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All Outputs (859)

PO369: Introduction to the UK PIVOT-vWD Study: A direct to community, cross-sectional study to capture and quantify the impact, voice and outcomes of VWD (2025)
Presentation / Conference Contribution
Morgan, G., Burt, K., Traunter, J., Morgan, D., Yarnell, H., & Bristow, S. (2025, February). PO369: Introduction to the UK PIVOT-vWD Study: A direct to community, cross-sectional study to capture and quantify the impact, voice and outcomes of VWD. Poster presented at 18th Annual Congress of the European Association for Haemophilia and Allied Disorders, Milan, Italy

Objectives There is a paucity of new evidence/literature on the clinical outcomes, healthcare resource use (HCRU), cost and the quality-of-life (QoL) impact on those with von Willebrand Disease (VWD). The PIVOT-VWD study aims to collect patient gener... Read More about PO369: Introduction to the UK PIVOT-vWD Study: A direct to community, cross-sectional study to capture and quantify the impact, voice and outcomes of VWD.

Structural Risk Modelling-Indian Mergers & Acquisitions (2025)
Presentation / Conference Contribution
Bhattarai, K., Prasuna, A., & Siva Kumar, S. N. V. (2025, January). Structural Risk Modelling-Indian Mergers & Acquisitions. Paper presented at 2025 ASSA Annual Meeting, San Francisco, California

Primary survey data of Indian M&A transactions were used to test the hypotheses on latent risk factors. A structural equation model (SEM) model was estimated to assess the composite risk factors considering financial, non-financial, and sustainabilit... Read More about Structural Risk Modelling-Indian Mergers & Acquisitions.

Proceedings: SimBio-M 2024 (ed. Peter Zioupos, Christophe Bastien) (2024)
Presentation / Conference Contribution
(2024, September). Proceedings: SimBio-M 2024 (ed. Peter Zioupos, Christophe Bastien). Presented at SimBio-M 2024, Online

This conference introduces new technologies, advances and tools in the various fields of Simulation in Biosciences and Multiphysics, notably in the areas of BioMechanics, BioMaterials, and BioMedicine.

While the conference concentrates mainly on t... Read More about Proceedings: SimBio-M 2024 (ed. Peter Zioupos, Christophe Bastien).

Nightports at Hull Minster: Transporting a Site-Specific Musical Work Across Physical and Virtual Spaces (2024)
Presentation / Conference Contribution
Barnard, M., Martin, A., & Slater, M. (2024, July). Nightports at Hull Minster: Transporting a Site-Specific Musical Work Across Physical and Virtual Spaces. Presented at ICMC2024. Sound In Motion, Seoul

'Nightports at Hull Minster' is a musical project that harnesses spatialisation techniques to present music composed of the sounds of Hull Minster, UK, in both the location itself and alternative performance spaces, whilst still expressing the spatia... Read More about Nightports at Hull Minster: Transporting a Site-Specific Musical Work Across Physical and Virtual Spaces.

Tailored Risk Assessment and Forecasting in Intermittent Claudication: A Proof of Concept Decision Support Tool (2024)
Presentation / Conference Contribution
Ravindhran, B., Prosser, J., Lim, A., Mishra, B., Lathan, R., Hitchman, L., Smith, G., Carradice, D., Thakker, D., Pymer, S., & Chetter, I. (2024, June). Tailored Risk Assessment and Forecasting in Intermittent Claudication: A Proof of Concept Decision Support Tool. Presented at The European Society for Vascular Surgery Translational Spring Meeting 2024, Stockholm, Sweden

Understanding Slang with LLMs: Modelling Cross-Cultural Nuances through Paraphrasing (2024)
Presentation / Conference Contribution
Wuraola, I., Dethlefs, N., & Marciniak, D. (2024, November). Understanding Slang with LLMs: Modelling Cross-Cultural Nuances through Paraphrasing. Presented at 2024 Conference on Empirical Methods in Natural Language Processing, Miami, FLorida, USA

In the realm of social media discourse, the integration of slang enriches communication, reflecting the sociocultural identities of users. This study investigates the capability of large language models (LLMs) to paraphrase slang within climate-relat... Read More about Understanding Slang with LLMs: Modelling Cross-Cultural Nuances through Paraphrasing.

IGHV Unmutated Status, Low Tumor Lysis Risk Disease and BRAF Mutated Status Are Predictors for Early MRD Responders Treated with MRD Defined Ibrutinib with Venetoclax: Report of the UK NCRI FLAIR Study (2024)
Presentation / Conference Contribution
Munir, T., Varghese, A. M., Bloor, A., Allsup, D., Cwynarski, K., Pettitt, A., Paneesha, S., Fox, C. P., Eyre, T. A., Forconi, F., Elmusharaf, N., Kennedy, B., Gribben, P. J. G., Pemberton, N., Sheehy, O., Preston, G., Schuh, A., Hockaday, A., Cairns, D. A., Jackson, S., …Hillmen, P. (2024, December). IGHV Unmutated Status, Low Tumor Lysis Risk Disease and BRAF Mutated Status Are Predictors for Early MRD Responders Treated with MRD Defined Ibrutinib with Venetoclax: Report of the UK NCRI FLAIR Study. Presented at 66th American Society of Haematology Annual Meeting, San Diego

Survival Outcomes of Patients with Relapsed/Refractory Chronic Lymphocytic Leukemia (CLL) Treated in the Chemoimmunotherapy Vs BTK Inhibitor (BTKi) Eras: A European Research Initiative on CLL (ERIC) Study (2024)
Presentation / Conference Contribution
C, T., Minga, E., Karakatsoulis, G., Albi, E., Alcoceba, M., Allsup, D., Bacchiarri, F., Besikli-Dimou, S., Chatzileontiadou, S., Collado, R., Davis, Z., Dimou, M., Donaldson, D., Efstathopoulou, M., Galimberti, S., Galitzia, A., Gimeno, E., Guarente, V., Hatzimichael, E., Hernandez-Rivas, J.-A., …Scarfo, L. (2024, December). Survival Outcomes of Patients with Relapsed/Refractory Chronic Lymphocytic Leukemia (CLL) Treated in the Chemoimmunotherapy Vs BTK Inhibitor (BTKi) Eras: A European Research Initiative on CLL (ERIC) Study. Presented at American Society of Hematology 66th Annual Meeting, San Diego, California

A Single Shot Multi-Head Gender, Age, and Landmarks Detection using Shared Convolution Features (2024)
Presentation / Conference Contribution
Khan, G., Pimbblet, K., Wertheim, K., & Ahmed, W. (2024, August). A Single Shot Multi-Head Gender, Age, and Landmarks Detection using Shared Convolution Features. Presented at 2024 29th International Conference on Automation and Computing (ICAC), Sunderland, United Kingdom

Considering the face as a vital and most informative portion of the human body, it reflects different high-level information about an individual. This high-level information includes Age, Gender, and Emotion. Facial muscles' shape and movement can be... Read More about A Single Shot Multi-Head Gender, Age, and Landmarks Detection using Shared Convolution Features.

LLM Based Cross Modality Retrieval to Improve Recommendation Performance (2024)
Presentation / Conference Contribution
Anwaar, F., Khan, A. M., & Khalid, M. (2024, August). LLM Based Cross Modality Retrieval to Improve Recommendation Performance. Presented at 2024 29th International Conference on Automation and Computing (ICAC), Sunderland, UK

The metadata of items and users play an important role in improving the decision-making process in the Recom-mender System. In recent times, web scraping-based techniques have been widely utilized to extract explicit user and item meta-data from diff... Read More about LLM Based Cross Modality Retrieval to Improve Recommendation Performance.

Empowering Women Leaders in a Time of Crisis: Fostering Inclusion in Ukrainian Academia (2024)
Presentation / Conference Contribution
Gonzalez-Arnal, S., & Marakhovska, N. (2024, June). Empowering Women Leaders in a Time of Crisis: Fostering Inclusion in Ukrainian Academia. Presented at II International Conference Political and Economic Self-Constitution: Migration, Inequalities and Discrimination., University of the Peloponnese, Corinth, Greece

Play Your Way Into Production: Game-based Skills Development for the Screen Industries (2024)
Presentation / Conference Contribution
Brereton, J., Jones, B., Reeve, C., Zborowski, J., & Bramwell-Dicks, A. (2024, October). Play Your Way Into Production: Game-based Skills Development for the Screen Industries. Presented at Proceedings of the European Conference on Games-based Learning, Aarhus University, Denmark

Screen industry employers report they are unable to recruit graduates with the right skills for entry level roles in film and television (e.g. runners or production assistants), citing a lack of business awareness and various ‘soft skills’ as barrier... Read More about Play Your Way Into Production: Game-based Skills Development for the Screen Industries.

Crafting Tomorrow's Evaluations: Assessment Design Strategies in the Era of Generative AI (2024)
Presentation / Conference Contribution
Kadel, R., Mishra, B. K., Shailendra, S., Abid, S., Rani, M., & Mahato, S. P. (2024, July). Crafting Tomorrow's Evaluations: Assessment Design Strategies in the Era of Generative AI. Presented at 2024 International Symposium on Educational Technology, ISET 2024, Macau

In recent years, no other technology has revolutionised our life as Generative Artificial Intelligence (GenAI). GenAI has gained the attention of a myriad of users in almost every profession. Its advancement has had an intense impact on education, si... Read More about Crafting Tomorrow's Evaluations: Assessment Design Strategies in the Era of Generative AI.

Smoothing the Digital Identity Onboarding Process (2024)
Presentation / Conference Contribution
Spiliotopoulos, T., & Dover, R. (2024, September). Smoothing the Digital Identity Onboarding Process. Presented at SPRITE+ Showcase 2024: Understandings of Identity, Online

Empathy Matters: Inclusive Co-design (2024)
Presentation / Conference Contribution
Kaegi, A., & Fallin, L. (2024, September). Empathy Matters: Inclusive Co-design. Presented at RAISE Conference 2024: Equity in Attainment & Student Success, University of Leicester

The effectiveness of inclusive teaching is crucially dependent on whether the curricula and wider learning environment are themselves inclusive. The sharp growth in and internationalisation of the PGT cohorts on Masters programmes in Education at Hul... Read More about Empathy Matters: Inclusive Co-design.

Small intimacies: Knowing and caring for (a) landscape (2024)
Presentation / Conference Contribution
Horkan, T. (2024, September). Small intimacies: Knowing and caring for (a) landscape. Paper presented at Association for the Study of Literature and the Environment (ASLE-UKI) Biannual Postgraduate Conference 2024, University of Edinburgh

Spurn is a narrow sandy spit on the Holderness Coast of East Yorkshire, UK, jutting out into the mouth of the Humber Estuary, and is a place of rich ecological and historical interest. It is also an unpredictable and rapidly transforming landscape, c... Read More about Small intimacies: Knowing and caring for (a) landscape.

Digital Health and Indoor Air Quality: An IoT- Driven Human-Centred Visualisation Platform for Behavioural Change and Technology Acceptance (2024)
Presentation / Conference Contribution
Kureshi, R. R., Mazumdar, S., Mishra, B. K., Li, X., & Thakker, D. (2023, December). Digital Health and Indoor Air Quality: An IoT- Driven Human-Centred Visualisation Platform for Behavioural Change and Technology Acceptance. Presented at 4th International Conference on Distributed Sensing and Intelligent Systems (ICDSIS 2023), Dubai, UAE

The detrimental effects of air pollutants on human health have prompted increasing concerns regarding indoor air quality (IAQ). The emergence of digital health interventions and citizen science initiatives has provided new avenues for raising awarene... Read More about Digital Health and Indoor Air Quality: An IoT- Driven Human-Centred Visualisation Platform for Behavioural Change and Technology Acceptance.

Deep Learning-Based Colorectal Cancer Image Segmentation and Classification: A Concise Bibliometric Analysis (2024)
Presentation / Conference Contribution
Fagbola, T. M., Aderemi, E. T., & Thakur, C. S. (2024, August). Deep Learning-Based Colorectal Cancer Image Segmentation and Classification: A Concise Bibliometric Analysis. Presented at 7th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD), Mauritius

The use of Deep Learning (DL)-based methods for Colorectal Cancer (CRC) classification and segmentation has gained significant attention in recent times. This study employs a bibliometric analysis to investigate the state-of-The-art research on DL-ba... Read More about Deep Learning-Based Colorectal Cancer Image Segmentation and Classification: A Concise Bibliometric Analysis.

DeepCAI-V3: Improved Brain Tumor Classification from Noisy Brain MR Images using Convolutional Autoencoder and Inception-V3 Architecture (2024)
Presentation / Conference Contribution
Babaferi, E. V., Fagbola, T. M., & Thakur, C. S. (2024, August). DeepCAI-V3: Improved Brain Tumor Classification from Noisy Brain MR Images using Convolutional Autoencoder and Inception-V3 Architecture. Presented at 7th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, Mauritius

Brain tumors are abnormal cell growths within the brain tissues, necessitating their early detection towards effective treatment. To achieve this, high-quality brain images via medical imaging techniques, such as Magnetic Resonance Imaging (MRI), are... Read More about DeepCAI-V3: Improved Brain Tumor Classification from Noisy Brain MR Images using Convolutional Autoencoder and Inception-V3 Architecture.