code: def sqrt_scale_standardize(vec, terms=None, other_vec=None):
      vec_ss = np.sqrt(vec)
      vec_ss = (vec_ss - vec_ss.mean()) / vec_ss.std()
      return scale_0_to_1(vec_ss)
  
imports: from typing import Callable
  import numpy
  import pandas
  from scipy.stats import rankdata
label_desc: Use image node_id 15 for calling a global function with example usage: sqrt_scale_standardize(vec, terms, other_vec) and returns: scale_0_to_1