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An improved long short term memory network for intrusion detection (2023)
Journal Article
Awad, A. A., Ali, A. F., & Gaber, T. (in press). An improved long short term memory network for intrusion detection. PloS one, 18(8), e0284795. https://doi.org/10.1371/journal.pone.0284795

Over the years, intrusion detection system has played a crucial role in network security by discovering attacks from network traffics and generating an alarm signal to be sent to the security team. Machine learning methods, e.g., Support Vector Machi... Read More about An improved long short term memory network for intrusion detection.

DNA metabarcoding of mock communities highlights potential biases when assessing Neotropical fish diversity (2023)
Journal Article
Hilário, H. O., Hilario, H., Mendes, I. S., GuimarãesSales, N., & Carvalho, D. C. (2023). DNA metabarcoding of mock communities highlights potential biases when assessing Neotropical fish diversity. Environmental DNA, https://doi.org/10.1002/edn3.456

Despite the increasing popularity of DNA metabarcoding in the assessment of aquatic ecosystems using fish eDNA or ichthyoplankton, challenges have hampered its broader application in the Neotropical freshwaters. Using five mock communities composed o... Read More about DNA metabarcoding of mock communities highlights potential biases when assessing Neotropical fish diversity.

Zinc and iron enrichment of vermicompost can reduce the arsenic load in rice grain: An investigation through pot and field experiments (2023)
Journal Article
Sengupta, S., Bhattacharyya, K., Mandal, J., Bhattacharya, P., & Chattopadhyay, A. P. (2023). Zinc and iron enrichment of vermicompost can reduce the arsenic load in rice grain: An investigation through pot and field experiments. Journal of Cleaner Production, 419, 138267. https://doi.org/10.1016/j.jclepro.2023.138267

The heavy metalloid arsenic (As), occurring in both trivalent and pentavalent is extremely toxic and has detrimental effect on humans through water-soil-crop transfer. Previously organic and inorganic amendments have been used separ... Read More about Zinc and iron enrichment of vermicompost can reduce the arsenic load in rice grain: An investigation through pot and field experiments.

Computation of micropolar nanofluid from a wedge with heterogeneous carbon/metallic nanoparticles, viscous dissipation and heat sink/source: rheological nanocoating flow simulation (2023)
Journal Article
Umavathi, J. C., Kumar, M. A., & Anwar Bég, O. (in press). Computation of micropolar nanofluid from a wedge with heterogeneous carbon/metallic nanoparticles, viscous dissipation and heat sink/source: rheological nanocoating flow simulation. International Journal of Modelling and Simulation, 1-17. https://doi.org/10.1080/02286203.2023.2237846

Motivated by nanotechnological coating applications, a theoretical study is presented for the laminar, steady-state, incompressible nonlinear boundary layer flow of a non-Newtonian nanofluid external to a wedge-shaped configuration. The wedge surface... Read More about Computation of micropolar nanofluid from a wedge with heterogeneous carbon/metallic nanoparticles, viscous dissipation and heat sink/source: rheological nanocoating flow simulation.

Climate change drives loss of bacterial gut mutualists at the expense of host survival in wild meerkats (2023)
Journal Article
Risely, A., Müller‐Klein, N., Schmid, D. W., Wilhelm, K., Clutton‐Brock, T. H., Manser, M. B., & Sommer, S. (in press). Climate change drives loss of bacterial gut mutualists at the expense of host survival in wild meerkats. Global Change Biology, https://doi.org/10.1111/gcb.16877

Climate change and climate‐driven increases in infectious disease threaten wildlife populations globally. Gut microbial responses are predicted to either buffer or exacerbate the negative impacts of these twin pressures on host populations. However,... Read More about Climate change drives loss of bacterial gut mutualists at the expense of host survival in wild meerkats.

Partial Differential Equations in Applied Mathematics https://www.sciencedirect.com/journal/partial-differential-equations-in-applied- mathematics Analysis of unsteady thermo-solutal MoS2-EO Brinkman electro-conductive reactive nanofluid transport in a hybrid rotating Hall MHD generator (2023)
Journal Article
Shamshuddin, M., Anwar Bég, O., Akkurt, N., Leonard, H. J., & Bég, T. A. (2023). Partial Differential Equations in Applied Mathematics https://www.sciencedirect.com/journal/partial-differential-equations-in-applied- mathematics Analysis of unsteady thermo-solutal MoS2-EO Brinkman electro-conductive reactive nanofluid transport in a hybrid rotating Hall MHD generator. #Journal not on list, 7, https://doi.org/10.1016/j.padiff.2023.100525

MHD rotating generators offer a plausible renewable energy mechanism. New designs are emerging in which nanotechnology is contributing. Such systems are increasingly deploying more complex functional fluid materials such as base fluids containing mag... Read More about Partial Differential Equations in Applied Mathematics https://www.sciencedirect.com/journal/partial-differential-equations-in-applied- mathematics Analysis of unsteady thermo-solutal MoS2-EO Brinkman electro-conductive reactive nanofluid transport in a hybrid rotating Hall MHD generator.

Characterising a genetic stronghold amidst pervasive admixture: Morelet’s crocodiles ( Crocodylus moreletii ) in central Yucatan (2023)
Journal Article
Barão-Nóbrega, J. A. L., González-Jáuregui, M., Padilla-Paz, S., Maher, K. H., Martínez-Arce, A., Cedeño-Vázquez, J. R., & Jehle, R. (2023). Characterising a genetic stronghold amidst pervasive admixture: Morelet’s crocodiles ( Crocodylus moreletii ) in central Yucatan. Conservation Genetics, 24(6), 893-903. https://doi.org/10.1007/s10592-023-01544-z

When backcrosses are fertile, interbreeding between endangered taxa can lead to the admixture of gene pools under threat. One such case pertains to the Mesoamerican crocodile Crocodylus moreletii, a species which shows strong signatures of both recen... Read More about Characterising a genetic stronghold amidst pervasive admixture: Morelet’s crocodiles ( Crocodylus moreletii ) in central Yucatan.

Finding Good Attribute Subsets for Improved Decision Trees Using a Genetic Algorithm Wrapper; a Supervised Learning Application in the Food Business Sector for Wine Type Classification (2023)
Journal Article
Gkikas, D. C., Theodoridis, P. K., Theodoridis, T., & Gkikas, M. C. (in press). Finding Good Attribute Subsets for Improved Decision Trees Using a Genetic Algorithm Wrapper; a Supervised Learning Application in the Food Business Sector for Wine Type Classification. Informatics, 10(3), 63. https://doi.org/10.3390/informatics10030063

This study aims to provide a method that will assist decision makers in managing large datasets, eliminating the decision risk and highlighting significant subsets of data with certain weight. Thus, binary decision tree (BDT) and genetic algorithm (G... Read More about Finding Good Attribute Subsets for Improved Decision Trees Using a Genetic Algorithm Wrapper; a Supervised Learning Application in the Food Business Sector for Wine Type Classification.

Shark‐dust: Application of high‐throughput DNA sequencing of processing residues for trade monitoring of threatened sharks and rays (2023)
Journal Article
Prasetyo, A. P., Murray, J. M., Kurniawan, M. F. A. K., Sales, N. G., McDevitt, A. D., & Mariani, S. (in press). Shark‐dust: Application of high‐throughput DNA sequencing of processing residues for trade monitoring of threatened sharks and rays. Conservation Letters, 16(5), https://doi.org/10.1111/conl.12971

Illegal fishing, unregulated bycatch, and market demand for certain products (e.g., fins) are largely responsible for the rapid global decline of shark and ray populations. Controlling trade of endangered species remains difficult due to product vari... Read More about Shark‐dust: Application of high‐throughput DNA sequencing of processing residues for trade monitoring of threatened sharks and rays.

Neural Networks for the Detection of COVID-19 and Other Diseases: Prospects and Challenges (2023)
Journal Article
Azeem, M., Javaid, S., Khalil, R. A., Fahim, H., Althobaiti, T., Alsharif, N., & Saeed, N. (in press). Neural Networks for the Detection of COVID-19 and Other Diseases: Prospects and Challenges. Bioengineering, 10(7), 850. https://doi.org/10.3390/bioengineering10070850

Artificial neural networks (ANNs) ability to learn, correct errors, and transform a large amount of raw data into beneficial medical decisions for treatment and care has increased in popularity for enhanced patient safety and quality of care. Therefo... Read More about Neural Networks for the Detection of COVID-19 and Other Diseases: Prospects and Challenges.

A Catalyst Approach for Smart Ecological Urban Corridors at Disused Waterways (2023)
Journal Article
Elkadi, H., & Biscaya, S. (2023). A Catalyst Approach for Smart Ecological Urban Corridors at Disused Waterways. Journal of Urban Planning and Development, 8(3), https://doi.org/10.17645/up.v8i3.6866

Green and blue infrastructures have always played a key role in shaping European cities, acting as drivers for urban and rural development and regeneration. There is a reawakening of consciousness by European cities towards their waterways following... Read More about A Catalyst Approach for Smart Ecological Urban Corridors at Disused Waterways.

Dune slope, not wind speed, best predicts bare sand in vegetated coastal dunes. (2023)
Journal Article
Smyth, T., Rooney, P., & Yates, K. (2023). Dune slope, not wind speed, best predicts bare sand in vegetated coastal dunes. Journal of Coastal Conservation, 27, https://doi.org/10.1007/s11852-023-00957-9

Globally vegetation cover on coastal sand dunes has increased since at least the 1950s. With the aim of restoring or increasing biodiversity, land managers in several countries have removed vegetation and/or reprofiled dune slopes to reinvigorate geo... Read More about Dune slope, not wind speed, best predicts bare sand in vegetated coastal dunes..

A web-based visual analytics platform to explore smart houses energy data for stakeholders: A case study of houses in the area of Manchester (2023)
Journal Article
Iram, S., Shakeel, H., Farid, H., Hill, R., & Fernando, T. (in press). A web-based visual analytics platform to explore smart houses energy data for stakeholders: A case study of houses in the area of Manchester. Energy and Buildings, 296, 113342. https://doi.org/10.1016/j.enbuild.2023.113342

Residential sector need quick and creative solutions since rising energy consumption poses serious risks to the economy and the environment. Information about residential houses is useful for promoting community well-being, protecti... Read More about A web-based visual analytics platform to explore smart houses energy data for stakeholders: A case study of houses in the area of Manchester.

Strategies for cost-effective remediation of widespread oil-contaminated soils in Kuwait, an environmental legacy of the first Gulf War (2023)
Journal Article
Al-Mebayedh, H., Niu, A., & Lin, C. (in press). Strategies for cost-effective remediation of widespread oil-contaminated soils in Kuwait, an environmental legacy of the first Gulf War. Journal of Environmental Management, 344, 118601. https://doi.org/10.1016/j.jenvman.2023.118601

The Kuwaiti oil fire during the first Gulf War resulted in the formation of approximately 300 “oil lakes” of varying sizes that covered over 110 km2 of the desert land. This threatens the fragile desert ecosystems and human health.... Read More about Strategies for cost-effective remediation of widespread oil-contaminated soils in Kuwait, an environmental legacy of the first Gulf War.

A Practitioner Study into the Variability of Domestic Energy Assessments (2023)
Journal Article
Gledhill, T., Swan, W., & Fitton, R. (2023). A Practitioner Study into the Variability of Domestic Energy Assessments. International Journal of Building Pathology and Adaptation, https://doi.org/10.1108/IJBPA-10-2022-0167

This paper focuses on the assessment of a domestic property’s energy performance status by a Domestic Energy Assessor (DEA), to ascertain the possible underlying reasons for variability in the results of Energy Performance Certificates (EPCs). By var... Read More about A Practitioner Study into the Variability of Domestic Energy Assessments.

Assessment of the suitability of selected extractants for boron in some <i>inceptisols</i> of Eastern India under sunflower (<i>Helianthus annuus</i> L.) (2023)
Journal Article
Phonglosa, A., Bhattacharyya, K., Pari, A., Ray, K., Banerjee, H., Haldar, S., …Mandal, J. (in press). Assessment of the suitability of selected extractants for boron in some inceptisols of Eastern India under sunflower (Helianthus annuus L.). Journal of Plant Nutrition, 46(17), 1-16. https://doi.org/10.1080/01904167.2023.2231020

Sunflower; as a contingent crop, is often exposed to boron (B) deficiency in soils of low fertility. The deficiency and toxicity of B being very narrow, warrants the need for its proper estimation in soil-plant systems through specific extractants. T... Read More about Assessment of the suitability of selected extractants for boron in some <i>inceptisols</i> of Eastern India under sunflower (<i>Helianthus annuus</i> L.).

A Cluster-Based Energy-Efficient Secure Optimal Path-Routing Protocol for Wireless Body-Area Sensor Networks (2023)
Journal Article
Dass, R., Narayanan, M., Ananthakrishnan, G., Kathirvel Murugan, T., Nallakaruppan, M. K., Somayaji, S. R. K., …Almusharraf, A. (in press). A Cluster-Based Energy-Efficient Secure Optimal Path-Routing Protocol for Wireless Body-Area Sensor Networks. Sensors, 23(14), 6274. https://doi.org/10.3390/s23146274

Recently, research into Wireless Body-Area Sensor Networks (WBASN) or Wireless Body-Area Networks (WBAN) has gained much importance in medical applications, and now plays a significant role in patient monitoring. Among the various operations, routing... Read More about A Cluster-Based Energy-Efficient Secure Optimal Path-Routing Protocol for Wireless Body-Area Sensor Networks.

A critical review on micro-scale pumping based on insect-inspired membrane kinematics (2023)
Journal Article
Tripathi, D., Bhandari, D. S., & Anwar Bég, O. (2023). A critical review on micro-scale pumping based on insect-inspired membrane kinematics. Sensors and Actuators A: Physical, 360, https://doi.org/10.1016/j.sna.2023.114518

The membrane-based pumping mechanism is being increasingly deployed to meet the needs of medical, bio-engineering, microfabrication technology, microscale transport phenomena and other engineering applications due to its integrated functionalities. T... Read More about A critical review on micro-scale pumping based on insect-inspired membrane kinematics.

Research on the improvement of wetted perimeter method and application in seasonal rivers-a case study of Fenhe River, China. (2023)
Journal Article
Tian, C., Wang, Y., Fu, X., & na. (2023). Research on the improvement of wetted perimeter method and application in seasonal rivers-a case study of Fenhe River, China. Environmental Science and Pollution Research, https://doi.org/10.1007/s11356-023-28331-0

Environmental flow is vital for maintaining river ecosystem health and ensuring the normal growth of aquatic organisms. The wetted perimeter method is indeed very useful in the assessment of environmental flow due to consideration of stream forms and... Read More about Research on the improvement of wetted perimeter method and application in seasonal rivers-a case study of Fenhe River, China..