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CSU LA - BIOL - 520
ANTIMICROBIAL AGENTS AND CHEMOTHERAPY, Nov. 2006, p. 35193528 0066-4804/06/$08.00 0 doi:10.1128/AAC.00545-06 Copyright 2006, American Society for Microbiology. All Rights Reserved.Vol. 50, No. 11MINIREVIEWImpact of Melanin on Microbial Virulenc
CSU LA - BIOL - 520
Downloaded from gut.bmj.com on 19 December 2008The role of the sympathetic nervous system in intestinal inflammationR H Straub, R Wiest, U G Strauch, P Hrle and J Schlmerich Gut 2006;55;1640-1649 doi:10.1136/gut.2006.091322Updated information an
CSU LA - BIOL - 520
Modulatory Functions of MSH Neuropeptide in the Immune SystemSaray Felix Department of Biological Sciences California State University Los Angeles Winter 2009EvolutionProkaryotes Eubacteria (true bacteria) Archaeabacteria Protists Fun
CSU LA - BIOL - 520
Nadine Rodriguez February 02, 2009 Biol 520 Automatic regulation system Branch of the Autonomic nervous system 2 sets of nerve bodies Active at basal level Preganglionic in the CNS Postganglionic, which leads to effector organ More act
CSU LA - BIOL - 520
Glucocorticoids And Their Effects On The Innate Immune System Of The CNSKevin Taliaferro Bio 520 Presentation Feb 25, 2009Glucocorticoids: The HPA axis(Glezer, 2004)Inflammatory Signaling in Microglia(Glezer, 2004)Chronic inflammation and
Berkeley - CS - 267
CUDACUDA-based Rendering of 3D Minkowski SumsCS267 Project j Wei LiBackground and Motivation g Minkowski sum C = A B = {a + b | a A, b B}= 3D Minkowski sum O( 3n3) complexity for concave objects O(m l it f bj t Existing computation al
Berkeley - CS - 267
Towards a Parallel Implementation of The Growing String MethodStephen ElkindTransition State Finding Algorithms Utilize electronic structure calculations to determine potential energy surface and deduce reaction mechanisms and rates. Transiti
Berkeley - CS - 267
Replica Exchange Molecular Dynamics (REMD) for Amber's Particle-Mesh Ewalds MD (PMEMD) codeLia Ball Teresa Head-Gordon GroupGoal: Converging A monomer Molecular Dynamics simulations Use Amber ff99SB force field and TIP4P-ew explicit water model
Berkeley - CS - 267
Parallel POPCycle Implementation Ben Steffen- Integrative BiologyCS267: Applications of Parallel Computers-Spring 2009Abstract:This project involved implementing a parallel version of POPCYCLE, an individual-based model of the population dynamics
Berkeley - CS - 267
<?xml version="1.0" encoding="UTF-8"?> <Error><Code>NoSuchKey</Code><Message>The specified key does not exist.</Message><Key>bcd024ab1e49745216b0f8577569b8dec0de06ea.pptx</Key><RequestId> CE8709E7E6121B12</RequestId><HostId>jQNQ9r9NQWX6BtcCvNUaurqE0N
Berkeley - CS - 267
FUTURE TECHNOLOGIES GROUPAuto-tuning Memory Intensive Kernels for MulticoreSam WilliamsSWWilliams@lbl.gov1OutlineFUTURE TECHNOLOGIES GROUP1. 2. 3. 4. 5. 6. 7.Challenges arising from Optimizing Single Thread Performance New Challenges Ari
Berkeley - CS - 267
CS 267 Tricks with TreesJames Demmelwww.cs.berkeley.edu/~demmel/cs267_Spr0902/11/2009CS267 Lecture 7+1Outlin e log n lower bound to compute any function in parallel A Reduction and broadcast in O(log n) time Parallel prefix (scan) in O
Santa Clara - COEN - 150
Access Control Mechanisms and Security ModelsHow does the computer enforce access policy?Readings EROS essays on capabilities (instead of accesslists) http:/www.eros-os.org/essays/00Essays.htmlAccess Control: Mechanisms and Models Dual mo
Santa Clara - COEN - 150
Encryptiononly the basicsReading Assignment Why crypto is hard http:/www.counterpane.com/whycrypto.html Encryption wars: earlyhttp:/www.spectrum.ieee.org/pubs/spectrum/0400/enc.html Encryption wars: shifting tacticshttp:/www.spectrum.ieee.
Santa Clara - COEN - 150
Viruses, Worms and other Malicious CodeReadings buffer overflow attack http:/www.insecure.org/stf/smashstack.txt Java Security http:/www.cs.princeton.edu/sip/faq/java-faq.php3 Security 101 (this company is trying to sell you something) http:/www
Santa Clara - COEN - 150
1The Present and Future of Electronic Payment SystemsVivek Reddy vjreddy@scu.edu Coen 150 5/17/042 Abstract. Electronic commerce and electronic business are the inevitable mediums of exchange in an increasingly wired world. To better understand
Santa Clara - COEN - 150
Biometrics: Voice RecognitionJustin Eng Coen150Outline of PresentationIntroduction to voice biometrics The history of voice recognition and its milestones How voice biometric works Benefits and problems that voice recognition encounters Current
Santa Clara - COEN - 150
INFORMATION ASSURANCE PROJECT Firewalls: An Important Component in Computer Systems SecurityProject Prepared for COEN 150 Information Assurance Instructor: Dr. JoAnne Holliday Date of Submission: May 17, 2004by Bao Ming SohTable of ContentsSe
Santa Clara - COEN - 150
FIREWALLSAn Important Component in Computer Systems SecurityBy: Bao Ming Soh What is a Firewall hardware, software, or a combination of both, that isolates an internal network from the Internet. filters information, allowing some pac
Santa Clara - COEN - 150
HIPPA and the GLB: The Information Security and the LawMark Goodell Holliday 5-17-04AbstractThis paper looks at the Gramm-Leach-Bliley Financial Modernization Act (GLB) and the Health Insurance Portability and Accountability Act (HIPPA), passed
Santa Clara - COEN - 150
HIPAA and the GLBConnections Between Congress and Information AssuranceThe Basics HIPAA passed in 1996 Regulation authority by Health and Human Services Privacy rule in effect in 2003 Security rule in effect 2005 GLB passed in 1999 Scope is
Santa Clara - COEN - 150
Biometrics Analysisby Adam Skogrand Evan McLean Mathew EdwardsMay 17, 2004 COEN 150 Information Assurance Dr. HollidayAbstract This paper covers the use of three different biometric authentication technologies and compares the effectiveness of e
Santa Clara - COEN - 150
802.11 Wireless Networking and SecurityCoen 150 Project May 17, 2004 Robert Whitmire Noeau KamakaniChapter 1: What is Wireless Networking? In this technologically advanced era, computer users are finding easier and more efficient ways to connect
Santa Clara - COEN - 150
802.11 Wireless Insecurity By: No'eau Kamakani Robert Whitmire OutlineBackground Security Features Attacks Demonstrations Conclusion Background Wireless Definitions802.11 WiFi 802 = LANs (Local Area Network) 11 = Wir
Santa Clara - COEN - 150
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Santa Clara - COEN - 150
vti_encoding:SR|utf8-nl vti_timelastmodified:TR|28 Apr 2004 18:05:12 -0000 vti_extenderversion:SR|4.0.2.2717 vti_cacheddtm:TX|28 Apr 2004 18:05:12 -0000 vti_filesize:IR|111616 vti_cachedlinkinfo:VX| vti_cachedsvcrellinks:VX| vti_cachedtitle:SR|Design
Santa Clara - COEN - 150
vti_encoding:SR|utf8-nl vti_timelastmodified:TR|02 Apr 2004 00:26:54 -0000 vti_extenderversion:SR|4.0.2.2717 vti_filesize:IR|305664 vti_title:SR|Topics in Information Security vti_assignedto:SR| vti_approvallevel:SR| vti_backlinkinfo:VX|coen150sp04/c
Santa Clara - COEN - 150
vti_encoding:SR|utf8-nl vti_timelastmodified:TR|04 May 2004 20:45:50 -0000 vti_extenderversion:SR|4.0.2.2717 vti_cacheddtm:TX|04 May 2004 20:45:50 -0000 vti_filesize:IR|152064 vti_cachedlinkinfo:VX| vti_cachedsvcrellinks:VX| vti_cachedtitle:SR|Legal
Santa Clara - COEN - 150
vti_encoding:SR|utf8-nl vti_timelastmodified:TR|28 Apr 2004 18:13:12 -0000 vti_extenderversion:SR|4.0.2.2717 vti_backlinkinfo:VX|coen150sp04/coen150sp04.htm vti_cacheddtm:TX|28 Apr 2004 18:13:12 -0000 vti_filesize:IR|60416 vti_cachedlinkinfo:VX| vti_
Santa Clara - COEN - 150
vti_encoding:SR|utf8-nl vti_timelastmodified:TR|18 May 2004 14:56:44 -0000 vti_extenderversion:SR|4.0.2.2717 vti_cacheddtm:TX|18 May 2004 14:56:44 -0000 vti_filesize:IR|108544 vti_cachedlinkinfo:VX|H|mailto:Vjreddy@scu.edu vti_cachedsvcrellinks:VX|NH
Santa Clara - COEN - 150
<?xml version="1.0" encoding="UTF-8"?> <Error><Code>NoSuchKey</Code><Message>The specified key does not exist.</Message><Key>1b09f066773279d28717cc26af7dabb77dbb50f5.ppt</Key><RequestId>9 5270AA23A45EB9B</RequestId><HostId>sV22w+C1FKG+CHzK8UdGpxCSK4K
Santa Clara - COEN - 150
vti_encoding:SR|utf8-nl vti_timelastmodified:TR|21 May 2004 04:18:20 -0000 vti_extenderversion:SR|4.0.2.2717 vti_cacheddtm:TX|21 May 2004 04:18:20 -0000 vti_filesize:IR|121344 vti_cachedlinkinfo:VX| vti_cachedsvcrellinks:VX| vti_cachedtitle:SR|PowerP
Santa Clara - COEN - 150
vti_encoding:SR|utf8-nl vti_timelastmodified:TR|23 May 2004 15:39:20 -0000 vti_extenderversion:SR|4.0.2.2717 vti_cacheddtm:TX|23 May 2004 15:39:20 -0000 vti_filesize:IR|24576 vti_cachedlinkinfo:VX| vti_cachedsvcrellinks:VX| vti_cachedtitle:SR|Erich C
Santa Clara - COEN - 150
vti_encoding:SR|utf8-nl vti_timelastmodified:TR|23 May 2004 18:36:36 -0000 vti_extenderversion:SR|4.0.2.2717 vti_cacheddtm:TX|23 May 2004 18:36:36 -0000 vti_filesize:IR|1054208 vti_cachedlinkinfo:VX|H| http:/searchnetworking.techtarget.com/sDefinitio
Santa Clara - COEN - 150
vti_encoding:SR|utf8-nl vti_timelastmodified:TR|18 May 2004 09:34:42 -0000 vti_extenderversion:SR|4.0.2.2717 vti_cacheddtm:TX|18 May 2004 09:34:42 -0000 vti_filesize:IR|171520 vti_cachedlinkinfo:VX|H|http:/www.siliconvalley.com/mld/siliconvalley/4332
Santa Clara - COEN - 150
vti_encoding:SR|utf8-nl vti_timelastmodified:TR|19 May 2004 03:05:56 -0000 vti_extenderversion:SR|4.0.2.2717 vti_cacheddtm:TX|19 May 2004 03:05:56 -0000 vti_filesize:IR|648192 vti_cachedlinkinfo:VX| vti_cachedsvcrellinks:VX| vti_cachedtitle:SR|Biomet
Santa Clara - COEN - 150
vti_encoding:SR|utf8-nl vti_timelastmodified:TR|24 May 2004 10:19:06 -0000 vti_extenderversion:SR|4.0.2.2717 vti_cacheddtm:TX|24 May 2004 10:19:06 -0000 vti_filesize:IR|152576 vti_cachedlinkinfo:VX|H|http:/foldoc.doc.ic.ac.uk/foldoc/contents/security
East Los Angeles College - AC - 931
Essex Business School, AC 931AC 931 Portfolio Management Lecture 1George Dotsis Room 5S.7.12 Tel: 01206 874261 Email: gdotsis@essex.a
East Los Angeles College - AC - 931
Lecture 8: Market EfficiencyOutline: Lecture outline: What is market efficiency? How is efficiency tested for? Weak Form Semi-Strong Strong Summary Reading RB Ch 6, CN Ch 3, EG Ch 17, SAB Ch 41Definitions of Market Efficiency Efficient mar
Uni. Worcester - MME - 518
Sonya Kuokkanen Beverly MacLeod Laura Robinson Project 2Contour Lines: IntroductionObjective: By the end of this lesson the students should understand what a contourline is and how to use it.Methodology:1. What is a Contour? Define as a line t
Virginia Tech - CS - 3414
\centerline{\bf Spline (a.k.a. piecewise polynomial) representations.}Consider the case of a piecewise cubic polynomial $g(x)$ withbreakpoints $\xi_1<\xi_2< \cdots<\xi_{n+1}$.\medskip\noindent{\bf (1) Polynomial coefficients} $c_{ji}$, $1\le i\l
Virginia Tech - CS - 3414
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Virginia Tech - CS - 3414
\centerline{\bfXII FLOATING POINT ARITHMETIC}\bigskipA (nonzero, normalized) base $\beta$, $t$-digit floating point numberhas the mathematical representation $\pm.d_1d_2\cdots d_t\times\beta^e,$ where $m\le e\le M,\qquad 1\le d_1\le\beta-1, \qqua
Virginia Tech - CS - 3414
\centerline{\bf CS/MATH 3414 Lab \# 1}\bigskipIn 250 B. C. E., the Greek mathematician Archimedes estimated thenumber $\pi$ as follows. He looked at a circle with diameter 1, andhence circumference $\pi$. Inside the circle he inscribed a square.
Virginia Tech - CS - 3414
%!PS-Adobe-2.0 %Creator: dvipsk 5.58f Copyright 1986, 1994 Radical Eye Software %Title: cs3414S97.dvi %Pages: 2 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: /usr/local/tex3.1415/bin/dvips -pp 5-6 -o %+ cs3414S97.ps cs3
Virginia Tech - CS - 3414
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Virginia Tech - CS - 3414
%!PS-Adobe-2.0 %Creator: dvipsk 5.58f Copyright 1986, 1994 Radical Eye Software %Title: cs3414S97.dvi %Pages: 2 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: /usr/local/tex3.1415/bin/dvips -pp 18-19 -o %+ cs3414S97.ps c
Virginia Tech - CS - 3414
%!PS-Adobe-2.0 %Creator: dvipsk 5.58f Copyright 1986, 1994 Radical Eye Software %Title: cs3414S97.dvi %Pages: 1 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: /usr/local/tex3.1415/bin/dvips -pp 23-23 -o %+ cs3414S97.ps c
Virginia Tech - CS - 3414
\centerline{\bf CS/MATH 3414 Lab \# 8}\bigskip\item {(5) 1.}(Problem 4.12, page 156 in Shampine, Allen, and Pruess.) For turbulent flow of fluid in a smooth pipe, the equation$1=\sqrt{c_f}\bigl(-0.4+1.74 \ln(\hbox{Re}\sqrt{c_f})\bigr)$ models th
Virginia Tech - CS - 3414
%!PS-Adobe-2.0 %Creator: dvipsk 5.58f Copyright 1986, 1994 Radical Eye Software %Title: cs3414S97.dvi %Pages: 2 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: /usr/local/tex3.1415/bin/dvips -pp 24-25 -o %+ cs3414S97.ps c
Virginia Tech - CS - 3414
%!PS-Adobe-2.0 %Creator: dvipsk 5.58f Copyright 1986, 1994 Radical Eye Software %Title: cs3414S97.dvi %Pages: 2 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: /usr/local/tex3.1415/bin/dvips -pp 27-28 -o %+ cs3414S97.ps c
Virginia Tech - CS - 3414
%!PS-Adobe-2.0 %Creator: dvipsk 5.58f Copyright 1986, 1994 Radical Eye Software %Title: cs3414S97.dvi %Pages: 2 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: /usr/local/tex3.1415/bin/dvips -pp 29-30 -o %+ cs3414S97.ps c
Virginia Tech - CS - 3414
%!PS-Adobe-2.0 %Creator: dvipsk 5.58f Copyright 1986, 1994 Radical Eye Software %Title: cs3414S97.dvi %Pages: 3 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: /usr/local/tex3.1415/bin/dvips -pp 32-34 -o %+ cs3414S97.ps c
Virginia Tech - CS - 3414
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Virginia Tech - CS - 3414
%!PS-Adobe-2.0 %Creator: dvipsk 5.58f Copyright 1986, 1994 Radical Eye Software %Title: nanotes.dvi %Pages: 4 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: /usr/local/tex3.1415/bin/dvips -p 47 -o nanotes.ps %+ nanotes.d
Virginia Tech - CS - 3414
%!PS-Adobe-2.0 %Creator: dvipsk 5.58f Copyright 1986, 1994 Radical Eye Software %Title: cs3414S97.dvi %Pages: 3 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: /usr/local/tex3.1415/bin/dvips -pp 1-3 -o %+ cs3414S97.ps cs3
Virginia Tech - CS - 3414
\magnification=1095\parindent=30pt \parskip=4pt plus 4pt minus 4pt %\hsize=5.41in \vsize=7.5in %for magnification=1200 \hsize=5.91in \vsize=8.18in %for magnification=1095\baselineskip=13pt plus 2pt minus 1pt \lineskiplimit=2pt\lineskip=2
Illinois State - ASHARM - 478
Database securityWhen the threat is real and the stakes are high04/27/04Abhilasha Sharma1Outline for the presentation The topic justification Different ways to attack a database Potential threats Security features Oracle 9i IBM DB2 M
Illinois State - ASHARM - 463
Assignment 4 ITK 463Abhilasha Sharma 02/23/04Activity 4 Project/Application Function Point Calculation Worksheet Project A/Problem # 1 May want to use pencil to record your answers. Function Types Internal Logical Files #s Complexity Weights Comp
Syracuse - CSE - 776
AbstractFactoryPatternJimFawcett Su2001IntentProvideaninterfaceforcreatingfamiliesofrelatedordepen dentobjectswithoutspecifyingtheirconcreteclasses. provideasimplecreationalinterfaceforacomplexfamilyofclasses Clientdoesnothavetoknowanyofthose