2,962,947 research outputs found

    Revolutionary

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    This poem describes Black radical love as revolutionary. The authors address how radical Black love sustains resistance and Blackness and is revolutionary

    FLOW

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    Hey guys! I was in the second group of new stews for paddling and got to see Flow last Friday (Sept. 26th). I loved it!! This was right up my ally, being an Int\u27l Studies/Human Rights double major. The effects of water control and water pollution are just astounding. I knew, in some countries, it was bad - but I didn\u27t realize it was this bad

    Peak Flow Meter Equipped with Inspection Results Indicator

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    Peak Flow Meter (PFM) is a tool to measure the Peak Flow of Air Expiration in the road (PFR) or commonly referred to as Peak Expiration Flow (PEF) and to connect asthma. The value of PEF can help a number of factors in age, respiratory muscle strength, height and gender. Airway measurements are used to measure patients suffering from asthma. This peak flow meter tool works based on the air pressure produced from the patient\u27s puff using the MPX5100GP pressure sensor in the range of 0 to 100 kPa and the voltage output is 0.2 to 4.7 VDC to increase wind pressure in the patient. From the pressure converted to voltage and enter the 0 from the Arduino nano minimum system circuit to be processed into analog data and then put into units of liters / second, the value of the flow meter is sent and replaced to a PC with the Delphi7 application. The measurement results of PEF values at peak flow meters have an error value of less than 5% This peak flow meter tool also has a consideration value of 0.095475 so that this tool can be said to be very certain to be used as asthma. Then it can be concluded that the peak flow meter is feasible and meets the specified requirement

    Modal and nonmodal stability analysis of electrohydrodynamic flow with and without cross-flow

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    We report the results of a complete modal and nonmodal linear stability analysis of the electrohydrodynamic flow (EHD) for the problem of electroconvection in the strong injection region. Convective cells are formed by Coulomb force in an insulating liquid residing between two plane electrodes subject to unipolar injection. Besides pure electroconvection, we also consider the case where a cross-flow is present, generated by a streamwise pressure gradient, in the form of a laminar Poiseuille flow. The effect of charge diffusion, often neglected in previous linear stability analyses, is included in the present study and a transient growth analysis, rarely considered in EHD, is carried out. In the case without cross-flow, a non-zero charge diffusion leads to a lower linear stability threshold and thus to a more unstable low. The transient growth, though enhanced by increasing charge diffusion, remains small and hence cannot fully account for the discrepancy of the linear stability threshold between theoretical and experimental results. When a cross-flow is present, increasing the strength of the electric field in the high-ReRe Poiseuille flow yields a more unstable flow in both modal and nonmodal stability analyses. Even though the energy analysis and the input-output analysis both indicate that the energy growth directly related to the electric field is small, the electric effect enhances the lift-up mechanism. The symmetry of channel flow with respect to the centerline is broken due to the additional electric field acting in the wall-normal direction. As a result, the centers of the streamwise rolls are shifted towards the injector electrode, and the optimal spanwise wavenumber achieving maximum transient energy growth increases with the strength of the electric field

    Discovering information flow using a high dimensional conceptual space

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    This paper presents an informational inference mechanism realized via the use of a high dimensional conceptual space. More specifically, we claim to have operationalized important aspects of G?rdenforss recent three-level cognitive model. The connectionist level is primed with the Hyperspace Analogue to Language (HAL) algorithm which produces vector representations for use at the conceptual level. We show how inference at the symbolic level can be implemented by employing Barwise and Seligmans theory of information flow. This article also features heuristics for enhancing HAL-based representations via the use of quality properties, determining concept inclusion and computing concept composition. The worth of these heuristics in underpinning informational inference are demonstrated via a series of experiments. These experiments, though small in scale, show that informational inference proposed in this article has a very different character to the semantic associations produced by the Minkowski distance metric and concept similarity computed via the cosine coefficient. In short, informational inference generally uncovers concepts that are carried, or, in some cases, implied by another concept, (or combination of concepts)
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