Possibilities and challenges in the development of a global flood disaster risk indicator from the post-2015 UN processes perspective: a preliminary study

Water Policy ◽  
2014 ◽  
Vol 17 (2) ◽  
pp. 208-227 ◽  
Author(s):  
Sangeun Lee ◽  
Toshio Okazumi ◽  
Youngjoo Kwak

This study aims to contemplate possibilities and challenges in the current development of global flood disaster risk indicators (GFDRIs). To this end, methodological requirements are first identified from stakeholders' opinions included in the post-2015 UN Development process and the post-2015 Hyogo Framework for Actions process. Then, state-of-the-art methods are applied, as a preliminary attempt, to fourteen countries in Asia to understand how the GFDRI estimates plausibly describe the number of affected people and fatalities under the 50-year return period condition. The results show that GFDRIs are capable of overcoming the unavailability of data necessary to analyze flood inundation depths and areas, describing the number of people affected by flood events, using vulnerability proxies contextually meaningful to understand why flood fatalities disproportionally occur in less developed countries, and making GFDRIs simple, understandable and transparent estimates. Simultaneously, it is revealed that there is still much room to technically improve GFDRIs, especially in dealing with reluctance in assigning a single value to an indicator for a large area such as a country, inaccessibility to authorized disaster records, difficulties in showing the effectiveness of infrastructure such as dams and dykes, and lack of local knowledge about vulnerability.

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Lukas Theisgen ◽  
Florian Strauch ◽  
Matías de la Fuente ◽  
Klaus Radermacher

AbstractRisk classes defined by MDR and FDA for state-of-the-art surgical robots based on their intended use are not suitable as indicators for their hazard potential. While there is a lack of safety regulation for an increasing degree of automation as well as the degree of invasiveness into the patient’s body, adverse events have increased in the last decade. Thus, an outright identification of hazards as part of the risk analysis over the complete development process and life cycle of a surgical robot is crucial, especially when introducing new technologies. For this reason, we present a comprehensive approach for hazard identification in early phases of development. With this multi-perspective approach, the number of hazards identified can be increased. Furthermore, a generic catalogue of hazards for surgical robots has been established by categorising the results. The catalogue serves as a data pool for risk analyses and holds the potential to reduce hazards through safety measures already in the design process before becoming risks for the patient.


2021 ◽  
Vol 26 (2) ◽  
pp. 47
Author(s):  
Julien Eustache ◽  
Antony Plait ◽  
Frédéric Dubas ◽  
Raynal Glises

Compared to conventional vapor-compression refrigeration systems, magnetic refrigeration is a promising and potential alternative technology. The magnetocaloric effect (MCE) is used to produce heat and cold sources through a magnetocaloric material (MCM). The material is submitted to a magnetic field with active magnetic regenerative refrigeration (AMRR) cycles. Initially, this effect was widely used for cryogenic applications to achieve very low temperatures. However, this technology must be improved to replace vapor-compression devices operating around room temperature. Therefore, over the last 30 years, a lot of studies have been done to obtain more efficient devices. Thus, the modeling is a crucial step to perform a preliminary study and optimization. In this paper, after a large introduction on MCE research, a state-of-the-art of multi-physics modeling on the AMRR cycle modeling is made. To end this paper, a suggestion of innovative and advanced modeling solutions to study magnetocaloric regenerator is described.


2021 ◽  
Vol 13 (12) ◽  
pp. 2417
Author(s):  
Savvas Karatsiolis ◽  
Andreas Kamilaris ◽  
Ian Cole

Estimating the height of buildings and vegetation in single aerial images is a challenging problem. A task-focused Deep Learning (DL) model that combines architectural features from successful DL models (U-NET and Residual Networks) and learns the mapping from a single aerial imagery to a normalized Digital Surface Model (nDSM) was proposed. The model was trained on aerial images whose corresponding DSM and Digital Terrain Models (DTM) were available and was then used to infer the nDSM of images with no elevation information. The model was evaluated with a dataset covering a large area of Manchester, UK, as well as the 2018 IEEE GRSS Data Fusion Contest LiDAR dataset. The results suggest that the proposed DL architecture is suitable for the task and surpasses other state-of-the-art DL approaches by a large margin.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jasmin Grischke ◽  
Szymon P. Szafrański ◽  
Uthayakumar Muthukumarasamy ◽  
Susanne Haeussler ◽  
Meike Stiesch

Abstract Background The prevalence of peri-implantitis ranges between 7 and 38.4% depending on risk indicators such as smoking, diabetes mellitus, lack of periodontal maintenance program, and history or presence of periodontitis. Currently, the possible effect of the type of superstructure on peri-implant health is unclear. This cross-sectional study aims to investigate the influence of the superstructure on the prevalence of peri-implant mucositis, peri-implantitis and peri-implant dysbiosis. Methods During a 32-month recruitment period dental implants were assessed to diagnose healthy peri-implant tissues, mucositis or peri-implantitis. The study included 1097 implants in 196 patients. Out of all peri-implantitis cases 20 randomly chosen submucosal biofilms from implants with fixed denture (FD) originating from 13 patients and 11 biofilms from implants with removable dentures (RD) originating from 3 patients were studied for microbiome analysis. Composition of transcriptionally active biofilms was revealed by RNAseq. Metatranscriptomic profiles were created for thirty-one peri-implant biofilms suffering from peri-implantitis and microbiome changes associated with superstructure types were identified. Results 16.41% of the implants were diagnosed with peri-implantitis, 25.00% of implants with RD and 12.68% of implants with FD, respectively. Multivariate analysis showed a significant positive association on patient (p =  < 0.001) and implant level (p = 0.03) between the prevalence of peri-implantitis and RD. Eight bacterial species were associated either with FD or RD by linear discriminant analysis effect size method. However, significant intergroup confounders (e.g. smoking) were present. Conclusions Within the limitations of the present work, RDs appear to be a risk indicator for peri-implantitis and seem to facilitate expansion of specific periodontopathogens. Potential ecological and pathological consequences of shift in microbiome from RDs towards higher activity of Fusobacterium nucleatum subspecies animalis and Prevotella intermedia require further investigation.


2011 ◽  
Vol 368-373 ◽  
pp. 3628-3631
Author(s):  
Jun Liu ◽  
Wei Xian Zhang

Along with the development of society and the popularity of private cars, more and more parking lots are to be needed. Consequently, large sized parking lots will be built in many cities. But the traditional parking lots were paved by a large area of concrete. So much concrete will be bound to create heat pollution. Meanwhile, a large area of parking lot occupies mass openspace. The existing parking lots lead to a waste of resources. This paper introduces a new term of saving parking lot and presents some key principles that stem from a wide range of contributions. The newfashioned parking lot may also give rise to the sustainable development.


2022 ◽  
Author(s):  
Ruiling Sun ◽  
Zaiwu Gong ◽  
Weiwei Guo ◽  
Ashfaq Ahmad Shah ◽  
Jie Wu ◽  
...  

2014 ◽  
Vol 10 (3) ◽  
pp. 172-189 ◽  
Author(s):  
George Cairns

Purpose – This paper aims to critically engage with the premise of development at the “bottom of the pyramid” through consideration of the current and potential future status of the workers who dismantle end-of-life ships in the breaking yards of “less developed countries”, here with specific reference to the dynamic situation in Bangladesh. Design/methodology/approach – The study applies “critical scenario method” (CSM) to explore different possible and plausible futures for the ship-breaking industry globally and locally. Findings – The paper argues that the status of the workers in the ship-breaking industry of Bangladesh can be conceptualised as firmly set at the “bottom of the pyramid”, and that, for most if not all, this situation cannot be changed within any industry future without wider, radical change to socioeconomic and political structures both in the country and globally. Originality/value – This paper offers a contribution to the discourse on consumption at the “bottom of the pyramid” as a development process.


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