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Remotely sensed localised primary production anomalies predict the burden and community structure of infection in long‐term rodent datasets (2023)
Journal Article
Jackson, J. A., Bajer, A., Behnke-Borowczyk, J., Gilbert, F., Grzybek, M., Alsarraf, M., & Behnke, J. (in press). Remotely sensed localised primary production anomalies predict the burden and community structure of infection in long‐term rodent datasets. Global Change Biology, https://doi.org/10.1111/gcb.16898

The increasing frequency and cost of zoonotic disease emergence due to global change have led to calls for the primary surveillance of wildlife. This should be facilitated by the ready availability of remotely sensed environmental data, given the imp... Read More about Remotely sensed localised primary production anomalies predict the burden and community structure of infection in long‐term rodent datasets.

Inoculation with Glomus mosseae: An Efficient Biological Management Strategy for Arsenic Mitigation in Wheat (Triticum Aestivum L.) Under Arsenic-Contaminated Soil (2023)
Journal Article
Singh, M., chakraborty, D., Mandal, J., Kumar Chaudhary, D., & Kumar Jha, A. (2023). Inoculation with Glomus mosseae: An Efficient Biological Management Strategy for Arsenic Mitigation in Wheat (Triticum Aestivum L.) Under Arsenic-Contaminated Soil. Communications in Soil Science and Plant Analysis, 54(19), 2645-2656. https://doi.org/10.1080/00103624.2023.2240367

A pot experiment was conducted to evaluate the effects of Arbuscular Mycorrhizal (AM) fungi on mitigation of arsenic (As) in As-contaminated soils with wheat (variety – HD 2967) as the test crop. Soil inbulk was collected from Bihar Agricultural Univ... Read More about Inoculation with Glomus mosseae: An Efficient Biological Management Strategy for Arsenic Mitigation in Wheat (Triticum Aestivum L.) Under Arsenic-Contaminated Soil.

On-field noise measurements and acoustic characterisation of multi-rotor small unmanned aerial systems (2023)
Journal Article
Ramos-Romero, C., Green, N., Torija, A. J., & Asensio, C. (2023). On-field noise measurements and acoustic characterisation of multi-rotor small unmanned aerial systems. Aerospace science and technology, 141, 108537. https://doi.org/10.1016/j.ast.2023.108537

The noise signature of small Unmanned Aerial Systems (sUAS) is highly influenced by specific operating and weather conditions. Accurate noise assessment of sUAS operations requires field noise measurements that capture all the compl... Read More about On-field noise measurements and acoustic characterisation of multi-rotor small unmanned aerial systems.

An evolutionary-based polynomial regression modeling approach to predicting discharge flow rate under sheet piles (2023)
Journal Article
Asr, A. A., Johari, A., & Javadi, A. A. (2023). An evolutionary-based polynomial regression modeling approach to predicting discharge flow rate under sheet piles. Engineering with Computers, 39(6), 4093-4101. https://doi.org/10.1007/s00366-023-01872-1

The discharge flow rate beneath sheet plies is an essential parameter in designing these water retaining structures. This paper presents a unified framework for modeling and predicting discharge flow rate using an evolutionary-based polynomial regres... Read More about An evolutionary-based polynomial regression modeling approach to predicting discharge flow rate under sheet piles.

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.