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SAE AS954 - WRENCHES, HAND, TWELVE POINT, HIGH STRENGTH, THIN WALL Organization: SAE
Date: 2011-12-01
Description: This SAE Aerospace Standard (AS) covers high strength thin wall (commercial) sockets, universal sockets, box wrenches and torque adaptors which possess the strength, clearances, and internal wrenching design so configured that, when mated with 12-point fasteners conforming to the requirement of AS870, they shall transmit torque to the fastener without bearing on the outer 5% of the fastener's wrenching points.
SAE AS955 - METRIC SOCKETS, WRENCHES, HAND TWELVE POINT, HIGH STRENGTH, THIN WALL Organization: SAE
Date: 2012-07-01
Description: This SAE Aerospace Standard (AS) covers high strength thin wall (commercial) metric sockets, universal metric sockets, metric box wrenches and metric torque adaptors which possess the strength, clearances, and internal wrenching design so configured that, when mated with 12 point fasteners conforming to the requirement of ISO 4095, they shall transmit torque to the fastener without bearing on the outer 5% of the fastener's wrenching points.
ACI 229R - REPORT ON CONTROLLED LOW-STRENGTH MATERIALS Organization: ACI
Date: 2013-06-01
Description: Long-term strengths (90 to 180 days) should be targeted to be less than 100 psi (0.7 MPa) for excavation with hand tools. Lower-strength requirements are necessary to allow for future excavation of CLSM.
CRC - CONTEMPORARY STATISTICAL - CONTEMPORARY STATISTICAL MODELS FOR THE PLANT AND SOIL SCIENCES Organization: CRC
Date: 2001-11-13
Description: One could gain the impressions that • statistical methods of concern to plant and soil scientists are completely developed and understood; • the analytical tools of classical statistical analysis learned in a one- or two-semester course for non-statistics majors are sufficient to cope with data analytical problems; • recent methodological work in statistics applies to other disciplines such as human health, sociology, or economics, and has no bearing on the work of the agronomist; • there is no need to consider contemporary statistical methods and no gain in doing so.

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