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Families of exact similaritons with flexible modulations in N-coupled homogeneous and inhomogeneous systems (2024)
Journal Article
Huo, K., Li, B., Jia, H., Christian, J., & Yang, R. (in press). Families of exact similaritons with flexible modulations in N-coupled homogeneous and inhomogeneous systems. Physics Letters A, Article 129997. https://doi.org/10.1016/j.physleta.2024.129997

In this paper, a family of exact solutions to N-coupled nonlinear Schrödinger (N-CNLS) equations including bright and dark solitons, Akhmediev breathers, Kuznetsov-Ma breathers, and rogue waves are derived with the aid of a generic nonlinear wave ass... Read More about Families of exact similaritons with flexible modulations in N-coupled homogeneous and inhomogeneous systems.

Uncertainty-Aware Reservoir Permeability Prediction using Gaussian Processes Regression and NMR Measurements (2024)
Presentation / Conference Contribution

This study investigates the challenges of permeability prediction in reservoir engineering, focusing on addressing uncertainties inherent in the data and modelling process, and leveraging Nuclear Magnetic Resonance (NMR) log data from the Northern Se... Read More about Uncertainty-Aware Reservoir Permeability Prediction using Gaussian Processes Regression and NMR Measurements.

A New Contrastive Learning-Based Vision Transformer for Sentiment Analysis Using Scene Text Images (2024)
Journal Article
Palaiahnakote, S., Kapri, D., Saleem, M. H., & Pal, U. (2024). A New Contrastive Learning-Based Vision Transformer for Sentiment Analysis Using Scene Text Images. International Journal of Pattern Recognition and Artificial Intelligence, https://doi.org/10.1142/s0218001424520293

Sentiment analysis using scene text images is complex and challenging because it has an arbitrary background, and the method should rely on only visual features. Unlike most existing methods that use either text or images or both, this study uses onl... Read More about A New Contrastive Learning-Based Vision Transformer for Sentiment Analysis Using Scene Text Images.

Revealing the progression and pathologic features of intraperitoneal infection of Trichomonas vaginalis in mice via parasite α-actinin-based immunological detection (2024)
Journal Article

Background: Trichomoniasis caused by Trichomonas vaginalis is the most prevalent nonviral sexually transmitted disease in women and has frequently damaged public health. To better use the animal model and take a step forward fully elucidating this pa... Read More about Revealing the progression and pathologic features of intraperitoneal infection of Trichomonas vaginalis in mice via parasite α-actinin-based immunological detection.

Impact of Biochar and Water Regimes on Arsenic Transfer and Uptake in Rice: Insights into Transporter Behaviour and Soil–Plant Dynamics (2024)
Journal Article
Mandal, J. (2024). Impact of Biochar and Water Regimes on Arsenic Transfer and Uptake in Rice: Insights into Transporter Behaviour and Soil–Plant Dynamics. Exposure and Health, https://doi.org/10.1007/s12403-024-00670-4

We assessed the effect of biochar and water regimes on arsenic (As) accumulation in popular rice cultivars. These management practises altered the bioavailability of As, Si, P, and S in the soil, which in turn modulate the expression of associated As... Read More about Impact of Biochar and Water Regimes on Arsenic Transfer and Uptake in Rice: Insights into Transporter Behaviour and Soil–Plant Dynamics.

A survey of explainable artificial intelligence in healthcare: Concepts, applications, and challenges (2024)
Journal Article
Mienye, I. D., Obaido, G., Jere, N., Mienye, E., Aruleba, K., Emmanuel, I. D., & Ogbuokiri, B. (2024). A survey of explainable artificial intelligence in healthcare: Concepts, applications, and challenges. Informatics in Medicine Unlocked, 51, Article 101587. https://doi.org/10.1016/j.imu.2024.101587

Explainable AI (XAI) has the potential to transform healthcare by making AI-driven medical decisions more transparent, reliable, and ethically compliant. Despite its promise, the healthcare sector faces several challenges, including the need to balan... Read More about A survey of explainable artificial intelligence in healthcare: Concepts, applications, and challenges.

Kin recognition for incest avoidance in Damaraland mole-rats, Fukomys damarensis (2024)
Journal Article
Leedale, A. E., Vullioud, P., Seager, D., Zöttl, M., Glauser, G., & Clutton-Brock, T. (2024). Kin recognition for incest avoidance in Damaraland mole-rats, Fukomys damarensis. Proceedings of the Royal Society B: Biological Sciences, 291(2033), Article 20241138. https://doi.org/10.1098/rspb.2024.1138

Across taxa, breeding among close relatives is usually avoided because it incurs fitness costs to offspring. Incest is often averted through the dispersal of either sex from the natal area to breed. In some philopatric species, association among rela... Read More about Kin recognition for incest avoidance in Damaraland mole-rats, Fukomys damarensis.

Vector Homes Baseline Fabric Performance Report of “Vector V1 Prototype Studio” (2024)
Report
Fitton, R., Dgali, M., Henshaw, G., & Diaz, H. (in press). Vector Homes Baseline Fabric Performance Report of “Vector V1 Prototype Studio”. Innovate UK

This technical report examines the fabric performance of the Vector V1 studio, built by Vector Homes, and tested under controlled conditions at the Energy House 2.0 research facility at the University of Salford.

The aim was to evaluate the perfo... Read More about Vector Homes Baseline Fabric Performance Report of “Vector V1 Prototype Studio”.

Enhancing Image Security via Block Cyclic Construction and DNA Based LFSR (2024)
Journal Article
Deb, S., Das, A., Biswas, B., Sarkar, J. L., Khan, S. B., Alzahrani, S., & Rani, S. (2024). Enhancing Image Security via Block Cyclic Construction and DNA Based LFSR. IEEE Transactions on Consumer Electronics, 70(3), https://doi.org/10.1109/tce.2024.3481260

The rapidly growing multimedia image data driven by real-time messaging technologies is particularly evident in applications such as autonomous vehicle tracking, smart cities, surveillance systems and many more. Considering images, data privacy and s... Read More about Enhancing Image Security via Block Cyclic Construction and DNA Based LFSR.

The impact of an open-label design on human amniotic membranes vs. silver sulfadiazine dressings for second-degree burns: a randomized controlled clinical trial (2024)
Journal Article
Moghimi, M. H., Salehian, M., Abdi, M., Tahrekhani, M., Safaei, A., & Kamali, K. (in press). The impact of an open-label design on human amniotic membranes vs. silver sulfadiazine dressings for second-degree burns: a randomized controlled clinical trial. BMC Surgery, 24(1), Article 309. https://doi.org/10.1186/s12893-024-02554-5

Background: Burn wounds require optimal medical management due to associated psycho-emotional and socioeconomic impacts and severe pain. The use of synthetic and biological dressings improves healing and reduces burn wound complications. The present... Read More about The impact of an open-label design on human amniotic membranes vs. silver sulfadiazine dressings for second-degree burns: a randomized controlled clinical trial.