Sentence examples for an acceptable output from inspiring English sources
Much time was spent tuning the component values of this subsystem in order to successfully achieve an acceptable output.
Based on the parallel circuit design, the palm-power TE generator was assembled by the flexible composite films and realized a low internal resistance of 1.1 Ω and an acceptable output power of 36 nW in the palm of hand.
The results showed that the integrated system had an acceptable output in terms of throughput and end-end delay for the LTE network.
The aim to capture enough signal energy to maintain an acceptable output signal-to-noise ratio (SNR) dictates a very complicated Rake structure with a large number of fingers.
The selected protein BLAST search to locate unique proteins (e.g., the conserved hypothetical protein, GenBank: ZP06602469; sucC protein, GenBank: ZP06602580) did not show an acceptable output to proceed with primer/probe design.
Where vasopressor, inotrope, or both requirements persist, we maintain an acceptable cardiac output, avoiding fluid overload but targeting tissue perfusion and have a low threshold for diuresis in the haemodynamically stable patient in the postinflammatory phase of illness.
Adults with SFM usually have an acceptable cardiac output and blood pressure and are frequently not volume-responsive; any extra administered fluid tends to accumulate in the interstitial space, potentially exacerbating the already impaired end-organ perfusion.
30% in order to get an acceptable animal output (Pflimlin and Journet, 1983), although Laidlaw and S teen (1989) and Chestnutt (1992) have suggested that much lower levels have been efficiently utilized by stock.
The main point in the all previous research works is acceptable output result of artificial neural network that introduced this method as a powerful tool for qualitative modeling of dam reservoirs.
The management of information flows, or the planning and control of the system to achieve acceptable outputs, is an important task of the production manager.
From the results obtained it may be concluded that the developed neural networks permit acceptable outputs for the prediction of the investigated surface roughness parameters, vibration level and tool-flank wear.
