SCRAPPING THE MINING TAX- IS IT GOOD OR BAD? Executive summary Introduction The Australian governments mining tax‚ the mineral resource rent tax (MRRT) has always been under the radar for its ever changing policies. It is very easy to pint out its significant issues‚ but reforming the tax is quite a major task at hand. All the corporations involved within the mining industry‚ as well the different corporations in the economy‚ pay a current income tax rate of 30% on its revenue that they earn
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Deep Ocean Mining Part 2 Deep ocean mining is an alternative to land mining in search of minerals such as copper‚ gold‚ manganese or cobalt among other minerals. The minerals on land are being depleted owing to the increasing demand for these minerals‚ and this makes the deep sea bed an alternative to the exploitation of minerals. The fact that the water bodies cover a huge part of earth’s surface makes deep sea mining even more viable
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Accidents[edit] In April 2013‚ at least 17 people were killed while mining illegally at a disused gold mine in Ghana’s central region. The ground reportedly caved in on the miners as they searched for gold deposits‚ and authorities were unclear as to how many miners originally went in. Sixteen bodies were excavated‚ with one man dying in hospital from his injuries.[ The activities of the miners pollute rivers and streams nearby that serve as a source of drinking water for communities downstream.
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Wildcat Mining Recently there has been a dispute between the Munduruku Tribe and “wildcat miners”‚ in which several illegal miners had set up various mines on the Munduruku’s land in search of gold. To remove these miners on their land‚ the tribe’s leaders travelled to Brazil‚ demanding from the government to remove illegal miners on their territory. Unfortunately‚ a court action by the government could take years and years‚ thus the Munduruku Tribe decided to evict the illegal miners by themselves
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Data Warehousing‚ Data Marts and Data Mining Data Marts A data mart is a subset of an organizational data store‚ usually oriented to a specific purpose or major data subject‚ that may be distributed to support business needs. Data marts are analytical data stores designed to focus on specific business functions for a specific community within an organization. Data marts are often derived from subsets of data in a data warehouse‚ though in the bottom-up data warehouse design methodology the data
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Chilean Mining Incident BCOM/275 Any time a business suffers some type of tragedy that could potentially involve serious injury or loss of life to the employees of the company‚ it is very important to ensure that the communication that follows is appropriate. The process of handling these types of events can make or break a company in the wake of a disaster. Communication to the families of the victims of the disaster will need a different type of communication than will the employees of the
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Dangers of Mining Industry in the Philippines A Term Paper Presented to Mrs. Lorna Caponong Department of English CASS‚ MSU-IIT In Partial Fulfillment of the Requirements for ENGLISH 2 (Writing in Discipline) Second Semester‚ SY 2010-2011 by Charissa L. Abingosa Sittie Joharah Alulong Maria Reziel E. Cortes Jeff de Jesus March 15‚ 2012 TOPIC OUTLINE I. Introduction II. Mining Industry in the Philippines A. Brief History of Mining in the Philippines B. Scales of Mining Operations
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The mining sector is made up of organisations whose primary activity is the extraction of naturally occurring mineral solids or natural resources. Examples of these types of minerals are coal‚ ores and precious stones. The mining industry also broadly covers quarrying and well operations. The sector comprises two basic activities: mine operations and mining support activities. "Mine operations" involve setting up the mine‚ quarry or well for the organization‚ or on behalf of another organization
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Knowledge in Data For each of the following meetings explain which phase in CRISP-DM process is represented: a. Managers want to know by next week whether deployment will take place. Therefore analysts meet to discuss how useful and accurate their model is. This is the Evaluation phase in the CRISP-DM process. In the evaluation phase the data mining analysts determine if the model and technique used meets business objectives established in the first phase. b. The data mining project manager
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DATA INTEGRATION Data integration involves combining data residing in different sources and providing users with a unified view of these data. This process becomes significant in a variety of situations‚ which include both commercial (when two similar companies need to merge their databases and scientific (combining research results from different bioinformatics repositories‚ for example) domains. Data integration appears with increasing frequency as the volume and the need to share existing data explodes
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