Skip to main content

Homeopathic potency (dosage) nomenclature

From herbdatanz:
Prefix/Suffix Meaning and remarks
TM Ø Tinctura Mater (Mother Tincture) Ø = Theta which is the 8th letter of the Greek alphabet and denotes a 1:10 dilution. The orthodox abbreviation for a tincture is Tr.
D or X Dilutions made on the decimal scale i.e., 1:10. The 'D' is taken from the metric prefix meaning one tenth (1/10). The 'X' is taken from the Roman numeral meaning 10 and was introduced by Constantine Hering.
C or c The 'C' was taken from the Roman numeral meaning 100 and the lower case 'c' from the metric scale meaning one hundredth (1/100). See Table 5-16A.
CM Roman numerals i.e., C = 100 M = 1000
Homeopathic meaning 1:100,000 One hundredth millesimal.
LM sometimes
as 0/1 , 0/2, etc.
Roman numerals again i.e., L =50 LM = 50,000
Homeopathic meaning 1:50,000 The 50th millesimal.
MM Roman numerals, Homeopathic meaning 1:1000,000 Thousandth millesimal
M Millesimal meaning 1:000
H Hahnemann's method of potentisation
K A method of potentisation which was introduced by a Russian General by the name of von Korsakoff in 1829, probably as a labor saving method. However, it produces inacuracies against the Hahnemannian method, so a question mark hangs over it.

Comments

Popular posts from this blog

Flowing text in inkscape (Poster making)

You can flow text into arbitrary shapes in inkscape. (From a hint here).

You simply create a text box, type your text into it, create a frame with some drawing tool, select both the text box and the frame (click and shift) and then go to text->flow into frame.

UPDATE:

The omnipresent anonymous asked:
Trying to enter sentence so that text forms the number three...any ideas?
The solution:
Type '3' using the text toolConvert to path using object->pathSize as necessaryRemove fillUngroupType in actual text in new text boxSelect the text and the '3' pathFlow the text

Pandas panel = collection of tables/data frames aligned by index and column

Pandas panel provides a nice way to collect related data frames together while maintaining correspondence between the index and column values:


import pandas as pd, pylab #Full dimensions of a slice of our panel index = ['1','2','3','4'] #major_index columns = ['a','b','c'] #minor_index df = pd.DataFrame(pylab.randn(4,3),columns=columns,index=index) #A full slice of the panel df2 = pd.DataFrame(pylab.randn(3,2),columns=['a','c'],index=['1','3','4']) #A partial slice df3 = pd.DataFrame(pylab.randn(2,2),columns=['a','b'],index=['2','4']) #Another partial slice df4 = pd.DataFrame(pylab.randn(2,2),columns=['d','e'],index=['5','6']) #Partial slice with a new column and index pn = pd.Panel({'A': df}) pn['B'] = df2 pn['C'] = df3 pn['D'] = df4 for key in pn.items: print pn[key] -> output …

Python: Multiprocessing: passing multiple arguments to a function

Write a wrapper function to unpack the arguments before calling the real function. Lambda won't work, for some strange un-Pythonic reason.


import multiprocessing as mp def myfun(a,b): print a + b def mf_wrap(args): return myfun(*args) p = mp.Pool(4) fl = [(a,b) for a in range(3) for b in range(2)] #mf_wrap = lambda args: myfun(*args) -> this sucker, though more pythonic and compact, won't work p.map(mf_wrap, fl)