The automatic identification of unstable approaches from flight data by Coumou, Hunink and de Boer. Unstable approaches have been identified as a major risk factor in approach and landing accidents and runway excursions, but hardly ever lead to go-arounds despite strong safety initiatives.
Previous research largely supports the notion that mediated contact and engagement with minority characters can improve viewers’ real-life minority attitudes. However, it is unclear to what extent different forms of media engagement such as parasocial friendship and wishful identification are linked to attitudes, and whether deep-level similarities affect engagement with minority characters. Deep-level similarities refer to viewers’ perception of shared personality traits, attitudes, and social experiences with characters. In a cross-sectional survey, we examine (1) to what extent parasocial friendship and wishful identification with an LGBTQ character are each associated with viewers’ prejudicial attitudes toward the LGBTQ community, and (2) to what extent perceived deep-level similarities of an LGBTQ character are related to viewers’ parasocial friendship and wishful identification felt for the LGBTQ character. Based on a structural equation model using a sample of U.S. residents (n = 247), it may be concluded that the deep-level similarities of LGBTQ characters have both direct and indirect associations with LGTBQ prejudice, mediated by wishful identification.
Background: Urban slums are characterised by unique challenging living conditions, which increase their inhabitants’ vulnerability to specific health conditions. The identification and prioritization of the key health issues occurring in these settings is essential for the development of programmes that aim to enhance the health of local slum communities effectively. As such, the present study sought to identify and prioritise the key health issues occurring in urban slums, with a focus on the perceptions of health professionals and community workers, in the rapidly growing city of Bangalore, India. Methods: The study followed a two-phased mixed methods design. During Phase I of the study, a total of 60 health conditions belonging to four major categories: - 1) non-communicable diseases; 2) infectious diseases; 3) maternal and women’s reproductive health; and 4) child health - were identified through a systematic literature review and semi-structured interviews conducted with health professionals and other relevant stakeholders with experience working with urban slum communities in Bangalore. In Phase II, the health issues were prioritised based on four criteria through a consensus workshop conducted in Bangalore. Results: The top health issues prioritized during the workshop were: diabetes and hypertension (non-communicable diseases category), dengue fever (infectious diseases category), malnutrition and anaemia (child health, and maternal and women’s reproductive health categories). Diarrhoea was also selected as a top priority in children. These health issues were in line with national and international reports that listed them as top causes of mortality and major contributors to the burden of diseases in India. Conclusions: The results of this study will be used to inform the development of technologies and the design of interventions to improve the health outcomes of local communities. Identification of priority health issues in the slums of other regions of India, and in other low and lower middle-income countries, is recommended.
Many lithographically created optical components, such as photonic crystals, require the creation of periodically repeated structures [1]. The optical properties depend critically on the consistency of the shape and periodicity of the repeated structure. At the same time, the structure and its period may be similar to, or substantially below that of the optical diffraction limit, making inspection with optical microscopy difficult. Inspection tools must be able to scan an entire wafer (300 mm diameter), and identify wafers that fail to meet specifications rapidly. However, high resolution, and high throughput are often difficult to achieve simultaneously, and a compromise must be made. TeraNova is developing an optical inspection tool that can rapidly image features on wafers. Their product relies on (a) knowledge of what the features should be, and (b) a detailed and accurate model of light diffraction from the wafer surface. This combination allows deviations from features to be identified by modifying the model of the surface features until the calculated diffraction pattern matches the observed pattern. This form of microscopy—known as Fourier microscopy—has the potential to be very rapid and highly accurate. However, the solver, which calculates the wafer features from the diffraction pattern, must be very rapid and precise. To achieve this, a hardware solver will be implemented. The hardware solver must be combined with mechatronic tracking of the absolute wafer position, requiring the automatic identification of fiduciary markers. Finally, the problem of computer obsolescence in instrumentation (resulting in security weaknesses) will also be addressed by combining the digital hardware and software into a system-on-a-chip (SoC) to provide a powerful, yet secure operating environment for the microscope software.
In the last decade, the automotive industry has seen significant advancements in technology (Advanced Driver Assistance Systems (ADAS) and autonomous vehicles) that presents the opportunity to improve traffic safety, efficiency, and comfort. However, the lack of drivers’ knowledge (such as risks, benefits, capabilities, limitations, and components) and confusion (i.e., multiple systems that have similar but not identical functions with different names) concerning the vehicle technology still prevails and thus, limiting the safety potential. The usual sources (such as the owner’s manual, instructions from a sales representative, online forums, and post-purchase training) do not provide adequate and sustainable knowledge to drivers concerning ADAS. Additionally, existing driving training and examinations focus mainly on unassisted driving and are practically unchanged for 30 years. Therefore, where and how drivers should obtain the necessary skills and knowledge for safely and effectively using ADAS? The proposed KIEM project AMIGO aims to create a training framework for learner drivers by combining classroom, online/virtual, and on-the-road training modules for imparting adequate knowledge and skills (such as risk assessment, handling in safety-critical and take-over transitions, and self-evaluation). AMIGO will also develop an assessment procedure to evaluate the impact of ADAS training on drivers’ skills and knowledge by defining key performance indicators (KPIs) using in-vehicle data, eye-tracking data, and subjective measures. For practical reasons, AMIGO will focus on either lane-keeping assistance (LKA) or adaptive cruise control (ACC) for framework development and testing, depending on the system availability. The insights obtained from this project will serve as a foundation for a subsequent research project, which will expand the AMIGO framework to other ADAS systems (e.g., mandatory ADAS systems in new cars from 2020 onwards) and specific driver target groups, such as the elderly and novice.
De belangrijkste opdracht voor leerkrachten bewegings-onderwijs in het primair onderwijs is kinderen leren bewegen. Het HAN Centre of Expertise Sport & Talent krijgt vanuit het werkveld bewegingsonderwijs continu vragen hoe het beweegniveau van kinderen vast te stellen en met welke programma?s excellente bewegers geholpen kunnen worden om zich verder te ontwikkelen. Om alle kinderen goed te leren bewegen moeten leerkrachten bewegingsonderwijs kinderen onderwijs op maat kunnen aanbieden. Onderwijs op maat betekent een programma dat aansluit bij het niveau van een kind. Een valide, betrouwbaar en eenvoudig toepasbaar instrument om het beweegniveau te meten ontbreekt echter. Op basis van de praktijkvragen zijn voor dit project de volgende onderzoeksvragen geformuleerd: Hoe kan de docent bewegingsonderwijs het beweegniveau van elk kind op een valide, betrouwbare en eenvoudige wijze (h)erkennen? En hoe ziet een programma eruit om excellente bewegers verder te helpen ontwikkelen? Opbrengsten: 1. een instrument om het beweegniveau in kaart te brengen en 2. beweegprogramma?s voor excellente bewegers. Om het beweegniveau van kinderen vast te stellen worden drie meetinstrumenten (KTK, ooghandcoördinatietest, Scale for Identification of Sport Potential) gebruikt. Deze meetinstrumenten worden gezien als middelen om het sportief talent van kinderen vast te stellen. In deze studie wordt onderzocht of met de gezamenlijke scores van de drie testen een beweegquotiënt kan worden berekend waarmee het beweegniveau van een kind kan worden uitgedrukt. Met experts uit de vakwereld bewegingsonderwijs zal een programma worden ontwikkeld voor excellente bewegers in de leeftijd van 6 tot 9 jaar. Dit programma zal vervolgens op 10 scholen worden uitgevoerd en geanalyseerd en resultaten worden vergeleken met vergelijkbare controlegroepen. In de laatste fase van het project staat valorisatie centraal. Via een online medium, artikelen, symposium en cursussen zullen leerkrachten bewegingsonderwijs kennismaken met het instrument om beweegniveau te meten en programma?s om excellente bewegers te helpen in hun ontwikkeling.
