22 research outputs found

    Cost-effective Analysis of Drone for Disaster Victim Identification (DVI): Islamic Insurance Perspectives

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    Islamic insurance(takaful) companies use cutting-edge technology to serve their customers better. Drone adoption in the sector has been intermittent, with certain regions of the globe making more use of this technology than others. The process of identifying corpses (often in large numbers) after a catastrophe is known as disaster victim identification. This study provides preliminary results based on cost-effectiveness analysis, net present value and internal rate of return to assess the cost impact of potential drone adoption. The two most essential opportunity costs to consider are time and money.   Keywords: drone; Islamic insurance; takaful; disaster   eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under the responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians), and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v7i21.374

    Socializing One Health: an innovative strategy to investigate social and behavioral risks of emerging viral threats

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    In an effort to strengthen global capacity to prevent, detect, and control infectious diseases in animals and people, the United States Agency for International Development’s (USAID) Emerging Pandemic Threats (EPT) PREDICT project funded development of regional, national, and local One Health capacities for early disease detection, rapid response, disease control, and risk reduction. From the outset, the EPT approach was inclusive of social science research methods designed to understand the contexts and behaviors of communities living and working at human-animal-environment interfaces considered high-risk for virus emergence. Using qualitative and quantitative approaches, PREDICT behavioral research aimed to identify and assess a range of socio-cultural behaviors that could be influential in zoonotic disease emergence, amplification, and transmission. This broad approach to behavioral risk characterization enabled us to identify and characterize human activities that could be linked to the transmission dynamics of new and emerging viruses. This paper provides a discussion of implementation of a social science approach within a zoonotic surveillance framework. We conducted in-depth ethnographic interviews and focus groups to better understand the individual- and community-level knowledge, attitudes, and practices that potentially put participants at risk for zoonotic disease transmission from the animals they live and work with, across 6 interface domains. When we asked highly-exposed individuals (ie. bushmeat hunters, wildlife or guano farmers) about the risk they perceived in their occupational activities, most did not perceive it to be risky, whether because it was normalized by years (or generations) of doing such an activity, or due to lack of information about potential risks. Integrating the social sciences allows investigations of the specific human activities that are hypothesized to drive disease emergence, amplification, and transmission, in order to better substantiate behavioral disease drivers, along with the social dimensions of infection and transmission dynamics. Understanding these dynamics is critical to achieving health security--the protection from threats to health-- which requires investments in both collective and individual health security. Involving behavioral sciences into zoonotic disease surveillance allowed us to push toward fuller community integration and engagement and toward dialogue and implementation of recommendations for disease prevention and improved health security

    Achieving targeted environmental flows: alternative allocation and trading models under scarce supply—lessons from the Australian reform process

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    The problem of water overallocation in many regions of the world involves how to include environmental flow provisions for long-term sustainability of river systems, especially under scarce supply conditions. Market mechanisms have provided pathways for returning water to rivers for environmental use. We argue that it is important to consider how both market mechanisms and initial water allocation models contribute to achieving satisfactory environmental flow outcomes. The Murray-Darling Basin (MDB) in Australia has had policy processes applied to it for almost twenty years to address these issues, and provides an excellent basis for case-study analysis. Two MDB case studies are used to consider differences in the interpretation and implementation of environmental flow requirements, and the potential for institutional inertia of the systems within which water markets operate. We identify two simplified models from these case studies—one prioritising environmental rights above consumptive extraction and the other prioritising consumptive and environmental rights equally. However, neither of these case-study models provides the full environmental flow spectrum of base in-stream flows to over-bank flush events. Our findings suggest that combining allocation and market-based rights (a third model) offers an effective means to deliver full-spectrum environmental flows. If governments provide prioritised environmental rights for base in-stream ecosystem benefits, together with targeted temporary and permanent water market acquisitions to meet environmental needs associated with over-bank floods and flushes, there will be lower potential for shortfalls relative to targeted environmental flow outcomes.

    Novel cross-talk within the IKK family controls innate immunity

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    International audienceMembers of the IκB kinase (IKK) family play a central role in innate immunity by inducing NFκB- and IRF-dependent gene transcription programmes required for the production of pro-inflammatory cytokines and interferons. However, the molecular mechanisms that activate these protein kinases and their complement of physiological substrates remain poorly defined. Using MRT67307, a novel inhibitor of IKKε/TBK1 and BI605906, a novel inhibitor of IKKβ, we demonstrate that two different signalling pathways participate in the activation of the IKK-related protein kinases by ligands that activate the IL-1, TLR3 and TLR4 receptors. One signalling pathway is mediated by the canonical IKKs, which directly phosphorylate and activate IKKε and TBK1, whereas the second pathway appears to culminate in the autocatalytic activation of the IKK-related kinases. In contrast, the TNFα-induced activation of the IKK-related kinases is mediated solely by the canonical IKKs. In turn, the IKK-related kinases phosphorylate the catalytic subunits of the canonical IKKs and their regulatory subunit NEMO, which is associated with reduced IKKα/β activity and NFκB-dependent gene transcription. We also show that the canonical IKKs and the IKK-related kinases not only have unique physiological substrates, such as IκBα, p105 and RelA (IKKα and IKKβ) and IRF3 (IKKε and TBK1), but also have several substrates in common, including the catalytic and regulatory (NEMO and TANK) subunits of the IKKs themselves. Taken together, our studies reveal that the canonical IKKs and the IKK-related kinases regulate each other by an intricate network involving phosphorylation of their catalytic and regulatory (NEMO, TANK) subunits to balance their activities during innate immunity

    NASA Information Sciences and Human Factors Program

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    This report contains FY 1984/85 descriptions and accomplishments in six sections: Computer Science and Automation, Controls and Guidance, Data Systems, Human Factors, Sensor Technology, and Communications
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