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The matter of Dr. Rockwell’s psychiatric treatment of Thomas, an emergency room physician
Throughout the trial these twenty-four items were argued by the defense and the prosecution. Several of the items were alleged to be incomplete, and the defense wanted the jury to hear the complete story. If the jury found that Thomas had made prior false statements, the jury could infer that he must have done so in regard to these twenty-four items. At the close of the trial, the trial judge instructed the jury that these twenty-four items of prior false statements were evidence of Thomas’s bad character, and, as such, were to be considered by the jury only “as to his credibility as a witness.” This instruction is clearly in accord with the Kentucky Supreme Court decision in Grice v. State, 303 S.W.2d 442 (Ky.1957). In Grice, the court held that when evidence of a prior crime is admitted in a criminal trial, the evidence is admissible only as to the defendant’s credibility, and may not be used by the jury to infer guilt.
The trial court was within its
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A: Looks like you’re using a 64-bit OS, so the installer found the version of the software you want in the 64-bit install folder. You can try uninstalling the 32-bit version and then trying to install the 64-bit version. Q: Slicing an image into multiple images I want to take an image, slice it to every 10 columns, and then save it as new files. My code below works as follows: It takes in a single.png and then slices out every 10 columns and saves them as a new file. Here is an example input image: and the resulting output file: The second column and onward are all shifted one down, it should really be saving for example the 25th column and onwards. I am not sure why it keeps cutting the images like this. import cv2 from scipy.misc import imsave img = cv2.imread(‘single.png’) s = (img.shape[1]/10) for i in range(s): slice = img[:,i*10:(i+1)*10] save_path = ‘output’+str(i)+’.jpg’ imsave(save_path, slice) A: The for-loop works correctly. But when you run the script in python shell, you will find that it is going through the images starting from 1. You can easily make the script start with 0 by changing range(s) to range(0,s) Solution: import cv2 from scipy.misc import imsave img = cv2.imread(‘single.png’) s = (img.shape[1]/10) for i in range(0,s): slice = img[:,i*10:(i+1)*10] save_path = ‘output’+str(i)+’.jpg’ imsave(save_path, slice) Identification and quantification of photosensitizers as electron donors in aqueous TiO2 suspensions. The electron- 6d1f23a050
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