Show up in a sentence
1. 'He probably won't show up.' 'Don't be so negative.'
2. He was liable to just show up without warning.
3. It was decent of you to show up today.
4. We had 200 people show up for our seminar.
5. Other vessels in the area show up on the ship's radar .
6. Hang the picture somewhere where it will show up to advantage.
7. Use a light colour which will show up on a dark background.
8. Scientists know that cancer may not show up for many years.
9. There's no telling who is going to show up tonight.
10. The drug does not show up in blood tests because it is effective in very small quantities.
11. The fingertips on the glass show up in the sunlight.
12. You could wait till Doomsday and he'd never show up.
13. He might show up later, but I doubt it.
14. The regulars show up later, after supper.
15. Some people love to show up and parade through.
16. What? Amber didn't show up again? Typical.
17. The silver inlays show up as pale areas because they are denser than brass to X-rays.
18. More generally, water will show up from a distance by catching and reflecting light from the sky.
19. No more scoring mean-spirited points to show up the other side.
20. The merchants realised how well pink coral would show up against dark pigmentation.
21. They show up as curved lines on a photographic film.
22. I have already commented that colours will not show up unless the intensity of the light is sufficiently great.
23. You may have some strange disease that may not show up for 10 or 15 years.
24. I invited him for eight o'clock, but he didn't show up until nine-thirty.
25. I had to stand in for her on Tuesday when she didn't show up.
26. She is the aggrieved person whose fiance & 1 & did not show up for their wedding.
27. They rushed the burial through so no evidence would show up.
28. She is the aggrieved person whose fiance did not show up for their wedding.
28. Sentencedict.com try its best to collect and build good sentences.
29. We waited until five o'clock, but he did not show up.
30. Its figures are based on computer modelling techniques to predict the consequences of policies before they show up in national statistics.