Fix Firefox “The certificate is not trusted because it is self signed” error
If you want to visit a site and get a popup with this error in Firefox 3.5, what you have to do is this:
1. Type about:config in the address bar. From the window that appears, find the following line “browser.xul.error_pages.enabled”. If the value from the same line is false, then double click it(it will turn to “true”).
2. Enter the URL of the webpage that you wanted again, a window will appear offering you the option of adding an exception that allows you to view the website.
Adding an exception can also be done manually, following the steps:
1. Go to “Tools” menu and then “Options” .
2. Click on “Advanced”, then tab “Encryption” .
3. Click on the “View Certificates” button.
4. Select the tab called “Servers” from the window that appears.
5. Click on the button “Add Exception” (bottom right).
If the POP3 access trick described in my Yahoo Mail free POP access post does not work (and because of that the method described in this post for reading Yahoo Mail in Gmail does not work), your only option is to use a third party application.
The simplest way to read Yahoo Mail messages in your Gmail inbox is to use the free web application called Nutshellmail. Just sign up for an account, setup Gmail as your primary address and setup your yahoo account. You will start receiving your Yahoo Mail in Gmail. You can customize the hours when Nutshellmail checks for Yahoo email, but the interval cannot be less than an hour. Another disadvantage is that the messages arrive batched in a single email, but this is a small price to pay for getting the email in Gmail for free.
Amdahl’s law states that the speedup achieved through parallelisation of a program is limited by the percentage of its workload that is inherently serial. We can get no more than a maximum speedup equal to 1 / (s + p / N ) where
s = the length of the serial part of the problem
p = the length of the parallel part of the problem
N = number of processors used
Gustafson’s law states that , with increasing data size, the speedup obtained through parallelisation increases, because the parallel work increases(scales) with data size.
To those who took Amdahl’s law as an argument against Massively Parallel Processing, Gustafson’s law proves they are wrong.
1. Today, Amdahl’s presumption of fixed data size is obviously a restriction which does not map into reality for many problems.
2. Both laws are in fact different perspective over the same truth – one sees data size as fixed and the other sees the relation as a function of data size.
My compilers teacher was Preston Briggs’ teacher.
I’m happy and proud that I managed to get here.
My blog was stumbled a few days ago, and this is the result:
I always heard about such spikes in visitors / page views, but I never thought it would happen to me 
. Five times more visitors than the average, in one day.
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