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HDM Matrix v1.0
Course: EMGT 530, Winter 2008School: Portland
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X C1 0.17 C2 0.15 C3 0.17 C4 0.12 C5 0.17 C6 0.10 C7 0.13 T1 0.01 0.04 0.08 0.12 0.19 0.14 0.22 0.11 0.11 = Normalize T2 0.07 0.18 0.19 0.03 0.12 0.16 0.14 0.24 0.14 T3 0.34 0.12 0.16 0.28 0.29 0.32 0.06 0.23 0.22 T4 0.27 0.33 0.2 0.29 0.2 0.19 0.24 0.25 0.25 T5 0.31 0.33 0.37 0.29 0.2 0.19 0.24 0.28 0.28
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X C1
0.17
C2
0.15
C3
0.17
C4
0.12
C5
0.17
C6
0.10
C7
0.13
T1 0.01 0.04 0.08 0.12 0.19 0.14 0.22 0.11 0.11
= Normalize
T2 0.07 0.18 0.19 0.03 0.12 0.16 0.14 0.24 0.14
T3 0.34 0.12 0.16 0.28 0.29 0.32 0.06 0.23 0.22
T4 0.27 0.33 0.2 0.29 0.2 0.19 ...
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Portland - ETM - 530
C10.17C20.15C30.17C40.12C50.17C60.10C70.13T1 X 0.01 0.04 0.08 0.12 0.19 0.14 0.22 0.11 0.11= NormalizeT2 0.07 0.18 0.19 0.03 0.12 0.16 0.24 0.14 0.14T3 0.34 0.12 0.16 0.28 0.29 0.32 0.06 0.23 0.22T4 0.27 0.33 0.2 0.29 0.2
Portland - EMGT - 535
The second AHPA B C D Lingo 19.95 Lingo $34.95 AT&T 29.99 Verizon 29.95 NPV(saving) $527.38 $463.71 $413.17 $406.17 Normalized 0.291299285 0.256132067 0.22821721 0.224351438 Reputation Normalized A B C D Lingo 19.95 Lingo $34.95 AT&T 29.99 Verizon 2
Portland - ETM - 535
The second AHPA B C D Lingo 19.95 Lingo $34.95 AT&T 29.99 Verizon 29.95 NPV(saving) $527.38 $463.71 $413.17 $406.17 Normalized 0.291299285 0.256132067 0.22821721 0.224351438 Reputation Normalized A B C D Lingo 19.95 Lingo $34.95 AT&T 29.99 Verizon 2
Portland - EMGT - 510
Case Study: Case 1Yuan-Chi Huang EMGT 510/610-TT June 29, 2003 Northern Telecom and Neta (B): Transferring Technology to Central AsiaSummary: The article mainly discusses the background information in the Central Asia during 90s and the establi
Portland - EMGT - 510
Case Study: Case 2Yuan-Chi Huang EMGT510/610-TT July 7, 2003 ARCH Venture Partners: November 1993SUMMARY: The article talks about the motivations in establishing The Argonne National Laboratory / University of Chicago (ARCH) Development Corpora
Portland - EMGT - 510
PICMET Technology Transfer (PSU ETM) OverviewsPart 1: Strategy Management of Technology (WE12.01) YuanChi Part 2: Managing Corporate New Venture Teams (WS3) Tobiah Halter Part 3: Managing R&D and Technology Intensive Projects (WS1) Quinn C
Portland - EMGT - 510
Portland State University EMGT 510 Technology TransferRESIDENTIAL FUEL CELLS:Utilizing a Technology Transfer Office Overview Abstract Background Methodology Technology Transfer RecapBy: Tobiah Halter, Quinn Collett, Yuan-Chi Huang Date: Aug
Portland - EMGT - 510
Problem Identification Oil prices increase. Limited fossil fuel reserves. Environmental problems (emissions). Energy demand is growing. Imperative to find energy alternatives Energy AlternativesGasolinePollution Free Waste Free Relia
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Portland State University Engineering and Technology Management ProgramCase Study # 1Falls engineeringProject Management in Engineering and Technology (EMGT545/645)Dr. Dragon Milosevic Fall 2004By: Team # 4 Bassam Abu- Khater Kevin Huang Mich
Portland - EMGT - 545
Portland State University Engineering and Technology Management ProgramCase Study #2 Quasar Communications, INC. Project Management in Engineering and Technology (EMGT545/645)Dr. Dragon Milosevic Fall 2004By: Team # 4 Bassam Abu- Khater Kevin Hu
Portland - EMGT - 545
Problem 6 Category Weight Consulting Cost 20 Acquisition Time 20 Disruption 10 Cultural Difference 10 Skill Redundenies 10 Implementation Risk 25 Infrastructure 10 Overall Problem 7.a Category Weight Consulting Cost 20 Acquisition Time 20 Disruption
Portland - HW - 545
Problem 6 Category Weight Consulting Cost 20 Acquisition Time 20 Disruption 10 Cultural Difference 10 Skill Redundenies 10 Implementation Risk 25 Infrastructure 10 Overall Problem 7.a Category Weight Consulting Cost 20 Acquisition Time 20 Disruption
Portland - EMGT - 545
Portland State University Engineering and Technology Management ProgramHomework # 4 Multiplex Co. Project Management in Engineering and Technology (EMGT545/645)Dr. Dragon Milosevic Fall 2004By: Team # 4 Bassam Abu- Khater Kevin Huang Michael Wri
Portland - HW - 545
Portland State University Engineering and Technology Management ProgramHomework # 4 Multiplex Co. Project Management in Engineering and Technology (EMGT545/645)Dr. Dragon Milosevic Fall 2004By: Team # 4 Bassam Abu- Khater Kevin Huang Michael Wri
Portland - EMGT - 540
Input coeffiecientNurse payment rate (per hour)]: Number of nurse in team [T] Average patient received hour [A] Nurse Ratio (patients/nurse) [Nr] The time that patient received from nurse each period n= Average Coming Patient per Hour [Pn] The ti
Portland - ETM - 540
Input coeffiecientNurse payment rate (per hour)]: Number of nurse in team [T] Average patient received hour [A] Nurse Ratio (patients/nurse) [Nr] The time that patient received from nurse each period n= Average Coming Patient per Hour [Pn] The ti
Portland - EMGT - 540
Scheduled Nurse Hours for 2 Weeks Required Shift Hours for 2 Weeks928928Objective Function Minimize the Scheduled Nurse Hours to meet the Required Shift HoursRequirement Day (i=1~7) 1 Monday Shift (j=1~7) 11 to 0 to 6 to 9 to 12 to 11 to 0 to
Portland - ETM - 540
Scheduled Nurse Hours for 2 Weeks Required Shift Hours for 2 Weeks928928Objective Function Minimize the Scheduled Nurse Hours to meet the Required Shift HoursRequirement Day (i=1~7) 1 Monday Shift (j=1~7) 11 to 0 to 6 to 9 to 12 to 11 to 0 to
Portland - EMGT - 540
Scheduled Nurse Hours for 2 Weeks Required Shift Hours for 2 Weeks928Objective Function Minimize the Scheduled Nurse Hours to meet the Required Shift Hours928M ink =1 i =1 j =140 45HrYij5 6 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Portland - ETM - 540
Scheduled Nurse Hours for 2 Weeks Required Shift Hours for 2 Weeks928Objective Function Minimize the Scheduled Nurse Hours to meet the Required Shift Hours928M ink =1 i =1 j =140 45HrYij5 6 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Portland - ETM - 540
St- Vincent Emergency Room Nurse SchedulingTeam # 2Bassam Abu-khater, Kevin Huang , Samir Said, Smud RobbanjerdProvidence Health Systemearly historyEstablished more than 150 years ago when a religious community of Catholic women was foun
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Nevada - CMB - 710
CMB 710 Molecular Cell Biology- April 21, 26, and 28 The Ins and Outs of Membrane Trafficking: Endocytosis and ExocytosisCynthia Corley Mastick, Instructor*note: The format of this section will be a lecture on background material on April 21st then
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CMB 710- Spring 2005The Ins and Outs of Membrane Trafficking1Protein Localization: Cytosolic (soluble enzymes) Organelles (mitochondria/chloroplast) Nuclear proteins (nuclear or cytosolic) Exocytic/endocytic pathway (ER, Golgi, endosomes, l
Nevada - CMB - 710
Your Name Goes HereMay 27, 2009Page 1Dynamic properties of APC-decorated microtubules in living cellsJournal Name, Vol.: page no, dateIntroduction: The adenomatous polyposis coli(APC) protein is a 312kDa proten that is the product of the tumo
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The secrets of a slime mold Dictyostelium discoideum, Dicty Protozoan: similarities to both plant and animals cell wall with cellulose (like plant/fungus) motile cells (like animal) cell movements in morphogenesis (like animal) forms spores (li
Nevada - CMB - 710
The secrets of a slime mold Dictyostelium discoideum, "Dicty" Protozoan: similarities to both plant and animals cell wall with cellulose (like plant/fungus) motile cells (like animal) cell movements in morphogenesis (like animal) forms spores (
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REPORTS17. J. P. Townsend, D. L. Hartl, Genome Biol. 3, research0071 (2002). 18. C. D. Meiklejohn, J. Parsch, J. M. Ranz, D. L. Hartl, unpublished data. 19. J. Andrews et al., Genome Res. 10, 2030 (2000). 20. W. R. Rice, A. K. Chippindale, Genetica
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Nevada - CMB - 710
K+ Channels60 40 20mV0 -20 -40 -60 -80 0 2 4 6 8 10msec PNa or PKPNa rises quickly then declines PK rises slowly, declines with repolarization 0 2 4 6 8 104/12/05, MCB610K Channel GatingK+ K+ K+ K+ K+ K+ K+OutsideInsideK+ K+ K+ K+ K
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K+ Channels4/12/05, MCB610K Channel GatingK+ K+K+ K+ K+ K+ K+OutsideInsideK K+ K+ +K+K+ K+ K+ K+ K+K+ K+-15 mV -60 mVElectrophysiology extracellular recording intracellular recording whole-cell recording single channel rec
Nevada - CMB - 710
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Nevada - CMB - 710
Regulation of Kv4.3 currents by Ca2+ /calmodulin-dependent protein kinase IIAm J Physiol Cell Physiol 288:304-313, 2005. First published Sep 29, 2004; doi:10.1152/ajpcell.00293.2004 You might find this additional information useful. This article cit
Nevada - CMB - 710
CommunicationMembers of the VAMP Family of Synaptic Vesicle Proteins Are Components of Glucose Transporter-containingVesicles from Rat Adipocytes"(Received for publication, March 19, 1992)THEJOURNAL BIOLOGICAL OF CHEMISTRY Vol. 267, No. 17, Issue
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Traffic 2001 2: 1925 Munksgaard International PublishersToolboxIn Vitro Assays of Vesicular TransportNeil R. Cook and Howard W. Davidson*Wellcome Trust Centre for Molecular Mechanisms in Disease, University of Cambridge, Wellcome Trust /MRC Bui
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THE JOURNAL OF BIOLOGICAL CHEMISTRY 2000 by The American Society for Biochemistry and Molecular Biology, Inc.Vol. 275, No. 4, Issue of January 28, pp. 2560 2567, 2000 Printed in U.S.A.Insulin-responsive Aminopeptidase Trafficking in 3T3-L1 Adipo
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MOLECULAR AND CELLULAR BIOLOGY, Jan. 2000, p. 416427 0270-7306/00/$04.00 0 Copyright 2000, American Society for Microbiology. All Rights Reserved.Vol. 20, No. 1Characterization of Insulin-Responsive GLUT4 Storage Vesicles Isolated from 3T3-L1 Ad
Nevada - CMB - 710
Cell, Vol. 21, 205215, August, 1980, Copyright 1980 by Cell PressIdentification of 23 Complementation Groups Required for Post-translational Events in the Yeast Secretory PathwayPeter Novick, Charles Field and Randy Schekman* Department of Biochem
Nevada - CMB - 710
Cell, Vol. 21, 205215, August, 1980, Copyright 1980 by Cell PressIdentification of 23 Complementation Groups Required for Post-translational Events in the Yeast Secretory PathwayPeter Novick, Charles Field and Randy Schekman* Department of Biochem
Nevada - CMB - 710
CMB710Membrane Potentials Resting and Action Potentials can be understood in terms of ion gradients, the Nernst equilibrium, and ion channels.Lecture #2Ionic GradientsTable 11-1 Na+ K+ Ca2+ H+ ClCytoplasm mM 5-15 140 1x10-4 10-7.2 5-15 145 5
Nevada - BIO - 475
Exam #1. BIOL 475 Neurobiology Sept 18, 2001. NAME_ Total = 50 pts. 1. Write brief definitions of the following concepts: (1 pt ea) a. reflex loop b. action potential c. neuromuscular junction d. Hox gene e. Node of Ranvier 2. Using the list below, f
Nevada - BIO - 475
Exam #2. BIOL 475 Neurobiology Oct 30, 2001. NAME_ Total = 100 pts. 1. T T T T T T T T Circle either T (True) or F (false). (8 pts) F L-dopa treatment prevents degeneration of dopaminergic neurons. F Depolarization of the presynaptic terminal causes
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Exam #1: Developmental Biology Feb. 23, 2000. NAME_ 1. Using the list below, fill in the term that most closely matches these definitions (1 pt ea): a. organization of spatial and temporal patterns of cell activities_ b. protein that regulates mRNA l
Nevada - BIO - 475
Biology 475/475 NeurobiologynDr Grant Mastick FA 311D, X6168 gmastick@unr.edu Send me an email:n Firstassignment will be sent by email on WednCourse website http:/med.unr.edu/homepage/gmastick/ BIO475page/index.htmlBIOL 475 Neurobiolo
Nevada - BIO - 475
Biology 475/475 NeurobiologynDr Grant Mastick FA 311D, X6168 gmastick@unr.edu Send me an email:nFirst assignment will be sent by email on WednCourse website http:/med.unr.edu/homepage/gmastick/ BIO475page/index.htmlBIOL 475 Neurobiolo
Nevada - BIO - 475
Neurobiology BIO 475/675Cell biology of neurons and gliaReview of cell structure and regulation or The neuron's problems, and some solutionsNeurobiology BIO 475/675Cell biology of neurons and glia A topic not covered well in the text Why neu
Nevada - BIO - 475
Neurobiology BIO 475Neural inductionA group of cells is instructed to develop into the nervous systemNeurobiology BIO 475Neural induction Chapter 19, pgs 430-434 During embryo development, where does the nervous system come from? Embryo ana
Nevada - BIO - 475
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Review for Neurobiology: Learning and memory: Define: classical conditioning, associative learning, behavioral plasticity. Draw and label a typical learning and memory curve. Define: temporal summation, synaptic enhancement, synaptic facilitation, sy
Portland - EMGT - 522
EMGT 522- Communication and Teambuilding Professor Milosevic Department of Engineering and Technology Management Spring 2004Selected Reading: ComTech CellularTeam 3Voraphol Attavavuthichai Johannes Berking Yuan-Chi Huang Phani Smud Robbanjerd.
Portland - ETM - 522
EMGT 522- Communication and Teambuilding Professor Milosevic Department of Engineering and Technology Management Spring 2004Selected Reading: ComTech CellularTeam 3Voraphol Attavavuthichai Johannes Berking Yuan-Chi Huang Phani Smud Robbanjerd.
Portland - EMGT - 522
Summary: It is inevitable to have effective team leaders who foster the growth and acceleration of New Product Development for high technology firms. Various strategies and required nature of transformation in existing management and team leaders are
Portland - ETM - 522
Summary: It is inevitable to have effective team leaders who foster the growth and acceleration of New Product Development for high technology firms. Various strategies and required nature of transformation in existing management and team leaders are
University of Illinois, Urbana Champaign - STAT - 420
THE UNIVERSITY OF ILLINOIS Department of StatisticsSTATISTICS 420 Statistical Methods Fall 2006Instructor information: Hernando Ombao, Ph.D. Associate Professor 117 Illini Hall Webpage: www.uiuc.edu/ombao Oce hours: Tuesdays (12 : 30 1 : 30 pm) a
University of Illinois, Urbana Champaign - STAT - 420
73.5 71.0 68.0 061.4 63.8 59.8 170.0 58.0 65.0 070.5 71.3 66.1 070.0 71.0 63.0 072.0 74.0 64.0 0 65.0 72.8 65.4 166.9 66.9 63.0 072.0 75.0 71.0 170.0 67.0 62.0 072.0 73.0 64.0 074.0 73.0 65.0 060.0 59.0 63.0 171.0 69.0 64.0 063.0 65.0 6
University of Illinois, Urbana Champaign - STAT - 420
# Chapter 3# Statistical Inference ## Comparing models## Example 1. N = 25;X = seq(-10, 10, length=N);trueline = -5 + 1*X;Y = trueline + rnorm(N,0,1);plot(X,Y)lines(X, trueline, col=2); # Model 1: Y = beta0 + beta1*X + errorout1 = l
University of Illinois, Urbana Champaign - STAT - 420
# Chapter 3# Statistical Inference ## Forming Confidence intervals/ellipsoids## Example 1: 95% Confidence interval for muN = 25; mu = 10; sigma=4;data1 = rnorm(N, mu, sigma);sampmean = mean(data1);stderr = sigma/sqrt(N);loconf = sampmean
University of Illinois, Urbana Champaign - STAT - 420
THE UNIVERSITY OF ILLINOIS Department of StatisticsSTATISTICS 420 Fall 2006 Homework 4: Due 07 November 2006, on or before the end of class. No late homework will be accepted. Show complete and detailed solution to get full credit. 1. Use the teenga
University of Illinois, Urbana Champaign - STAT - 420
# Logistic Regression # The probability function beta0 = 5;beta1 = 0.5;x = seq(-20,10,length=50);temp = exp(beta0 + beta1*x);prob = temp/(1 + temp);par(mfrow=c(1,1);plot(x, prob, type="l", lwd=2, xlab="x", cex=2.0, ylab="P(Y=1 | x)");title
University of Illinois, Urbana Champaign - STAT - 420
# One-Way Analysis of Variance # Example. Blood coagulation time data setlibrary(faraway)# load the gala data setdata(coagulation)coagulation# boxplotspar(mfrow=c(1,2);plot(coag ~ diet, coagulation, ylab="coagulation time")with(coagulatio