All Outputs (576)

Skin Bacterial and Fungal Microbiome Responses to Diet Supplementation and Rewilding in the Critically Endangered Southern Corroboree Frog (2024)
Journal Article
Risely, A., Byrne, P., Hunter, D., Carranco, A., Hoye, B., & Silla, A. (in press). Skin Bacterial and Fungal Microbiome Responses to Diet Supplementation and Rewilding in the Critically Endangered Southern Corroboree Frog. Molecular Ecology, Article e17562. https://doi.org/10.1111/mec.17562

The composition and dynamics of the skin bacterial and fungal microbiome is thought to influence host‐pathogen defence. This microbial community is shaped by host captivity, diet, and microbial interactions between bacterial and fungal components. Ho... Read More about Skin Bacterial and Fungal Microbiome Responses to Diet Supplementation and Rewilding in the Critically Endangered Southern Corroboree Frog.

Human amniotic membrane hydrogel loaded with exosomes derived from human placental mesenchymal stem cells accelerate diabetic wound healing (2024)
Journal Article

Diabetic wound is one of the most common and costly complication in diabetic patients. Hence, numerous studies have been carried out to discover a suitable approach to enhance the process of wound healing. Biological hydrogels are commonly utilized f... Read More about Human amniotic membrane hydrogel loaded with exosomes derived from human placental mesenchymal stem cells accelerate diabetic wound healing.

A Retrieval-Augmented Generation Based Tool to address Arsenic Contamination in Agricultural System (2024)
Presentation / Conference
Mandal, J., & Wood, M. (2024, October). A Retrieval-Augmented Generation Based Tool to address Arsenic Contamination in Agricultural System. Presented at 9th International Congress Arsenic in the Environment (As2024), Bhubaneswar, India

Arsenic (As) contamination in soil and water is a significant environmental issue that poses severe risks to human health. Despite extensive research, addressing this challenge remains complex due to its diverse source and behavior in different envir... Read More about A Retrieval-Augmented Generation Based Tool to address Arsenic Contamination in Agricultural System.

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
Xie, Y., Zhang, C., Tang, P., Hide, G., Lai, D., & Lun, Z.-R. (in press). Revealing the progression and pathologic features of intraperitoneal infection of Trichomonas vaginalis in mice via parasite α-actinin-based immunological detection. BMC Infectious Diseases, 24, Article 1173. https://doi.org/10.1186/s12879-024-10041-8

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.

Computational hemodynamic simulation of non-Newtonian fluid-structure interaction in a curved stenotic artery (2024)
Journal Article
Kuharat, S., Chaudhry, M. A., Beg, O. A., & Bég, T. A. (2024). Computational hemodynamic simulation of non-Newtonian fluid-structure interaction in a curved stenotic artery. #Journal not on list, 8(4), 226-256. https://doi.org/10.26701/ems.1492905

This paper focuses on deploying Computational Fluid Dynamics (CFD) and Fluid-Structure Interaction (FSI) to investigate key characteristics associated with Cardiovascular Diseases (CVDs), a leading cause of global mortality. CVDs encompass various he... Read More about Computational hemodynamic simulation of non-Newtonian fluid-structure interaction in a curved stenotic artery.

Enhancing the security in IoT and IIoT networks: An intrusion detection scheme leveraging deep transfer learning (2024)
Journal Article
Ahmad, B., Wu, Z., Huang, Y., & Rehman, S. U. (2024). Enhancing the security in IoT and IIoT networks: An intrusion detection scheme leveraging deep transfer learning. Knowledge-Based Systems, 305, Article 112614. https://doi.org/10.1016/j.knosys.2024.112614

The Internet of Things (IoT) networks, which are defined by their interconnected devices and data streams are an expanding attack surface for cyber adversaries. Industrial Internet of Things (IIoT) is a subset of IoT and has significant importance in... Read More about Enhancing the security in IoT and IIoT networks: An intrusion detection scheme leveraging deep transfer learning.

TWO-WAY FLUID-STRUCTURE INTERACTION HYDROELASTIC SIMULATION OF VIBRATING MEMBRANES WITH APPLICATIONS IN MARINE RENEWABLE WAVE POWER (2024)
Book Chapter

Modern ocean engineering is developing quickly and floating cities, new energy harvesting methods and novel
marine systems are unfolding in the 21st century. The intelligent design of many such systems is exploiting
“compliant” structures which d... Read More about TWO-WAY FLUID-STRUCTURE INTERACTION HYDROELASTIC SIMULATION OF VIBRATING MEMBRANES WITH APPLICATIONS IN MARINE RENEWABLE WAVE POWER.

Meshfree Radial Basis Function Pseudo-Spectral Computation of Nano-fuels in Triple-layer Magnetic Interfacial Flow (2024)
Book Chapter

Nano-energetic materials, which release high amounts of energy at the nanoscale, have shown great potential in thermal management and energy storage. We explore the potential of using CuO,Al¬_2 O_3,Ag,and TiO_2 nanoparticles to improve heat transfer... Read More about Meshfree Radial Basis Function Pseudo-Spectral Computation of Nano-fuels in Triple-layer Magnetic Interfacial Flow.

High mitochondrial DNA content is a key determinant of stemness, proliferation, cell migration, and cancer metastasis in vivo (2024)
Journal Article
Mauro-Lizcano, M., Di Pisa, F., Larrea Murillo, L., Sugden, C. J., Sotgia, F., & Lisanti, M. P. (in press). High mitochondrial DNA content is a key determinant of stemness, proliferation, cell migration, and cancer metastasis in vivo. Cell Death and Disease, 15(10), Article 745. https://doi.org/10.1038/s41419-024-07103-9

Here, we examined the potential role of mitochondrial DNA (mtDNA) levels in conveying aggressive phenotypes in cancer cells, using two widely-used breast cell lines as model systems (MCF7[ER+] and MDA-MB-231[ER-]). These human breast cancer cell line... Read More about High mitochondrial DNA content is a key determinant of stemness, proliferation, cell migration, and cancer metastasis in vivo.

Whole genomes of Amazonian uakari monkeys reveal complex connectivity and fast differentiation driven by high environmental dynamism (2024)
Journal Article

Despite showing the greatest primate diversity on the planet, genomic studies on Amazonian primates show very little representation in the literature. With 48 geolocalized high coverage whole genomes from wild uakari monkeys, we present the first pop... Read More about Whole genomes of Amazonian uakari monkeys reveal complex connectivity and fast differentiation driven by high environmental dynamism.

Thermographic Analysis of Green Wall and Green Roof Plant Types under Levels of Water Stress (2024)
Journal Article
Elkadi, H., Seifhashemi, M., & Lauwerijssen, R. (2024). Thermographic Analysis of Green Wall and Green Roof Plant Types under Levels of Water Stress. Sustainability, 16(19), 8685. https://doi.org/10.3390/su16198685

Urban green infrastructure (UGI) plays a vital role in mitigating climate change risks, including urban development-induced warming. The effective maintenance and monitoring of UGI are essential for detecting early signs of water stress and preventin... Read More about Thermographic Analysis of Green Wall and Green Roof Plant Types under Levels of Water Stress.