16 research outputs found
Evacuation simulation modelling in the event of a near Earth object impact
No full textIf an Earth-threatening Near Earth Object (NEO) is detected, it is
important that decision makers, such as the United Nations together with nations at risk, decide how to approach such a natural hazard. Understanding the vulnerability, risk and resilience along the Path of Risk (PoR) is important in order to identify the most vulnerable areas and the dangers from the hazard, and when deciding how to mitigate such a natural hazard. This paper presents initial work in how a global vulnerability has been developed. This model has been applied to a case study to illustrate how it can be used as a measure in the context of NEO impact effects to identify areas at high risk such that evacuation should be considered. Initial studies in how to approach the evacuation modelling of these areas will also be discussed
NEOMiSS: A near-Earth object decision support tool
No full textThe Near Earth Object Mitigation Support System (NEOMiSS) is a decision support tool, enabling scientists, emergency planners and policy-makers to understand and assess the human vulnerability and risks due to a potential NEO collision with the Earth. NEOMiSS extends the functionality offered by the NEOSim and NEOimpactor tools, developed at the University of Southampton. It provides an improved human casualty estimator using vulnerability models of multiple NEO impact hazards. In addition, it also offers an evacuation simulator for prediction of an areas ability to evacuate, which is used for modifying the human vulnerability. These tools enable NEOMiSS to deliver reliable predictions of the human casualties arising from impact hazards along a NEO risk corridor. As such, decisions affecting NEO deflection campaigns (which modify the risk corridor) can be taken in the context of the human consequences. In addition, NEOMiSS provides a mechanism for managing the uncertainties in the data and modelfitting, thereby enabling the confidence in risk assessments to be quantified. This paper presents the results of a preliminary study using the NEOMiSS multi-hazard human vulnerability model. Here, NEOMiSS is used to predict the number of casualties arising from the impact of asteroid 99942 Apophis along the 2036 risk corridor. The evacuation simulator was then used to understand the effects of two evacuation scenarios on the population in an area where a high number of casualties is likely. The case study is used to illustrate the capabilities of NEOMiSS whilst it is still undergoing development
Bouwconstructieve analyse van naoorlogse eengezinshuizen in de non-profit huursector 1946-1980
No full textOTB Research Institute for the Built Environmen
Technische kwaliteit van etagewoningen: Deel A: Bouwconstructieve analyse van naoorlogse meergezinshuizen in de non-profit huursector 1966-1980; Deel B: Bouwconstructieve analyse van naoorlogse meergezinshuizen in de non-profit huursector 1946-1980; bijzonderheden en gegevens uit openbare bronnen
No full textApplied Science
Bouwconstructieve analyse van naoorlogse meergezinshuizen in de non-profit huursector 1946-1965
No full textOTB Research Institut
Bouwconstructieve analyse van naoorlogse meergezinshuizen in de non-profit huursector 1964-1965
No full textDit boek is ontstaan uit een samenwerkingsverband tussen RIW, Researchinstituut voor Woningbouw, Volkshuisvesting en Stadsvernieuwing en het Onderzoeksinstituut voor Technische Bestuurskunde (OTB).OTB Research Institute for the Built Environmen
Architectonische en technische waardering van bestaande galerijflats: Mogelijke aanpassing van gebouw en gevel
No full textArchitectureArchitectur
Integrative multi-omics reveals two biologically distinct groups of pilocytic astrocytoma
No full text© The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.Pilocytic astrocytoma (PA), the most common pediatric brain tumor, is driven by aberrant mitogen-activated protein kinase signaling most commonly caused by BRAF gene fusions or activating mutations. While 5-year overall survival rates exceed 95%, tumor recurrence or progression constitutes a major clinical challenge in incompletely resected tumors. Here, we used similarity network fusion (SNF) analysis in an integrative multi-omics approach employing RNA transcriptomic and mass spectrometry-based proteomic profiling to molecularly characterize PA tissue samples from 62 patients. Thereby, we uncovered that PAs segregated into two molecularly distinct groups, namely, Group 1 and Group 2, which were validated in three non-overlapping cohorts. Patients with Group 1 tumors were significantly younger and showed worse progression-free survival compared to patients with group 2 tumors. Ingenuity pathways analysis (IPA) and gene set enrichment analysis (GSEA) revealed that Group 1 tumors were enriched for immune response pathways, such as interferon signaling, while Group 2 tumors showed enrichment for action potential and neurotransmitter signaling pathways. Analysis of immune cell-related gene signatures showed an enrichment of infiltrating T Cells in Group 1 versus Group 2 tumors. Taken together, integrative multi-omics of PA identified biologically distinct and prognostically relevant tumor groups that may improve risk stratification of this single pathway driven tumor type.This project funded in part by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—Project-ID 418179183—KFO 337, RO 3577/7-1 (A.R.), RE 2857/4-1 (M.R.) and supported by Biomed Valley and Day One Therapeutics (T.M.), Fundação Amélia de Melo (C.C.F.) and Fundação Millennium bcp (C.C.F.)info:eu-repo/semantics/publishedVersio
