Outputs (310)

Urban vegetable contamination - The role of adhering particles and their significance for human exposure. (2023)
Journal Article
Augustsson, A., Lundgren, M., Qvarforth, A., Engström, E., Paulukat, C., Rodushkin, I., …Hough, R. L. (2023). Urban vegetable contamination - The role of adhering particles and their significance for human exposure. #Journal not on list, 900, 165633. https://doi.org/10.1016/j.scitotenv.2023.165633

While urban-grown vegetables could help combat future food insecurity, the elevated levels of toxic metals in urban soils need to be met with measures that minimise transfer to crops. The study firstly examines soil/dust particle inclusion in leafy v... Read More about Urban vegetable contamination - The role of adhering particles and their significance for human exposure..

Detection of Alzheimer’s Disease Based on Cloud-Based Deep Learning Paradigm (2023)
Journal Article
Pruthviraja, D., Nagaraju, S. C., Mudligiriyappa, N., Raisinghani, M. S., Khan, S. B., Alkhaldi, N. A., & Malibari, A. A. (in press). Detection of Alzheimer’s Disease Based on Cloud-Based Deep Learning Paradigm. Diagnostics, 13(16), 2687. https://doi.org/10.3390/diagnostics13162687

Deep learning is playing a major role in identifying complicated structure, and it outperforms in term of training and classification tasks in comparison to traditional algorithms. In this work, a local cloud-based solution is developed for classific... Read More about Detection of Alzheimer’s Disease Based on Cloud-Based Deep Learning Paradigm.

A novel CNN gap layer for growth prediction of palm tree plantlings (2023)
Journal Article
Kumar, T. A., Rajmohan, R., Adeola Ajagbe, S., Gaber, T., Zeng, X., & Masmoudi, F. (in press). A novel CNN gap layer for growth prediction of palm tree plantlings. PloS one, 18(8), e0289963. https://doi.org/10.1371/journal.pone.0289963

Monitoring palm tree seedlings and plantlings presents a formidable challenge because of the microscopic size of these organisms and the absence of distinguishing morphological characteristics. There is a demand for technical approaches that can prov... Read More about A novel CNN gap layer for growth prediction of palm tree plantlings.

Acoustic and Psychoacoustic Characterisation of Small-Scale Contra-Rotating Propellers (2023)
Journal Article
Casagrande Hirono, F., Robertson, J., & Torija Martinez, A. J. (2023). Acoustic and Psychoacoustic Characterisation of Small-Scale Contra-Rotating Propellers. Journal of Sound and Vibration, 569, https://doi.org/10.1016/j.jsv.2023.117971

This paper reports an experimental investigation of noise radiation and psychoacoustic evaluation of contra-rotating propellers with different blade counts over multiple emission angles and thrust settings. A series of aeroacoustic and psychoacoustic... Read More about Acoustic and Psychoacoustic Characterisation of Small-Scale Contra-Rotating Propellers.

Highly sensitive multifunction protection coordination scheme for improved reliability of power systems with distributed generation (PVs) (2023)
Journal Article
Alasali, F., El‐Naily, N., Saidi, A. S., Itradat, A., Holderbaum, W., & Mohamed, F. A. (in press). Highly sensitive multifunction protection coordination scheme for improved reliability of power systems with distributed generation (PVs). IET Renewable Power Generation, https://doi.org/10.1049/rpg2.12820

The high penetration of distribution generators (DGs), such as photovoltaic (PV), has made optimal overcurrent coordination a major concern for power protection. In the literature, the conventional single or multi‐objective function (OF) for phase ov... Read More about Highly sensitive multifunction protection coordination scheme for improved reliability of power systems with distributed generation (PVs).

An Approach to Binary Classification of Alzheimer’s Disease Using LSTM (2023)
Journal Article
Salehi, W., Baglat, P., Gupta, G., Khan, S. B., Almusharraf, A., Alqahtani, A., & Kumar, A. (in press). An Approach to Binary Classification of Alzheimer’s Disease Using LSTM. Bioengineering, 10(8), 950. https://doi.org/10.3390/bioengineering10080950

In this study, we use LSTM (Long-Short-Term-Memory) networks to evaluate Magnetic Resonance Imaging (MRI) data to overcome the shortcomings of conventional Alzheimer’s disease (AD) detection techniques. Our method offers greater reliability and accur... Read More about An Approach to Binary Classification of Alzheimer’s Disease Using LSTM.

Seasonal development of a tidal mixing front drives shifts in community structure and diversity of bacterioplankton (2023)
Journal Article
King, N. G., Wilmes, S., Browett, S. S., Healey, A., McDevitt, A. D., McKeown, N. J., …Malham, S. (in press). Seasonal development of a tidal mixing front drives shifts in community structure and diversity of bacterioplankton. Molecular Ecology, https://doi.org/10.1111/mec.17097

Bacterioplankton underpin biogeochemical cycles and an improved understanding of the patterns and drivers of variability in their distribution is needed to determine their wider functioning and importance. Sharp environmental gradients and dispersal... Read More about Seasonal development of a tidal mixing front drives shifts in community structure and diversity of bacterioplankton.

HemiPy: A Python module for automated estimation of forest biophysical variables and uncertainties from digital hemispherical photographs (2023)
Journal Article
Brown, L. A., Morris, H., Leblanc, S., Bai, G., Lanconelli, C., Gobron, N., …Dash, J. (2023). HemiPy: A Python module for automated estimation of forest biophysical variables and uncertainties from digital hemispherical photographs. Methods in Ecology and Evolution, https://doi.org/10.1111/2041-210x.14199

Digital hemispherical photography (DHP) is widely used to derive forest biophysical variables including leaf, plant, and green area index (LAI, PAI and GAI), the fraction of intercepted photosynthetically active radiation (FIPAR), and the fraction of... Read More about HemiPy: A Python module for automated estimation of forest biophysical variables and uncertainties from digital hemispherical photographs.

Climate determines transmission hotspots of Polycystic Echinococcosis, a life-threatening zoonotic disease, across Pan-Amazonia (2023)
Journal Article
San-José, A., Mayor, P., Carvalho, B., El Bizri, H. R., Antunes, A. P., Antunez Correa, M., …Munari, D. P. (2023). Climate determines transmission hotspots of Polycystic Echinococcosis, a life-threatening zoonotic disease, across Pan-Amazonia. Proceedings of the National Academy of Sciences of the United States of America, 120(33), e2302661120. https://doi.org/10.1073/pnas.2302661120

Polycystic Echinococcosis (PE), a neglected life-threatening zoonotic disease caused by the cestode is endemic in the Amazon. Despite being treatable, PE reaches a case fatality rate of around 29% due to late or missed diagnosis. PE is sustained in... Read More about Climate determines transmission hotspots of Polycystic Echinococcosis, a life-threatening zoonotic disease, across Pan-Amazonia.

Functional screening reveals Toxoplasma prenylated proteins required for endocytic trafficking and rhoptry protein sorting (2023)
Journal Article
Wang, Q., Sun, M., Tang, T., Lai, D., Liu, J., Maity, S., …Long, S. (2023). Functional screening reveals Toxoplasma prenylated proteins required for endocytic trafficking and rhoptry protein sorting. mBio, https://doi.org/10.1128/mbio.01309-23

In the apicomplexans, endocytosed cargos (e.g., hemoglobin) are trafficked to a specialized organelle for digestion. This follows a unique endocytotic process at the micropore/cytostome in these parasites. However, the mechanism underlying endocytic... Read More about Functional screening reveals Toxoplasma prenylated proteins required for endocytic trafficking and rhoptry protein sorting.