101 research outputs found

    Investigating the effects of odour integration in reading and learning experiences

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    Books are the tools used for reading novels and stories, but also for educational purposes. Conventional books have undergone a radical transformation in recent years due to the use of new technologies. However, even today the technological devices used for reading e-books are still poorly exploited, despite the fact that they represent a fundamental tool to make the reading experience more immersive by using a complete multisensory approach. In this perspective, one sense that represents an important element of human perception is the sense of smell. Consequently, authors make the hypothesis that the introduction of odours during reading sessions could increase the user experience and the learning performances. In order to demonstrate these hypotheses, the authors have defined and carried out several experimental testing sessions. The analysis of the collected data proved that the introduction of odour does not disturb the reader during reading activities but, on the contrary, can actually make the experience more immersive. Similarly, odours do not disturb studying activities, but they can instead increase the level of concentration and people's learning performance

    Comparison of Novice and Experienced Drivers Using the SEEV Model to Predict Attention Allocation at Intersections During Simulated Driving

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    We compared the eye movements of novice drivers and experienced drivers while they drove a simulated driving scenario that included a number of intersections interspersed with stretches of straight road. The intersections included non-hazard events. Cassavaugh, Bos, McDonald, Gunaratne, & Backs (2013) attempted to model attention allocation of experienced drivers using the SEEV model. Here we compared two SEEV model fits between those experienced drivers and a sample of novice drivers. The first was a simplified model and the second was a more complex intersection model. The observed eye movement data was found to be a good fit to the simplified model for both experienced (R2 = 0.88) and novice drivers (R2 = 0.30). Like the previous results of the intersection model for the experienced drivers, the fit of the observed eye movement data to the intersection model for novice drivers was poor, and was no better than fitting the data to a randomized SEEV model. We concluded based on the simplified SEEV model, fixation count and fixation variance that experienced drivers were found to be more efficient at distributing their visual search compared to novice drivers

    Improving resilience management for critical infrastructures\u2014strategies and practices across air traffic management and healthcare

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    Recent natural and man-made disasters highlight that a more resilient approach to preparing for and dealing with such events is needed. To address this challenge, the main objective of the research and innovation H2020 project DARWIN is the development of European resilience management guidelines for Critical Infrastructures (CI). Based on a systematic literature survey with a world-wide scope and prioritization of resilience concepts, the guidelines have been developed taking into account everyday operations, contingency plans, training, etc. This paper describes insights gained from the adaptation of these guidelines in the domains of Air Traffic Management (ATM) and Healthcare (HC). A collaborative and iterative process has been defined involving relevant experts and practitioners. To ensure transnational, cross-sector applicability and uptake, a Community of Crisis and Resilience Practitioners (DARWIN DCoP) has been involved. The preliminary results indicate that a big step has been taken in moving from the resilience theory to practice. organization in the creation, assessment or improvement of its own reference guidelines, procedures and practices

    Resilience management guidelines for critical infrastructures, translating resilience theory into practical and useful interventions

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    Resilience goes beyond safety and risk management encompassing the ability of organisations to proactively adapt to expected and unexpected situations (crisis, opportunities and changes). The literature on resilience is overwhelming, our systematic literature survey identified 300 different definitions on resilience, diverse developments. Hence, there is a need to translate this fragmented body of knowledge into consolidated practical solutions. The purpose of this paper is to introduce the final version of resilience management guidelines produced in the H2020 DARWIN project. Through a multidisciplinary approach, involving experts in the field of resilience, crisis and risk management and service providers in the Air Traffic Management, healthcare domains as well as representatives from other domains, the DARWIN project has produced evolving resilience management guidelines (DRMG). These guidelines are not prescriptive. Instead they enable organizations to have a critical view on their own crisis management activities. The DRMG are available in different formats for easy usage and maintenance to avoid them being dust-collectors on a shelf. In this way, organizations can adapt, adopt and integrate the guidelines into their own existing management practices and procedures. Through an iterative development process involving academia and practitioners, the guidelines are constructed around Capability Cards (CCs). The evaluation in pilot exercises and other activities involved 247 practitioners from 22 countries explored the possibility to adapt the CCs to the Healthcare and Air Traffic Management domains. It also consider the feasibility of generalizing them to other Critical Infrastructure domains. Our achievement is the current version of guidelines proposing practical interventions that end-users find useful. This paper represents and invitation to explore the content of the guidelines, to encourage its use and further developments of the resilience management

    Dalitz analysis of three-body charmless B0-->K0pi+pi- decay

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    Attempt for prevent recurrence of subsequent preterm delivery in women with second trimester loss referencing placental pathologic findings

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    妊娠中期の流早産既往妊婦は流早産を反復する高リスク群である。その原因としては子宮頸管無力症と絨毛膜羊膜炎 (CAM) が多いと報告されているが、臨床経過のみで診断され、次回以降の妊娠では頸管縫縮術が施行される場合が多い。そこで我々は、妊娠中期の流早産既往妊婦に対し、流早産時の臨床記録に加え胎盤病理における炎症所見を評価し、次回以降の妊娠管理の参考とし、転帰を検討した。妊娠中期の流早産の既往があり、かつ流早産時の胎盤病理組織標本が存在する6例を対象とした。胎盤病理において、絨毛膜羊膜炎、脱落膜炎等の所見から「非炎症型」、「絨毛膜羊膜炎 (CAM) 優位型」、「脱落膜炎優位型」に分類した。次回以降の妊娠において、「非炎症型」は子宮口開大の先行が推定され、頚管縫縮術を施行した。「脱落膜炎優位型」は、腟洗浄とウリナスタチン腟座剤挿入のみで妊娠管理を行う方針とした。「CAM優位型」は臨床所見を参考に、頸管縫縮術と腟洗浄を選択することとした。いずれも32週以降まで妊娠継続が可能であった。妊娠中期の流早産既往妊婦に対し、臨床経過に加えて胎盤病理所見を評価し次回妊娠を管理することは、反復流早産予防に対し有効である可能性が示唆された。journal articl
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