Genetic Drift and Gene Flow Illustration


 Scot Kelley
 10 months ago
 Views:
Transcription
1 Gntic Drift and Gn Flow Illustration This is a mor dtaild dscription of Activity Ida 4, Chaptr 3, If Not Rac, How do W Explain Biological Diffrncs? in: How Ral is Rac? A Sourcbook on Rac, Cultur, and Biology. Carol C. Mukhopadhyay, Rosmary Hnz, and Yolanda T. Moss. 2 nd Edition AltaMira Prss. https://rowman.com/isbn/ Ths activitis wr originally dvlopd by or adaptd for us hr in 2006 by Scott Smith, thn a graduat studnt, Dpartmnt of Anthropology, Univrsity of California, Rivrsid. Scott Smith Gntic Drift Illustration Objctiv: To illustrat th ffcts of gntic drift on alll frquncis in a population. Concptual Ovrviw Gntic drift is on of th four forcs of volution and is dfind as th fluctuation of alll frquncis du to random factors. Gntic drift is strongly tid to population siz and bcoms influntial in situations whr a small sgmnt of an original population splits off or bcoms isolatd from th parnt population. Somtims this occurs whn a small group founds a nw population in gographic isolation from th parnt population. This is rfrrd to as foundr ffct. Othr tims this procss occurs whn a parnt population undrgos a dvastating population rduction rfrrd to as a population bottlnck. Ths procsss both produc a situation whr a nonrprsntativ sampl of allls is carrid ovr to th nw population. For xampl, assum a parnt population of
2 1000 individuals and at on particular locus ach individual has on of two forms of a gn, B or b. In th original parnt population 700 individuals hav th B alll and 300 hav th b alll. Th frquncy thn of th B alll is.7 and th frquncy of th b alll is.3. Say 200 individuals bcom angry with th parnt population and dcid to lav and start a nw sttlmnt far away from th original parnt population. Just by chanc 180 of ths individuals hav th B alll and only 20 hav th b alll. Th nw frquncy of th B alll in this population is thn.9 and th nw frquncy of th b alll is.1. In this cas bcaus a random sampl of allls was carrid ovr to a nw foundr population that is much smallr than th original parnt population, alll frquncis wr altrd. Sinc volution is dfind as a chang in alll frquncis ovr tim w s how gntic drift can b an important volutionary forc. Matrials (pr group of studnts) Dry bans of two diffrnt colors (thy should b as clos to th sam siz as possibl) (othr matrials such two diffrnt color marbls may b usd altrnativly) A st of masuring cups A larg bowl A caftria tray or a pan of som sort on which to sort bans (somthing with dgs is usful so th bans don t go shooting around th room) Instructions 1) Divid studnts into groups 2) Explain that th bans rprsnt two diffrnt allls (g. B and b) at on particular locus on a chromosom. You might say that ths bans rprsnt th
3 gn for tongurolling ability (which is a discrt trait). On typ of ban rprsnts th tongurollrs and th othr th nontongurollrs. You can us any discrt trait hr though. 3) Hav studnts tak a cup of ach typ of ban and mix thm in th larg bowl. Explain to th studnts that sinc th allls ar about th sam siz and th sam volum was takn of ach thr should b th sam numbr of ach alll in th bowl (if you want to tak th tim you can hav ach group count out vn numbrs of bans but ach group should us about a cup of ach typ of ban). Th bans now in ach group s bowl ar th original parnt population of allls and th frquncy of ach typ of ban (alll) is.5. 4) In ordr to simulat th ffcts of gntic drift studnts will bgin taking sampls of bans (allls) and rcording th counts and frquncis of ach typ of ban on a data tabl (s xampl tabl blow). Explain to studnts that ach sampl thy tak rprsnts a group of individuals who hav bcom angry with th original parnt population and hav dcidd to lav and sttl somwhr ls. 5) Groups will bgin by taking a ½ cup sampl (25%) of th original parnt population and counting th numbr of ach typ of ban (alll). Studnts should rcord this numbr in thir data tabl and thn calculat th frquncy of ach typ of ban by dividing th numbr of ach typ by th total numbr of bans in th ½ cup sampl. Explain that th two frquncis should add up to 1.0 (100% of th ½ cup sampl). Th frquncis of ach typ of ban (alll) in this sampl will probably b clos to that of th original parnt population of bans (1 cup of ach).
4 6) Studnts should continu by taking a ¼ cup sampl and rcording ban counts and frquncis. Following this a 50 ban sampl and thn thr 20 ban sampls should b takn. All sampls should b takn without looking at th bans so as to assur that th sampl is as random as possibl. 7) Aftr all groups hav finishd counting and rcording thir sampls ask studnts to discuss thir rsults among thmslvs and rport back to th class. Studnts should find th ban (alll) frquncis vary in gnral mor dramatically from th original parnt population frquncis whn a smallr sampl is takn. Sinc volution at th population lvl is dfind as a chang in alll frquncy ovr tim w can s how gntic drift can b a strong volutionary forc in crtain situations. Explain to studnts that in th nw foundr populations (th 20 ban sampls) alll frquncis can fluctuat mor dramatically and it is mor likly that a locus will bcom fixd. That is, it is mor likly that on particular alll will vanish from th population. In othr words, if thr ar 1000 bans and w switch 1 ban from on typ to anothr (simulating for xampl th ffcts of rcombination), it rprsnts a.1% chang in th composition of th population. Howvr, if th population is only 10 bans as opposd to 1000, switching 1 ban from on typ to anothr rprsnts a 10% chang in th composition of th population. Hr w s that a smallr population siz can account for a much mor dramatic shift in th composition of th population.
5 Activity Extnsion Gn Flow This can b xtndd to illustrat anothr volutionary forc, gn flow. Rcall that gn flow is th xchang of gns btwn populations. Unlss th two populations hav xactly th sam frquncis of a particular gn th ovrall composition of th rsulting population will b altrd. Rmmbring that th volution is dfind as a chang in gn frquncis ovr tim w s how gn flow can b an volutionary forc. W can xtnd th gntic drift activity to dmonstrat th ffcts of gn flow on gn frquncis. 1) Ask ach group of studnts to sav thir last 20 ban (alll) sampl. 2) Each group of studnts from th gntic drift activity should combin with anothr group to form a largr group. Each largr group should now hav two distinct 20 ban sampls and a rcord of th ban (alll) frquncis for thir sampl. 3) Explain that ths sampls ar gntically distinct populations. It is important to mphasiz that ths gntically distinct populations do not rprsnt diffrnt spcis and that th two distinct thortical populations can intrbrd. 4) Explain that our angry populations from th gntic drift activity which split away from th original parnt population in that activity hav all ncountrd anothr split off population and dcidd to liv togthr. In ach larg group of studnts th two 20 ban sampls rprsnt th angry populations who split off from th original parnt populations. Sinc now, for ach group of studnts, th two populations bcom ffctivly on brding population, tll studnts to combin
6 both 20 ban sampls into on bowl which maks on population of 40 bans. Studnts should count th numbr of ach typ of ban (alll) for this nw population and dtrmin th frquncis of ach. Studnts should thn compar ths nw ban (alll) frquncis with thos of th two original 20 ban populations and not how thy hav changd. 5) Ask studnts to discuss ths nw rsults among thmslvs and thn rport back to th class. Exampl of Data Tabl Ban Typ 1 (alll B) Count Original Parnt Population ½ Cup ¼ Cup 50 Ban 20 Ban 20 Ban 20 Ban Frquncy Ban Typ 2 (alll b) Count Frquncy
ChiSquare. Hypothesis: There is an equal chance of flipping heads or tails on a coin. Coin A. Expected (e) (o e) (o e) 2 (o e) 2 e
Why? ChiSquar How do you know if your data is th rsult of random chanc or nvironmntal factors? Biologists and othr scintists us rlationships thy hav discovrd in th lab to prdict vnts that might happn
More informationExponential Growth and Decay; Modeling Data
Exponntial Growth and Dcay; Modling Data In this sction, w will study som of th applications of xponntial and logarithmic functions. Logarithms wr invntd by John Napir. Originally, thy wr usd to liminat
More informationDeer: Predation or Starvation
: Prdation or Starvation National Scinc Contnt Standards: Lif Scinc: s and cosystms Rgulation and Bhavior Scinc in Prsonal and Social Prspctiv s, rsourcs and nvironmnts Unifying Concpts and Procsss Systms,
More informationby John Donald, Lecturer, School of Accounting, Economics and Finance, Deakin University, Australia
Studnt Nots Cost Volum Profit Analysis by John Donald, Lcturr, School of Accounting, Economics and Financ, Dakin Univrsity, Australia As mntiond in th last st of Studnt Nots, th ability to catgoris costs
More informationLecture 3: Diffusion: Fick s first law
Lctur 3: Diffusion: Fick s first law Today s topics What is diffusion? What drivs diffusion to occur? Undrstand why diffusion can surprisingly occur against th concntration gradint? Larn how to dduc th
More informationSPECIAL VOWEL SOUNDS
SPECIAL VOWEL SOUNDS Plas consult th appropriat supplmnt for th corrsponding computr softwar lsson. Rfr to th 42 Sounds Postr for ach of th Spcial Vowl Sounds. TEACHER INFORMATION: Spcial Vowl Sounds (SVS)
More informationSimulated Radioactive Decay Using Dice Nuclei
Purpos: In a radioactiv sourc containing a vry larg numbr of radioactiv nucli, it is not possibl to prdict whn any on of th nucli will dcay. Although th dcay tim for any on particular nuclus cannot b prdictd,
More informationNonHomogeneous Systems, Euler s Method, and Exponential Matrix
NonHomognous Systms, Eulr s Mthod, and Exponntial Matrix W carry on nonhomognous firstordr linar systm of diffrntial quations. W will show how Eulr s mthod gnralizs to systms, giving us a numrical approach
More informationThe example is taken from Sect. 1.2 of Vol. 1 of the CPN book.
Rsourc Allocation Abstract This is a small toy xampl which is wllsuitd as a first introduction to Cnts. Th CN modl is dscribd in grat dtail, xplaining th basic concpts of Cnts. Hnc, it can b rad by popl
More informationCPS 220 Theory of Computation REGULAR LANGUAGES. Regular expressions
CPS 22 Thory of Computation REGULAR LANGUAGES Rgular xprssions Lik mathmatical xprssion (5+3) * 4. Rgular xprssion ar built using rgular oprations. (By th way, rgular xprssions show up in various languags:
More informationEcon 371: Answer Key for Problem Set 1 (Chapter 1213)
con 37: Answr Ky for Problm St (Chaptr 23) Instructor: Kanda Naknoi Sptmbr 4, 2005. (2 points) Is it possibl for a country to hav a currnt account dficit at th sam tim and has a surplus in its balanc
More informationTraffic Flow Analysis (2)
Traffic Flow Analysis () Statistical Proprtis. Flow rat distributions. Hadway distributions. Spd distributions by Dr. GangLn Chang, Profssor Dirctor of Traffic safty and Oprations Lab. Univrsity of Maryland,
More informationA Derivation of Bill James Pythagorean WonLoss Formula
A Drivation of Bill Jams Pythagoran WonLoss Formula Ths nots wr compild by John Paul Cook from a papr by Dr. Stphn J. Millr, an Assistant Profssor of Mathmatics at Williams Collg, for a talk givn to th
More information7 Timetable test 1 The Combing Chart
7 Timtabl tst 1 Th Combing Chart 7.1 Introduction 7.2 Tachr tams two workd xampls 7.3 Th Principl of Compatibility 7.4 Choosing tachr tams workd xampl 7.5 Ruls for drawing a Combing Chart 7.6 Th Combing
More informationBasis risk. When speaking about forward or futures contracts, basis risk is the market
Basis risk Whn spaking about forward or futurs contracts, basis risk is th markt risk mismatch btwn a position in th spot asst and th corrsponding futurs contract. Mor broadly spaking, basis risk (also
More informationAdverse Selection and Moral Hazard in a Model With 2 States of the World
Advrs Slction and Moral Hazard in a Modl With 2 Stats of th World A modl of a risky situation with two discrt stats of th world has th advantag that it can b natly rprsntd using indiffrnc curv diagrams,
More informationImproving Managerial Accounting and Calculation of Labor Costs in the Context of Using Standard Cost
Economy Transdisciplinarity Cognition www.ugb.ro/tc Vol. 16, Issu 1/2013 5054 Improving Managrial Accounting and Calculation of Labor Costs in th Contxt of Using Standard Cost Lucian OCNEANU, Constantin
More informationChapter 9 Nuclear Radiation Radioactive Isotopes 9.1 radioactive isotope Natural Radioactivity
Chaptr 9 Nuclar Radiation 9. Natural Radioactivity Radioactiv Isotops A radioactiv isotop has an unstabl nuclus. mits radiation to bcom mor stabl. can b on or mor of th isotops of an lmnt 2 Nuclar Radiation
More informationForeign Exchange Markets and Exchange Rates
Microconomics Topic 1: Explain why xchang rats indicat th pric of intrnational currncis and how xchang rats ar dtrmind by supply and dmand for currncis in intrnational markts. Rfrnc: Grgory Mankiw s Principls
More informationCategory 7: Employee Commuting
7 Catgory 7: Employ Commuting Catgory dscription This catgory includs missions from th transportation of mploys 4 btwn thir homs and thir worksits. Emissions from mploy commuting may aris from: Automobil
More information14.3 Area Between Curves
14. Ara Btwn Curvs Qustion 1: How is th ara btwn two functions calculatd? Qustion : What ar consumrs and producrs surplus? Earlir in this chaptr, w usd dfinit intgrals to find th ara undr a function and
More informationLecture 20: Emitter Follower and Differential Amplifiers
Whits, EE 3 Lctur 0 Pag of 8 Lctur 0: Emittr Followr and Diffrntial Amplifirs Th nxt two amplifir circuits w will discuss ar ry important to lctrical nginring in gnral, and to th NorCal 40A spcifically.
More informationQuestion 3: How do you find the relative extrema of a function?
ustion 3: How do you find th rlativ trma of a function? Th stratgy for tracking th sign of th drivativ is usful for mor than dtrmining whr a function is incrasing or dcrasing. It is also usful for locating
More informationSUBATOMIC PARTICLES AND ANTIPARTICLES AS DIFFERENT STATES OF THE SAME MICROCOSM OBJECT. Eduard N. Klenov* RostovonDon. Russia
SUBATOMIC PARTICLES AND ANTIPARTICLES AS DIFFERENT STATES OF THE SAME MICROCOSM OBJECT Eduard N. Klnov* RostovonDon. Russia Th distribution law for th valus of pairs of th consrvd additiv quantum numbrs
More informationPrinciples of Humidity Dalton s law
Principls of Humidity Dalton s law Air is a mixtur of diffrnt gass. Th main gas componnts ar: Gas componnt volum [%] wight [%] Nitrogn N 2 78,03 75,47 Oxygn O 2 20,99 23,20 Argon Ar 0,93 1,28 Carbon dioxid
More informationGOD CALLS MOSES. 2 Illustrations by Ken Tunell
GOD CALLS MOSES Aftr th dath of Josph and his brothrs, thir familis Mcontinud to liv in th land of Egypt. Thr thy grw grat in numbr and latr bcam known as Isralits. Aftr many yars, a nw Pharaoh bcam king
More informationintro Imagine that someone asked you to describe church using only the bible. What would you say to them?
intro Imagin that somon askd you to dscrib church using only th bibl. What would you say to thm? So many of th things w'v mad church to b arn't ssntial in scriptur. W'r on a journy of rimagining what
More informationEntityRelationship Model
EntityRlationship Modl Kuanghua Chn Dpartmnt of Library and Information Scinc National Taiwan Univrsity A Company Databas Kps track of a company s mploys, dpartmnts and projcts Aftr th rquirmnts collction
More informationMaking and Using the Hertzsprung  Russell Diagram
Making and Using th Hrtzsprung  Russll Diagram Nam In astronomy th HrtzsprungRussll Diagram is on of th main ways that w organiz data dscribing how stars volv, ags of star clustrs, masss of stars tc.
More informationSettlement of a Soil Layer. Onedimensional Consolidation and Oedometer Test. What is Consolidation?
Ondimnsional Consolidation and Odomtr Tst Lctur No. 12 Octobr 24, 22 Sttlmnt of a Soil Layr Th sttlmnt is dfind as th comprssion of a soil layr du to th loading applid at or nar its top surfac. Th total
More informationSigmoid Functions and Their Usage in Artificial Neural Networks
Sigmoid Functions and Thir Usag in Artificial Nural Ntworks Taskin Kocak School of Elctrical Enginring and Computr Scinc Applications of Calculus II: Invrs Functions Eampl problm Calculus Topic: Invrs
More informationLABORATORY 1 IDENTIFICATION OF CIRCUIT IN A BLACKBOX
LABOATOY IDENTIFICATION OF CICUIT IN A BLACKBOX OBJECTIES. To idntify th configuration of an lctrical circuit nclosd in a twotrminal black box.. To dtrmin th valus of ach componnt in th black box circuit.
More informationParallel and Distributed Programming. Performance Metrics
Paralll and Distributd Programming Prformanc! wo main goals to b achivd with th dsign of aralll alications ar:! Prformanc: th caacity to rduc th tim to solv th roblm whn th comuting rsourcs incras;! Scalability:
More informationModule 7: Discrete State Space Models Lecture Note 3
Modul 7: Discrt Stat Spac Modls Lctur Not 3 1 Charactristic Equation, ignvalus and ign vctors For a discrt stat spac modl, th charactristic quation is dfind as zi A 0 Th roots of th charactristic quation
More informationFACULTY SALARIES FALL 2004. NKU CUPA Data Compared To Published National Data
FACULTY SALARIES FALL 2004 NKU CUPA Data Compard To Publishd National Data May 2005 Fall 2004 NKU Faculty Salaris Compard To Fall 2004 Publishd CUPA Data In th fall 2004 Northrn Kntucky Univrsity was among
More informationINTRO. DVD projection equipment Life in 6 Words: The GOSPEL Explored DVD Participant Guides one for each group member Pens/pencils Bibles
GO OUR SINS PAYING EVERYONE LIFE v i GREAT STORIES Ky Scriptur: 1 Corinthians 15:34 Supplis: V projction quipmnt Lif in 6 Words: Th GOSPEL Explord V Pticipant Guids on for ach group mmbr Pns/pncils Bibls
More informationGas Radiation. MEL 725 PowerPlant Steam Generators (300) Dr. Prabal Talukdar Assistant Professor Department of Mechanical Engineering IIT Delhi
Gas Radiation ME 725 PowrPlant Stam Gnrators (300) Dr. Prabal Talukdar Assistant Profssor Dpartmnt of Mchanical Enginring T Dlhi Radiation in absorbingmitting mdia Whn a mdium is transparnt to radiation,
More informationHSBC Bank International Expat Explorer Survey 08
HSBC Bank Intrnational Expat Explorr Survy 08 Rport On: Expat Existnc Th Survy Th Expat Explorr survy qustiond 2,155 xpatriats across four continnts about th opportunitis and challngs thy fac. Th survy
More informationFactorials! Stirling s formula
Author s not: This articl may us idas you havn t larnd yt, and might sm ovrly complicatd. It is not. Undrstanding Stirling s formula is not for th faint of hart, and rquirs concntrating on a sustaind mathmatical
More information5 2 index. e e. Prime numbers. Prime factors and factor trees. Powers. worked example 10. base. power
Prim numbrs W giv spcial nams to numbrs dpnding on how many factors thy hav. A prim numbr has xactly two factors: itslf and 1. A composit numbr has mor than two factors. 1 is a spcial numbr nithr prim
More informationRemember you can apply online. It s quick and easy. Go to www.gov.uk/advancedlearningloans. Title. Forename(s) Surname. Sex. Male Date of birth D
24+ Advancd Larning Loan Application form Rmmbr you can apply onlin. It s quick and asy. Go to www.gov.uk/advancdlarningloans About this form Complt this form if: you r studying an ligibl cours at an approvd
More informationII. Equipment. Magnetic compass, magnetic dip compass, Helmholtz coils, HP 6212 A power supply, Keithley model 169 multimeter
Magntic fild of th arth I. Objctiv: Masur th magntic fild of th arth II. Equipmnt. Magntic compass, magntic dip compass, Hlmholtz s, HP 6212 A powr supply, Kithly modl 169 multimtr III Introduction. IIIa.
More informationPoisson Distribution. Poisson Distribution Example
Poisson Distribution Can b usd to valuat th probability of an isolatd vnt occurring a spcific numbr of tims in a givn tim intrval,.g. # of faults, # of lightning stroks tim intrval Rquirmnts: Evnts must
More informationSolutions to Homework 8 chem 344 Sp 2014
1. Solutions to Homwork 8 chm 44 Sp 14 .. 4. All diffrnt orbitals mans thy could all b paralll spins 5. Sinc lctrons ar in diffrnt orbitals any combination is possibl paird or unpaird spins 6. Equivalnt
More informationNew Basis Functions. Section 8. Complex Fourier Series
Nw Basis Functions Sction 8 Complx Fourir Sris Th complx Fourir sris is prsntd first with priod 2, thn with gnral priod. Th connction with th ralvalud Fourir sris is xplaind and formula ar givn for convrting
More informationC H A P T E R 1 Writing Reports with SAS
C H A P T E R 1 Writing Rports with SAS Prsnting information in a way that s undrstood by th audinc is fundamntally important to anyon s job. Onc you collct your data and undrstand its structur, you nd
More informationNoble gas configuration. Atoms of other elements seek to attain a noble gas electron configuration. Electron configuration of ions
Valnc lctron configuration dtrmins th charactristics of lmnts in a group Nobl gas configuration Th nobl gass (last column in th priodic tabl) ar charactrizd by compltly filld s and p orbitals this is a
More informationL13: Spectrum estimation nonparametric and parametric
L13: Spctrum stimation nonparamtric and paramtric Lnnart Svnsson Dpartmnt of Signals and Systms Chalmrs Univrsity of Tchnology Problm formulation Larning objctivs Aftr today s lctur you should b abl to
More informationThe Matrix Exponential
Th Matrix Exponntial (with xrciss) 92.222  Linar Algbra II  Spring 2006 by D. Klain prliminary vrsion Corrctions and commnts ar wlcom! Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial
More informationA Note on Approximating. the Normal Distribution Function
Applid Mathmatical Scincs, Vol, 00, no 9, 4549 A Not on Approimating th Normal Distribution Function K M Aludaat and M T Alodat Dpartmnt of Statistics Yarmouk Univrsity, Jordan Aludaatkm@hotmailcom and
More informationQUANTITATIVE METHODS CLASSES WEEK SEVEN
QUANTITATIVE METHODS CLASSES WEEK SEVEN Th rgrssion modls studid in prvious classs assum that th rspons variabl is quantitativ. Oftn, howvr, w wish to study social procsss that lad to two diffrnt outcoms.
More informationhttp://www.wwnorton.com/chemistry/tutorials/ch14.htm Repulsive Force
ctivation nrgis http://www.wwnorton.com/chmistry/tutorials/ch14.htm (back to collision thory...) Potntial and Kintic nrgy during a collision + + ngativly chargd lctron cloud Rpulsiv Forc ngativly chargd
More informationStatistical Machine Translation
Statistical Machin Translation Sophi Arnoult, Gidon Mailltt d Buy Wnnigr and Andra Schuch Dcmbr 7, 2010 1 Introduction All th IBM modls, and Statistical Machin Translation (SMT) in gnral, modl th problm
More informationModelling and Solving TwoStep Equations: ax + b = c
Modlling and Solving ToStp Equations: a + b c Focus on Aftr this lsson, you ill b abl to φ modl problms φ ith tostp linar quations solv tostp linar quations and sho ho you ord out th ansr Cali borrod
More informationCPU. Rasterization. Per Vertex Operations & Primitive Assembly. Polynomial Evaluator. Frame Buffer. Per Fragment. Display List.
Elmntary Rndring Elmntary rastr algorithms for fast rndring Gomtric Primitivs Lin procssing Polygon procssing Managing OpnGL Stat OpnGL uffrs OpnGL Gomtric Primitivs ll gomtric primitivs ar spcifid by
More informatione = C / electron Q = Ne
Physics 0 Modul 01 Homwork 1. A glass rod that has bn chargd to +15.0 nc touchs a mtal sphr. Aftrword, th rod's charg is +8.00 nc. What kind of chargd particl was transfrrd btwn th rod and th sphr, and
More informationCloud and Big Data Summer School, Stockholm, Aug., 2015 Jeffrey D. Ullman
Cloud and Big Data Summr Scool, Stockolm, Aug., 2015 Jffry D. Ullman Givn a st of points, wit a notion of distanc btwn points, group t points into som numbr of clustrs, so tat mmbrs of a clustr ar clos
More information10/06/08 1. Aside: The following is an online analytical system that portrays the thermodynamic properties of water vapor and many other gases.
10/06/08 1 5. Th watrair htrognous systm Asid: Th following is an onlin analytical systm that portrays th thrmodynamic proprtis of watr vapor and many othr gass. http://wbbook.nist.gov/chmistry/fluid/
More informationSample Lesson. Intensive, Multisensory Reading Intervention with Proven Results Grades PreK 8+ RTI. Level 1: Introductory Lesson 5: Short e
ORTON GILLINGHAM Sampl Lsson Intnsiv, Multisnsory Rading Intrvntion with Provn Rsults Grads PrK 8+ RTI Lvl 1: Introductory Lsson 5: Short BASED PROGRAM tl 8002255750 psbookscom fax 8884402665 From Tachr
More informationVersion Issue Date Reason / Description of Change Author Draft February, N/A 2009
Appndix A: CNS Managmnt Procss: OTRS POC Documnt Control Titl : CNS Managmnt Procss Documnt : (Location of Documnt and Documnt numbr) Author : Ettin Vrmuln (EV) Ownr : ICT Stratgic Srvics Vrsion : Draft
More information3. Yes. You can put 20 of the 6V lights in series, or you can put several of the 6V lights in series with a large resistance.
CHAPTE 6: DC Circuits sponss to Qustions. Evn though th bird s ft ar at high potntial with rspct to th ground, thr is vry littl potntial diffrnc btwn thm, bcaus thy ar clos togthr on th wir. Th rsistanc
More informationLeading professional learning
DEPARTMENT OF EDUCATION AND TRAINING Lading profssional larning Th litmus tst of all ladrship is whthr it mobiliss popl s commitmnt to putting thir nrgis into actions dsignd to improv things. Michal Fullan
More informationCategory 1: Purchased Goods and Services
1 Catgory 1: Purchasd Goods and Srvics Catgory dscription T his catgory includs all upstram (i.., cradltogat) missions from th production of products purchasd or acquird by th rporting company in th
More informationMathematics. Mathematics 3. hsn.uk.net. Higher HSN23000
hsn uknt Highr Mathmatics UNIT Mathmatics HSN000 This documnt was producd spcially for th HSNuknt wbsit, and w rquir that any copis or drivativ works attribut th work to Highr Still Nots For mor dtails
More informationFundamentals: NATURE OF HEAT, TEMPERATURE, AND ENERGY
Fundamntals: NATURE OF HEAT, TEMPERATURE, AND ENERGY DEFINITIONS: Quantum Mchanics study of individual intractions within atoms and molculs of particl associatd with occupid quantum stat of a singl particl
More informationLEVEL 5 S E C N D G R A D E. Decodable Reader Stories: Unit 1. Name: Week 3 Spelling Words
Practic vry Mmory Word using all fiv stps. Word Work BLM Unit 1, Lsson 11 Family: Plas kp this pag at hom and continu practicing th words with your child all wk. Childrn could writ any two words from th
More informationCookie Policy May 5, 2014
Cooki Policy May 5, 2014 Us of Cookis on Sizmk Wbsits This Cooki Disclosur applis only to us of cookis on corporat wbsits (www.sizmk.com and rlatd rgional wbsits) publishd by Sizmk Inc. and its affiliats
More informationJune 2012. Enprise Rent. Enprise 1.1.6. Author: Document Version: Product: Product Version: SAP Version: 8.81.100 8.8
Jun 22 Enpris Rnt Author: Documnt Vrsion: Product: Product Vrsion: SAP Vrsion: Enpris Enpris Rnt 88 88 Enpris Rnt 22 Enpris Solutions All rights rsrvd No parts of this work may b rproducd in any form or
More informationAP Calculus AB 2008 Scoring Guidelines
AP Calculus AB 8 Scoring Guidlins Th Collg Board: Conncting Studnts to Collg Succss Th Collg Board is a notforprofit mmbrship association whos mission is to connct studnts to collg succss and opportunity.
More informationArchitecture of the proposed standard
Architctur of th proposd standard Introduction Th goal of th nw standardisation projct is th dvlopmnt of a standard dscribing building srvics (.g.hvac) product catalogus basd on th xprincs mad with th
More informationSTATEMENT OF INSOLVENCY PRACTICE 3.2
STATEMENT OF INSOLVENCY PRACTICE 3.2 COMPANY VOLUNTARY ARRANGEMENTS INTRODUCTION 1 A Company Voluntary Arrangmnt (CVA) is a statutory contract twn a company and its crditors undr which an insolvncy practitionr
More informationWORKLOAD STANDARD DEPARTMENT OF CIVIL ENGINEERING. for the. Workload Committee : P.N. Gaskin (Chair) J.W. Kamphuis K. Van Dalen. September 24, 1997
WORKLOAD STANDARD for th DEPARTMENT OF CIVIL ENGINEERING Sptmbr 24, 1997 Workload Committ : P.N. Gaskin (Chair) J.W. Kamphuis K. Van Daln 9 2 TABLE OF CONTENTS l. INTRODUCTION... 3 2. DEFINITION OF WORKLOAD
More informationI. INTRODUCTION. Figure 1, The Input Display II. DESIGN PROCEDURE
Ballast Dsign Softwar Ptr Grn, Snior ighting Systms Enginr, Intrnational Rctifir, ighting Group, 101S Spulvda Boulvard, El Sgundo, CA, 9045438 as prsntd at PCIM Europ 0 Abstract: W hav dvlopd a Windows
More informationSPECIFIC HEAT AND HEAT OF FUSION
PURPOSE This laboratory consists of to sparat xprimnts. Th purpos of th first xprimnt is to masur th spcific hat of to solids, coppr and rock, ith a tchniqu knon as th mthod of mixturs. Th purpos of th
More informationLogo Design/Development 1on1
Logo Dsign/Dvlopmnt 1on1 If your company is looking to mak an imprssion and grow in th marktplac, you ll nd a logo. Fortunatly, a good graphic dsignr can crat on for you. Whil th pric tags for thos famous
More informationUse a highlevel conceptual data model (ER Model). Identify objects of interest (entities) and relationships between these objects
Chaptr 3: Entity Rlationship Modl Databas Dsign Procss Us a highlvl concptual data modl (ER Modl). Idntify objcts of intrst (ntitis) and rlationships btwn ths objcts Idntify constraints (conditions) End
More informationInference by Variable Elimination
Chaptr 5 Infrnc by Variabl Elimination Our purpos in this chaptr is to prsnt on of th simplst mthods for gnral infrnc in Baysian ntworks, known as th mthod of Variabl Elimination. 5.1 Introduction Considr
More informationNotes for Geometry Conic Sections
Nots for Gomtry Conic Sctions Th nots is takn from Gomtry, by David A. Brannan, Matthw F. Espln and Jrmy J. Gray, 2nd dition 1 Conic Sctions A conic sction is dfind as th curv of intrsction of a doubl
More informationSIMULATION OF THE PERFECT COMPETITION AND MONOPOLY MARKET STRUCTURE IN THE COMPANY THEORY
1 SIMULATION OF THE PERFECT COMPETITION AND MONOPOLY MARKET STRUCTURE IN THE COMPANY THEORY ALEXA Vasil ABSTRACT Th prsnt papr has as targt to crat a programm in th Matlab ara, in ordr to solv, didactically
More informationH 2 O + CO 2 (g) NO 2 O 2 N. starting material
5 olutions roblm 7.1. (II)CO 3 + H 4 (aq) + air (O ) > [(H 3 ) 4 (CO 3 )] th carbonat product is pink and contains bidntat carbonat. [(H 3 ) 4 (CO 3 )] + H(aq) > CO (g) + H O + [(H 3 ) 4 ] + (aq)
More information14.02 Principles of Macroeconomics Problem Set 4 Solutions Fall 2004
art I. Tru/Fals/Uncrtain Justify your answr with a short argumnt. 4.02 rincipls of Macroconomics roblm St 4 Solutions Fall 2004. High unmploymnt implis that th labor markt is sclrotic. Uncrtain. Th unmploymnt
More informationYOUR MATARIKI KETE PRIMARY EDITION. Learn about Matariki. How do you find it in the sky and why is it important?
YOUR MATARIKI KETE Larn about Matariki. How do you find it in th sky and why is it important? 2016 PRIMARY EDITION Includs a comptition and pullout postr. WHAT IS MATARIKI? Matariki is a clustr of svn
More informationChapter 5 Capacitance and Dielectrics
5 5 5 Chaptr 5 Capacitanc and Dilctrics 5.1 Introduction... 53 5. Calculation of Capacitanc... 54 Exampl 5.1: ParalllPlat Capacitor... 54 Exampl 5.: Cylindrical Capacitor... 56 Exampl 5.3: Sphrical
More informationFinancial Mathematics
Financial Mathatics A ractical Guid for Actuaris and othr Businss rofssionals B Chris Ruckan, FSA & Jo Francis, FSA, CFA ublishd b B rofssional Education Solutions to practic qustions Chaptr 7 Solution
More informationConstraintBased Analysis of Gene Deletion in a Metabolic Network
ConstraintBasd Analysis of Gn Dltion in a Mtabolic Ntwork Abdlhalim Larhlimi and Alxandr Bockmayr DFGRsarch Cntr Mathon, FB Mathmatik und Informatik, Fri Univrsität Brlin, Arnimall, 3, 14195 Brlin, Grmany
More informationest with berkeley / uc berkeley exte xtension / be your best with berkel
c rkley xtnsion yor st rkly c rkley xtnsion st with rkly c rkley xt PostBaccalarat yor st Program with for rkly c rk xtnsion yor st with rkl c rkley xtnsion yor st rkly Consling c rkley and xtnsion st
More informationStandard errors for regression coefficients; Multicollinearity
Standard rror for rgrion cofficint; Multicollinarit Standard rror. Rcall that b k i a point timat of β k. Bcau of ampling variabilit, thi timat ma b too high or too low. bk, th tandard rror of b k, giv
More informationLesson 8  Pickle Syllables (Part 1)
Excrt from A About Rang Lv 3 Lsson 8  P Syabs (Part 1) In ths sson, stunts w co twosyab wors contanng Cos an P syab tys. Th sson aso tachs th ffth job of Snt E an th P syab vson ru. You w n: Swng nto
More informationContinuity Cloud Virtual Firewall Guide
Cloud Virtual Firwall Guid uh6 Vrsion 1.0 Octobr 2015 Foldr BDR Guid for Vam Pag 1 of 36 Cloud Virtual Firwall Guid CONTENTS INTRODUCTION... 3 ACCESSING THE VIRTUAL FIREWALL... 4 HYPERV/VIRTUALBOX CONTINUITY
More informationDevelopment of Financial Management Reporting in MPLS
1 Dvlopmnt of Financial Managmnt Rporting in MPLS 1. Aim Our currnt financial rports ar structurd to dlivr an ovrall financial pictur of th dpartmnt in it s ntirty, and thr is no attmpt to provid ithr
More informationFree ACA SOLUTION (IRS 1094&1095 Reporting)
Fr ACA SOLUTION (IRS 1094&1095 Rporting) Th Insuranc Exchang (301) 2791062 ACA Srvics Transmit IRS Form 1094 C for mployrs Print & mail IRS Form 1095C to mploys HR Assist 360 will gnrat th 1095 s for
More informationProduction Costing (Chapter 8 of W&W)
Production Costing (Chaptr 8 of W&W).0 Introduction Production costs rfr to th oprational costs associatd with producing lctric nrgy. Th most significant componnt of production costs ar th ful costs ncssary
More informationSection 7.4: Exponential Growth and Decay
1 Sction 7.4: Exponntial Growth and Dcay Practic HW from Stwart Txtbook (not to hand in) p. 532 # 117 odd In th nxt two ction, w xamin how population growth can b modld uing diffrntial quation. W tart
More informationLong run: Law of one price Purchasing Power Parity. Short run: Market for foreign exchange Factors affecting the market for foreign exchange
Lctur 6: Th Forign xchang Markt xchang Rats in th long run CON 34 Mony and Banking Profssor Yamin Ahmad xchang Rats in th Short Run Intrst Parity Big Concpts Long run: Law of on pric Purchasing Powr Parity
More informationAnalyzing the Economic Efficiency of ebaylike Online Reputation Reporting Mechanisms
A rsarch and ducation initiativ at th MIT Sloan School of Managmnt Analyzing th Economic Efficincy of Baylik Onlin Rputation Rporting Mchanisms Papr Chrysanthos Dllarocas July For mor information, plas
More informationA Theoretical Model of Public Response to the Homeland Security Advisory System
A Thortical Modl of Public Rspons to th Homland Scurity Advisory Systm Amy (Wnxuan) Ding Dpartmnt of Information and Dcision Scincs Univrsity of Illinois Chicago, IL 60607 wxding@uicdu Using a diffrntial
More information5.4 Exponential Functions: Differentiation and Integration TOOTLIFTST:
.4 Eponntial Functions: Diffrntiation an Intgration TOOTLIFTST: Eponntial functions ar of th form f ( ) Ab. W will, in this sction, look at a spcific typ of ponntial function whr th bas, b, is.78.... This
More informationESCI 341 Atmospheric Thermodynamics Lesson 14 Humidity Dr. DeCaria
PARIAL PRESSURE ESCI 341 Atmoshric hrmoynamics Lsson 14 Humiity Dr. DCaria In a mixtur of gass, ach gas scis contributs to th total rssur. ο h rssur xrt by a singl gas scis is known as th artial rssur
More informationRenewable Energy Sources. Solar Cells SJSUE10 S John Athanasiou
Rnwabl Enrgy Sourcs. Solar Clls SJSUE10 S2008 John Athanasiou 1 Rnwabl Enrgy Sourcs Rnwabl: Thy can last indfinitly 1. Wind Turbin: Convrting th wind nrgy into lctricity Wind, Propllr, Elctric Gnrator,
More informationAnalysis Of Injection Moulding Process Parameters
Analysis Of Injction Moulding Procss Paramtrs Mr. M.G. Rathi Assistant Profssor, partmnt of Mchanical Enginring, Govrnmnt Collg of Enginring Aurangabad, (MS), India. Mr. Manoj amodar Salunk Studnt, partmnt
More information