460 research outputs found

    Seeking empathy in conscious cities

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    The vision of the conscious city has entered the radar. It takes as its heartland, the idea of a ‘conversation’ between inhabitants, digitally imbued objects and responsive architectural fabrics at the city scale. Can advances in the internet of everything, neuroscience, AI and big data enable social opportunities in a more sentient city? This chapter considers the ethics of an architectural dialogic — bringing questions of computational neutrality and democratic participation to the fore in the design and curation of ‘intelligent architecture’

    Glide Effects on Low Speed Unmanned Aerial Vehicles with Ice Formation

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    This paper builds on the research that was previously presented and defended at a conference and adds to the depth of glide characteristics and aerodynamics. The basic assumed theory of low speed flight is used as the starting point and determined if this holds true for low speed. Traditionally, flight has always been about achieving faster and high flight operations. Unmanned Aerial Vehicles (UAV) are not typically designed to fly fast, the construction and power units are limiting, added to the lack of complexity in propulsion systems prevents high speeds in most cases. Here, aerodynamic data for Ice on leading edge and top surfaces were analysed, the characteristics obtained and thus the limitations. Furthermore, the influences of this to for unmanned aerial vehicles when subjected to surface environmental conditions such as ice on the leading edge and upper surface. Tested in a wind tunnel to see how theory compares with practice at various speed including take-off, landing and operational applications where head winds substantially alter parameters and this is data used to determine glide paths for landing. It also recommends design and operational changes to limited situations

    Crew Resource Management and Its Possible Role in Nursing Risk Management

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    Crew Resource Management (CRM) was introduced within the aviation industry in the late 1970s after an aircraft ran out of fuel whilst the pilots were trying to solve an undercarriage problem. To reduce such errors and ultimately lower the probability of failure and the severity of risks that occur, training in CRM was rolled out across the whole industry. It has been successful over the last few years in major reductions in the number of crashes and fatalities in the commercial aviation sector. Nursing has similar concerns in that errors can ultimately result in fatalities. There are parallels in the needs and expectations of pilots and nurses to assess risk, reduce risk and deliver reliable and dependable professional services. In this paper the parallels of pilots and nurses demands are compared to assess if the lessons learned in aviation can assist nurses deliver procedures with lower risks. The analysis will draw on the demands and expectations and how they both deal with risk, challenging errors and ensuring that identified risks are not overlooked or ignored. Finally, suggestions of adopting, sharing and benchmarking between these two industries can adopt best practices so that both industries can learn from each other

    Quadratic backward propagation of variance for nonlinear statistical circuit modeling

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    Accurate statistical modeling and simulation are keys to ensure that integrated circuits (ICs) meet specifications over the stochastic variations inherent in IC manufacturing technologies. Backward propagation of variance (BPV) is a general technique for statistical modeling of semiconductor devices. However, the BPV approach assumes that statistical fluctuations are not large, so that variations in device electrical performances can be modeled as linear functions of process parameters. With technology scaling, device performance variability over manufacturing variations becomes nonlinear. In this paper we extend the BPV technique to take into account these nonlinearities. We present the theory behind the technique, and apply it to specific examples. We also investigate the effectiveness of several possible solution algorithms

    Observations on intergeneric hybrids in tilapias

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    Hybridization, Growth, Sex ratio, Reproduction, Reproductive behaviour Tilapia zillii, Oreochromis andersonii, Oreochromis aureus, Oreochromis macrochir, Oreochromis mortimeri, Oreochromis mossambicus, Oreochromis niloticus, Oreochromis placidus, Oreochromis spilurus, Oreochromis tanganicae, Sarotherodon galilaeus

    Extensions to backward propagation of variance for statistical modeling

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    Why decision making may not require awareness

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    Newell & Shanks (N&S) argue against the idea that any significant role for unconscious influences on decision making has been established by research to date. Inasmuch as this conclusion applies to the idea of an "intelligent cognitive unconscious," we would agree. Our concern is that the article could lead the unwary to conclude that there are no unconscious influences on decision making - and never could be. We give reasons why this may not be the case

    Energy and force analysis of Ti-6Al-4V linear friction welds for computational modeling input and validation data

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    The linear friction welding (LFW) process is finding increasing use as a manufacturing technology for the production of titanium alloy Ti-6Al-4V aerospace components. Computational models give an insight into the process, however, there is limited experimental data that can be used for either modeling inputs or validation. To address this problem, a design of experiments approach was used to investigate the influence of the LFW process inputs on various outputs for experimental Ti-6Al-4V welds. The finite element analysis software DEFORM was also used in conjunction with the experimental findings to investigate the heating of the workpieces. Key findings showed that the average interface force and coefficient of friction during each phase of the process were insensitive to the rubbing velocity; the coefficient of friction was not coulombic and varied between 0.3 and 1.3 depending on the process conditions; and the interface of the workpieces reached a temperature of approximately approximately 1273 K (1000 °C) at the end of phase 1. This work has enabled a greater insight into the underlying process physics and will aid future modeling investigations.EPSRC, Boeing Company, Welding Institut
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