future scarcities, wave of extinctions, supply bottlenecks a tidal wave of unrest the breakdown of social order a tsunami of disaster "In March, for the first time, Director of National Intelligence James R. Clapper listed “competition and scarcity involving natural resources” as a national security threat on a par with global terrorism, cyberwar, and nuclear proliferation... There was a new phrase embedded in his comments: “resource shocks.” "
In 1999, Cameco set up a subsidiary, Cameco Europe Ltd., in low-tax Zug, Switzerland. Cameco then signed a 17-year deal to take the uranium it produces in Canada, sell it to Cameco Europe, and have Cameco Europe make the final sale to the end customers all across the world.
Everybody's heard of the controversy over lithium supplies, which are a key component of the lithium-ion battery packs going into EVs. Lithium deposits are concentrated in just a few mostly non-western countries (China, Bolivia, Chile). Most experts think there's enough lithium for the foreseeable future, though some of it is in countries hostile to the U.S. (including, as we've recently discovered, Afghanistan). But there is growing concern over another key raw material for the electric car -- rare earth minerals.
Child labor in artisanal gold mining is common in many countries worldwide, particularly within West Africa’s gold belt, which spans Burkina Faso, Côte d’Ivoire, Ghana, Guinea, Niger, Nigeria, and Senegal. Mali is Africa’s third largest gold producer.
In the Obama years, US Africa Command has also built a sophisticated logistics system, officially known as the Africom Surface Distribution Network, but colloquially referred to as "the new spice route". Its central nodes are in Manda Bay, Garissa and Mombasa in Kenya; Kampala and Entebbe in Uganda; Bangui and Djema in the CAR; Nzara in South Sudan; Dire Dawa in Ethiopia; and the Pentagon's showpiece African base, Camp Lemonnier.
Joan Martínez Alier: "President Rafael Correa of Ecuador asks when and where Marx criticizes mega-mining...[...] But what would Marx have said of mega-mining and the ideas of President Correa?" "... there are concepts in Marx that the arrogance mixed with ignorance of President Correa have caused him to forget."
"La population a hérité de 50 millions de tonnes de résidus radioactifs stockés à Arlit et Areva continue de pomper gratuitement 20 millions de mètres cubes d'eau par an pendant que la population meurent de soif", a dénoncé M. Mamane. Selon lui, "les rues et les habitations d'Arlit sont construits à l'aide de résidus radioactif et la nappe phréatique usée et contaminée s'assèche par la faute d'Areva". "Le pire c'est que Areva continue de nier tout cela", a-t-il déploré.
Canadian gold-mining company Infinito Gold Ltd. announced its intentions to go forward with a $1 billion lawsuit against Costa Rica over the retracted Las Crucitas open-pit gold mining concession in northern Costa Rica (Oct 2013)
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
BBC News forum posts: 2,594,745 comments from selected BBC News forums and > 1,000 human classified sentiment strengths with a postive strength of 1-5 and a negative strength of 1-5. The classification is the average of three human classifiers.
Digg post comments: 1,646,153 comments on Digg posts (typically highlighting news or technology stories) and > 1,000 human classified sentiment strengths with a postive strength of 1-5 and a negative strength of 1-5. The classification is the average of three human classifiers.
MySpace (social network site) comments: six sets of systematic samples (3 for the US and 3 for the UK) of all comments exchanged between pairs of friends (about 350 pairs for each UK sample and about 3,500 pairs for each US sample) from a total of >100,000 members and > 1,000 human classified sentiment strengths with a postive strength of 1-5 and a negative strength of 1-5. The classification is the average of three human classifiers.