Genome diversity of Leishmania aethiopica

Leishmania aethiopica is a zoonotic Old World parasite transmitted by Phlebotomine sand flies and causing cutaneous leishmaniasis in Ethiopia and Kenya. Despite a range of clinical manifestations and a high prevalence of treatment failure, L. aethiopica is one of the most neglected species of the Leishmania genus in terms of scientific attention. Here, we explored the genome diversity of L. aethiopica by analyzing the genomes of twenty isolates from Ethiopia. Phylogenomic analyses identified two strains as interspecific hybrids involving L. aethiopica as one parent and L. donovani and L. tropica respectively as the other parent. High levels of genome-wide heterozygosity suggest that these two hybrids are equivalent to F1 progeny that propagated mitotically since the initial hybridization event. Analyses of allelic read depths further revealed that the L. aethiopica - L. tropica hybrid was diploid and the L. aethiopica - L. donovani hybrid was triploid, as has been described for other interspecific Leishmania hybrids. When focusing on L. aethiopica, we show that this species is genetically highly diverse and consists of both asexually evolving strains and groups of recombining parasites. A remarkable observation is that some L. aethiopica strains showed an extensive loss of heterozygosity across large regions of the nuclear genome, which likely arose from gene conversion/mitotic recombination. Hence, our prospection of L. aethiopica genomics revealed new insights into the genomic consequences of both meiotic and mitotic recombination in Leishmania

Genome analysis of triploid hybrid Leishmania parasite from the Neotropics

We discovered a hybrid Leishmania parasite in Costa Rica that is genetically similar to hybrids from Panama. Genome analyses demonstrated the hybrid is triploid and identified L. braziliensis and L. guyanensis-related strains as parents. Our findings highlight the existence of poorly sampled Leishmania (Viannia) variants infectious to humans

Investigating Episode Prioritisation in Alert-Driven Attack Graphs: Analysing PICA: A Novel Approach to Episode Prioritisation

Intrusion Detection Systems (IDSes) detect malicious traffic in computer networks and generate a large volume of alerts, which cannot be processed manually. SAGE is a deterministic algorithm that works without a priori network/expert knowledge and can compress these alerts into attack graphs (AGs), modelling intruders’ paths in the network. These AGs are too high in quantity/complexity for manual analysis, creating the necessity for prioritising individual attack stages (ASes). The existing prioritisation metric does not take into account graph properties and is not granular enough to function on a node level. We propose PICA, an urgency metric inspired by the CIA triad (Confidentiality, Integrity and Availability) and the graph properties. It works on a node level and an attack-stage level. PICA is evaluated by comparison with the current implementation, based on AGs generated by SAGE using open-source intrusion alert datasets. The evaluation is based on the number and the type of the discovered attack stages. Results show that PICA manages to discover ASes that contain nodes with a highin-degree but fails at discovering urgent ASes that contain many nodes with low in-degrees. Compared to the baseline, the ASes are distributed more evenly over the different urgency levels. Analysis of urgent node positioning revealed that sub-AGs lose information when objectives (final goal in a path) are also starting nodes. Changing the weights of the CIA triad showed a clear bias in results towards the larger weights, as was intended. Finally, further work is proposed for PICA and in the generation process of SAGE’s AGs.CSE3000 Research ProjectComputer Science and Engineerin

Dag van het Onderzoek - AM4XT Poster Presentation

status: publishe

Additive Manufacturing For Extrusion Tooling

Case study on the implementation of additive manufacturing in extrusion tooling applications.status: Published onlin

AM4XT: ADDITIVE MANUFACTURING FOR EXTRUSION TOOLING

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Flam3D/Howest Start To 3D Print - Case Study Presentation

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3D metaalprinten (SLM/LBM) en toegepast onderwijs/onderzoek

Overzicht van verschillende casestudies @Vives Hogeschool uitgewerkt voor 3D printing metaal - additive manufacturingstatus: publishe

Flam3D Infoavond metaalprinten - Case Study

status: Published onlin

Dag van het Onderzoek - Pecha Kucha AM4XT

status: publishe