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The authors present a new concept of digital gastronomy—Cornucopia, a futuristic cooking methodology based on digital technologies. They discuss how they have merged kitchen tools with science fiction and actual technologies to create this new design space for gastronomy. The Virtuoso Mixer, the Digital Fabricator and the Robotic Chef were conceptualized to enable more flexibility and control over each of the most important elements of cooking: mixing ingredients, modeling food shapes and transforming edible matter from one state to another. The authors discuss related work and ideas, present their designs and propose their vision for the emerging design space of digital gastronomy.

Com o você pensa a relação entre o tem po literá rio e o tem po histórico?P r e fir o p e n sa r n a re la ç ã o e n tre o tem p o lite r á r io e a situação histórica. N o s anos 1980 e 1990 a sensação do

The water resources quality continuous monitoring is a complex activity. It generates extensive databases with time series of many variables and monitoring points that require the application of statistical methods for the information extraction. The application of statistical methods for frequency analysis of time series is linked to attending of the basic assumptions of randomness, homogeneity, independence, and stationarity. However, despite its importance, the verification of these assumptions in water quality literature is unusual. Therefore, the present study tests the Upper Iguaçu basin water quality time series against the mentioned hypotheses. Rejection was observed in 15%, 26%, 51% e 31% for randomness, homogeneity, independence, and stationarity, respectively. The results evidenced the strong relation between monitoring strategy, data assessment and meeting of basic statistical assumptions for the analysis of water quality time series. Even with the existence of possible solutions for addressing those issues, the standard monitoring strategies, with irregular frequencies and lack of representativeness in relation to other periods, beyond commercial, act as an obstacle to their implementation.

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In this video, we describe a series of techniques for building sensors, actuators and circuit boards that behave, look, and feel like paper. By embedding electro-active inks, conductive threads and smart materials directly into paper during the papermaking process, we have developed seamless composites that are capable of supporting new and unexpected application domains in ubiquitous and pervasive computing at affordable costs.

Scientists and water resources managers are increasingly worried about issues related to uncertainty. Although uncertainty analysis has been required in the decision-making processes, there is still a lack of knowledge on how to do it. The application of statistical methods for water resources research requires time series to be compliant with the hypotheses of randomness, homogeneity, independence, and stationarity (RHIS). Noncompliance may occur when trends, cycles, and/or shifts are present. However, the uncertainties and associated subjectivity in assessment and expression may make it difficult to detect these patterns of variability. In this research, synthetic time series (STS) were generated from the uncertainties in flow rates and a water quality parameter, and tested for RHIS by the Single-Sample Runs, Mann-Whitney, Wald and Wolfowitz, and Mann-Kendall tests, respectively. The tests were applied with an increasing number of elements (N). Three uncertainty scenarios were defined, the low level (LL: 10-30%), mid level (ML: 30-50%) and high level (HL: 50-70%). The Monte Carlo Method (MCM) was applied with uniform, normal and lognormal probability distributions. In each scenario, averages and standard deviations (std) were calculated as a measure of the p-values uncertainty. Although the complete series were compliant with the hypotheses, the p-values and std ranges varied from one extreme to the other (0.0-1.0) as N increased. The std ranges had an impact on the decisions when the pvalue was close to the rejection limit. The randomness p-value for the flows in the uniform case was 0.04, while the STS p-values were ≈ 0.05 ± 0.04, 0.09 ± 0.10, and 0.18 ± 0.20 in the LL, ML and HL scenario respectively. However, the decision on significance should not be based only on p-values, since the actual existence and continuity of patterns of variability depends more on representativity-related issues. The results lead to the conclusion that efforts to reduce uncertainties should be directed towards the development of appropriate monitoring and data analysis/interpretation strategies.