The STATA’s command –capture- allows you to check if the file that you are trying to open exists. This command evaluates whether or not the file is in the folder you are using. Then, –capture- assigns a value to the macro _rc depending on whether the file is in the folder or not. Therefore, we can use the value of _rc to continue with our STATA’s script.
I am using Google Reader since I do not remember when. The new design implemented some time ago brought, I think, an inefficient use of the space. I believe that the new (and also current) top bar cover almost 20% of the page. For those who use Google Reader, this screen may look familiar:
Some people enjoy reading on paper not only because they can make annotations and highlight text easily, but also because they actually like their handwriting. If you are not one of those, then the following guide may help you. I will show how to extract all the highlighted text and the annotations from a PDF using Acrobat Professional. I did an extensive research (i.e. I tried many different keywords in Google!) before understanding how to extract the annotations from a PDF file. I did not find too many useful articles on the internet. It turned to be an easier process than what most of the site I visited described, so I hope that Google ranks this page well!
Professor Tallys Yunes (U. of Miami) created a nice video for the INFORMS Annual Meeting 2012 in Phoenix.
It seems that in Arizona I can be able to get someone to read my papers. Oh! I have to publish first!
When you copy a paragraph from a PDF file organized in two columns, similar to (1), and paste it into MS Word, you get something similar to (2).
How can you get a normal paragraph without those ugly line breaks and get something similar to what is shown in (3)?
From time to time I discover interesting articles in Google Reader. I mark with a start those articles that I want to read later or store for future re-reading. Since I use Evernote to organize my notes, I was happy when I found that you can setup a simply process to send the starred items in Google Reader to your Evernote account. That is what IFTTT can do for you.
IFTTT lets you create “if X then Y” statements, in which X and Y are actions or events related to some internet services. In the case of my starred articles in Google Reader, I have the following recipe:
If “an item is starred in Google Reader” then “send it as a new note in Evernote”.
You can find a lot of recipes already created in IFTTT, so you may want to take a look at its website.
The Strategic Management Society (SMS) holds an Annual Meeting since the 80’s. The meeting is hosted in USA and in an international location (mostly in Europe) every other year. Since the SMS is the most important academic society focused on strategic management, I wanted to know who goes to the meetings (I had my chance at the Special Conference in Rio de Janeiro!). Thus, I collected the data that is publicly available at the SMS website in order to build some tables summarizing the data (No! I didn’t personally visit each session’s page. I built a python script similar to this one).
In the following table, I show the number of papers that have one or more authors from an USA’s university. I only show the data of paper sessions and not of panel sessions, that is, I exclude here panel session’s chairs and panelists. I selected the first 15 universities with the most number of papers. It is important to note that some papers are assigned to more than one university, since there are papers written by scholars from different universities. UT-Dallas ranking assigns a score of 1/n to the affiliation of each author, where n is the number of authors of the paper. I kept my count simple. I assigned a score of 1 to the affiliation of each author, but I did not count twice (or more) in those cases in which there are two (or more) authors from the same university.