Full-Service Conventional Oil Change* 2M492-LIS 15 OFF Full-Service Synthetic Blend‚ Full Synthetic or Diesel Oil Change** EXP: 10/27/2014 Plus Tax . Not valid with any other same-service offers/discounts‚ including fleets. Good at participating locations. *Includes up to 5 quarts of Conventional oil‚ filter (prem. ex tra)‚ lube and maintenance check. N2MA4-LIS EXP: 10/27/2014 Plus Tax . Not valid with any other same-service offers/discounts‚ including fleets. Good at participating locations
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Snr/middle managers’ guess total project time & cost Discussing/arguing to reach a decision on best guestimates Firms seeking greater precision: Delphi Method: Group decision process of chance of certain events occurring Exp. familiar with project use insight/exp. guessing project costs/times Ratio methods Macro methods use ratios to guess time & cost E.g. contractors using no. of sq. ft. to guess cost/time to build a house Apportion method Common in standard projects but
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SOAP & DETERGENT I) Definition of Soap o Soap are sodium or potassium salts of long-chain carboxylic acids o The general formula of a soap : RCOO Na / RCOO K • R is an alkyl group which contain 12 to 18 carbon atoms. II) The history of soap manufacturing. ▪ Solvay Process - Carbon dioxide ( obtained from heating CaCo ) is passed into concentrated NaCl solution which is saturated with ammonia . NaCl +NH +H
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Performance Analysis of DF Relay Systems with Keyhole and Correlation Effects Trung Q. Duong‚ Raj S. Mahat‚ and R. Dhakal Abstract—The main purpose of this paper is to derive closed form analytical expressions of symbol error rate (SER) of Mary phase shift keying (MPSK) for MIMO decode-and forward (DF) relay system. Based on moment generating function (MGF) of output symbol to noise ratio (SNR) of overall system SER is derived. In this paper‚ we consider an nt -antenna at the source S‚ an
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Bending Beam Louisiana State University Joshua Board Table of Contents: Table of Figures: ........................................................................................................................................... 4 Purpose.......................................................................................................................................................... 5 Introduction ........................................................................................
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2014 TAHPERD SUMMER CONFERENCE REGISTRATION FORM Embassy Suites Dallas-Frisco Hotel & Convention Center | Frisco‚ Texas | July 13 – 15‚ 2014 Current Member: c Yes Name Member ID # Exp. Date c No ALL ATTENDEES MUST BE CURRENT TAHPERD MEMBERS ISD/University/Other Employer Campus/School Name Work Phone Home Phone Cell Home Mailing Address Email City/State/Zip Special Needs (dietary or physical requiring special accommodations) D SOLT OU By registering for this conference‚ I hold harmless
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th e va r iou s qu es tion s a n d p r ob lem s p r es en ted in th is ca s e s tu d y. Be s u r e to p r ovid e a d equ a te ju s tifica t ion for a n y r ecom m en d a tion s you m a k e. (NDAS ) wa s fou n d ed in 1 9 8 5 to com p ete in th e exp a n d in g m a r k et for over n igh t p a ck a ge d eliver ies . NDAS p r ovid es loca l p ick u p a n d d eliver y of th es e p a r cels a n d oth er s m a ll fr eigh t item s . Th e fou n d er s in itia lly r es tr icted th eir effor ts to th e
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Name Lab Report 1 – June 10‚ 2014 Lab # 4: Melting Point lab Partner: Instructor: The Testing of the Melting Points of p-dichlorobenzene and naphthalene Introduction: Melting point temperature is a physical property of pure substances. It is an intensive property‚ which means the amount of material tested is irrelevant. This lab will determine the melting point temperatures of two known pure substances‚ naphthalene and p-dichlorobenzene‚ using micro-sized quantities and a capillary
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Company paid cash for a capital expenditure that improved the operating efficiency of one of its assets. Which of the following reflects how this expenditure affects the company’s financial statements? Assets = Liab. + Equity Rev. − Exp. = Net Inc. Cash Flow a. + − NA NA
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SWAT model The SWAT model‚ a physically based model developed by the United States Department of Agriculture (USDA)‚ operates at a daily time step. This model has been developed on a physical‚ semi-distributive‚ scale-basin basis for continuous time and with emphasis on soil surface processes. SWAT’s sub-watersheds are divided into hydrological response units (HRUs) that have unique combinations of slope‚ land use‚ and soil type within the sub-basin and form the basic land segment for computing flow
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