Example sentences for: field

How can you use “field” in a sentence? Here are some example sentences to help you improve your vocabulary:

  • In every field, women too numerous to list were involved in developing knowledge and contributing to the welfare of their societies as they did so: the Roman Fabiola established a hospital where she worked both as nurse and doctor, becoming the first known woman surgeon before she died in AD 399.

  • We'll be swimming, planning sports, going on exciting field trips, helping others through community service projects, planning our own camp carnival, and joining great clubs like jewelry making, juggling, snack cooking, and nature crafts.

  • Furthermore, even if electrical injuries generally involve much higher field strength [ 20 ] , it is noteworthy that some pathologic changes found after electric shock resemble the one observed in muscle after electroporation i.e. the decolouration in bands of the muscle fibbers described by Morita et al.

  • The water-filled bucket has now rested, silent and waiting, until the cannonball strikes the paddle wheel, whereupon the wheel spins, the red rope winds up, pulling the water-filled bucket up the well, up against the axle, which tilts the bucket over  you will have to imagine this part  and pours the water into a long funnel that slopes down from the wellhead toward my bean field.

  • Recently, the use of surface-enhanced laser desorption/ionization (SELDI) time-of-flight mass spectrometry profiling of patient serum proteins, combined with advanced data mining algorithms, to detect protein patterns associated with malignancy, has been reported as a promising field of research to achieve the goal of early cancer detection [ 1 2 3 4 5 ] . Several reports have detailed the ability of this proteomic method to diagnose the difference between ovarian cancer [ 6 7 8 ] , prostate cancer [ 9 10 11 12 13 ] , and bladder cancer [ 13 14 ] . Much of the effort in these analyses has focused on the use of a variety of data mining tools such as the evaluation of prostate cancer using peaks in the mass to charge (M/Z) region between 2 K and 40 K combined with boosted decision tree analysis [ 10 ] to try to detect patterns that allow the diagnosis of cancer versus non-cancer.


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