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Curriculum embedded journal clubs as an effective pedagogical tool to enhance academic literacy in undergraduate bioscience students (2024)
Presentation / Conference
Jones, M., & Morgan, N. (2024, May). Curriculum embedded journal clubs as an effective pedagogical tool to enhance academic literacy in undergraduate bioscience students. Poster presented at Current Challenges, Innovative Practice and Student Experience in Physiology Education, University of Salford, UK

Journal clubs are routinely used within academic research institutes and allied health professions to boost critical thinking, data analysis and disseminate knowledge of novel research concepts. These group-based discussions regarding scientific lite... Read More about Curriculum embedded journal clubs as an effective pedagogical tool to enhance academic literacy in undergraduate bioscience students.

In Vitro Investigation of Therapy-Induced Senescence and Senescence Escape in Breast Cancer Cells Using Novel Flow Cytometry-Based Methods (2024)
Journal Article
Tóth, F., Moftakhar, Z., Sotgia, F., & Lisanti, M. P. (in press). In Vitro Investigation of Therapy-Induced Senescence and Senescence Escape in Breast Cancer Cells Using Novel Flow Cytometry-Based Methods. Cells, 13(10), 841. https://doi.org/10.3390/cells13100841

Although cellular senescence was originally defined as an irreversible form of cell cycle arrest, in therapy-induced senescence models, the emergence of proliferative senescence-escaped cancer cells has been reported by several groups, challenging th... Read More about In Vitro Investigation of Therapy-Induced Senescence and Senescence Escape in Breast Cancer Cells Using Novel Flow Cytometry-Based Methods.

Thermodynamic and structural investigation of oily wastewater treatment using peach kernel and walnut shell based activated carbon (2024)
Journal Article
El Jery, A., Khedher, K. M., Mahmood Salman, H., Al-Ansari, N., Sammen, S. S., & Scholz, M. (in press). Thermodynamic and structural investigation of oily wastewater treatment using peach kernel and walnut shell based activated carbon. PloS one, 19(5), e0297024. https://doi.org/10.1371/journal.pone.0297024

Despite the many articles about activated carbon with different precursors in adsorption process, no in-depth research has been carried out to understand the causes of the difference in surface adsorption characteristics of activated carbon with diff... Read More about Thermodynamic and structural investigation of oily wastewater treatment using peach kernel and walnut shell based activated carbon.

Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor (2024)
Journal Article
Albalawi, E., T.R., M., Thakur, A., Kumar, V. V., Gupta, M., Khan, S. B., & Almusharraf, A. (in press). Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor. BMC Medical Imaging, 24(1), 110. https://doi.org/10.1186/s12880-024-01261-0

Brain tumor classification using MRI images is a crucial yet challenging task in medical imaging. Accurate diagnosis is vital for effective treatment planning but is often hindered by the complex nature of tumor morphology and variations in imaging.... Read More about Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor.

Artificial Intelligence in Next-Generation Networking: Energy Efficiency Optimization in IoT Networks Using Hybrid LEACH Protocol (2024)
Journal Article
Khan, S. B., Kumar, A., Mashat, A., Pruthviraja, D., Imam Rahmani, M. K., & Mathew, J. (in press). Artificial Intelligence in Next-Generation Networking: Energy Efficiency Optimization in IoT Networks Using Hybrid LEACH Protocol. SN Computer Science, 5(5), 546. https://doi.org/10.1007/s42979-024-02778-5

The convergence of the Internet of Things (IoT) and Artificial Intelligence (AI) is significantly transforming the landscape of future networking. The Internet of Things (IoT) is a technological paradigm that encompasses embedded systems, wireless se... Read More about Artificial Intelligence in Next-Generation Networking: Energy Efficiency Optimization in IoT Networks Using Hybrid LEACH Protocol.

Artificial Intelligence-Driven Enhanced CBR Modeling of Sandy Soils Considering Broad Grain Size Variability (2024)
Journal Article
ur Rehman, Z., Aziz, Z., Khalid, U., Ijaz, N., ur Rehman, S., & Ijaz, Z. (in press). Artificial Intelligence-Driven Enhanced CBR Modeling of Sandy Soils Considering Broad Grain Size Variability. #Journal not on list,

The soil packing, influenced by variations in grain size and the gradation pattern within the soil matrix, plays a crucial role in constituting the mechanical properties of sandy soils. However, previous modeling approaches have overlooked incorporat... Read More about Artificial Intelligence-Driven Enhanced CBR Modeling of Sandy Soils Considering Broad Grain Size Variability.

Overcoming the red tape: The challenges of designing and evaluating a digital escape room platform. (2024)
Presentation / Conference
Jones, M., & Morgan, N. (2024, May). Overcoming the red tape: The challenges of designing and evaluating a digital escape room platform. Presented at Escape Rooms in Education 2024, Online

With students increasingly accessing content via digital sources rather than in-person due to factors including the increased cost of living, identifying new ways to engage students via digital mediums is paramount. One example of this is digital esc... Read More about Overcoming the red tape: The challenges of designing and evaluating a digital escape room platform..

Towards blockchain based federated learning in categorizing healthcare monitoring devices on artificial intelligence of medical things investigative framework (2024)
Journal Article
Ahmed, S. T., Mahesh, T. R., Srividhya, E., Vinoth Kumar, V., Khan, S. B., Albuali, A., & Almusharraf, A. (in press). Towards blockchain based federated learning in categorizing healthcare monitoring devices on artificial intelligence of medical things investigative framework. BMC Medical Imaging, 24(1), 105. https://doi.org/10.1186/s12880-024-01279-4

Categorizing Artificial Intelligence of Medical Things (AIoMT) devices within the realm of standard Internet of Things (IoT) and Internet of Medical Things (IoMT) devices, particularly at the server and computational layers, poses a formidable challe... Read More about Towards blockchain based federated learning in categorizing healthcare monitoring devices on artificial intelligence of medical things investigative framework.

Nature-based solutions to increase rice yield: An experimental assessment of the role of birds and bats as agricultural pest suppressors in West Africa (2024)
Journal Article
Sottomayor, M., Palmeirim, A. F., Meyer, C. F. J., De Lima, R. F., Rocha, R., & Rainho, A. (2024). Nature-based solutions to increase rice yield: An experimental assessment of the role of birds and bats as agricultural pest suppressors in West Africa. Agriculture, ecosystems & environment, 370, Article 109067. https://doi.org/10.1016/j.agee.2024.109067

Rice is widely consumed as a staple food, being cultivated worldwide. However, in West Africa, production is not enough to satisfy demand. Rice often suffers intensive damage by herbivorous arthropods that affect quality and quantity of the grain. Bi... Read More about Nature-based solutions to increase rice yield: An experimental assessment of the role of birds and bats as agricultural pest suppressors in West Africa.