ANALYSE DE LA RÉGÉNÉRATION SPONTANÉE DE LA VÉGÉTATION POST-INCENDIE DANS LA FORET DE DAR CHICHOU (CAP BON, TUNISIE NORD-ORIENTALE) by KHALED ABAZA

“…In addition to the almost total carbonization of the fauna and flora of the devastated area observed the day after the outbreak of the disaster, the study highlights a good natural regeneration of vegetation, in particular broadleaf trees and secondary vegetation, but according to very varied rhythms and aspects.…”
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Recepcja i rozwój idei eugenicznej na ziemiach polskich w XIX i XX wieku by Anna Słoniowska

“…After 123 years of annexation and after The First World War, Poland was threatened by a demographic disaster. The eugenicists tried to solve those problems. …”
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A Case Study of Damage Energy Analysis and an Early Warning by Microseismic Monitoring for Large Area Roof Caving in Shallow Depth Seams by Like Wei, Qingxin Qi, Hongyan Li, Bin Zhang, Yongren Wang, Linghai Kong

“…When working face is advanced out of concentrated coal pillar in upper room and pillar goaf, strong strata behaviors often cause support crushing accidents, and potentially induce large area residual pillars instability and even wind blast disaster. In order to predict the precise time when the accident happens, guaranteeing life-safety of miner, microseismic monitoring system was for the first time applied in shallow coal seam. …”
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The usability and technology acceptance of immersive virtual reality simulation for critical infrastructure workers by Andrzej Grabowski

“…VR can also be used to train critical infrastructure personnel responsible for ensuring CI business continuity and disaster recovery. However, there is little research on how such an immersive virtual simulation can affect critical infrastructure staff especially in terms of usability and acceptance of the technology, as this is very important for practical implementation. …”
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Embodying the Spirit (<i>meyppāṭu</i>): A <i>puttiṇai</i> Perspective by Nirmal Selvamony

“…Using this tool, I outline the idea of <i>meyppāṭu</i> in the primal community, in the state society, and also in the industrialist state, and show how the understanding of <i>meyppāṭu</i> in the primal world (what I have called <i>viḻuttiṇai</i>) ensured a love-based lifeway necessary for the wellbeing of the people and all the beings other than humans that were also part of that world, and why this understanding is necessary today to end the present Anthropocenic industrialist lifeway, which has brought humans and beings other than humans to the brink of disaster.…”
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Understanding the distributional effects of recurrent floods in the Philippines by Inga J. Sauer, Brian Walsh, Katja Frieler, David N. Bresch, Christian Otto

“…Summary: Successful recovery from extreme weather events is key to avoid long-term poverty implications. Yet, in disaster prone regions, there may not always be enough time to recover between events. …”
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Cooperative UAV Scheduling for Power Grid Deicing Using Fuzzy Learning and Evolutionary Optimization by Yu-Jun Zheng, Zhi-Yuan Zhang, Jia-Yu Yan, Wei-Guo Sheng

“…This article studies a problem of cooperatively scheduling inspection unmanned aerial vehicles (UAVs) and deicing UAVs for power grid deicing, the aim of which is to minimize the total expected loss of outages and collapses caused by the icing disaster. Uncertain outage risk, collapse risk, and deicing workload of each power line are modeled as fuzzy values predicted by fuzzy deep learning models, and we transform the fuzzy optimization problem into a crisp optimization problem based on fuzzy arithmetics and uncertain theory. …”
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The Effects of the 2004 Hurricane Season on Greenhouse Vegetable Production in Florida by Jeanmarie M. Mitchell, Daniel J. Cantliffe

“…In response, the federal government appropriated $13 billion for emergency assistance, of which Florida received a half billion dollars for agricultural disaster assistance. Many of Florida's producers were eligible for up to $80,000 in aid. …”
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Study on Plastic Zone Distribution Characteristic of Coal and Rock Mass in Excavation from Crosscut Coal by Chengwu Li, Xiaoqian Zhang, Chengmin Wei, Yao Nie

“…Coal and gas outburst is a serious disaster in the mining, and crosscut coal is the most prone to cause the coal and gas outburst. …”
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A Study on the performance of Four Regression Models in Predicting Weather Temperature Based on Python by Li Taobei

“…For industries like agriculture and disaster management, weather forecasting is essential. …”
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UAV–UGV Formation for Delivery Missions: A Practical Case Study by Leonardo A. Fagundes-Júnior, Celso O. Barcelos, Amanda Piaia Silvatti, Alexandre S. Brandão

“…These include delivering packages in urban or remote areas, dispatching supplies to disaster or conflict zones, and facilitating delivery operations. …”
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The Effects of the 2004 Hurricane Season on Greenhouse Vegetable Production in Florida by Jeanmarie M. Mitchell, Daniel J. Cantliffe

“…In response, the federal government appropriated $13 billion for emergency assistance, of which Florida received a half billion dollars for agricultural disaster assistance. Many of Florida's producers were eligible for up to $80,000 in aid. …”
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Prediction and Evaluation of Rockburst Based on Depth Neural Network by Jin Zhang, Mengxue Wang, Chuanhao Xi

“…Based on the division of rockburst risk areas, according to different rockburst levels, the corresponding treatment methods are put forward to avoid the occurrence of rockburst disaster. Based on the field measured data and test data, combined with the existing rockburst situation, numerical simulation and neural network method are used to predict the rock burst classification, which is of great significance for the early and late construction safety of the tunnel.…”
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Study on the Influence of In Situ Stress Distribution on the Stability of Roadway Surrounding Rock by Tao Li, Hao Gong, Guoliang Xu

“…When the initial vertical stress is maximum principal stress and minimum principal stress, by comparing the roadway along the middle ground stress direction and minimum or maximum in-situ stress direction, the variation characteristics of displacement, failure zone and failure hazard zone of roadway surrounding rock are obtained, which provides theoretical basis for the treatment of disaster accidents such as roadway surrounding rock instability and rock burst caused by deep high in-situ stress.…”
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Risk Assessment of Drought Based on IEAPP-IDM in Qujing, Yunnan Province, China by Menghua Deng, Junfei Chen, Guiyun Liu, Huimin Wang

“…Due to the fact that drought risk assessment is a complex multicriteria and multilevel problem, the IEAPP-IDM model can project the multidimensional indicators of samples into one-dimension projection scores; then, the information carried by the projection scores was diffused into drought risk levels; finally, the drought disaster risk estimate was obtained. In the present study, Qujing was employed to assess the drought risk with the proposed model. …”
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Empirical Analysis of Urban Community Social Vulnerability in Hilly Areas of Kajang by Nor Diana Mohd Idris, Zulkepli Nurul Atikah

“…Therefore, there is a need to increase the resilience of the community to disaster event as well as increase the mitigation efforts by the local authorities.…”
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Lightning Current Distribution of the First and Subsequent Strokes Based on the Lightning Location System: Survey in Yunnan Power Grid by Yutang Ma, Hongchun Shu, Changxin Xiao, Gaohui Yang, Chengwei Xie, Mengmeng Zhu, Pulin Cao

“…These research findings contribute to a deeper understanding of the characteristics of lightning and provide important references for lightning prevention and disaster reduction.…”
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Comparative study on deep and machine learning approaches for predicting wind pressures on tall buildings by Mosbeh R. Kaloop, Abidhan Bardhan, Pijush Samui, Jong Wan Hu, Mohamed Elsharawy

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Multivariate-coupled-enhanced photoacoustic spectroscopy with Chebyshev rational fractional-order filtering algorithm for trace CH4 detection by Shenlong Zha, Hang Chen, Chen Liu, Yuxiang Guo, Hongliang Ma, Qilei Zhang, Lingli Li, Shengbao Zhan, Gang Cheng, Yanan Cao, Pan Pan

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Neural network based classification of rock properties and seismic vulnerability by U. Muksin, E. Riana, A. Rudiyanto, K. Bauer, A.V.H. Simanjuntak, M. Weber

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