854 resultados para montana


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In the treatment of copper ores by hydro-electro-metallurgical methods, not only is copper deposited, but other metals are also dissolved. In practice it has been found* that iron, under certain conditions, causes the copper to deposit on the cathode as a nonadherent precipitate and also that the iron in solution causes a great decrease in current efficiency, es­pecially when the electrolysis is conducted by operating with a higher current density at the cathode than at the anode. The present investigation deals with the effects of the two valences of iron on the current efficiency and endeavors to determine whether or not there is a ratio of the two at which point the efficiency becomes zero or approaches it.

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A supply of so-called "copper pitch" ore was received by the Montana Bureau of Mines and Geology in response to a request by them from a resident of Kalispell, who had previously sent a specimen to the Bureau for a mineralogical analysis. Since this material was little known and had apparently received but little study under a reflec­ting microscope, it was thought that such a study might throw some light on the mineralogical and chemical composition of the material.

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Many investigations have shown that the electrical resistance of soft annealed metals is usually smaller than that of metals in their hard, cold worked state. By annealing cold-worked metals, the electrical resistance decreases to a minimum and then increases upon continued annealing at higher temperatures. The work performed in this investigation upon silver, aluminum, copper, nickel, and soft steel corroborates this idea.

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There are many elements which are detrimental to the current efficiency in the electrolysis of zinc sulphate solution. Fortunately the majority of these elements are easily removed in the purification process and cause no further trouble. The elements that are likely to cause trouble in ordinary plant operations are antimony, arsenic, cobalt, nickel, manganese and germanium. The following tests were made to determine the mutual effect on the current efficiency when several of the impurities were present in the electrolyte.

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Electrolytic iron as deposited is brittle and therefore must be annealed. After annealing, the material is ductile and closely resembles copper in its behavior under work. It is claimed to be more resistant to corrosion than dead soft iron. It also has the advantage of corroding uniformly ( or­dinary soft iron develops pin holes which shorten its life considerably). The extreme purity of electrolytic iron namely makes it very suitable as a base metal for alloys. Its ductility opens up a field for use in the manufacture of cold rolled strip, seamless tubes, and wire.

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Work on a real life pavement engineering problem. This afternoon you will be working with Dr. Yan on the question: How do you make the most cost effective choice between two types of pavement contracting methods?

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To start the day, you will meet up with your professors Dr. Battle and Dr. Risser in the Student Union Building ("the SUB") on the main floor outside of the Copper Lounge.

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This morning Dr. Battle will review basic concepts of linear functions and piecewise functions and how they can be used as models for real-world applications. She will also introduce techniques for using a spreadsheet to analyze data.

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This morning Dr. Battle will introduce descriptive statistics and linear regression and how to apply these concepts in mathematical modeling. You will also learn how to use a spreadsheet to help with statistical analysis and to create graphs.

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This afternoon you will be working on descriptive statistics, such as what is the total number of discharges in the state of Montana for a given Diagnosis Related Group (DRG), what is the average payment of a given DRG, and what is the range of payments of a given DRG. We will also formulate and solve a statistical question such as is there a relationship between the size of a hospital and the average payment of a given DRG.

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This morning Dr. Risser will introduce you to the basic ideas of social network analysis. You will learn some history behind the study of social networks. Dr. Risser will introduce you to mathematical measures of social networks including centrality measures and measures of spread and cohesion. You will also learn how to use a computer program to analyze social network data

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This afternoon you will be working on the question: How do you tell if a Facebook friend is really a friend?

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During this time Dr. Risser and Dr. Battle will get you set up for the poster session.

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This morning Ms. Hayden will introduce you to a computer program designed to help you create a poster for presentation tomorrow.

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The campus community and your invited guests will have an hour and a half to tour your poster session. They will be able to hear you describe the problems you worked on this week and ask you questions about your work.