Eliezer batista da silva biography of mahatma
A Brazilian billionaire entrepreneur. He has founded companies in different business sectors, mainly in mining. He is the son of Eliezer Batista da Silva, a longtime head of mining company Vale. As of 2010, he is the eighth richest person in the world. Major companies founded by Eike Batista are EBX, MMX, OGX, MPX, LLX, Mr Lam (Chinese restaurant), Porto de Peruíbe, OSX. A large portion of his wealth was made from OGX, an oil and gas exploration company founded in 2007. In 2010, he became the wealthiest person in Brazil, with an estimated fortune of US$27.0 billion, making him the fourth richest person living in the Americas and the eighth richest person in the world according to Forbes Magazine.
"I think big, and I'm not afraid to take risks -- even if I'm alone,'' Batista says during an interview in his Rio office. ``I started out in the gold business. I know about risk and loss and having to build a business from scratch when nobody believes in you.''
Batista, who favors pink ties and dark suits and sprinkles his Portuguese with English phrases like ``a win-win situation,'' is reveling in the prospect of greater wealth. In January, he told the Sao Paulo newspaper O Estado de S. Paulo: ``I want to surpass Bill Gates in five years. Brazil has to be No. 1.''
Batista's investments in mining, power, oil, real estate, logistics, entertainment and forestry give him an empire of roughly $17 billion
"He's the quintessential multitasker,'' says Gouvea, 33, corporate finance director at MMX, Batista's flagship publicly traded corporation. ``He is the only person I know who can have control of several deals at once and still be thinking about making money with really good ideas.''
Superstition helps too, Batista says. All of his company names -- EBX, MMX, OGX, LLX -- contain the letter ``x,'' for the multiplication of wealth in numerology, which holds that there is a mystical relationship between people's lives and letters and
The method of production of the original data.
Hover to see a suggestion for a minimum description. To produce this dataset, we build on the process, results, and data outputs from time-series analysis of Landsat images in characterizing global forest extent and change from 2000 through 2020 (Hansen et al., Science 2013; version 1.8). Here forest loss during the period 2000–2020, is defined as a stand-replacement disturbance, or a change from a forest to non-forest state; encoded as either 0 (no loss) or else a value in the range 1–20, representing loss detected primarily in the year 2001–2020, respectively. We aggregate the original data at 30x30 meter spatial resolution using a factor of 100 that resulted in a new dataset at a resolution of 3000x3000 meters. All calculations and processing were made using ArcGIS Pro tools. The value of each 3000x3000 meter pixel in this aggregated dataset represents the number of pixels at the original resolution (30x30 meters) that experienced this transition from forest to non-forest state in a particular year.
The coverage content type describes the general content type of the resource (multiple selection possible).
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