Death Wish (Italian) Download.After a week at sea, 56 passengers and crew members safely made it to a port in Italy early Sunday morning, according to the Italian Interior Ministry.
The ship was traveling from Tunisia to Libya when it got into trouble on Thursday. According to CNN, the ship had not changed its course for 2 hours when its generator failed.
Passengers tried to use emergency lights to direct the vessel but it was hard to see in the dark and swells continued to get bigger.
Sick passengers on board a rescue boat were then transferred to the Italian Coast Guard boat who towed the ship until they arrived in the port of Marsala in Italy.
The Italian Coast Guard transferred the passengers and crew to the Italian Navy vessel Diciotti, which then took the passengers to Taranto where they were welcomed by Italian officials and other passengers.
“Everyone is well and safe,” a spokesperson for MSF, the medical mission, said.
At least three were taken to hospitals in the port of Marsala for medical checks.
Tension was high at the port of Marsala as family members looked for loved ones at the ship.
Since the start of the North African crisis, thousands of refugees have been stranded on their way to Europe.
The Italian government is aiming to take in 20,000 refugees in 2017, compared to 19,845 in 2016, according to NPR.
“At least 3,000 people have been rescued since Thursday, but the numbers are likely to be higher,” said Istat, the Italian national statistics agency. “Many have asked for asylum.”Q:
Matlab: how to achieve highly efficient calculation of histogram?
I am trying to find the most efficient way to produce a histogram of a matrix of floats in matlab. However, the resulting histogram is not extremely good, especially when the original matrix is already very big, for example, more than 100x100x100.
I use the following function to calculate the histogram:
[x,bins]=histogram(data);
where data is the matrix I want to histogram. The time that is taken is significant, and this is why I am trying to optimize it.
I have tried to use the trick of using to find the bins:
[x,bins]=histogram(data,100);
But this method is be359ba680
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