Publications by authors named "J E Le Belle"

Unlabelled: This study presents the systemisation of lessons learned from the urban sector in which the measures based on the guiding principle of risk-informed development (RID) have been implemented in the Southern African Development Community (SADC) region at the national and/or sub-national levels. Despite notable risks in the region, these are not adequately considered in urban development planning and programming. Aiming at strengthening RID in the SADC region, the objectives of this peer-to-peer exchange were achieved through virtual workshops, roundtables and briefings on a cloud-based and open-source BigBlueButton Web conferencing system.

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Unlabelled: There is an increased frequency of floods in different parts of the world due to Climate Change and many countries in Sub-Saharan Africa face WASH challenges which have worsened during flood and drought incidences. Tsholotsho District has been experiencing an increased frequency of floods over the years and WASH situation has continuously deteriorated. To build the resilience of communities, there are so many programmes that have been introduced toaddress WASH challenges.

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In this article, we present a modification to the state-of-the-art N-BEATS deep learning architecture for the univariate time series point forecasting problem for generating parametric probabilistic forecasts. Next, we propose an extension to this probabilistic N-BEATS architecture to allow optimizing probabilistic forecasts from both a traditional forecast accuracy perspective as well as a forecast stability perspective, where the latter is defined in terms of a change in the forecast distribution for a specific time period caused by updating the probabilistic forecast for this time period when new observations become available (i.e.

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Maternal inflammatory response (MIR) during early gestation in mice induces a cascade of physiological and behavioral changes that have been associated with autism spectrum disorder (ASD). In a prior study and the current one, we find that mild MIR results in chronic systemic and neuro-inflammation, mTOR pathway activation, mild brain overgrowth followed by regionally specific volumetric changes, sensory processing dysregulation, and social and repetitive behavior abnormalities. Prior studies of rapamycin treatment in autism models have focused on chronic treatments that might be expected to alter or prevent physical brain changes.

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The tumor microenvironment (TME) profoundly influences tumorigenesis, with gene expression in the breast TME capable of predicting clinical outcomes. The TME is complex and includes distinct cancer-associated fibroblast (CAF) subtypes whose contribution to tumorigenesis remains unclear. Here, we identify a subset of myofibroblast CAFs (myCAF) that are senescent (senCAF) in mouse and human breast tumors.

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