23 research outputs found

    Investigate the Piano Learning Rate with Haptic Actuators in Mixed Reality

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    With mixed reality (MR) becoming widely available, it could enhance learning because special equipment like musical instruments or access to instructors will be less of a concern. Furthermore, passive haptic learning systems to learn piano are promising research subjects. We combine both trends of MR and haptic learning to build a piano learning application. Through a study with diverse participants, we evaluate the piano application. The study results show the potentiality of the on-skin actuators and we hope our work could foster the future iterations of the actuators for a fun and effective learning environment

    Towards Language-Agnostic Reuse of Palladio Quality Analyses

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    The shared socio-economic pathway (SSP) greenhouse gas concentrations and their extensions to 2500

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    Anthropogenic increases in atmospheric greenhouse gas concentrations are the main driver of current and future climate change. The integrated assessment community has quantified anthropogenic emissions for the shared socio-economic pathway (SSP) scenarios, each of which represents a different future socio-economic projection and political environment. Here, we provide the greenhouse gas concentrations for these SSP scenarios – using the reduced-complexity climate–carbon-cycle model MAGICC7.0. We extend historical, observationally based concentration data with SSP concentration projections from 2015 to 2500 for 43 greenhouse gases with monthly and latitudinal resolution. CO2 concentrations by 2100 range from 393 to 1135 ppm for the lowest (SSP1-1.9) and highest (SSP5-8.5) emission scenarios, respectively. We also provide the concentration extensions beyond 2100 based on assumptions regarding the trajectories of fossil fuels and land use change emissions, net negative emissions, and the fraction of non-CO2 emissions. By 2150, CO2 concentrations in the lowest emission scenario are approximately 350 ppm and approximately plateau at that level until 2500, whereas the highest fossil-fuel-driven scenario projects CO2 concentrations of 1737 ppm and reaches concentrations beyond 2000 ppm by 2250. We estimate that the share of CO2 in the total radiative forcing contribution of all considered 43 long-lived greenhouse gases increases from 66 % for the present day to roughly 68 % to 85 % by the time of maximum forcing in the 21st century. For this estimation, we updated simple radiative forcing parameterizations that reflect the Oslo Line-By-Line model results. In comparison to the representative concentration pathways (RCPs), the five main SSPs (SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5) are more evenly spaced and extend to lower 2100 radiative forcing and temperatures. Performing two pairs of six-member historical ensembles with CESM1.2.2, we estimate the effect on surface air temperatures of applying latitudinally and seasonally resolved GHG concentrations. We find that the ensemble differences in the March–April–May (MAM) season provide a regional warming in higher northern latitudes of up to 0.4 K over the historical period, latitudinally averaged of about 0.1 K, which we estimate to be comparable to the upper bound (∌5 % level) of natural variability. In comparison to the comparatively straight line of the last 2000 years, the greenhouse gas concentrations since the onset of the industrial period and this studies' projections over the next 100 to 500 years unequivocally depict a “hockey-stick” upwards shape. The SSP concentration time series derived in this study provide a harmonized set of input assumptions for long-term climate science analysis; they also provide an indication of the wide set of futures that societal developments and policy implementations can lead to – ranging from multiple degrees of future warming on the one side to approximately 1.5 ∘C warming on the other

    Towards a Reusable First Stage Demonstrator: CALLISTO - Technical Progresses & Challenges

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    In order to investigate the capabilities of a reusable launch system, JAXA, CNES and DLR have jointly initiated the project CALLISTO ("Cooperative Action Leading to Launcher Innovation for Stage Toss-back Operations"). The goal of this cooperation is to launch, recover and reuse a first stage demonstrator to increase the maturity of technologies necessary for future operational reusable launch vehicles (RLV) and to build up know-how on such vehicles under operational and developmental aspects. As the project has now turned into the detailed design phase, significant technical progresses have been made in definition, analysis and testing of systems and subsystems. The CALLISTO vehicle itself constitutes a subscale vertical take-off vertical landing (VTVL) stage with an overall length of 13.5 m and a take-off mass of less than 4 tons, which is propelled by a throttleable LOX/LH2 engine. It is capable to perform up to 10 consecutive flights during the planned flight campaign in French Guiana. Globally, the development effort on this system is equally shared between the three project partners. This paper presents the recent achievements in development of the key technologies for the reusable launch vehicle. While the design of critical subsystems has reached PDR level, detailed analyses and first breadboard tests have been performed successfully. These results are presented and discussed within the perimeter of the CALLISTO development roadmap. Possible technical challenges are indicated and their resolution methods are examined. Finally, the upcoming development steps are described which are foreseen to move forward to the qualification and maiden flight campaign

    Addressing climate change with behavioral science: a global intervention tournament in 63 countries

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    Effectively reducing climate change requires marked, global behavior change. However, it is unclear which strategies are most likely to motivate people to change their climate beliefs and behaviors. Here, we tested 11 expert-crowdsourced interventions on four climate mitigation outcomes: beliefs, policy support, information sharing intention, and an effortful tree-planting behavioral task. Across 59,440 participants from 63 countries, the interventions’ effectiveness was small, largely limited to nonclimate skeptics, and differed across outcomes: Beliefs were strengthened mostly by decreasing psychological distance (by 2.3%), policy support by writing a letter to a future-generation member (2.6%), information sharing by negative emotion induction (12.1%), and no intervention increased the more effortful behavior—several interventions even reduced tree planting. Last, the effects of each intervention differed depending on people’s initial climate beliefs. These findings suggest that the impact of behavioral climate interventions varies across audiences and target behaviors

    25th annual computational neuroscience meeting: CNS-2016

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    The same neuron may play different functional roles in the neural circuits to which it belongs. For example, neurons in the Tritonia pedal ganglia may participate in variable phases of the swim motor rhythms [1]. While such neuronal functional variability is likely to play a major role the delivery of the functionality of neural systems, it is difficult to study it in most nervous systems. We work on the pyloric rhythm network of the crustacean stomatogastric ganglion (STG) [2]. Typically network models of the STG treat neurons of the same functional type as a single model neuron (e.g. PD neurons), assuming the same conductance parameters for these neurons and implying their synchronous firing [3, 4]. However, simultaneous recording of PD neurons shows differences between the timings of spikes of these neurons. This may indicate functional variability of these neurons. Here we modelled separately the two PD neurons of the STG in a multi-neuron model of the pyloric network. Our neuron models comply with known correlations between conductance parameters of ionic currents. Our results reproduce the experimental finding of increasing spike time distance between spikes originating from the two model PD neurons during their synchronised burst phase. The PD neuron with the larger calcium conductance generates its spikes before the other PD neuron. Larger potassium conductance values in the follower neuron imply longer delays between spikes, see Fig. 17.Neuromodulators change the conductance parameters of neurons and maintain the ratios of these parameters [5]. Our results show that such changes may shift the individual contribution of two PD neurons to the PD-phase of the pyloric rhythm altering their functionality within this rhythm. Our work paves the way towards an accessible experimental and computational framework for the analysis of the mechanisms and impact of functional variability of neurons within the neural circuits to which they belong

    ELEVON-ELEVON GAP FLOW IMPINGEMENT

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    The paper presents an experimental and numerical investigation of the unsteady, transitional flow resulting at a cantilever flap configuration of a space vehicle in cold hypersonics. The goal oft the study is to investigate the potential to use an aerodynamic controlled vehicle for an aerobraking manoeuvre when returning from a Moon mission. An experimental investigation is carried out in the high-speed Ludwig tube facility of the Technische UniversitÀt Braunschweig, at Mach 6, Reynolds numbers varying frorn 2.4 106 to 1.7 10 7, and supported by numerical solutions obtained with the TAU code of the DLR. The analysis of the experimental and numerical results displays a complex unsteady flow topology at the control surfaces, with severe hot points resulting from shock-shock interaction, shock-boundary layer interaction and jet flow in the gap between the flaps. The resulting jet impingement at the flaps results in heat fluxes which largely surpass the stagnation point heat flux. Such situation becomes more severe as the flow evolves from almost laminar for the low Reynolds number case to transitional at the flaps for the high Reynolds number case. It turns out aerobraking manoeuvres with aerodynamic controlled vehicles should be carefully designed since shock-shock interactions may jeopardizing the whole mission

    Regime Legitimacy in Troubled Waters: To What Extent Does Inequality Influence Trust in Political Institutions in Thailand (2002-2016)?

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    Thailand ranks not only among the world’s most unequal societies but is also a unique case regarding political instability. Along many recent legitimacy crises, contributing to the country’s instability, it turned out that Thailand mostly lacks specific support for regime institutions, as diffuse support for the national community is rather stable. This study intends to bridge a gap in the literature by connecting inequality and institutional trust, to find out if high socio-economic disparities contribute to the lack of regime legitimacy. Using ordered logistic regression models, data from the Asian Barometer surveys on trust in political institutions is related to explanatory variables such as income, evaluations of the national and household economy, regional origin and political values. The results show that inequality increasingly affects institutional trust. However, these effects are strongly connected to regional differences and additionally shaped by political values. This study conclusively provides an option for increasing regime legitimacy and mitigating Thailand’s political conflict: Reduction of socio-economic inequality
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