For example, I discovered that one journal title is "Journal of X" for some .bib entries, but "The Journal of X" for other entries (they should all include "The"). Or an author is "John Public" for some entries, but "John Q. Public." for other entries.
I noticed that if I type .bib entries there is autocomplete, but I almost exclusively import entries from the web, which short-circuits this tool.
Can JabRef standardize these entries? Or should I reply on find-replace my text editor?
Thanks!
bibclean checks syntax and fixes the author ordering, among other things.
JabRef has an option to abbreviate and unabbreviate an entries' journal name based on ISO or MEDLINE. You could try converting to abbreviations and back?
If you want authors names to be abbreviated then you can use the following in your latex file
\bibliographystyle{abbrv}
Related
I need a text file to contain every title / title of each topic / title of each item in a .txt file each on its own line.
How can I do this or make this if I have already downloaded a freebase rdf dump?
If possible, I also need a separate text file with each topic's / item's description on a single line each description on its own line.
How can I do that?
I would greatly appreciate it if someone could help me make either of these files from a Freebase rdf dump.
Thanks in Advance!
Filter the RDF dump on the predicate/property ns:type.object.name. If you only want a particular language, also filter by that language e.g. #en.
EDIT: I missed the second part about descriptions being desired as well. Here's a three part regex which will get you all the lines with:
English names
English descriptions
a type of /commmon/topic
Combining the three is left as an exercise for the reader.
zegrep $'\tns:(((type\\.object\\.name|common\\.topic\\.description)\t.*#en)|type\\.object\\.type\tns:common\\.topic)\\.$' freebase-rdf-2013-06-30-00-00.gz | gzip > freebase-rdf-2013-06-30-00-00-names-descriptions.gz
It seems to have a performance issue that I'll have to look at. A simple grep of the entire file takes ~11 min on my laptop, but this has been running several times that. I'll have to look at it later though...
Salesforce separates family and personal names according to western convention.
That is the first name is personal and the last is a family name. This can be changed by changing the salesforce locale (say from the US to China) so that a the first name is the familyname and the last name(s) are personal
So in the vanilla SF John Smith appears as John Smith. If you switch to the Chinese localisation it would appear as Smith John.
Equally in vanilla Lim Keat Song would appear as Keat Song Lim, but would be correct in the chinese localisation as Lim Keat Song.
My problem is that about 30% of my contacts have East Asian names and so neither localisation is entirely satisfactory.
What are the the best ways of resolving this on a standard contact object?
I've asked the question on salesforce and as far as I can see there isn't much on this on google.
I'm asking this because whilst I can solve it - probably along the lines of the SD question - it's probably a known problem and I would like to find the best solution rather than reinventing the wheel.
Just for your idea.
We add two custom fields as Formula on the Contact object.
One custom field called Last Name refer to the Standard Last Name field on the Contact,
the other called First Name refer to the Standard First Name field on the Contact.
Therefore, you don't need to do any data import to these custom fields, but only define how to display your customized Last Name and First Name fields in the Contact display.
And this layout of Last Name and First Name will not change with users' localisation setting.
This may be not a perfect way to solve this, I wish it would help.
I want to build lists of prefixes and suffixes of some length from all the IUPAC names mentioned in Pubchem Database,so that I can use them further in my project as a feature.So I want all the IUPAC chemical names in a text file or in some format where I can extract these lists.
Thanks.
Sounds you need something like this Nist species list
You can search for most also in the Webbook but I failed to find a download link for the complete set.
In our lab we got a Cd(?) with the mass spectral database which contained the (complete? - well it got like 250.000 substances) database as text file. Maybe you can get that through some of the vendors.
The pubchem site offers you to download a dump of their data by ftp. Why not use that?
PubChem data can be downloaded via ftp from the PubChem site. A complete description of the available data can be obtained here: https://pubchemdocs.ncbi.nlm.nih.gov/downloads
Of particular interest for the question of IUPAC names, the data are downloadable from the "Compound Extras" section of the ftp site: ftp://ftp.ncbi.nlm.nih.gov/pubchem/Compound/Extras/
The README-Extras file in this location describes the data in detail. For the IUPAC names, the following information is provided:
CID-IUPAC.gz:
This is a listing of all CIDs with their computed IUPAC names.
It is a gzipped text file with CID, tab, IUPAC on each line. Note
that the names may contain UTF8 characters.
A download today (23-Apr-2020) contains 102,586,778 rows. An excerpt of the information is shown below.
> head CID-IUPAC
1 3-acetyloxy-4-(trimethylazaniumyl)butanoate
2 (2-acetyloxy-3-carboxypropyl)-trimethylazanium
3 5,6-dihydroxycyclohexa-1,3-diene-1-carboxylic acid
4 1-aminopropan-2-ol
5 (3-amino-2-oxopropyl) dihydrogen phosphate
6 1-chloro-2,4-dinitrobenzene
7 9-ethylpurin-6-amine
8 2,3-dihydroxy-3-methylpentanoic acid
9 (2,3,4,5,6-pentahydroxycyclohexyl) dihydrogen phosphate
11 1,2-dichloroethane
I need a list of common first names for people, like "Bill", "Gordon", "Jane", etc. Is there some free list of lots of known names, instead of me having to type them out? Something that I can easily parse with the programme to fill in an array for example?
I'm not worried about:
Knowing if a name is masculine or feminine (or both)
If the dataset has a whole pile of false positives
If there are names that aren't on it, obviously no dataset like this will be complete.
If there are 'duplicates', i.e. I don't care if the dataset lists "Bill" and "William" and "Billy" as different names. I'd rather have more data than less
I don't care about knowing the popularity the name
I know Wikipedia has a list of most popular given names, but that's all in a HTML page and manged up with horrible wiki syntax. Is there a better way to get some sample data like this without having to screen scrape wikipedia?
A CSV from the General Register Office of Scotland with all the forenames registered there in 2007.
Another large set of first names in CSV format and SQL format too (but they didn't say which DB dumped the SQL).
GitHub page with the top 1000 baby names from 1880 to 2009, already parsed into a CSV for you from the Social Security Administration.
CSV of baby names and meanings from a Princeton CS page.
That ought to be enough to get you started, I'd think.
You can easily consume the Wikipedia API (http://en.wikipedia.org/w/api.php) to retrieve the list of pages in specific category, looks like Category:Given names is something you want to start from.
http://en.wikipedia.org/w/api.php?action=query&list=categorymembers&cmnamespace=0&cmlimit=500&cmtitle=Category:Given_names
The part of result from this URL looks like this:
<cm pageid="5797824" ns="0" title="Abdou" />
<cm pageid="5797863" ns="0" title="Abdu" />
<cm pageid="859035" ns="0" title="Abdul Aziz" />
<cm pageid="6504818" ns="0" title="Abdul Qadir" />
Look at the API and select appropriate format and query parameters, and check categories.
P.S.
BTW, The wiki-text from page you linked to contain names in a form that easy to extract using regexp... As well as titles of links in the rendered HTML page have “(name)” attached to the name itself.
Social Security Administration - Beyond the Top 1000 Names Data Files
The above is a comprehensive list of first names in use in the US. The zip files contain national and state-level data by year of birth in CSV format. It includes the number of occurrences (minimum 5) and gender. For example, the national file for 2010 includes 33,838 baby names.
We're using SQL Server 2005 in a project. The users of the system have the ability to search some objects by using 'keywords'. The way we implement this is by creating a full-text catalog for the significant columns in each table that may contain these 'keywords' and then using CONTAINS to search for the keywords the user inputs in the search box in that index.
So, for example, let say you have the Movie object, and you want to let the user search for keywords in the title and body of the article, then we'd index both the Title and Plot column, and then do something like:
SELECT * FROM Movies WHERE CONTAINS(Title, keywords) OR CONTAINS(Plot, keywords)
(It's actually a bit more advanced than that, but nothing terribly complex)
Some users are adding numbers to their search, so for example they want to find 'Terminator 2'. The problem here is that, as far as I know, by default SQL Server won't index short words, thus doing a search like this:
SELECT * FROM Movies WHERE CONTAINS(Title, '"Terminator 2"')
is actually equivalent to doing this:
SELECT * FROM Movies WHERE CONTAINS(Title, '"Terminator"') <-- notice the missing '2'
and we are getting a plethora of spurious results.
Is there a way to force SQL Server to index small words? Preferably, I'd rather index only numbers like 1, 2, 21, etc. I don't know where to define the indexing criteria, or even if it's possible to be as specific as that.
Well, I did that, removed the "noise-words" from the list, and now the behaviour is a bit different, but still not what you'd expect.
A search won't for "Terminator 2" (I'm just making this up, my employer might not be really happy if I disclose what we are doing... anyway, the terms are a bit different but the principle the same), I don't get anything, but I know there are objects containing the two words.
Maybe I'm doing something wrong? I removed all numbers 1 ... 9 from my noise configuration for ENG, ENU and NEU (neutral), regenerated the indexes, and tried the search.
These "small words" are considered "noise words" by the full text index. You can customize the list of noise words. This blog post provides more details. You need to repopulate your full text index when you change the noise words file.
I knew about the noise words file, but I'm not why your "Terminator 2" example is still giving you issues. You might want to try asking this on the MSDN Database Engine forum where people that specialize in this sort of thing hang out.
You can combine CONTAINS (or CONTAINSTABLE) with simple where conditions:
SELECT * FROM Movies WHERE CONTAINS(Title, '"Terminator 2"') and Title like '%Terminator 2%'
While the CONTAINS find all Terminator the where will eliminate 'Terminator 1'.
Of course the engine is smart enough to start with the CONTAINS not the like condition.