A5088043544- COVID-19 epidemiological studies
- Evolution and Genetic Dynamics
- Neuroendocrine regulation and behavior
- Digital Media Forensic Detection
- Generative Adversarial Networks and Image Synthesis
- Gut microbiota and health
- Cell Image Analysis Techniques
- Anomaly Detection Techniques and Applications
- Animal Behavior and Reproduction
- Bird parasitology and diseases
- Image and Signal Denoising Methods
- Animal and Plant Science Education
- Antibiotic Use and Resistance
- Antibiotics Pharmacokinetics and Efficacy
- Mathematical and Theoretical Epidemiology and Ecology Models
- Antibiotic Resistance in Bacteria
- Mental Health Research Topics
- Gene Regulatory Network Analysis
- stochastic dynamics and bifurcation
- Topological and Geometric Data Analysis
- Gaussian Processes and Bayesian Inference
- Zoonotic diseases and public health
- Lipid Membrane Structure and Behavior
- Influenza Virus Research Studies
- Insect Utilization and Effects
Sound Agriculture (United States)
2023-2024
Princeton University
2014-2023
University of Sheffield
2018
Australian National University
2018
Université de Montpellier
2018
Centre National de la Recherche Scientifique
2018
University of St Andrews
2018
Utah State University
2018
University College London
2018
University of Oxford
2018
Temporal variations in the activity of arthropod vectors can dramatically affect epidemiology and evolution vector-borne pathogens. Here, we explore "Hawking hypothesis", which states that these pathogens may evolve ability to time investment transmission match their vectors. First, use a theoretical model identify conditions promoting time-varying strategies Second, experimentally test hypothesis" by monitoring within-host dynamics Plasmodium relictum throughout acute chronic phases bird...
Resources are a core currency of species interactions and ecology in general (e.g., think food webs or competition). Within parasite-infected hosts, resources divided among the competing demands host immunity growth as well parasite reproduction growth. Effects on immune responses increasingly understood at cellular level metabolic predictors effector function), but there has been limited consideration how these effects scale up to affect individual energetic regimes allocation tradeoffs),...
Complex, highly-computational, individual-based models are abundant in epidemiology. For epidemics such as macro-parasitic diseases, detailed modelling of human behaviour and pathogen life-cycle required order to produce accurate results. This can often lead that computationally-expensive analyse perform model fitting, require many simulation runs build up sufficient statistics. Emulation provide a more computationally-efficient output the model, by approximating it using statistical model....
A standard assumption in the modelling of epidemic dynamics is that population interest well mixed, and no clusters metapopulations exist. The well-known oft-used SIR model, arguably most important compartmental model theoretical epidemiology, assumes disease being modelled strongly immunizing, directly transmitted has a well-defined period infection, addition to these mixing assumptions. Childhood infections, such as measles, are prime examples diseases fit SIR-like mechanism. These...
Environmental influences on immune phenotypes are well-documented, but our understanding of which elements the environment affect systems, and how, remains vague. Behaviors, including socializing with others, central to an individual’s interaction its environment. We therefore tracked behavior rewilded laboratory mice three inbred strains in outdoor enclosures examined contributions behavior, associations measured from spatiotemporal co-occurrences, phenotypes. found extensive variation...
Neurons are characterised by a morphological structure unique amongst biological cells, the core of which is dendritic tree. The vast number geometries, combined with heterogeneous properties cell membrane, continue to challenge scientists in predicting neuronal input-output relationships, even case sub-threshold currents. Green's function obtained for given geometry provides this functional relationship passive or quasi-active dendrites and can be constructed sum-over-trips approach based...
Abstract Complex, highly computational, individual-based models are abundant in epidemiology. For epidemics such as macro-parasitic diseases, detailed modelling of human behaviour and pathogen life-cycle required order to produce accurate results. This can often lead that computationally-expensive analyse perform model fitting, require many simulation runs build up sufficient statistics. Emulation provide a more computationally-efficient output the model, by approximating it using...
Abstract Environmental influences on immune phenotypes are well-documented, but our understanding of which elements the environment affect systems, and how, remains vague. Behaviors, including socializing with others, central to an individual’s interaction its environment. We tracked behavior rewilded laboratory mice three inbred strains in outdoor enclosures examined contributions behavior, social associations, phenotypes. found that more associated two individuals were, similar their were....
As the creation of deepfakes becomes more prevalent and sophisticated, need for accurate robust detection methods intensifies. This paper presents a comprehensive empirical study on efficacy S patio-Temporal Convolutional Neural Networks (ST-CNNs) deepfake detection. It explores how rich spatio-temporal information contained within video frames can be exploited by ST-CNNs to distinguish between genuine manipulated content. The is underpinned testing framework, wherein range generation...
<title>Abstract</title> The creation and accessibility of synthetic audio-visual media which is commonly known as deepfakes has been into an alarming situation with the rapid advancement generative AI techniques. This fabricated or sometimes manipulated it can serve threats to individuals’ privacy, security integrity information. makes crucial develop robust reliable deepfake detection methods mitigate these risks. We present a multimodal approach leveraging both audio visual signals. By...
Quantitative information is essential to the empirical analysis of biological systems. In many such systems, spatial relations between anatomical structures interest, making imaging a valuable data acquisition tool. However, image can be difficult analyse quantitatively. Many processing algorithms are highly sensitive variations in image, limiting their current application fields where sample and quality may very high. Here, we develop robust for extracting structural from dataset...
ABSTRACT Temporal variations in the activity of arthropod vectors can dramatically affect epidemiology and evolution vector-borne pathogens. Here we explore “Hawking hypothesis” stating that these pathogens may evolve ability to time investment transmission match their vectors. First, use a theoretical model identify conditions promoting time-varying strategies Second, experimentally test by monitoring within-host dynamics Plasmodium relictum throughout acute chronic phases bird infection....