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Thomas Edison State - FEMA - 7
IS-139 Exercise DesignFinal Exam102010FINAL EXAM1. Research has shown that:a. Exercises are the best way to teach employees new skills.b. Extended lectures are an effective alternative to exercises.c. When possible, it is more effective to use real
Thomas Edison State - FEMA - 7
IS 208.a Final ExaminationSeptember 2010MULTIPLE CHOICE QUESTIONS: Mark the most correct choice on the answer sheet.1.What agency provides AmeriCorps assistance following a disaster?A.B.C.D.2.The Governors Authorized Representative (GAR):A.B.
Thomas Edison State - FEMA - 7
Fundamentals of Emergency ManagementIndependent Study 230.bFinal Exam1._: is the coordination and integration of all activities necessary tobuild, sustain, and improve the capability to prepare for, protect against, respond to,recover from, or mitig
Houston Downtown - PHYS - 2325
Work and Energy Principles ProblemsW = F d cos Definition of the Work done on an object by a given force, given theforce F , the displacement vector d , and the angle between them .PE g = mgh Definition of the Gravitational Potential Energy of an obje
SUNY Stony Brook - ANP - 300
NERVOUS TISSUEShould You Care About Anatomy?Should You Care About Anatomy?Should You Care About Anatomy?YESNervous SystemCommunicative control and coordination of different organ systemsNervous System Function- Sensory Activity- Integrative Activ
SUNY Stony Brook - ANP - 300
THE BRAINDevelopment of the BrainNeural tubePrimary vesiclesDevelopment of the BrainDevelopment of the BrainPROSENCEPHALONfore-brain- CEREBRUM- DIENCEPHALON- thalamus & hypothalamusMESENCEPHALONmid-brainRHOMBENCEPHALONhind-brain- MID-BRAIN
SUNY Stony Brook - ANP - 300
CRANIAL NERVESCranial Nerves = Peripheral Nerves of the BrainBRAINCRANIAL NERVESCNSPNSSPINAL CORDSPINAL NERVESCranial Nerves (n = 12)Numbered by EmergenceIXIICranial Nerves (n = 12)Numbers & NamesIXIIOlfactoryHypoglossalCranial NervesI
SUNY Stony Brook - ANP - 300
SPINAL CORD &SPINAL NERVESSpinal Nerves = Peripheral Nerves of the Spinal CordSomaticBRAINCRANIAL NERVESCNSPNSSPINAL CORDSPINAL NERVESDevelopment of Spinal CordStructure Similar Throughout Length of CordVertebral Canal-C1 - S5Spinal Cord-
SUNY Stony Brook - ANP - 300
AUTONOMICNERVOUS SYSTEMORGANIZATION OF THE NERVOUS SYSTEMPNSVisceralAUTONOMICNERVOUSSYSTEMEfferentSympatheticParasympatheticAutonomic = Peripheral Nerves of Spinal Cord & BrainVisceralEfferentBRAINCRANIAL NERVESCNSPNSSPINAL CORDSPINAL N
SUNY Stony Brook - ANP - 300
Lab 5 notes The NeckThis lab will cover the osteology, muscles, organs/structures, innervation and bloodsupply of the neck. Unlike previous labs on the limbs, muscles will be less of a focus, andnerves and blood vessels will be more important.Skeleton
SUNY Stony Brook - ANP - 300
Lab 6 NotesIn this lab we will cover the skeleton, dentition, muscles and blood vessels in the head.We will also cover the boundaries and structures of two important spaces in the head, thenasal and oral cavities.Bones of the skullThe skull can be di
SUNY Stony Brook - ANP - 300
The Brain and Cranial NervesThese main divisions of the brain are into the hindbrain, midbrain and forebrain.These are divisions based on the embryological origin of the brain in the adult thedistinction, particularly between the midbrain and the hindb
SUNY Stony Brook - ANP - 300
Lab 8: The Eye and EarThe eyeThe superficial aspect of the eye is a familiar structure, but it is more complex than youmay think- you need to know both the external structure of the eye and eyelids as well asthe structures within the eyeball, and the
SUNY Stony Brook - ANP - 300
CIRCULATORYSYSTEM IComponents of Circulatory SystemBloodRed Bone MarrowLymphoid TissueHeartVesselsFunctions of Circulatory SystemTransportO2 from lungsCO2 to lungsHormones from endocrine organsWaste to kidneyWaste to liverProtectionWhite b
SUNY Stony Brook - ANP - 300
DIGESTIVESYSTEM IFunction of Digestive SystemIngestionDigestion- physical- chemicalAbsorption- vascular capillaries- lacteals (lymphatic capillaries)EliminationComponents of Digestive Systemmuscular tube with accessory organsComponents of Dig
SUNY Stony Brook - ANP - 300
DIGESTIVESYSTEM IIComponents of Digestive SystemOral Cavity- salivary glandsPharynxEsophagusstorage & digestionStomachSmall Intestine- liver & gallbladder- pancreasLarge IntestineRectumAnusStomachFundusCardialongitudinalcircularoblique
SUNY Stony Brook - ANP - 300
URINARY SYSTEMFunction of the Urinary SystemRegulation of extracellular fluid volumeRegulation of extracellular fluid concentrations- pH- electrolytesEliminate metabolic waste- uric acid- bilirubinSecretion of reninActivation of vitamin DCompon
SUNY Stony Brook - ANP - 300
REPRODUCTIVESYSTEM IFunction of the Reproductive SystemReproductionComponents of the Reproductive SystemCommon Pelvic Anatomy- bony pelvis- pelvic diaphragm- urogenital & anal triangles- muscles of the perineumMale Genitalia- scrotum, testis &
SUNY Stony Brook - ANP - 300
REPRODUCTIVESYSTEM IIComponents of the Reproductive SystemCommon Pelvic Anatomy- bony pelvis- pelvic diaphragm- urogenital & anal triangles- muscles of the perineumMale Genitalia- scrotum, testis & epididymis- seminal vesicles & prostate- penis
SUNY Stony Brook - ANP - 300
Lab 3: The Upper LimbExercise 1.On the bones on your table find the following features: label them on the diagramsbelow.Scapula- glenoid fossa, coracoid process, spine, acromion, subscapular fossa,infraspinous fossa, supraspinous fossaHumerus- head,
SUNY Stony Brook - ANP - 300
Lab 4: The Lower LimbExercise 1.Find the following features on the bones. Label them on the diagrams.Os Coxae- acetabulum, ilium, ischium, pubis, iliac crest, ischial spine, ischialtuberosity, obturator foramen, greater sciatic notch, lesser sciatic n
SUNY Stony Brook - ANP - 300
Lab 5: The NeckExercise 1.Label the diagrams with the following (may be used more than once):Make sure you can also recognize these structures on the skeletons andmodels in the lab.temporal boneoccipital bonemastoid processmandiblestyloid process
SUNY Stony Brook - ANP - 300
Lab 1: Terminology and General OsteologyExercise 1.For each of the following anatomical directions write down the term that has theopposite meaning.Proximal /Medial /Superior /Palmar /Superficial /Plantar /Anterior /Labial /For each of the fol
SUNY Stony Brook - ANP - 300
Lab 2: The BackExercise 1.On the model of the integument in the lab make sure you can recognize the following:epidermissebaceous glanddermissweat glandhair folliclepapillary layer of the dermisarrector pilli muscleWhat differences are there betw
SUNY Stony Brook - ANP - 220
Readings for todaydiscussIs brain expansion linked to stone tools?On mans use of fire, withcomments on tool-makingand hunting (Kenneth P.Oakley)The radiator theory of brainevolution (Dean Falk)ANP 220meeting #09Readings for todayFour problems
SUNY Stony Brook - ANP - 220
Brain evolutionultimate causesHow can we afford such big brains?prime moversadaptive value of large brainselective forces & possiblebenefitsproximate causesANP 220meeting #09prime releasersunderlying mechanismallowing to have large brainPrime
SUNY Stony Brook - ANP - 220
Goals for todayWhat is the hobbit?Homo floresiensis (or hobbit)the basicsthe reactionANP 220why are people so excited/ enragedwhat is the hobbit?meeting #10history of discovery, characteristicswhy reduction in sizederived from which speciestwo
SUNY Stony Brook - ANP - 220
Genes and behaviorEvolution and behaviorwhy so much attention?why are (some) people so upset?ANP 220meeting #11Goals for todayEvolution and behaviorbehavioral diversityorigin of differences; how genes (really) worknatural selection and adaptatio
SUNY Stony Brook - ANP - 220
Natural selectionMating strategies and mating systemsfavors traits that enhanceability to survive andreproduceacts on ALL individualsSexual selectionANP 220meeting #12category of natural selectionfavors traits that increasesuccess in competitio
SUNY Stony Brook - ANP - 220
Goals for todayIs male aggression and competition keyto reproductive success?articles by Zimmer and Brownleestories of SB Hrdy & KB Strierinfanticide and sperm competitionmale-male competitionANP 220meeting #13direct & indirect, consequences if f
SUNY Stony Brook - ANP - 220
Goals for todayarticles by Lovejoy and SmutsAre male and female relationshipsbased primarily on reproductive sex?continuous receptivity: are humans special?ANP 220meeting #14reproduction and pair bonds: the Lovejoys modelwhat are friends for?cont
SUNY Stony Brook - ANP - 220
Goals for todayAre primate females selected to bemonogamous?articles by Buss and Tavrisevolution of desire: strategies of human matingmismeasure of women: the myth of the coy femalefemale mating strategiesANP 220meeting #15the basic idea(male) c
SUNY Stony Brook - ANP - 220
Human societiesvariation betweenThe evolutionary origins of patriarchyhierarchicalfrequent lethal fightingbetween menmale dominancemale violence againstwomenegalitarianrare violence between menmale not dominantmale violence againstwomen rare
USC - EE - 150
/=/rootTesterN.cpp/Codetotestthefirstsquarerootfunction/=#include#includeusingnamespacestd;doublesquareRootN(doublex,intN);/=>main<=intmain()cfw_cout.precision(15);/showlotsofdigitsdoublex;intN;cout<"Inputxandnumberofiterates[qtoquit]:>";ci
USC - EE - 150
/=/rootTesterResidual.cpp/Codetotestmysecondsquarerootfunction./=#include#includeusingnamespacestd;doublesquareRoot(doublex,doubleeps);/=>main<=intmain(void)cfw_cout.precision(15);/resolutionofdigitsshowndoublex;doubleeps;cout<"Inputxandthed
USC - EE - 150
%ee150_bball.mfunction ee150_bball%-% Constants%-radius = 0.7;% radius of the ballx0 = 0;% position of the center of the bally0 = 10 + radius;w = 3*pi;% angular velocity (radians/sec.)g = 9.81;% gravitational acceleration constant in m/s%-% Du
LSU - KIN - 2501
STUDY GUIDE KIN 2501 FINALCH 11. THE TREADY EVERY YEAR BEFORE THE OLYMPIC GAMES TO STOPWARS IS CALLED Ekecheiria2. WHO WAS THE POET WHO DESCRIBED THE ANCIENT GREEK GAMES?PINDAR3. THE TOMBESTONES WITH CHEATERS NAMES WERE CALLED Zanes.4. _Nike_IS THE
LSU - KIN - 2501
WED Aug 26, 2009Stages of change model: Pre-contemplation-thinking about changing Contemplation-hitting rock bottom; defining momentwhen you make the descision toalter your life in some way Preparation-When you make a plan Action-going through the p
LSU - KIN - 2501
Parts of wellness6 types of wellness that maximizes your life1.Physical wellness- exercise and nutrition2.Emotional or mental wellnessa.2/3 of college students have mental health disorder3.Intellectual wellness4.Spiritual wellness- faitha.Eve
University of Illinois, Urbana Champaign - STAT - 400
STAT 400Fall 2011Examples for 08/23/2011Complement of AA'( not A , A , Ac )contains all elementsthat are not in AIntersection of A and BAB( A and B , A B )contains all elementsthat are in A and in BUnion of A and BAB( A or B )contains all
University of Illinois, Urbana Champaign - STAT - 400
STAT 4001.Examples for 08/23/2011Suppose a 6-sided die is rolled. The sample space, S , isFall 2011cfw_ 1, 2, 3, 4, 5, 6 .Consider the following events:A = cfw_ the outcome is even ,B = cfw_ the outcome is greater than 3 ,a)List outcomes in A, B
University of Illinois, Urbana Champaign - STAT - 400
STAT 400Fall 2011Examples for 08/25/2011The conditional probability of A, given B (the probability of event A,computed on the assumption that event B has happened) isP(A B)P ( A B ) = P(B)( assuming P ( B ) 0 ).Similarly, the conditional probabil
University of Illinois, Urbana Champaign - STAT - 400
STAT 4001.Fall 2011Examples for 08/25/2011 (2)In Neverland, men constitute 60% of the labor force. The rates of unemploymentare 6.0% and 4.5% among males and females, respectively. A person is selectedat random from Neverlands labor force.a)What i
University of Illinois, Urbana Champaign - STAT - 400
STAT 4001.Fall 2011Examples for 08/25/2011 (2)In Neverland, men constitute 60% of the labor force. The rates of unemploymentare 6.0% and 4.5% among males and females, respectively. A person is selectedat random from Neverlands labor force.P( U | M
University of Illinois, Urbana Champaign - STAT - 400
STAT 400Fall 2011Examples for 08/25/2011The conditional probability of A, given B (the probability of event A,computed on the assumption that event B has happened) isP(A B)P ( A B ) = P(B)( assuming P ( B ) 0 ).Similarly, the conditional probabil
University of Illinois, Urbana Champaign - STAT - 400
STAT 400 BL1Examples for 08/30/2011Fall 2011Events A and B are independent if and only ifP(BA) = P(B)P(AB) = P(A)P(A B) = P(A) P(B)1.The probability that a randomly selected student at Anytown College owns a bicycle is0.55, the probability that a
University of Illinois, Urbana Champaign - STAT - 400
STAT 400 BL1Examples for 08/30/2011Fall 2011Events A and B are independent if and only ifP(BA) = P(B)P(AB) = P(A)P(A B) = P(A) P(B)Note that if two events, A and B, are mutually exclusive, then P( A B ) = 0. Therefore, twomutually exclusive events
University of Illinois, Urbana Champaign - STAT - 400
STAT 400Examples for 09/01/2011Fall 2011Multiplication Principle ( Fundamental Rule of Counting ):If there are n events and event i can occur in N i possible ways, thenthe number of ways in which the sequence of n events may occur isN 1 N 2 . N n1.
University of Illinois, Urbana Champaign - STAT - 400
STAT 400Fall 2011Examples for 09/01/2011Multiplication Principle ( Fundamental Rule of Counting ):If there are n events and event i can occur in N i possible ways, thenthe number of ways in which the sequence of n events may occur isN 1 N 2 . N n1.
University of Illinois, Urbana Champaign - STAT - 400
STAT 400Fall 2011Examples for 09/06/2011A random variable associates a numerical value with each outcome of arandom experiment.A random variable is said to be discrete if it has either a finite number ofvalues or infinitely many values that can be a
University of Illinois, Urbana Champaign - STAT - 400
STAT 4001.OutcomesxTT0HT TH1HHA balanced (fair) coin is tossed twice.Let X denote the number of H's.Construct the probability distributionof X.2S = cfw_ HH , HT , TH , TT X=Fall 2011Examples for 09/06/201121Just for fun:1f(x)1/41
University of Illinois, Urbana Champaign - STAT - 400
STAT 400Fall 2011Examples for 09/08/2011Binomial Distribution:1.The number of trials, n, is fixed.2.Each trial has two possible outcomes: success and failure.3.The probability of success, p, is the same from trial to trial.4.The trials are inde
University of Illinois, Urbana Champaign - STAT - 400
STAT 400Fall 2011Examples for 09/08/2011Binomial Distribution:1.The number of trials, n, is fixed.2.Each trial has two possible outcomes: success and failure.3.The probability of success, p, is the same from trial to trial.4.The trials are inde
University of Illinois, Urbana Champaign - STAT - 400
STAT 400Examples for 09/13/2011 (1)Fall 20115.Suppose that on Halloween 6 children come to a house to get treats. A bagcontains 8 plain chocolate bars and 7 nut bars. Each child reaches into the bagand randomly selects 1 candy bar. Let X denote the
University of Illinois, Urbana Champaign - STAT - 400
STAT 400Examples for 09/13/2011 (1)Fall 20115.Suppose that on Halloween 6 children come to a house to get treats. A bagcontains 8 plain chocolate bars and 7 nut bars. Each child reaches into the bagand randomly selects 1 candy bar. Let X denote the
University of Illinois, Urbana Champaign - STAT - 400
STAT 400Examples for 09/13/2011 (2)Fall 2011The k th moment of X (the k th moment of X about the origin), k , is given byk = E( X k) = x k f (x )all xThe k th central moment of X (the k th moment of X about the mean), k' , is given by k' = E ( ( X
University of Illinois, Urbana Champaign - STAT - 400
STAT 400Fall 2011Examples for 09/13/2011 (2)The k th moment of X (the k th moment of X about the origin), k , is given byk = E( X k) = x k f (x )all xThe k th central moment of X (the k th moment of X about the mean), k' , is given by k' = E ( ( X
University of Illinois, Urbana Champaign - STAT - 400
STAT 400Fall 2011Examples for 09/15/2011Poisson Distribution:X = the number of occurrences of a particular event in an interval of time or space.P( X = x ) =x e ,x!E( X ) = ,Table III ( pp. 580 582 )x = 0, 1, 2, 3, .Var( X ) = .givesP( X x )
University of Illinois, Urbana Champaign - STAT - 400
STAT 400Examples for 09/15/2011Fall 2011Poisson Distribution:X = the number of occurrences of a particular event in an interval of time or space.x e ,P( X = x ) =x!E( X ) = ,Var( X ) = .Table III ( pp. 580 582 )1.x = 0, 1, 2, 3, .P( X x )giv
University of Illinois, Urbana Champaign - STAT - 400
STAT 400Fall 2011Examples for 09/20/2011Continuous Random Variables.The probabilities associated with a continuous random variable X are determined by theprobability density function of the random variable. The function, denoted (x), mustsatisfy the
University of Illinois, Urbana Champaign - STAT - 400
STAT 400Fall 2011Examples for 09/20/2011random variablesdiscretecontinuousprobability mass functionp.m.f.probability density functionp.d.f.p( x ) = P ( X = x )f( x )0 p( x ) 1xf( x ) 0x p( x ) = 1 f (x ) d xall x=1cumulative distributi