Concept of Activity. Concept of Activity. Thermodynamic Equilibrium Constants [ C] [ D] [ A] [ B]
|
|
- Alexandra Goodman
- 7 years ago
- Views:
Transcription
1 onept of Atvty Equlbrum onstant s a ermodynam property of an equlbrum system. For a hemal reaton at equlbrum; onept of Atvty Thermodynam Equlbrum onstants aa + bb = + dd d [] [D] [A] a [B] b onentraton equlbrum onstant. d [ ] [ D] onentraton equlbrum onstant a b [ A] [ B] Expeted exstene of aqueous ons (deal); Strtly, and n general, e onentraton 'equlbrum onstant' s not a 'onstant' and depends on e envronment n whh e equlbrum exsts. The true equlbrum onstant s e ermodynam equlbrum onstant. on on d D a b A B = for dlute solu tons ( deal solutons) onstant for a gven T Hydraton shell Prmary hydraton shell s made of water moleules. Expeted exstene of aqueous ons (deal); + hyrated shell hyrated shell alpha=effetve dameter The hydraton of ons makes e effetve sze of e on dfferent (larger) n omparson to e bare on sze. aton shells larger an e anon shells.
2 Realst general stuaton: The extent of ontamnaton depends on e onentraton of all ons (expressed as e on streng, I or ) present n e soluton. I z For low I (=) e ontamnaton s neglgble. The hydrated shell gets ontamnated w oppostely harged ons at move n and out of e shell, makng e hydraton shell fratonally harged. For dlute (on) solutons where e ons are postoned at relatvely large nter-on dstanes, ons are essentallyhydrated w no ontamnaton. If e on streng of e soluton s sgnfant; Effet of soluton on onentraton on e equlbrum poston. on Fratonally (oppostely) harged Example: solublty (equlbrum) of slver hlorde. Ex. Agl(s) Ag + (aq) + l - (aq) Agl (s) dssoates n to e aqueous soluton and aquated ons reombne, equlbra are dynam. Agl(s) beng arngly soluble n water, e reetve on onentratons are very low, but not zero. Hydraton shell ontamnated by oppostely harged on, overall. At saturaton pont (equlbrum poston) n pure water, [ Ag ][ l ] Impled: ons are free exept for hydraton. e.g. [Ag + ] = onentraton of free ons, hydrated only. [ Ag ][ l ] deal system The expermenter, however, does not know, off hand wheer all ons dssolved has hydraton shells are lean.e. wheer only water exst n e hydraton shell, or not (ontamnated). [ ] usually means e free + ontamnated on onentraton. Analytal onentraton, e atual onentraton of e ees - ontamnated and free ons - n e system at equlbrum. In realty, e effetve free on onentraton s only a fraton of e analytal onentraton.
3 In soluton: Low [on] Hgh [on] Hydraton shell not shown nly solutons w very low onentratons n soluton would lead to a stuaton; where hydraton shells are made of water moleules only. IDEAL SLUTIN. In most stuatons a orreton must be made to aount for e non-dealty,.e. ontamnaton of hydraton shells of ons n soluton. Very dlute solutons an be onsdered as deal solutons for all pratal purposes, however. Sgnfantly on solutons makes e effetve free on onentraton of an on,, less an e analytal onentraton [] n e system. The free on onentraton avalable for e equlbrum system should be, [] = + [Ag + ] - [l - ] effetve on. of aquated 'free' ons n equlbrum w Agl(s), dynamally. a [] Atvty atvty oeffent for dlute solutons a [] Atvty oeffent s a measure e effet of dverse ons n soluton on e avalablty of ees to engage n hemal equlbra. d [ ] [ D] = a b [ A] [ B] onentraton equlbrum onstant In hgh on onentraton systems s effet s sgnfant. a d D b A B onstant for a gven T Thermodynam equlbrum onstant for dlute (deal) solutons; = 3
4 In solutons w larger on. of ons (all types of ons), e hydraton shells gets 'ontamnated' by oppostely harged ons. Thus eah on (of nterest) loses ts effetve harge. Ths redues e ablty of on omponents to reombne,.e. more ons (predted from ), an o-exst n soluton. Thus effetve on. of ees n equlbrum n soluton wll be hgher n hghly on solutons an n non-on solutons. Agl (s) = Ag + (aq) + l - (aq) Now, = a a. Ag l substtutng for on. of free ons = [ Ag ] [l ] = [ Ag ][l ].e. = n on. terms atvty fator for dlute solutons fator = = n on. terms rgn of s non deal behavor s due to e hange n e atmohere of e hydrated on. Non-dealty s sgnfant at hgh on onentratons. As e total on on. nreases; deal non deal and ve versa. s a measure of devaton from dealty of real systems. 0 for non deal (not =0) for deal 0<<, n general. As e on on. rses; 0. = f(on on.) on on. measured by on streng. Ion streng of solutons, : nludes all on types n soluton,. s a measure of e total on onentraton n e soluton. = f(); z Debye-Hukel lmtng law on ees ( 0.0M) 0.5z log ( ) / 305 atvty oef. of ees z harge of (ntegers) at 5 effetve dameter of ees (pm) For ons of same harge and effetve sze, n e same on envronment (soluton), s are e same. If harge = 0, log () = 0, = (true for most part beause suh ees (moleules) arry a mnmal on atmoheres around t). 4
5 0.5z. log ; 0,, log 0.33 =, 0, log 0 <. log - (see fg.) dereases w z z 3. log (see table) nreases w 5
6 Mean atvty oeffent of an eletrolyte A m B n ; For eletrolyte AB; mean atvty oef., ( ) s defned as; mn m n ( mn) m n m n AmBn The Debye-Hukel equaton atually breaks down for large values. Indvdual atvty oeffents annot be measured by experment but an be alulated. Mean atvty oeffent of an eletrolyte an be measured expermentally. For eletrolyte AB m n; mean atvty oef., ( A ) mbn s defned as; m n m n m n mn ( ) Maematally solublty of Agl(s) n on solutons; ermodynam ; = a + a - Ag l = + [ Ag ] -[l ] = [ Ag ][l ] =on. fator = = ; low solutons (onentraton equlbrum onstant) must be rased so at ermodynam (ermodynam equlbrum onstant) attans e true value..e. analytal (atual) onentratons of e ees are hgher an at would have been predted by n hghly on solutons. Equlbrum poston for solublty shfts forward (for ). For solublty equlbra: > n hghly on solutons. In ase of on ompounds an nrease of solublty n hgh solutons s observed. Thermodynam equlbrum onstant s e fundamental property defnng e equlbrum onstant!!. Fe SN Fe( SN) Fe( SN ) Fe SN Fe SN [ Fe( SN) ] [ Fe ][ SN ] [ Fe( SN) ] [ ] [ ] Fe( SN ) Fe SN H H H H = + H H I 6
7 Thermodynam onentraton n hghly on solutons. At very low, and are same.?! H H H H = + H H In general; [ ] [ D] True [ A] [ B] onstant d D ' a b d d D a b a b A B A B Debye-Hukel lmtng equaton an be used to alulate e for eah on ees, for < 0. M. ( = for neutral moleules) Ion streng dependent. use [ ] for all ees for ver low, n plae of atvty. 7
Series Solutions of ODEs 2 the Frobenius method. The basic idea of the Frobenius method is to look for solutions of the form 3
Royal Holloway Unversty of London Department of Physs Seres Solutons of ODEs the Frobenus method Introduton to the Methodology The smple seres expanson method works for dfferental equatons whose solutons
More informationFigure 1. Inventory Level vs. Time - EOQ Problem
IEOR 54 Sprng, 009 rof Leahman otes on Eonom Lot Shedulng and Eonom Rotaton Cyles he Eonom Order Quantty (EOQ) Consder an nventory tem n solaton wth demand rate, holdng ost h per unt per unt tme, and replenshment
More informationAnswer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy
4.02 Quz Solutons Fall 2004 Multple-Choce Questons (30/00 ponts) Please, crcle the correct answer for each of the followng 0 multple-choce questons. For each queston, only one of the answers s correct.
More information24. Impact of Piracy on Innovation at Software Firms and Implications for Piracy Policy
4. mpat of Pray on nnovaton at Software Frms and mplatons for Pray Poly Jeevan Jasngh Department of nformaton & Systems Management, HKUST Clear Water Bay, Kowloon Hong Kong jeevan@ust.h Abstrat A Busness
More informationChapter 5 Single Phase Systems
Chapter 5 Single Phase Systems Chemial engineering alulations rely heavily on the availability of physial properties of materials. There are three ommon methods used to find these properties. These inlude
More informationOptimal Adaptive Voice Smoother with Lagrangian Multiplier Method for VoIP Service
Optmal Adaptve Voe Smoother wth Lagrangan Multpler Method for VoIP Serve Shyh-Fang HUANG, Er Hsao-uang WU and Pao-Ch CHANG Dept of Eletral Engneerng, Computer Sene and Informaton Engneerng and Communaton
More informationModern Problem Solving Techniques in Engineering with POLYMATH, Excel and MATLAB. Introduction
Modern Problem Solvng Tehnques n Engneerng wth POLYMATH, Exel and MATLAB. Introduton Engneers are fundamentally problem solvers, seekng to aheve some objetve or desgn among tehnal, soal eonom, regulatory
More informationHEAT EXCHANGERS. Associate Professor. IIT Delhi E-mail: prabal@mech.iitd.ac.in. Mech/IITD
HEAT EXHANGES Prabal Talukdar Assoate Professor Departent of Meanal Engneerng IIT Del E-al: prabal@etdan Heat Exangers Heat exangers are deves tat faltate te exange of eat between two fluds tat are at
More informationCoordinate System for 3-D Model Used in Robotic End-Effector
AU JT 8(: 8 (Apr Codnate Sytem f D Model Ued n Robot EndEffer ulfqar Al Soomro Shool of Advaned Stude, Aan Inttute of Tehnology Pathum Than, Thaland Abtrat Th paper reve the onept of odnate ytem on new
More informationMulti-settlement Systems for Electricity Markets: Zonal Aggregation under Network Uncertainty and Market Power 1
Proeedngs of the 35th Hawa Internatonal Conferene on System Senes - 2002 Mult-settlement Systems for Eletrty Markets: Zonal Aggregaton under Network Unertanty and Market Power 1 Ransh Kamat and Shmuel
More informationChapter 6. Demand Relationships Among Goods
Chapter 6 Demand Relatonshps Among Goods Up to ths pont, we have held the pre of other goods onstant. Now we onsder how hanges n p affet n a two-good world. I p I p I p I p p p ( ) ( ) then I p then (
More informationRevenue Management Games
Revenue Management Games Sergue Netessne and Robert A. Shumsky 2 Unversty of Rohester W. E. Smon Graduate Shool of Busness Admnstraton Rohester, NY 4627 Otober, 2000 netessnse@smon.rohester.edu 2 shumsky@smon.rohester.edu
More informationWhen can bundling help adoption of network technologies or services?
When an bundlng help adopton of network tehnologes or serves? Steven Weber Dept. of ECE, Drexel U. sweber@oe.drexel.edu Roh Guérn Dept. of CSE, WUSTL guern@wustl.edu Jaudele C. de Olvera Dept. of ECE,
More informationOptimal Health Insurance for Multiple Goods and Time Periods
04 R.P. Ells, S. Jang, and W.G. Mannng Optmal Health Insurane for Multple Goods and Tme Perods Randall P. Ells a,, Sheny Jang b, Wllard G. Mannng a Department of Eonoms, Boston Unversty, 70 Bay State Road,
More informationPeer-to-peer systems have attracted considerable attention
Reputaton Aggregaton n Peer-to-Peer etwork Usng Dfferental Gossp Algorthm Ruhr Gupta, Yatndra ath Sngh, Senor Member, IEEE, arxv:20.430v4 [s.i] 28 Jan 204 Abstrat Reputaton aggregaton n peer to peer networks
More informationUse of Multi-attribute Utility Functions in Evaluating Security Systems
LLNL-TR-405048 Use of Mult-attrbute Utlty Funtons n Evaluatng Seurty Systems C. Meyers, A. Lamont, A. Sherman June 30, 2008 Ths doument was prepared as an aount of work sponsored by an ageny of the Unted
More informationData Analysis with Fuzzy Measure on Intuitionistic Fuzzy Sets
Proeedngs of the Internatonal MultConferene of Engneers and Computer Sentsts 2016 Vol II Marh 16-18 2016 Hong Kong Data nalyss wth Fuzzy Measure on Intutonst Fuzzy Sets Sanghyuk Lee * Ka Lok Man Eng Gee
More informationA STUDY OF SOFTBALL PLAYER SWING SPEED *
A STUDY OF SOFTBALL PLAYER SWING SPEED * LLOYD SMITH Shool of Mehanal and Materals Engneerng Washngton State Unversty E-mal: lvsmth@wsu.edu JEFF BROKER Department of Bology Unversty of Colorado, Colorado
More informationCartelisation of Oligopoly
Internatonal Conferene on Apple Eonoms ICOAE 29 551 Cartelsaton of Olgopoly Jaek Prokop 224 Abstrat Ths paper onsers possbltes of artelsaton n the olgopolst nustres. We stngush between two mportant ssues.
More informationEnergy-Efficient Design in Wireless OFDMA
Ths full text paper was peer revewed at the dreton of IEEE Communatons Soety subjet matter experts for publaton n the ICC 2008 proeedngs. Energy-Effent Desgn n Wreless OFDMA Guowang Mao, Nageen Hmayat,
More informationTECHNICAL NOTES 3. Hydraulic Classifiers
TECHNICAL NOTES 3 Hydraulc Classfers 3.1 Classfcaton Based on Dfferental Settlng - The Hydrocyclone 3.1.1 General prncples of the operaton of the hydrocyclone The prncple of operaton of the hydrocyclone
More informationn + d + q = 24 and.05n +.1d +.25q = 2 { n + d + q = 24 (3) n + 2d + 5q = 40 (2)
MATH 16T Exam 1 : Part I (In-Class) Solutons 1. (0 pts) A pggy bank contans 4 cons, all of whch are nckels (5 ), dmes (10 ) or quarters (5 ). The pggy bank also contans a con of each denomnaton. The total
More informationStaffing Call Centers with Uncertain Arrival Rates and Co-sourcing
Vol., No., xxxx xxxx 215,. 1 17 ISSN 159-1478 EISSN 1937-5956 15 1 OI 1.1111/oms.12332 214 Produton and Oeratons Management Soety Staffng Call Centers wth nertan Arrval Rates and Co-sourng Yasßar Levent
More informationAccounting for exogenous influences in a benevolent performance evaluation of teachers
Aountng for exogenous nfluenes n a benevolent perforane evaluaton of teahers by Krstof DE WITTE Nky ROGGE Publ Eonos Center for Eono Studes Dsussons Paper Seres (DPS) 09.13 http://www.eon.kuleuven.be/es/dsussonpapers/default.ht
More informationEconomy-based Content Replication for Peering Content Delivery Networks
Eonomy-based Content Replaton for Peerng Content Delvery Networs Al-Muaddm Khan Pathan 1 and Raumar Buyya Grd Computng and Dstrbuted Systems (GRIDS) Laboratory Department of Computer Sene and Software
More informationIndustry-Specific Exchange Rates for the United States
Lnda S. Goldberg Industry-Spef Exhange Rates for the Unted States The effet of exhange rate movements on U.S. produers and U.S. eonom atvty has drawn renewed nterest lately followng the large delnes n
More informationA GRID BASED VIRTUAL REACTOR: PARALLEL PERFORMANCE AND ADAPTIVE LOAD BALANCING
A GRID BASED VIRTUAL REACTOR: PARALLEL PERFORMANCE AND ADAPTIVE LOAD BALANCING Vladmr V. Korkhov 1,2, Valera V. Krzhzhanovskaya 1,2 and P.M.A. Sloot 1 {vkorkhov valera sloot}@sene.uva.nl 1 Unversty of
More informationFinite Math Chapter 10: Study Guide and Solution to Problems
Fnte Math Chapter 10: Study Gude and Soluton to Problems Basc Formulas and Concepts 10.1 Interest Basc Concepts Interest A fee a bank pays you for money you depost nto a savngs account. Prncpal P The amount
More informationLognormal random eld approxmatons to LIBOR market models O. Kurbanmuradov K. Sabelfeld y J. Shoenmakers z Mathemats Subet Classaton: 60H10,65C05,90A09 Keywords: LIBOR nterest rate models, random eld smulaton,
More informationForschung zur Entwicklungsökonomie und -politik Research in Development Economics and Policy
Dsusson Paper No. 01/2004 Comparatve advantage of Vetnam s re setor under dfferent lberalsaton senaros A Poly Analyss Matrx (PAM) study Nguyen Manh Ha and Franz Hedhues Department of Agrultural Development
More informationVOLTAGE CONTROL WITH SHUNT CAPACITANCE ON RADIAL DISTRIBUTION LINE WITH HIGH R/X FACTOR. A Thesis by. Hong-Tuan Nguyen Vu
VOLTAGE CONTROL WITH SHUNT CAPACITANCE ON RADIAL DISTRIBUTION LINE WITH HIGH R/X FACTOR A Thesis by Hong-Tuan Nguyen Vu Eletrial Engineer, Polytehni University of HCMC, 1993 Submitted to the College of
More informationSuggested Answers, Problem Set 5 Health Economics
Suggested Answers, Problem Set 5 Health Eonomis Bill Evans Spring 2013 1. The graph is at the end of the handout. Fluoridated water strengthens teeth and redues inidene of avities. As a result, at all
More informationTopical Workshop for PhD students Adsorption and Diffusion in MOFs Institut für Nichtklassische Chemie, Germany, www.uni-leipzig.
Gas Separaton and Purfcaton Measurement of Breakthrough Curves Topcal Workshop for PhD students Adsorpton and Dffuson n MOFs Adsorpton on Surfaces / Separaton effects Useful features Thermodynamc effect
More informationMulti-class kernel logistic regression: a fixed-size implementation
Mult-lass kernel logst regresson: a fxed-sze mplementaton Peter Karsmakers,2, Krstaan Pelkmans 2, Johan AK Suykens 2 Abstrat Ths researh studes a pratal teratve algorthm for mult-lass kernel logst regresson
More informationLiquid-Vapor Equilibria in Binary Systems 1
Lqud-Vapor Equlbra n Bnary Systems 1 Purpose The purpose of ths experment s to study a bnary lqud-vapor equlbrum of chloroform and acetone. Measurements of lqud and vapor compostons wll be made by refractometry.
More informationSIMPLE LINEAR CORRELATION
SIMPLE LINEAR CORRELATION Smple lnear correlaton s a measure of the degree to whch two varables vary together, or a measure of the ntensty of the assocaton between two varables. Correlaton often s abused.
More informationNorth-South Trade-Related Technology Diffusion: Virtuous Growth Cycles in Latin America
DISCUSSION PAPER SERIES IZA DP No. 4943 North-South Trade-Related Tehnology Dffuson: Vrtuous Growth Cyles n Latn Amera Maure Shff Yanlng Wang May 2010 Forshungsnsttut zur Zukunft der Arbet Insttute for
More informationLeonardo Raffo López **
77 The sugar market n Colomba an ts nteratons wth the usa market Leonaro Raffo López Resumen En este artíulo se propone un moelo e equlbro paral para entener el omportamento el merao el azúar en Colomba
More informationDoctor of Philosophy. Troy O. McBride
Spetrosop Reonstruted Near Infrared Tomograph Imagng for Breast Caner Dagnoss A Thess submtted to the Faulty n partal fulfllment of the requrements for the degree of Dotor of Phlosophy by Troy O. MBrde
More informationChapter. Financial Calculations
Chapter Finanial Calulations 19 19-1 Before Performing Finanial Calulations 19-2 Simple Interest Calulations 19-3 Compound Interest Calulations 19-4 Investment Appraisal 19-5 Amortization of a Loan 19-6
More informationPricing System Security in Electricity Markets. latter might lead to high prices as a result of unrealistic
1 Pro. Bulk Power Systems Dynams and Control{V, Onomh, Japan, August 2001. Prng System Seurty n Eletrty Markets Claudo A. Ca~nzares Hong Chen Wllam Rosehart UnverstyofWaterloo Unversty of Calgary Dept.
More informationIS-LM Model 1 C' dy = di
- odel Solow Assumptons - demand rrelevant n long run; assumes economy s operatng at potental GDP; concerned wth growth - Assumptons - supply s rrelevant n short run; assumes economy s operatng below potental
More informationCyber-Security Via Computing With Words
Cyber-Seurty Va Computng Wth Words John. Rkard Dstrbuted Infnty, In. 4637 Shoshone Drve Larkspur, CO 808 Emal: trkard@dstrbutednfnty.om ABSRAC Cyber-seurty systems must deal wth a hgh rate of observable
More informationA Novel Approach for Multiple Moving Target Localization Using Dual-Frequency Radars and Time-Frequency Distributions
A Novel Approah for Multple Movng Target Loalzaton Usng Dual-Frequeny Radars and Tme-Frequeny Dstrbutons Ymn Zhang, Moeness Amn, and Fauza Ahmad Radar Imagng Lab, Center for Advaned Communatons Vllanova
More information8.5 UNITARY AND HERMITIAN MATRICES. The conjugate transpose of a complex matrix A, denoted by A*, is given by
6 CHAPTER 8 COMPLEX VECTOR SPACES 5. Fnd the kernel of the lnear transformaton gven n Exercse 5. In Exercses 55 and 56, fnd the mage of v, for the ndcated composton, where and are gven by the followng
More informationThe Greedy Method. Introduction. 0/1 Knapsack Problem
The Greedy Method Introducton We have completed data structures. We now are gong to look at algorthm desgn methods. Often we are lookng at optmzaton problems whose performance s exponental. For an optmzaton
More informationEvaluation of Delay Performance in Valiant Load-balancing Network
Evaluaton of Delay Performane n Valant Load-balanng Network Yngd Yu a, Yaohu Jn a, Hong Cheng a, Yu Gao a, Weqang Sun a, We Guo a, Wesheng Hu a a State Key Laboratory on Fber-Ot Loal Area Networks and
More informationCONSIDER a connected network of n nodes that all wish
36 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 60, NO. 2, FEBRUARY 204 Coded Cooperatve Data Exhange n Multhop Networks Thomas A. Courtade, Member, IEEE, and Rhard D. Wesel, Senor Member, IEEE Abstrat
More informationAltruism, Foreign Aid and Humanitarian Military Intervention
Altrusm, Foregn A an Humantaran ltary Interventon by Carlos Segle Department of Eonoms Rutgers nversty Newark, N.J. 7,.S.A. ABSTRACT The state objetves for ountres n provng foregn a have been for strateg,
More informationsubstances (among other variables as well). ( ) Thus the change in volume of a mixture can be written as
Mxtures and Solutons Partal Molar Quanttes Partal molar volume he total volume of a mxture of substances s a functon of the amounts of both V V n,n substances (among other varables as well). hus the change
More informationTHE PERFORMANCE OF TRANSIT TIME FLOWMETERS IN HEATED GAS MIXTURES
Proeedings of FEDSM 98 998 ASME Fluids Engineering Division Summer Meeting June 2-25, 998 Washington DC FEDSM98-529 THE PERFORMANCE OF TRANSIT TIME FLOWMETERS IN HEATED GAS MIXTURES John D. Wright Proess
More informationCHEMICAL EQUILIBRIUM Chapter 13
Page 1 1 hemical Equilibrium EMIAL EQUILIBRIUM hapter 1 The state where the concentrations of all reactants and products remain constant with time. On the molecular level, there is frantic activity. Equilibrium
More informationJet Engine. Figure 1 Jet engine
Jet Engne Prof. Dr. Mustafa Cavcar Anadolu Unversty, School of Cvl Avaton Esksehr, urkey GROSS HRUS INAKE MOMENUM DRAG NE HRUS Fgure 1 Jet engne he thrust for a turboet engne can be derved from Newton
More informationChapter 17. How are acids different from bases? Acid Physical properties. Base. Explaining the difference in properties of acids and bases
Chapter 17 Acids and Bases How are acids different from bases? Acid Physical properties Base Physical properties Tastes sour Tastes bitter Feels slippery or slimy Chemical properties Chemical properties
More informationInterest Rate Futures
Interest Rate Futures Chapter 6 6.1 Day Count Conventons n the U.S. (Page 129) Treasury Bonds: Corporate Bonds: Money Market Instruments: Actual/Actual (n perod) 30/360 Actual/360 The day count conventon
More informationHedging Interest-Rate Risk with Duration
FIXED-INCOME SECURITIES Chapter 5 Hedgng Interest-Rate Rsk wth Duraton Outlne Prcng and Hedgng Prcng certan cash-flows Interest rate rsk Hedgng prncples Duraton-Based Hedgng Technques Defnton of duraton
More informationMarginal Returns to Education For Teachers
The Onlne Journal of New Horzons n Educaton Volume 4, Issue 3 MargnalReturnstoEducatonForTeachers RamleeIsmal,MarnahAwang ABSTRACT FacultyofManagementand Economcs UnverstPenddkanSultan Idrs ramlee@fpe.ups.edu.my
More informationViscosity of Solutions of Macromolecules
Vscosty of Solutons of Macromolecules When a lqud flows, whether through a tube or as the result of pourng from a vessel, layers of lqud slde over each other. The force f requred s drectly proportonal
More informationFaraday's Law of Induction
Introducton Faraday's Law o Inducton In ths lab, you wll study Faraday's Law o nducton usng a wand wth col whch swngs through a magnetc eld. You wll also examne converson o mechanc energy nto electrc energy
More informationElectrician'sMathand BasicElectricalFormulas
Eletriian'sMathand BasiEletrialFormulas MikeHoltEnterprises,In. 1.888.NEC.CODE www.mikeholt.om Introdution Introdution This PDF is a free resoure from Mike Holt Enterprises, In. It s Unit 1 from the Eletrial
More informationModeling and Tracking the Driving Environment with a Particle Based Occupancy Grid
Moelng an Trakng the Drvng Envronment wth a Partle Base Oupany Gr Rau Danesu, Florn Onga, an Sergu Neevsh, Membe IEEE Abstrat Moelng an trakng the rvng envronment s a omplex problem, ue to the heterogeneous
More informationCalculation of Sampling Weights
Perre Foy Statstcs Canada 4 Calculaton of Samplng Weghts 4.1 OVERVIEW The basc sample desgn used n TIMSS Populatons 1 and 2 was a two-stage stratfed cluster desgn. 1 The frst stage conssted of a sample
More informationNordea G10 Alpha Carry Index
Nordea G10 Alpha Carry Index Index Rules v1.1 Verson as of 10/10/2013 1 (6) Page 1 Index Descrpton The G10 Alpha Carry Index, the Index, follows the development of a rule based strategy whch nvests and
More informationRotation Kinematics, Moment of Inertia, and Torque
Rotaton Knematcs, Moment of Inerta, and Torque Mathematcally, rotaton of a rgd body about a fxed axs s analogous to a lnear moton n one dmenson. Although the physcal quanttes nvolved n rotaton are qute
More informationFeasibility of Using Discriminate Pricing Schemes for Energy Trading in Smart Grid
Feasblty of Usng Dscrmnate Prcng Schemes for Energy Tradng n Smart Grd Wayes Tushar, Chau Yuen, Bo Cha, Davd B. Smth, and H. Vncent Poor Sngapore Unversty of Technology and Desgn, Sngapore 138682. Emal:
More informationProblem Set 3. a) We are asked how people will react, if the interest rate i on bonds is negative.
Queston roblem Set 3 a) We are asked how people wll react, f the nterest rate on bonds s negatve. When
More informationThe safety effect of exchanging car mobility for bicycle mobility
The safety effet of exhanging ar mobility for biyle mobility Henk Stipdonk & Martine Reurings R-2010-18 The safety effet of exhanging ar mobility for biyle mobility Substituting a small number of short
More informationThe Development of Web Log Mining Based on Improve-K-Means Clustering Analysis
The Development of Web Log Mnng Based on Improve-K-Means Clusterng Analyss TngZhong Wang * College of Informaton Technology, Luoyang Normal Unversty, Luoyang, 471022, Chna wangtngzhong2@sna.cn Abstract.
More informationCausal, Explanatory Forecasting. Analysis. Regression Analysis. Simple Linear Regression. Which is Independent? Forecasting
Causal, Explanatory Forecastng Assumes cause-and-effect relatonshp between system nputs and ts output Forecastng wth Regresson Analyss Rchard S. Barr Inputs System Cause + Effect Relatonshp The job of
More informationBehavior Coordination in E-commerce Supply Chains
Assoaton for Informaton ystems AI Eletron Lbrary AIeL) WHICEB 25 Proeedngs Wuhan Internatonal Conferene on e-busness ummer 6-9-25 Behavor Coordnaton n E-ommere upply Chans Yanhong Zhang Insttute of system
More informationThe OC Curve of Attribute Acceptance Plans
The OC Curve of Attrbute Acceptance Plans The Operatng Characterstc (OC) curve descrbes the probablty of acceptng a lot as a functon of the lot s qualty. Fgure 1 shows a typcal OC Curve. 10 8 6 4 1 3 4
More informationIDENTIFICATION AND CORRECTION OF A COMMON ERROR IN GENERAL ANNUITY CALCULATIONS
IDENTIFICATION AND CORRECTION OF A COMMON ERROR IN GENERAL ANNUITY CALCULATIONS Chrs Deeley* Last revsed: September 22, 200 * Chrs Deeley s a Senor Lecturer n the School of Accountng, Charles Sturt Unversty,
More informationCournot equilibria in two-settlement electricity markets with system contingencies. Jian Yao, Shmuel S. Oren* and Ilan Adler
142 Int. J. Crtal Infrastrutures, Vol. 3, Nos. 1/2, 2007 Cournot equlbra n two-settlement eletrty markets wth system ontngenes Jan Yao, Shmuel S. Oren* and Ilan Adler Department of Industral Engneerng
More informationSupply chains with or without upstream competition?
Supply han wth or wthout uptream ompetton? Chryovalantou Mllou * Unverdad Carlo III de Madrd, Department of onom, Getafe Madrd 890, Span Feruary 00 Atrat We nvetgate a fnal good produer' nentve to engage
More informationHgh Dmensonal Data Analysis proposeations
Yuntao Qan, Xaoxu Du, and Q Wang Sem-supervsed Herarhal Clusterng Analyss for Hgh Dmensonal Data Sem-supervsed Herarhal Clusterng Analyss for Hgh Dmensonal Data Yuntao Qan, Xaoxu Du, and Q Wang College
More informationSpeech Quality Measurement Methods with Applying PLC Algorithms on Real-time Transmission Control Scheme for VoIP Service
46 JOURNAL OF MULTIMEDIA, VOL. 1, NO. 6, SEPTEMBER 2006 Seeh Qualty Measurement Methods wth Alyng PLC Algorthms on Real-tme Transmsson Control Sheme for VoIP Serve Jnsul Km Dgtal Meda Laboratory, Informaton
More informationKiel Institute for World Economics Duesternbrooker Weg 120 24105 Kiel (Germany) Kiel Working Paper No. 1120
Kel Insttute for World Economcs Duesternbrooker Weg 45 Kel (Germany) Kel Workng Paper No. Path Dependences n enture Captal Markets by Andrea Schertler July The responsblty for the contents of the workng
More informationbenefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ).
REVIEW OF RISK MANAGEMENT CONCEPTS LOSS DISTRIBUTIONS AND INSURANCE Loss and nsurance: When someone s subject to the rsk of ncurrng a fnancal loss, the loss s generally modeled usng a random varable or
More informationHEAT EXCHANGERS-2. Associate Professor. IIT Delhi E-mail: prabal@mech.iitd.ac.in. P.Talukdar/ Mech-IITD
HEA EXHANGERS-2 Prabal alukdar Assoiate Professor Department of Mehanial Engineering II Delhi E-mail: prabal@meh.iitd.a.in Multipass and rossflow he subsripts 1 and 2 represent the inlet and outlet, respetively..
More informationChapter 22 Heat Engines, Entropy, and the Second Law of Thermodynamics
apter 22 Heat Engnes, Entropy, and te Seond Law o erodynas 1. e Zerot Law o erodynas: equlbru -> te sae 2. e Frst Law o erodynas: de d + d > adabat, sobar, sovoluetr, soteral 22.1 Heat Engnes and te Seond
More information10.1 The Lorentz force law
Sott Hughes 10 Marh 2005 Massahusetts Institute of Tehnology Department of Physis 8.022 Spring 2004 Leture 10: Magneti fore; Magneti fields; Ampere s law 10.1 The Lorentz fore law Until now, we have been
More informationAn Integrated Semantically Correct 2.5D Object Oriented TIN. Andreas Koch
An Integrated Semantcally Correct 2.5D Object Orented TIN Andreas Koch Unverstät Hannover Insttut für Photogrammetre und GeoInformaton Contents Introducton Integraton of a DTM and 2D GIS data Semantcs
More informationEvolution of Internet Infrastructure in the 21 st century: The Role of Private Interconnection Agreements
Evoluton of Internet Infrastructure n the 21 st century: The Role of Prvate Interconnecton Agreements Rajv Dewan*, Marshall Fremer, and Pavan Gundepud {dewan, fremer, gundepudpa}@ssb.rochester.edu Smon
More informationInterlude: Interphase Mass Transfer
Interlude: Interphase Mass Transfer The transport of mass wthn a sngle phase depends drectly on the concentraton gradent of the transportng speces n that phase. Mass may also transport from one phase to
More informationarxiv:astro-ph/0304006v2 10 Jun 2003 Theory Group, MS 50A-5101 Lawrence Berkeley National Laboratory One Cyclotron Road Berkeley, CA 94720 USA
LBNL-52402 Marh 2003 On the Speed of Gravity and the v/ Corretions to the Shapiro Time Delay Stuart Samuel 1 arxiv:astro-ph/0304006v2 10 Jun 2003 Theory Group, MS 50A-5101 Lawrene Berkeley National Laboratory
More informationStatic Fairness Criteria in Telecommunications
Teknillinen Korkeakoulu ERIKOISTYÖ Teknillisen fysiikan koulutusohjelma 92002 Mat-208 Sovelletun matematiikan erikoistyöt Stati Fairness Criteria in Teleommuniations Vesa Timonen, e-mail: vesatimonen@hutfi
More informationFLASH POINT DETERMINATION OF BINARY MIXTURES OF ALCOHOLS, KETONES AND WATER. P.J. Martínez, E. Rus and J.M. Compaña
FLASH POINT DETERMINATION OF BINARY MIXTURES OF ALCOHOLS, KETONES AND WATER Abstract P.J. Martínez, E. Rus and J.M. Compaña Departamento de Ingenería Químca. Facultad de Cencas. Unversdad de Málaga. 29071
More informationStaff Paper. Farm Savings Accounts: Examining Income Variability, Eligibility, and Benefits. Brent Gloy, Eddy LaDue, and Charles Cuykendall
SP 2005-02 August 2005 Staff Paper Department of Appled Economcs and Management Cornell Unversty, Ithaca, New York 14853-7801 USA Farm Savngs Accounts: Examnng Income Varablty, Elgblty, and Benefts Brent
More informationThe Application of Qubit Neural Networks for Time Series Forecasting with Automatic Phase Adjustment Mechanism
The Applaton of Qubt Neural Networks for Tme Seres Foreastng wth Automat Phase Adjustment Mehansm arlos R. B. Azevedo 1 and Tago. A. E. Ferrera 1 1 entro de ênas e Tenologa Unversdade atóla de Pernambuo
More informationCredit Limit Optimization (CLO) for Credit Cards
Credt Lmt Optmzaton (CLO) for Credt Cards Vay S. Desa CSCC IX, Ednburgh September 8, 2005 Copyrght 2003, SAS Insttute Inc. All rghts reserved. SAS Propretary Agenda Background Tradtonal approaches to credt
More informationCLASSIFYING FEATURE DESCRIPTION FOR SOFTWARE DEFECT PREDICTION
Proeengs of e 20 Internatonal Conferene on Wavelet Analyss an Pattern Reognton, Guln, 0-3 July, 20 CLASSIFYING FEAURE DESCRIPION FOR SOFWARE DEFEC PREDICION LING-FENG ZHANG, ZHAO-WEI SHANG College of Computer
More informationFace Recognition in the Scrambled Domain via Salience-Aware Ensembles of Many Kernels
Fae Reognton n the Srambled Doman va Salene-Aware Ensembles of Many Kernels Jang, R., Al-Maadeed, S., Bourdane, A., Crooes, D., & Celeb, M. E. (2016). Fae Reognton n the Srambled Doman va Salene-Aware
More informationFINANCIAL MATHEMATICS. A Practical Guide for Actuaries. and other Business Professionals
FINANCIAL MATHEMATICS A Practcal Gude for Actuares and other Busness Professonals Second Edton CHRIS RUCKMAN, FSA, MAAA JOE FRANCIS, FSA, MAAA, CFA Study Notes Prepared by Kevn Shand, FSA, FCIA Assstant
More informationprotection p1ann1ng report
f1re~~ protetion p1ann1ng report BUILDING CONSTRUCTION INFORMATION FROM THE CONCRETE AND MASONRY INDUSTRIES Signifiane of Fire Ratings for Building Constrution NO. 3 OF A SERIES The use of fire-resistive
More informationPartner Choice and the Marital College Premium: Analyzing Marital Patterns Over Several Decades
Partner Choe and the Martal College Premum: Analyzng Martal Patterns Over Several Deades Perre-André Chappor Bernard Salané Yoram Wess January 31, 2015 Abstrat We onstrut a strutural model of household
More informationAbteilung für Stadt- und Regionalentwicklung Department of Urban and Regional Development
Abtelung für Stadt- und Regonalentwcklung Department of Urban and Regonal Development Gunther Maer, Alexander Kaufmann The Development of Computer Networks Frst Results from a Mcroeconomc Model SRE-Dscusson
More informationEnergies of Network Nastsemble
Supplementary materal: Assessng the relevance of node features for network structure Gnestra Bancon, 1 Paolo Pn,, 3 and Matteo Marsl 1 1 The Abdus Salam Internatonal Center for Theoretcal Physcs, Strada
More informationEconomic Models for Cloud Service Markets
Economc Models for Cloud Servce Markets Ranjan Pal and Pan Hu 2 Unversty of Southern Calforna, USA, rpal@usc.edu 2 Deutsch Telekom Laboratores, Berln, Germany, pan.hu@telekom.de Abstract. Cloud computng
More informationAn Alternative Way to Measure Private Equity Performance
An Alternatve Way to Measure Prvate Equty Performance Peter Todd Parlux Investment Technology LLC Summary Internal Rate of Return (IRR) s probably the most common way to measure the performance of prvate
More information