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Statement Of Principles (642b76fe-53e4-4371-8daf-b46af62c4a92)By L. W. Swent
Dr. Emrick, honored guests, distinguished speakers, ladies and gentlemen, I am Langan Swent, Vice President for Environmental Affairs and Occupational Safety and Health, of Homestake Mining Company. T
Jan 1, 1981
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Statement Of Principles (e5860c82-4819-44f8-a64a-779d2f4e9550)By Aurel Goodwin
MSHA is the regulatory Agency which administers the Federal Mine Safety and Health Act. Although MSHA's principles largely derive from this Act, they do not exculsively derive from it. One might
Jan 1, 1981
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Statement Of Principles National Institute For Occupational Safety And HealthBy Roy M. Fleming
During the decade of the 1970's, a new emphasis was placed on assuring a safe and healthful workplace for all American workers. Much of the basis for this national effort was federal legislation:
Jan 1, 1981
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Statex An Off Highway Vehicle Electric Drive System For The Present And FutureBy Joseph W. Johnson
General Electric introduced electric drive systems on 85 ton Off-Highway mining trucks in the early sixties. Due to favorable economics, trucks have increased in size to handle larger payloads. Series
Jan 1, 1983
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Static and Dynamic Subsidence Prediction in the Northern Appalachian Based on the Use of a Variable Subsidence CoefficientBy Vladimir Adamek
Due to the variability of subsidence characteristics across the U.S. coalfields, it was concluded that it would be practically impossible to develop a universal predictive model for mining-induced sub
Jan 1, 1986
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Static And Dynamic Yield Stress Of Water-Bentonite SuspensionsBy C. Tsamantaki
Water-bentonite suspensions exhibit a yield stress which is defined as the minimum applied stress for flow. Considerable debate exists about the yield stress being a material property, hence different
Jan 1, 2006
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Statistical Analysis Of Blasthole Sampling Data From The Paradise Peak Mine, NevadaBy W. D. Delahaut
Sampling tests performed at the Paradise Peak Mine compared various blasthole samplers and reverse circulation sampling methods. Statistical analysis of the data indicates that be-low-the-deck bag sam
Jan 1, 1991
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Statistical Analysis Of Diesel Particulate Matter And Silica For Underground Stone Mines - SME Annual Meeting 2022By E. Rubenstein, V. Gangrade, K. V. Raj, M. L. Harris
Underground stone mine ventilation is characterized by large openings with low resistances. These mines primarily face three challenges: moving adequate volumes of air, controlling and directing the a
Mar 2, 2022
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Statistical Analysis Of Results On Miners’ ExposureBy M. Tirmarche, J. Brenot, J. W. Piechowski
INTRODUCTION Statistical analysis of results obtained by workers survey is very often limited to the determination of the collective dose and mean annual values. This information is not sufficent b
Jan 1, 1981
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Statistical Analysis Of Sand And Gravel Aggregate Deposit's Of Late Pleistocene Lake Bonneville, UtahBy James D. Bliss
Sedimentary deposits of pluvial Lake Bonneville are an important source of sand and gravel suitable for aggregate and construction in Utah. Data on Lake Bonneville basin sand and gravel deposit thickn
Jan 1, 2001
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Statistical Analysis Of The Hydrochemistry Of Ground Waters In Columbia River BasaltsBy R. K. Steinhorst
Multivariate cluster analysis, MANOVA, canonical analysis, and discriminant analysis of hydrochemistry data were used to investigate the directions of ground water movement in basalts in the vicinity
Jan 1, 1990
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Statistical Approach For The Recovery Of Silver From Manganiferous Silver OresBy C. Flores, L. G. Twidwell, T. S. Jordan
It is well known that manguniferous silver ores containing manganese intimate) associated with silver are not amenable to conventional extraction methods. The segregation process has been applied prim
Jan 1, 1996
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Statistical Approach To Using Metallurgical Data To Improve The Accuracy And Information Obtained From Financial AnalysesBy Ross W. Smith, D. L. Taylor, K. A. Altman
Traditional sensitivity analysis of metallurgical data has the potential to overestimate the value of mining projects. Such analyses provide no information about the probability of the results. Simula
Jan 1, 2003
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Statistical Assessment Of Scale Effect On Rock Properties Using The Theory Of ExtremesBy K. Kim, T. M. Yegulalp
A new explanation of the scale dependency of rock strength is presented based on the theory of extremes. A brief review of past work on specimen size and strength relationship is followed by an introd
Jan 1, 1994
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Statistical Assessment Of Scale Effect On Rock Properties Using The Theory Of Extremes (a88bd68b-1039-4f02-9939-cf8b1021a976)By T. M. Yegulalp
A new explanation of the scale dependency of the strength properties of rock is presented based on the theory of extremes. A review of past work on specimen size strength relationship is followed by a
Jan 1, 1992
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Statistical Control For The Production Of Assay Laboratory StandardsBy C. Widham
Introduction It is generally accepted as dogma that sampling contributes most of the error in gold fire assays. Differences in assay results on pulps from the same sample interval are frequently rega
Jan 1, 1997
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Statistical Control For The Production Of Assay Lasora Tory StandardsBy S. Davis
It has been accepted almost as dogma that sampling contributes most of the error to fluctuations in gold fire assays. Differences in assay results on pulp material from the same sample interval are fr
Jan 1, 1995
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Statistical Control Of An Exploration Program: A Case History ? IntroductionBy John A. Wolfe
Applications of mathematical statistics to the field of exploration are still relatively new. There are two primary reasons why little has been published in this field. First, if one discovers an effe
Jan 1, 1962
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Statistical correlation of off-highway tire failures with openpit haulage routesBy A. L. Boerner
Off-highway tire costs represent a significant portion of the total mining costs in openpit, truck-shovel operations. To extend the lives of tires, the site-specific factors influencing tire life shou
Jan 1, 2002
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Statistical Detection of Gross Errors in Material Balance CalculationsBy Daniel Hodouin, Antoine Berton
Mineral processing plants are monitored and controlled using measurements that are usually processed by on-line material balance calculation techniques. However, gross errors, due to sensor biases or
Jan 1, 2000