abstract We present a sub-μm spatial resolution Raman mapping study of strain-engineered germanium (Ge) micro-bridge structures, fabricated on a 220 nm silicon-on-insulator (Ge-SOI). Revision of the analytical geometric-strain model for such structures, to account for partial und...

Interplay of capillary, viscous, and gravity forces on salt precipitation and injectivity loss during CO2 storage in saline aquifers

Salt precipitation during CO 2 injection into hypersaline aquifers can significantly impair injectivity. Understanding the controls on the magnitude and spatial distribution of salt precipitation is therefore critical. Here, we use TOUGH3 model to systematically investigate the c...

‘Africans Against Malaria’—introducing a new diaspora-led initiative to strengthen malaria prevention amongst UK-based travellers visiting friends and relatives in malaria-endemic African countries

Use of malaria prevention methods, particularly chemoprophylaxis, amongst the UK-based African diaspora is low; a long-standing issue that remains inadequately addressed. Here, we present ‘Africans Against Malaria’, a unique initiative ‘led by Africans, for Africans’ to improve m...

Communicating the uncertainty of individual risk from clinical prediction tools with the PGower similarity measure

Clinical prediction models offer risk estimates for individual patients that are uncertain, even when calibration and performance at the population level are good. We compute Gower’s distance between patients in the training dataset to construct a metric against which new patient...

Children as Experts in Research and Assessment Design: A Participatory Approach to Evaluating Children and Young People’s Legal Capability

This paper reports on a co-design process adopted with children and young people when developing a situational judgement test (SJT) for use in a project that aimed to develop children’s legal capability via game-based learning. This paper details how children and young people’s e...

Predicting leadership self-concepts: The role of memory in processing self-relevant and relational events

Abstract Leaders develop through experience, particularly self-relevant and relational events that facilitate the development of domain-specific cognitive structures. Building on event system theory, we argue that coherent memory of an event can provide developmental benefits for...

Digital Transformation of Supply Chains and Corporate Green Resilience: Evidence From China's Supply Chain Innovation and Application Pilot Cities

ABSTRACT Amid growing environmental pressures and sustainability challenges, understanding how institutional reforms enhance firms' ability to cope with green‐related disruptions is of substantial importance. Exploiting China's Supply Chain Innovation and Application Pilot Cities...

Effects of a three-month exercise programme on cognition, mood and neurogenesis: the NeuroFit randomised controlled trial

Abstract Middle age represents a critical window for mental and cognitive change, yet it remains relatively understudied as a target period for preventative lifestyle interventions. We conducted a three-month randomised controlled trial in healthy middle-aged adults in the UK ( n...

Neurofeedback for functional neurological disorders: future directions for research and clinical practice

Functional neurological disorder (FND) is increasingly conceptualized as a disorder of network-level dysfunction involving altered salience processing, impaired motor intention-execution coupling and disrupted self-agency. Despite advances in multi-disciplinary rehabilitation, a...

The relationship between neighbourhood retail and mental health over time: a study with panel data

Abstract This study examines associations between the availability of different types of neighbourhood retail stores and depression prevalence, a proxy for mental health, in deprived, mid-deprived, and non-deprived neighbourhoods over time (2018–2022). It used quantitative second...

Leveraging artificial intelligence through neural network error residuals for advanced fault detection and classification in photovoltaic systems

Faults undetected in photovoltaic (PV) installations lead to wasted energy, system failures, and damage to solar modules. To mitigate these risks, intelligent and robust fault-detection algorithms are essential for PV solar energy systems. This study introduces an artificial inte...

Prompting Large Language Models with Partial Knowledge for Answering Questions with Unseen Entities

Retrieval-Augmented Generation (RAG) systems are often constrained by the “relevance myopia”, primarily focusing on fully relevant external information to supply missing or outdated facts while overlooking the potential of partially relevant knowledge to activate the internal kno...

Tunable Kondo Behavior in a Bilayer Graphene Quantum Channel

Abstract The interaction between itinerant electrons and localized spins is key to a wide range of electronic phenomena. We present conductance measurements of a quantum point contact (QPC) in bilayer graphene (BLG). Beyond the expected quantized conductance plateaus reflecting s...

What are the Unmet Needs in Managing Digestive Neuroendocrine Carcinomas?

This review highlights the major unmet needs in diagnosis and treatment of digestive neuroendocrine carcinomas (NEC) and describes the current and evolving evidence on these aspects. Improved pathological criteria are needed to accurately diagnose NEC and distinguish this entity...

Obesity, hypertension, and hyperuricemia among people living with HIV in Ghana: a cross-sectional study

Abstract Hyperuricemia is highly prevalent among people living with HIV (PLHIV), yet the influence of obesity and hypertension on hyperuricemia remains poorly characterized in sub-Saharan Africa. This study aimed to quantify the association between obesity and hyperuricemia and t...