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The generalised linear models, so-called GLM, are data-driven models able to capture a wide
variety nonlinear behaviours which can be difficult to simulate in classical mechanistic models. Consequently, GLMs occasionally find applications in neuron modelling, providing a
flexible solution to address the complexities of neuronal dynamics. Here, this work focus on
the main behaviours studied in the neuroscience research field to design relevant GLMs.
Initially, the performance of the GLM is meticulously evaluated based on factors such
as the length of the sequence being captured, the number of its basis functions and their
designs. The parameters that remain untested are transparently highlighted. While key
characteristics of those fitted filters are also discussed.
In a second time, deeper investigations are conducted into the feedback filter of the fitted
GLM. Although the GLMs differ according the training sequences, it exists notable similitude
between them when the training sequences belongs to the same family, e.g. spiking, bursting.
The extraction of features is possible thanks to the elements of the GLM. Therefore, the
classification of the original sequences according the features of the GLM is addressed at the
end of this these, it contributes to a comprehensive understanding of the intricate dynamics
underlying neuronal behaviour.
Through analysis and interpretation of GLM performance, this study offers valuable insights into the potential applications and limitations of these models in capturing and reproducing complex neuronal dynamics. By shedding light on the role of model parameters,
training sequences, and extracted features, this thesis helps in the design and interpretation
of GLM within the framework of neuronal representation.

GLM --- Neuronal dynamics --- Classification --- Generalised linear model --- Ingénierie, informatique & technologie > Multidisciplinaire, généralités & autres

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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact

multi-locus genome-wide association study --- mixed linear model --- mrMLM --- FASTmrMLM --- FASTmrEMMA --- ISIS EM-BLASSO --- pLARmEB --- pKWmEB --- complex traits --- omics big dataset

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The present master thesis consists on a statistical analysis of data provided by sensors and analysers for air pollution detection. The essential motivation of the study was to find out if the low cost sensors could replace the expensive and certified analysers. The first part of this study leads to the creation of a user interface to make the preprocessing of the data. The second part of the study provides a linear modelling approach based on the linear discriminant analysis. We examine the contribution of sensors in the prediction of chemical concentrations and present perspectives for further studies. Le présent mémoire consiste en une analyse statistique de données fournies par des capteurs et des analyseurs pour la détection de la pollution de l'air. La motivation essentielle de l'étude était de savoir si les capteurs bon marché pouvaient remplacer les analyseurs coûteux et certifiés. La première partie de ce travail conduit à la création d'une interface utilisateur pour effectuer le prétraitement des données. La deuxième partie principale de l'étude fournit une approche de modélisation linéaire basée sur l'analyse discriminante linéaire. Nous examinons la contribution des capteurs dans la prédiction des concentrations chimiques et présentons les perspectives pour des études subséquentes.

air pollution --- preprocessing --- user interface --- sensors --- analysers --- University of Liège --- linear model --- statistical analysis --- prediction --- data --- Physique, chimie, mathématiques & sciences de la terre > Mathématiques

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Soil contamination has been identified as one of the main threats to soil, inducing the degradation of global soils and driving long-term losses of the ecosystem services that they provide. As a result of human activities, the amount of soil contamination caused by heavy metal(loid)s has severely increased over the last few decades and has become a worldwide environmental issue that has attracted considerable public attention. Although many research efforts have highlighted how soil contamination is a global threat and provided an overview of the importance of healthy soil, there is still a great need for additional information from different regions around the world, and concrete strategies, which can be implemented to address the causes and impacts of this major threat, urgently need to be developed. In this context, this book was launched with the scope of bringing together articles presenting the development of novel science-based methods and applications that enhance the remediation of contaminated soil by focusing on the identification of the main sources of soil contamination caused by heavy metal(loid)s (HM)/potentially toxic elements (PTEs) in different soil types; the chemistry, potential mobility, and bioavailability of the contaminants that are commonly found in contaminated soils; the assessment of the negative impacts and risks associated with HM/PTE-induced soil contamination on crop yields; soil biota, food security, and human health; and the available methods and strategies for monitoring, assessing, and remediating soils that have been contaminated by HM/PTEs.

Research & information: general --- PTE --- anthropogenic soils --- Technosols --- trace elements --- heavy metals --- urban agriculture --- heavy metal availability --- enrichment factor --- redox --- biochar --- cadmium --- lead --- contaminated paddy soil --- short- and long-term mechanisms --- ACC deaminase --- heavy metal stress --- PGPR --- fertilizers --- nutrients --- yield --- selenium --- acid soils --- alkaline soils --- adsorption --- desorption --- Freundlich --- Langmuir --- Mediterranean soils --- vehicular emissions --- road age --- diffusive gradients in thin films (DGT) --- metal dissociation time (Tc) --- wheat assay --- optimised linear model --- biochar application rates --- metal accumulation --- nitrogen --- ryegrass --- PTE --- anthropogenic soils --- Technosols --- trace elements --- heavy metals --- urban agriculture --- heavy metal availability --- enrichment factor --- redox --- biochar --- cadmium --- lead --- contaminated paddy soil --- short- and long-term mechanisms --- ACC deaminase --- heavy metal stress --- PGPR --- fertilizers --- nutrients --- yield --- selenium --- acid soils --- alkaline soils --- adsorption --- desorption --- Freundlich --- Langmuir --- Mediterranean soils --- vehicular emissions --- road age --- diffusive gradients in thin films (DGT) --- metal dissociation time (Tc) --- wheat assay --- optimised linear model --- biochar application rates --- metal accumulation --- nitrogen --- ryegrass

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Soil contamination has been identified as one of the main threats to soil, inducing the degradation of global soils and driving long-term losses of the ecosystem services that they provide. As a result of human activities, the amount of soil contamination caused by heavy metal(loid)s has severely increased over the last few decades and has become a worldwide environmental issue that has attracted considerable public attention. Although many research efforts have highlighted how soil contamination is a global threat and provided an overview of the importance of healthy soil, there is still a great need for additional information from different regions around the world, and concrete strategies, which can be implemented to address the causes and impacts of this major threat, urgently need to be developed. In this context, this book was launched with the scope of bringing together articles presenting the development of novel science-based methods and applications that enhance the remediation of contaminated soil by focusing on the identification of the main sources of soil contamination caused by heavy metal(loid)s (HM)/potentially toxic elements (PTEs) in different soil types; the chemistry, potential mobility, and bioavailability of the contaminants that are commonly found in contaminated soils; the assessment of the negative impacts and risks associated with HM/PTE-induced soil contamination on crop yields; soil biota, food security, and human health; and the available methods and strategies for monitoring, assessing, and remediating soils that have been contaminated by HM/PTEs.

Research & information: general --- PTE --- anthropogenic soils --- Technosols --- trace elements --- heavy metals --- urban agriculture --- heavy metal availability --- enrichment factor --- redox --- biochar --- cadmium --- lead --- contaminated paddy soil --- short- and long-term mechanisms --- ACC deaminase --- heavy metal stress --- PGPR --- fertilizers --- nutrients --- yield --- selenium --- acid soils --- alkaline soils --- adsorption --- desorption --- Freundlich --- Langmuir --- Mediterranean soils --- vehicular emissions --- road age --- diffusive gradients in thin films (DGT) --- metal dissociation time (Tc) --- wheat assay --- optimised linear model --- biochar application rates --- metal accumulation --- nitrogen --- ryegrass --- n/a