All Outputs (438)

Synergetic integration of vertical farms and buildings: reducing the use of energy, water, and nutrients (2023)
Journal Article
Blom, T., Jenkins, A., & van den Dobbelsteen, A. (2023). Synergetic integration of vertical farms and buildings: reducing the use of energy, water, and nutrients. #Journal not on list, 7, https://doi.org/10.3389/fsufs.2023.1227672

Vertical farms use some resources very efficiently. However, their electricity use is considerable, and a significant amount of waste heat is produced. This paper investigates how the integration of vertical farms in buildings could reduce the use of... Read More about Synergetic integration of vertical farms and buildings: reducing the use of energy, water, and nutrients.

Large-eddy simulations of wind flow passing a building cluster (2023)
Conference Proceeding
Nguyen, C. H., Lasagna, D., & Xie, Z. (2023). Large-eddy simulations of wind flow passing a building cluster.

This paper presents high fidelity large-eddy simulations (LES) of wind flows with different directions passing a cluster of 2 × 2 aligned square cylinders, of which each has side length of D, at Reynolds number Re = 22, 000. A so-called 'cluster effe... Read More about Large-eddy simulations of wind flow passing a building cluster.

First known extinct feathertail possums (Acrobatidae, Marsupialia): palaeobiodiversity, phylogenetics, palaeoecology and palaeogeography (2023)
Journal Article
Fabian, P. R., Archer, M., Hand, S. J., & Beck, R. M. (in press). First known extinct feathertail possums (Acrobatidae, Marsupialia): palaeobiodiversity, phylogenetics, palaeoecology and palaeogeography. Alcheringa, 1-22. https://doi.org/10.1080/03115518.2023.2242439

Four new fossil feathertail possum species (Marsupialia, Diprotodontia, Phalangerida, Petauroidea, Acrobatidae) are described from late Oligocene to middle Miocene fossil deposits in the Riversleigh World Heritage Area, northwestern Queensland. They... Read More about First known extinct feathertail possums (Acrobatidae, Marsupialia): palaeobiodiversity, phylogenetics, palaeoecology and palaeogeography.

Using Smart Sensors to Track Woody Debris in Flume Experiments (2023)
Journal Article
Sgarabotto, A., Majtan, E., Manzella, I., Raby, A., Fourtakas, G., Rogers, B. D., …Franco, C. L. A. A. M. (2023). Using Smart Sensors to Track Woody Debris in Flume Experiments. https://doi.org/10.3850/978-90-833476-1-5_iahr40wc-p0992-cd

When triggered by floods, large wood travels downstream accumulating around river structures that may cause structural damage and eventually collapse. The use of sensors embedded within the woody debris has been recently employed in the study of debr... Read More about Using Smart Sensors to Track Woody Debris in Flume Experiments.

NAME – A Rich XML Format for Named Entity and Relation Tagging (2023)
Conference Proceeding
Clausner, C., Pletschacher, S., & Antonacopoulos, A. (2023). NAME – A Rich XML Format for Named Entity and Relation Tagging. In HIP '23: Proceedings of the 7th International Workshop on Historical Document Imaging and Processing (91-96). https://doi.org/10.1145/3604951.3605521

We present NAME XML, a schema for named entities and relations in documents. The standout features are: option to reference a variety of document formats (such as PAGE XML or plain text), support of entity hierarchies, custom entity types via ontolog... Read More about NAME – A Rich XML Format for Named Entity and Relation Tagging.

Wedge resection versus lobectomy in T1 lung cancer patients: a propensity matched analysis (2023)
Journal Article
Moon, R. J., Taylor, R., Miklavc, P., Mehdi, S. B., Grant, S. W., & Bittar, M. N. (in press). Wedge resection versus lobectomy in T1 lung cancer patients: a propensity matched analysis. Journal of Cardiothoracic Surgery, 18(1), 252. https://doi.org/10.1186/s13019-023-02303-4

Objectives: Performing wedge resection rather than lobectomy for primary lung cancer remains controversial. Recent studies demonstrate no survival advantage for non-anatomical resection compared to lobectomy in patients with early-stage lung cancer.... Read More about Wedge resection versus lobectomy in T1 lung cancer patients: a propensity matched analysis.

Assessment of costs and benefits of green retrofit technologies: Case study of hotel buildings in Sri Lanka (2023)
Journal Article
Periyannan, E., Ramachandra, T., & Geekiyanage, D. (2023). Assessment of costs and benefits of green retrofit technologies: Case study of hotel buildings in Sri Lanka. Journal of Building Engineering, 78, 107631. https://doi.org/10.1016/j.jobe.2023.107631

With the rising impact of greenhouse gas emissions, resource depletion, and the global interest in sustainability advancements within all sectors, construction industry practitioners are also interested in incorporating sustainable features and pract... Read More about Assessment of costs and benefits of green retrofit technologies: Case study of hotel buildings in Sri Lanka.

Spectral–Spatial Features Exploitation Using Lightweight HResNeXt Model for Hyperspectral Image Classification (2023)
Journal Article
Prasad Yadav, D., Kumar, D., Singh Jalal, A., Kumar, A., Bhatia Khan, S., Gadekallu, T. R., …Malibari, A. A. (2023). Spectral–Spatial Features Exploitation Using Lightweight HResNeXt Model for Hyperspectral Image Classification. Canadian Journal of Remote Sensing, 49(1), https://doi.org/10.1080/07038992.2023.2248270

Hyperspectral image classification is vital for various remote sensing applications; however, it remains challenging due to the complex and high-dimensional nature of hyperspectral data. This paper introduces a novel approach to address this challeng... Read More about Spectral–Spatial Features Exploitation Using Lightweight HResNeXt Model for Hyperspectral Image Classification.

Modified Nonlinear Hysteresis Approach for a Tactile Sensor (2023)
Journal Article
Abdul-Hussain, G., Holderbaum, W., Theodoridis, T., & Wei, G. (in press). Modified Nonlinear Hysteresis Approach for a Tactile Sensor. Sensors, 23(16), 7293. https://doi.org/10.3390/s23167293

Soft tactile sensors based on piezoresistive materials have large-area sensing applications. However, their accuracy is often affected by hysteresis which poses a significant challenge during operation. This paper introduces a novel approach that emp... Read More about Modified Nonlinear Hysteresis Approach for a Tactile Sensor.

Harnessing the Potential of Biosurfactants for Biomedical and Pharmaceutical Applications (2023)
Journal Article
Ceresa, C., Fracchia, L., Sansotera, A. C., De Rienzo, M. A. D., & Banat, I. M. (in press). Harnessing the Potential of Biosurfactants for Biomedical and Pharmaceutical Applications. Pharmaceutics, 15(8), 2156. https://doi.org/10.3390/pharmaceutics15082156

Biosurfactants (BSs) are microbial compounds that have emerged as potential alternatives to chemical surfactants due to their multifunctional properties, sustainability and biodegradability. Owing to their amphipathic nature and distinctive structura... Read More about Harnessing the Potential of Biosurfactants for Biomedical and Pharmaceutical Applications.

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.

Computationally Modelling Cholesterol Metabolism and Atherosclerosis (2023)
Journal Article
Davies, C., Morgan, A. E., & Mc Auley, M. T. (2023). Computationally Modelling Cholesterol Metabolism and Atherosclerosis. Biology, 12(8), 1133. https://doi.org/10.3390/biology12081133

Cardiovascular disease (CVD) is the leading cause of death globally. The underlying pathological driver of CVD is atherosclerosis. The primary risk factor for atherosclerosis is elevated low-density lipoprotein cholesterol (LDL-C). Dysregulation of c... Read More about Computationally Modelling Cholesterol Metabolism and Atherosclerosis.

Rate and temperature dependent viscoelastic cohesive zone model for mode-idelamination of composites (2023)
Conference Proceeding
Ammasai Sengodan, G. (2023). Rate and temperature dependent viscoelastic cohesive zone model for mode-idelamination of composites.

Introduction Initiation and propagation of delamination at room temperature and constant loading rates are modelled accurately by using bi-linear or exponential cohesive zone models (CZM) [1]. These "standard" traction-separation based models do not... Read More about Rate and temperature dependent viscoelastic cohesive zone model for mode-idelamination of composites.

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.-J., & 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.