Then we go to the other field delimiting topic that may be identified with the following keywords: "rot(ting)", "mould", "fungi" and "moisture":
(#9) TS=rot: 38.486
(#10) TS=rotting: 38.486
(#11) TS="mould": 112.660
(#12) TS="fungi": 198.518
(#13) TS="moisture": 179.517
(#14) (TS="rot") OR (TS="rotting") OR(TS="mould") OR (TS="fungi") OR (TS="moisture": 498.885
We can add few
wild characters to check is the plural of the key-words, is included, automatically:
(#15) TS="rot*": 795.602 (that is really too much)
(#16) TS="rot?": 15.303 (that is really too low)
but the intrsection of #16 and #9 counts 1.646 records, so we took a look of them and we decided to avoid wild chars to "rot" and without "" because the set #9 NOT #10 is empty (0). We have similar results with the term "moisture", while the case of the term "fungi" must be extended and include "fungus". "fungal". at the end, we choose the following set:
(#17) (TS=rot) OR (TS=mould?) OR (TS="fung*") OR (TS=moisture) OR (TS=myco*): 682.552
The intesection (#15 AND #9) gives 1.980 results.
Then we try another, even wider, way::
(#18) (TS=rot) OR (TS=mould*) OR (TS="fung*") OR (TS=moisture): 612.339
Since the five keywords above are very close and the intersection between the five sets of results are very little, we take the union of the five, obtaining a very big set of paper (#14). The intersection between set (#9) and (#14) is a reasonable number of papers (205, that doubles the intersection between (#1) and (#11), 104 papers):
In the complete form, we write:
(#17) AND (#14) = [(TS="building product") OR (TS="construction product") OR (TS ="building material") OR (TS ="construction material")] AND [(TS="rot") OR (TS="rotting") OR(TS="mould") OR (TS="fungi") OR (TS="moisture")]: 205
Is this set of paper enough? we could restrict it with other key-words, like "decay", "degradation", ... or "health", "sick building syndrome" and similar others, but the number is reasonable and we can look at everyone of the 205, reading its title and, if not clear, the abstract, to identify really interesting papers.