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The adoption of big data analytics in Jordanian SMEs: An extended technology organization environment framework with diffusion of innovation and perceived usefulness (2024)
Journal Article
Al-shanableh, N., Alzyoud, M., Alomar, S., Kilani, Y., Nashnush, E., Al-Hawary, S., & Al-Momani, A. (2024). The adoption of big data analytics in Jordanian SMEs: An extended technology organization environment framework with diffusion of innovation and perceived usefulness. International journal of data and network science (Print), 8(2), 753-764. https://doi.org/10.5267/j.ijdns.2024.1.003

While many small and medium enterprises (SMEs)recognize the benefits of Big Data Analytics (BDA) for digital transformation, they face challenges in implementing this technology, highlighting the need for more research on its adoption by SMEs. The ob... Read More about The adoption of big data analytics in Jordanian SMEs: An extended technology organization environment framework with diffusion of innovation and perceived usefulness.

A Comprehensive Review of Most Competitive Maximum Power Point Tracking Techniques for Enhanced Solar Photovoltaic Power Generation (2024)
Journal Article
Al Garni, H. Z., Sundaram, A., Awasthi, A., Chandel, R., Tajjour, S., & Singh Chandel, S. (2024). A Comprehensive Review of Most Competitive Maximum Power Point Tracking Techniques for Enhanced Solar Photovoltaic Power Generation. #Journal not on list, 11(3), 60-80. https://doi.org/10.30501/jree.2024.408699.1638

A major design challenge for a grid-integrated photovoltaic power plant is to generate maximum power under varying loads, irradiance, and outdoor climatic conditions using competitive algorithm-based controllers. The objective of this study is to rev... Read More about A Comprehensive Review of Most Competitive Maximum Power Point Tracking Techniques for Enhanced Solar Photovoltaic Power Generation.

Valorisation of citrus waste for sustainable synthesis of carbon-supported copper nanoparticles active in CO 2 electroreduction (2024)
Journal Article

This study describes a microwave-assisted hydrothermal method to synthesise carbon-supported Cu-based electrocatalysts for CO2 conversion using citrus peels as both the carbon precursor and the reducing agent for Cu cations. XPS, TEM, and XRD analyse... Read More about Valorisation of citrus waste for sustainable synthesis of carbon-supported copper nanoparticles active in CO 2 electroreduction.

Enhancing Drug Discovery and Patient Care through Advanced Analytics with The Power of NLP and Machine Learning in Pharmaceutical Data Interpretation (2024)
Journal Article

This study delves into the transformative potential of Machine Learning (ML) and Natural Language Processing (NLP) within the pharmaceutical industry, spotlighting their significant impact on enhancing medical research methodologies... Read More about Enhancing Drug Discovery and Patient Care through Advanced Analytics with The Power of NLP and Machine Learning in Pharmaceutical Data Interpretation.

Advanced voltage relay design for distance relay coordination in power networks equipped with low‐inertia areas (2024)
Journal Article
Alasali, F., El‐Naily, N., Mustafa, H. Y., Loukil, H., Saad, S. M., Saidi, A. S., & Holderbaum, W. (2024). Advanced voltage relay design for distance relay coordination in power networks equipped with low‐inertia areas. IET Generation, Transmission and Distribution, 19, Article e13338. https://doi.org/10.1049/gtd2.13338

In modern power systems with high levels of distributed generation (DG), traditional protection schemes face challenges in ensuring reliable and efficient fault detection due to the complexities introduced by DG, particularly low‐inertia sources such... Read More about Advanced voltage relay design for distance relay coordination in power networks equipped with low‐inertia areas.

How universities teach cybersecurity courses online: a systematic literature review (2024)
Journal Article
Ahmed, A., Watterson, C., Alhashmi, S., & Gaber, T. (in press). How universities teach cybersecurity courses online: a systematic literature review. #Journal not on list, 6, Article 1499490. https://doi.org/10.3389/fcomp.2024.1499490

Introduction: Distance learning has seen a significant increase as educational institutions have shifted toward offering online courses. Although some institutions quickly adapted, many struggled to modify traditional materials for online learners. T... Read More about How universities teach cybersecurity courses online: a systematic literature review.

ALDHHigh Breast Cancer Stem Cells Exhibit a Mesenchymal–Senescent Hybrid Phenotype, with Elevated Metabolic and Migratory Activities (2024)
Journal Article
Larrea Murillo, L., Sugden, C. J., Ozsvari, B., Moftakhar, Z., Hassan, G. S., Sotgia, F., & Lisanti, M. P. (in press). ALDHHigh Breast Cancer Stem Cells Exhibit a Mesenchymal–Senescent Hybrid Phenotype, with Elevated Metabolic and Migratory Activities. Cells, 13(24), 2059. https://doi.org/10.3390/cells13242059

Cancer stem cells (CSCs) account for 0.01 to 2% of the total tumor mass; however, they play a key role in tumor progression, metastasis and resistance to current cancer therapies. The generation and maintenance of CSCs are usually linked to the epith... Read More about ALDHHigh Breast Cancer Stem Cells Exhibit a Mesenchymal–Senescent Hybrid Phenotype, with Elevated Metabolic and Migratory Activities.

Subtle diurnal microbial rhythms in a large mammalian carnivore (2024)
Journal Article
Melville, D. W., Rojas, C. A., Risely, A., & Theis, K. R. (in press). Subtle diurnal microbial rhythms in a large mammalian carnivore. Journal of Mammalogy, https://doi.org/10.1093/jmammal/gyae143

Mounting evidence suggests that the cyclic interaction between host cells and the gut microbiota orchestrates metabolic and immunological homeostasis throughout the day. Yet, examples of gut microbial rhythms in natural populations are scarce, limiti... Read More about Subtle diurnal microbial rhythms in a large mammalian carnivore.

Build it and they will come? - A case study of a 'softer landings' approach in creating a low-carbon community (2024)
Journal Article

This paper explores an emerging low-carbon construction business model through a case study of a low-carbon community supported by a private Small to Medium Enterprise (SME) in Lincolnshire. The study highlights the developer's extended aftercare and... Read More about Build it and they will come? - A case study of a 'softer landings' approach in creating a low-carbon community.

Effects of 1H-1,2,3-Triazole Derivatives of 3-O-Acetyl-11-Keto-Beta-Boswellic Acid from Boswellia sacra Resin on T-Cell Proliferation and Activation (2024)
Journal Article
Meyiah, A., Avula, S. K., Al-Harrasi, A., & Elkord, E. (in press). Effects of 1H-1,2,3-Triazole Derivatives of 3-O-Acetyl-11-Keto-Beta-Boswellic Acid from Boswellia sacra Resin on T-Cell Proliferation and Activation. Pharmaceuticals, 17(12), 1650. https://doi.org/10.3390/ph17121650

Background: 3-O-acetyl-11-keto-β-boswellic acid (β-AKBA), a triterpene natural product, is one of the main natural products of Boswellia sacra resin (BSR) and has reported biological and immunomodulatory effects. 1H-1,2,3-triazole derivatives of β-AK... Read More about Effects of 1H-1,2,3-Triazole Derivatives of 3-O-Acetyl-11-Keto-Beta-Boswellic Acid from Boswellia sacra Resin on T-Cell Proliferation and Activation.

Integrating susceptibility maps of multiple hazards and building exposure distribution: a case study of wildfires and floods for the province of Quang Nam, Vietnam (2024)
Journal Article

Natural hazards have serious impacts worldwide on society, economy, and environment. In Vietnam, through- out the years, natural hazards have caused significant loss of lives as well as severe devastation to houses, crops, and trans- portation. This... Read More about Integrating susceptibility maps of multiple hazards and building exposure distribution: a case study of wildfires and floods for the province of Quang Nam, Vietnam.

The cadenza woodwind dataset: Synthesised quartets for music information retrieval and machine learning. (2024)
Journal Article

This paper presents the Cadenza Woodwind Dataset. This publicly available data is synthesised audio for woodwind quartets including renderings of each instrument in isolation. The data was created to be used as training data within Cadenza's second o... Read More about The cadenza woodwind dataset: Synthesised quartets for music information retrieval and machine learning..

Soft set-based MSER end-to-end system for occluded scene text detection, recognition and prediction (2024)
Journal Article
Das, A., Palaiahnakote, S., Banerjee, A., Antonacopoulos, A., & Pal, U. (2024). Soft set-based MSER end-to-end system for occluded scene text detection, recognition and prediction. Knowledge-Based Systems, https://doi.org/10.1016/j.knosys.2024.112593

The presence of unpredictable occlusions on natural scene text is a significant challenge, exacerbating the difficulties already posed on text detection and recognition by the variability of such images. Addressing the need for a robust, consistently... Read More about Soft set-based MSER end-to-end system for occluded scene text detection, recognition and prediction.

Advanced Modelling and Performance Analysis of a Separately Excited Direct-Current Motor Powered by Photovoltaic Generators Using Maximum Power Point Tracking Techniques (2024)
Journal Article
Alasali, F., O. Sweidan, T., I. Abuashour, M., & Holderbaum, W. (2024). Advanced Modelling and Performance Analysis of a Separately Excited Direct-Current Motor Powered by Photovoltaic Generators Using Maximum Power Point Tracking Techniques. Journal of Low Power Electronics and Applications, 14(4), Article 56. https://doi.org/10.3390/jlpea14040056

The integration of photovoltaic (PV) systems into DC motor drives has prompted the enhancement of motor performance. This study explores the application of photovoltaic generators (PVs) to independently power and excite a Separately Excited Direct-Cu... Read More about Advanced Modelling and Performance Analysis of a Separately Excited Direct-Current Motor Powered by Photovoltaic Generators Using Maximum Power Point Tracking Techniques.