Malawi’s department of Mining and Geological Survey has announced that the state campaign that was launched to attract mining investors was successful, with major international mining companies signing up to invest in production and exploration operations in the country. To further boost investments, t...
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Malawi mining laws toothless on social responsibility Mining sector commentators have faulted the silence of laws governing the sector on corporate social responsibility of mining companies. The… Read More » Business News Dumbani MzaleNovember 28, 2014 Mining laws silent on corporate responsibili...
A principal axis factor analysis was conducted to determine the most important factors concerning the manager-employee relationships.The results confirmed the importance of the manager-employee relationships in the successful operation in the mining companies in Africa. Suggestions are outlined to improve ...
She reminded people that exposure of one person means exposure to everyone in the family including children. She urged companies involved in the mining to work together to safeguard the health of people. National TB and Leprosy Elimination Program (NTELP) Research Care and Treatment Offic...
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Chilwa Minerals [ASX:CHW] - Mineral sands exploration project in the eastern Zomba district in Malawi near the border of Mozambique Chimata Gold is now CAT Strategic Metals Corporation China Gold International Resources [TSX:CGG] - Operates two producing mines in China: the CSH Gold Mine in Inne...
DMCI Holdings[PSE:DMC]- Nickel in the Philippines DNI Metals[TSX-V:DNI]- Polymetallic black shales uranium and diamonds DY6 Metals[ASX:DY6]- Heavy Rare Earths & Critical Metals Projects in Southern Malawi Dacian Gold was acquired byGenesis Minerals ...
He said: “This [the amendment] will ultimately reduce costs as companies will be able to claim their input VAT. Investment in mineral exploration is risky and very expensive; hence, the need for government to provide a conducive environment.” ...
Data Mining in Manufacturing Data mining can also prove useful inoptimizing internal processes and operations. For example, manufacturers can use machine learning algorithms topredict machine wear and maintenancebased on production and usage. Reducing costs and removing bottlenecks allows companies to run ...