Search Documents

Search Again

Search Again

Sort by

  • CIM
    Methodology for developing a stakeholder-based external affairs strategy

    By K. L. Azinger

    Successful relationships between mining companies and local stakeholders are now an essential part of the social contract of “doing business” (Prescott, 1995). The methodology presented in this paper

    Jan 1, 1998

  • IOM3
    A glimpse of the future

    By P Cochrane

    Our ability to generate information and transport it about the planet on super highways of optical fibre is about to change the way in which we communicate, work and live. There is not a single aspect

    Jan 7, 1996

  • SME
    Analysis of Mining Lost Time Incident Duration Influencing Factors Through Machine Learning "Mining, Metallurgy & Exploration (2021)"

    By Muhammet Mustafa Kahraman

    Despite technological advancements and organizational adjustments, lost time accidents are major issues in occupational safety. However, there is very limited work that focuses on variables influencin

    Feb 3, 2021

  • AIME
    Annual Report of the Woman's Auxiliary

    ANNUAL meeting of the Woman's Auxiliary of the American Institute of Mining and Metal-lurgical Engineers convened on Tuesday morn-ing, Feb. 20, the president, Mrs. H. W. Hardinge, presiding. Pres

    Jan 4, 1923

  • SME
    A New Perspective of Wet Kata Cooling Power as a Predictor for Thermal Stress in Underground Mines - Mining, Metallurgy & Exploration (2021)

    By BHAMIDIPATI S. SASTRY, ANMAYA NAIK, ASIF AHMAD, Srivatsan Jayaraman Sridharan, ADITYA PANDEY

    Wet kata cooling power (WKCP) as measured by a kata thermometer is a well-known heat stress index used in the mining industry. Although, over the years, several researchers proposed different heat ind

    Sep 2, 2021

  • AIME
    Boston and Keweenaw

    By J. Robert Van Peli

    IT was a strange but highly fruitful marriage-that union of hardy explorers, seeking the rich treasures of copper in the Lake Superior wilderness, with Boston's aristocracy of brains, capital, an

    Jan 1, 1948

  • CIM
    Framework for optimizing components in an oilwell cement slurry design

    By D. Getzlaf

    "Oilfield cementing has been utilized in the industry since the turn of the century. Originally, wells were shallow and criteria for well integrity were somewhat limited. Since that time, wells have s

    Jan 1, 2004

  • NIOSH
    Effects of Bisenzylisoquinoline Alkoloids on AlveolarMacrophages: Correlation Between Binding Affinity, Inhibitory Potency, and Antifibrotic Potential

    By Diane Schwegler-Berry, Vincent Castranova, Chang-geng Moe, Jane Y. C. Ma, Mark D. Moore, Joseph K. H. Ma, Carl J. Malanga, Ji-Hee Kane

    "Effects of Bisbenzylisoquinoline Alkaloids on Alveolar Macrophages: Correlation between Binding Affinity. Inhibitory Potency and Antifibrotic Potential. CASTRANOVA, V., KANG, J-H., MA. J. K. H., Mo,

    Mar 1, 1992

  • AUSIMM
    Prediction of Acid Gas Generation in the Petroleum Industry

    By M R. Asef

    Although generation of environmentally harmful hydrogen sulfide is considered to be related to sour gas fields, sweet gas reservoirs and waste fluids, travertine springs and geothermal fields may also

    Sep 26, 2011

  • SME
    Effects of FAME Biodiesel and HVORD on Emissions from an Older-Technology Diesel Engine

    By S. E. Vanderslice, J. A. Hummer

    "The results of laboratory evaluations were used to compare the potential of two alternative, biomass-derived fuels as a control strategy to reduce the exposure of underground miners to aerosols and g

    Jan 12, 2017

  • NIOSH
    Introduction of Luminol-dependent Chemiluminescence as a Method to Study Silica Inflammation in the Tissue and Phagocytic Cells of Rat Lung

    By M. J. Reasor, M. DiMatteo, J. M. Antonini, K. Van Dyke, Z. Ye

    "The inhalation of silica has been shown to produce a dramatic inflammatory and toxic response within the lungs of humans and laboratory animals. A variety of cellular and biochemical parameters are u

    Dec 1, 1995

  • AUSIMM
    "Geometallurgy – Driving Innovation in the Mining Value Chain"

    "Geometallurgy is a discipline that seeks to improve the sustainability of the extraction of metals and minerals by promoting the smarter use of non-renewable resources, better energy efficiency and g

    Jun 15, 2016

  • AIME
    Montreal Meeting

    THE first session of the Institute was held on Tuesday evening, September 16th, in the William Molson Hall, of McGill University, Dr. T. Sterry Hunt, Chairman of the Local Committee of Arrangements, i

    Jan 1, 1880

  • AIME
  • AUSIMM
    Orebody Delineation and Reserve Estimation ù Seeking Common Sense from Extensive Investment in Fact

    The organisers of this function have suggested that this presentation should accomplish the following broad goals:set the technical tone for the conference to follow, implying some discussion of the æ

    Jan 1, 2000

  • SAIMM
    Presidential Address: Collaboration and Diversity in STEM

    By Z. Botha

    Sheryl Sandberg, the COO of Facebook, published a book titled 'Lean In', where she invites women to sit at the table. In summary, to 'sit at the table' entails not only embracing opportunity, but to a

    Sep 1, 2022

  • SME
    The Place Of Minerals In Economic Development

    By F. Taylor Ostrander

    Some countries are infinitely poorer than others in mineral resources-despite the perfect equality of their political leaders ambitions. Compare the mineral poverty of Kenya and Tanganyika with the ri

    Jan 1, 1963

  • IOM3
    Mining design software - a critical review

    By G. B. Hooper, G. A. Ferguson

    The technical capabilities and user-friendliness of the major computer-aided mining design software systems are reviewed. Recent experiences with three systems are outlined to indicate the practical

    Jan 12, 1992

  • SME
    Prediction of Froth Flotation Performance Using Convolutional Neural Networks - Mining, Metallurgy & Exploration (2023)

    By A. Jahedsaravani, M. Massinaei, M. Zarie

    Deep learning is a subset of machine learning that uses artificial neural networks for extracting high-level features from image data. In the present study, a soft sensor is proposed for the predictio

    May 5, 2023

  • AUSIMM
    Critical Assessment of Machine Learning Algorithms as Estimation Techniques for a Polymetallic Ore Deposit

    By D Misra, R Ganguli, S Bandopadhyay

    The objective of this paper is to assess the accuracy and applicability of recent state-of-art methods such as the machine learning algorithms (MLA) for mineral resource estimation. Conventional metho

    Sep 26, 2011