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Data-Driven Earthquake Multi-impact Modeling:A Comparison of Models

International Journal of Disaster Risk Science 2024年第3期15卷 421-433页

作者： Hamish Patten max anderson loake David Steinsaltz Information Management International Federation of Red Cross and Red Crescent Societies(IFRC)1211GenevaSwitzerland Department of Statistics University of OxfordOxfordOX13LBUK

In this study,a broad range of supervised machine learning and parametric statistical,geospatial,and non-geospatial models were applied to model both aggregated observed impact estimate data and satellite image-derived geolocated building damage data for earthquakes,via regression-and classification-based models,*** the aggregated observational data,models were ranked via predictive performance of mortality,population displacement,building damage,and building destruction for 375 observations across 161 earthquakes in 61 *** the satellite image-derived data,models were ranked via classification performance(damaged/unaff ected)of 369,813 geolocated buildings for 26 earthquakes in 15 *** k-fold,3-repeat cross validation was used to ensure out-of-sample predictive *** importance of several variables used as proxies for vulnerability to disasters indicates covariate *** 2023 Türkiye-Syria earthquake event was used to explore model limitations for extreme ***,applying the AdaBoost model on the 27,032 held-out buildings of the 2023 Türkiye-Syria earthquake event,predictions had an AUC of ***,without any geospatial,building-specific,or direct satellite image information,this model accurately classified building damage,with significantly improved performance over satellite image trained models found in the literature.

关键词： Disaster risk modeling Earthquake impact models Machine learning Disaster statistics Satellite image-derived buildingdamage

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Nitric oxide regulation of plant metabolism

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Molecular Plant 2022年第2期15卷 228-242页

作者： Kapuganti Jagadis Gupta Vemula Chandra Kaladhar Teresa B.Fitzpatrick Alisdair R.Fernie Ian max Møller Gary J.loake National Institute of Plant Genome Research Aruna Asaf Ali MargNew DelhiDelhi 110067 India Vitamins and Environmental Stress Responses in Plants Department of Botany and Plant BiologyUniversity of GenevaGeneva 1211 Switzerland max-Planck-Institute of Molecular Plant Physiology Am Mühlenberg 1Potsdam-Golm 14476 Germany Department of Molecular Biology and Genetics Aarhus UniversityForsøgsvej 14200 SlagelseDenmark Institute of Molecular Plant Sciences School of Biological SciencesUniversity of EdinburghEdinburgh EH93BFUK

Nitric oxide(NO)has emerged as an important signal molecule in plants,having myriad roles in plant *** addition,NO also orchestrates both biotic and abiotic stress responses,during which intensive cellular metabolic reprogramming *** to these responses is the location of NO biosynthetic and scavenging pathways in diverse cellular compartments,enabling plants to effectively organize signal transduction *** regulates plant metabolism and,in turn,metabolic pathways reciprocally regu-late NO accumulation and ***,these diverse cellular processes are inextricably *** re-view addresses the numerous redox pathways,located in the various subcellular compartments that pro-duce NO,in addition to the mechanisms underpinning NO *** focus on how this molecular dance is integrated into the metabolic state of the *** this context,a reciprocal relationship be-tween NO accumulation and metabolite production is often *** also showcase cellular pathways,including those associated with nitrate reduction,that provide evidence for this integration of NO function and ***,we discuss the potential importance of the biochemical reactions governing NO levels in determining plant responses to a changing environment.

关键词： hypoxi amitochondria metabolism nitric oxide S-nitrosylation pyridoxine reactive nitrogen species reactive oxygen species

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