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-56.080000 -65.200000 338.51669 105.70273 -56.080000 -51.520000 612.51263 149.00922 -51.520000 -48.480000 673.81094 182.51587 -48.480000 -34.800000 266.73689 85.794927 -34.800000 -30.240000 503.92171 149.18649 -30.240000 -25.680000 456.01589 149.17298 -25.680000...
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-56.080000 -65.200000 338.51669 105.70273
-56.080000 -51.520000 612.51263 149.00922
-51.520000 -48.480000 673.81094 182.51587
-48.480000 -34.800000 266.73689 85.794927
-34.800000 -30....
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Berkeley - ASTRO - 00303105
-65.200000 -56.080000 338.51669 105.70273 -56.080000 -51.520000 612.51263 149.00922 -51.520000 -48.480000 673.81094 182.51587 -48.480000 -34.800000 266.73689
Berkeley - ASTRO - 00303105
# Time [days] Mag Magerr Band Uplim Ref -0.2 r no GCN7304 15.2 -0.2 H no GCN7302 0.00127 17.8 0.1 V no GCN7307 0.0
Berkeley - ASTRO - 00303105
-17280 r 0 GCN7304 494.208 17.77 0.15 Rc no 1554.34 18.77 0.14 Rc no 2674.94 19.88 0.1 Rc no 5044.03 20.5 0
Berkeley - ASTRO - 00303105
494.208 3.481374e-04 4.809696e-05 Rc no 1554.34 1.385960e-04 1.787123e-05 Rc no 2674.94 4.985982e-05 4.592259e-06 Rc no 40951 2.136735e-05 3.936012e-06
Berkeley - ASTRO - 00303105
5044.03 2.816766e-05 5.188674e-06 Rc yes 45849.9 2.816766e-04 5.188674e-05 R yes
Berkeley - ASTRO - 00303105
7.5999985 71.440002 5.6140400 0.32448903 109.50004 71.440002 77.520004 34.570710 -6.4419735 38.802442 77.520004 136.80000 3.7184004 0.60269876 81.392333
Berkeley - ASTRO - 00303105
<html><head><title>Your NED Search Results</title></head><body background="/pics/NEDbgHelp.gif" bgcolor="#FFFFFF"><center><font size=6 color="#CC3333"><b>N</b></font><font size=4 color="#000000"><b>ASA/IPAC</b></font>&nbsp;<font size=6 color="#CC
Berkeley - ASTRO - 00303105
114.32 114.435 174.818 42.0318114.435 114.622 113.585 26.5531114.622 114.8 128.167 29.4515114.8 114.887 117.55 39.1834114.887 115.119 91.5536 21.4027115.119 115.264 81.381 26.2141115.264 115.355 121.028 39.6739115.355 115.433 151.285 48.73131
Berkeley - ASTRO - 00303105
0.230000 0.250000 4.336678e-03 1.124264e-03 3.418415e-050.250000 0.270000 4.758042e-03 1.166504e-03 3.477643e-040.270000 0.290000 6.404948e-03 1.329189e-03 1.235325e-030.290000 0.310000 5.271557e-03 1.162580e-03 2.197436e-030.310000 0.330000 6.19
Berkeley - ASTRO - 00303105
0.000003 0.005000 1.468790e+000.005000 0.010000 1.790604e-010.010000 0.015000 1.458392e-010.015000 0.020000 1.277608e-010.020000 0.025000 1.155537e-010.025000 0.030000 1.064398e-010.030000 0.035000 9.921900e-020.035000 0.040000 9.326792e-020.
Berkeley - ASTRO - 00303105
output00303105000_999/sw00303105000xpcw2po_cl.evtoutput00303105000_999/sw00303105000xpcw3po_cl.evtoutput00303105001_999/sw00303105001xpcw2po_cl.evtoutput00303105002_999/sw00303105002xpcw2po_cl.evtoutput00303105002_999/sw00303105002xpcw3po_cl.evt
Berkeley - ASTRO - 00303105
<?xml version="1.0" encoding="UTF-8"?><Error><Code>NoSuchKey</Code><Message>The specified key does not exist.</Message><Key>98be1f4bb7da082229362d63731b4adcfa3769df.txt</Key><RequestId>D27702279023231A</RequestId><HostId>v+HXS/vq9Mh0EJvL4ggF1Gn0qm99
Berkeley - ASTRO - 00303105
# tmin tmax 0.480535 195.623 [ksec];instrument XRT;exposure 38989.800;xunit kev;bintype counts0.000000 0.010000 0.000000 0.0000000.010000 0.020000 0.000000 0.0000000.020000 0.030000 0.000000 0.0000000.030000 0.040000 0.000000 0
Berkeley - ASTRO - 00303105
; Instrument bat; Exposure 9384.000000; xunit keV; bintype counts 0.00000 10.0000 1.1112134 1.2606338 10.0000 12.0000 -0.018390765 1.0827598 12.0000 14.0000 -0.16643782 1.95
Berkeley - ASTRO - 00303105
# tmin tmax 0.114320 9.49832 [ksec];instrument XRT;exposure 374.58543;xunit kev;bintype counts0.000000 0.010000 0.000000 0.0000000.010000 0.020000 0.000000 0.0000000.020000 0.030000 0.000000 0.0000000.030000 0.040000 0.000000 0
Berkeley - ASTRO - 00303105
SIMPLE = T / file does conform to FITS standardBITPIX = 8 / number of bits per data pixelNAXIS = 0 / number of data axesEXTEND = T / FITS dataset may contain extensio
Berkeley - ASTRO - 00303105
# Ep dEp lprob lEiso dlEiso74.081 0.058 -1.45e-05 -9.751 0.06574.143 0.066 1.09e-03 -9.751 0.06574.214 0.076 2.31e-03 -9.751 0.06574.296 0.087 3.62e-03 -9.751 0.06574.389 0.100 5.03e-03 -9.701 0.07574.496 0.114 6.52e-03 -9.701 0.07674.618 0.13
Berkeley - ASTRO - 00303105
# Ep lEiso51.191 -9.64352.778 -9.93956.031 -9.71056.896 -9.74257.356 -9.83158.108 -9.92058.447 -9.69058.745 -9.64259.204 -9.90759.222 -9.90459.545 -9.81559.935 -9.85160.060 -9.72360.318 -9.77860.570 -9.71560.674 -9.67961.124 -9.7846
Berkeley - ASTRO - 00303105
# Ep dEp lprob lNiso dlNiso74.081 0.058 -1.45e-05 7.348 0.18274.143 0.066 1.09e-03 7.348 0.18174.214 0.076 2.30e-03 7.348 0.18174.296 0.087 3.63e-03 7.348 0.18174.389 0.100 5.03e-03 7.348 0.18174.496 0.114 6.51e-03 7.348 0.18174.618 0.131 8.06
Berkeley - ASTRO - 00303105
# Ep lNiso51.170 7.29152.755 7.12556.026 7.56356.889 7.50757.348 7.31358.104 7.11158.442 7.64058.741 7.75459.199 7.22859.217 7.14559.540 7.35259.932 7.25860.057 7.55560.316 7.41660.567 7.28560.671 7.08061.121 7.37561.193 7.54261.36
Berkeley - ASTRO - 00303105
# tmin tmax 10.0000 195.62343 [ksec];instrument XRT;exposure 36108.142;xunit kev;bintype counts0.000000 0.010000 0.000000 0.0000000.010000 0.020000 0.000000 0.0000000.020000 0.030000 0.000000 0.0000000.030000 0.040000 0.00000
Oregon State - CS - 532
3 S % C C 'I U TFd @fHRQPHG F E A DCC8"f d f A @ 8 7 & 5dydy} B 9 1 7 6 3 0 3 1 0 ) ' % # 42&(&$y" i" ! p f y}fy}dff
Auburn - COMP - 6620
AnthropomorphismAchilles J. Hamilothoris Comp 6620 11 October 20071Anthropomorphism Objectives Define Anthropomorphism Give some examples Pros/cons2Anthropomorphism The term is derived from two Greek words, (anthrpos), meaning human, a
Oregon State - CS - 461
#%-12345X@PJL JOB @PJL SET RESOLUTION = 1200 @PJL SET ECONOMODE = OFF @PJL ENTER LANGUAGE = POSTSCRIPT %!PS-Adobe-3.0 %Title: Microsoft Word - CS461RequirementsDocumentEval.doc %Creator: PScript5.dll Version 5.2 %CreationDate: 2/25/2003 12:0:6 %For:
Auburn - COMP - 6620
Persuasive TechnologiesMichael FullerPersuasion Technologies being used to draw people's attention to certain kinds of information in an attempt to change what they do or think. Stop Smoking, Buy this, Do ThatThe Past In the past persuasion w
Auburn - COMP - 6620
Chapter 7IdentifyingNeedsandEstablishing RequirementsMarieKraska XiaomingLi EricaMoore MichaelSalyer1Overview Theimportanceofrequirements Differenttypesofrequirements Datagatheringtechniques Taskdescriptions: Scenarios UseCases Essent
Oregon State - ENGR - 430
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Oregon State - ENGR - 430
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Oregon State - ENGR - 430
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Oregon State - ENGR - 430
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Oregon State - ENGR - 430
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Oregon State - ENGR - 430
#Y#9#ch14.ps#:koH2Wao Y`mEY ;#c <# f\C080#e"K#JvoARv<pN*#~z| :# F #* ?,]l}7{m&O9#|9+W: t + f7zZ)L#M{# z^#?fz#?j/ \wr ]lbFGol :fvK#o#z+.sW5<lsKwcOO# ^+ > ]K ,Z";`FKz]8 g2C5# cu7=*k295I Q n f6oz<#5 w. #NEzZhKU#>#\4_92#`T #\7S}u &# }]wr_! rEU#hK# _
Oregon State - ENGR - 430
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Oregon State - ENGR - 430
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Oregon State - ENGR - 430
#9#ch17.ps#% ( #x#xUY#oc#\,z7Z%y 'IO#3* R! #d#?_/#22|#?|#vs fxN?/}{#}| Oo|/lx?m#|~ ~ #x go>|w7w_Wf#~o?M8w#no#? #?Z_g5 >#zf_}# /~#uTssxx x x x9 YY7S#_V?33zz #? O#~9#7#_| #97_xs{#n\#_#7#Wg\~ ggzz z / 7 o?}~#o> w #$ #7_ 7 #~8K f#n v#}A/ 0U66#
Oregon State - ENGR - 430
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Oregon State - ENGR - 430
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Oregon State - ENGR - 430
#9#ch19.ps#:o n}KLZ %#{E#E:#{E#rc{e'M.#bF#pIIy;=y= | OFS~vYe#of$#~WjZO7 ~Ur^NV#&#[3aY#oo^r~ ~ ~ "z\_o#^h#v#.6 [#F6?p_nX-vO# b#\nsdW>YtX9o"o>6zzs7v kf@Zn CaM& 5#f6/~86#59#^#0#Zp#\|yi K=R:|}Swj_nj5w -mNn#BegS# v#T^#r" OS{b}REzVV#\] P{| xZ#t#8#M
Oregon State - ENGR - 430
# # 9#ch19-belief-nets.ps# # ( Oq6 #{v7a#&1{cC 5t %z7 $ #3 *{lO#UI#A #A wK# #}?~? #_^#w}:t7#y#o# #_#_|F97x _lf_| {# #_}5o?<>| ~av ^ xpN\w/~ R? taFNo_ _#zI\#o# c_s2=| #_e#nn/ W>~#^~}# ow O /y#_kwx<iA|uZ~? ~#_ _t{}#tF#o>#>:t_#. /g#d o~x>_#o;|o
Oregon State - CS - 472
Chapter 4: Arithmetic Where we've been: Performance (seconds, cycles, instructions) Abstractions: Instruction Set Architecture Assembly Language and Machine Language What's up ahead: Implementing the Architectureoperationa32ALUresult32
Oregon State - CS - 472
Chapter 5: The Processor: Datapath & Control We're ready to look at an implementation of the MIPS Simplified to contain only: memory-reference instructions: lw, sw arithmetic-logical instructions: add, sub, and, or, slt control flow instructions
Arkansas State - CIT - 6483
ERP by Mary SumnerChapter 1 Table 1 -1 Historical Evolution of ERP SystemsIndependent vs. Dependent DemandIndependent Demand (Demand for the final endproduct or demand not related to other items) use forecasting)Finished productE(1 )Compon
Arkansas State - CIT - 6483
HOW GREAT PLAINS BE A T S MAS 90/200COMPARATIVE ANALYSIS & REVIEWBy J. Carlton Collins, ASA ResearchMarch, 2005WWW.ASARESEARCH.COMCOMPETITIVE ANALYSIS AND REVIEWHOW GREAT PLAINS BEATS MAS 90/200 TABLE OF CONTENTSIntroduction & Scope of W
Arkansas State - CIT - 6483
Time Year Qtr Period 2002 1 1 2 2 3 3 4 4 2003 1 5 2 6 3 7 4 8 2004 1 9 2 10 3 11 4 12 2005 1 13 2 14 3 15 4 16 2006 1 17 2 18 3 19 4 20 alpha beta gammaActual Sales $684.2 $584.1 $765.4 $892.3 $885.4 $677.0 $1,006.6 $1,122.1 $1,163.4 $993.2 $1,312
Oregon State - ENGR - 430
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MD University College - COMM - 393
Grading Criteria for a Scholarly AbstractName: Points: Grade:A (90-100) Performance exceeds expectations. B (80-89) Performance successfully meets expectations. C (70-79) Performance does not meet expectations. F (69- ) Performance falls serious
MD University College - COMM - 393
Example of a Graphic for Use in Small Assignment: Integrating a Graphic into the Text of Your Report Here is a bar graph of the perceived audience for the Facebook profiles of 800 Michigan State University students. The source of the graph is Ellison
MD University College - COMM - 600
First Words of Title 1Running Head: ABBREVIATED TITLETitle of Your Paper Your Name University of Maryland University Collegesychological Associat ion. (2001). Publ i cati on manual of the Amer i can Psychol ogi cal Associ ati on (5t h ed.). Cit
MD University College - COMM - 600
First Words of Title 1Title of Your Paper Your Name University of Maryland University Collegean Psychological Association. (2001). Publication manual of the American Psychological Association (5th ed.). City placeWasument. 010009000003780000000
MD University College - COMM - 600
Using Tables and Figures in an Academic Research PaperCOMM 600 Dr. Nancy HoaglandPurpose of this LectureBasic information about the effective use of tables and figures. See the APAPublication Manualfor detailed guidelines on creating tabl
MD University College - COMM - 600
Mini-Lecture: Using Feedback to Improve Your WritingBy now should have received feedback on your academic research paper from your teacher and from a colleague. You will have an opportunity to revise your paper to receive a better grade and also to
MD University College - COMM - 600
Name: Rubric for Scholarly AbstractGrade:Write a scholarly abstract (150-200 words) of a journal article in your field of study. Grading Scale: F (-69); C (70-79); B (80-89); A (90-100) Low Performance At or Below Average At or Above Average Exemp
MD University College - COMM - 600
Name: Rubric for Weekly Online ConferencesGrading Scale: F (0-4 ); C (5); B (6); A (7)Grade:(Note: 14 weeks x 7 points = 98 points; Introduction = 2 points for a total of 100 points for the Course Participation Grade) Low Performance At or Below
Georgia Tech - CS - 6660
%!PS-Adobe-3.0 %BoundingBox: (atend) %Pages: (atend) %PageOrder: (atend) %DocumentFonts: (atend) %DocumentNeedsFonts: (atend) %DocumentSuppliedFonts: (atend) %Creator: Frame 5.5 %DocumentData: Clean7Bit %EndComments %BeginProlog % % Frame ps_prolog 5
Georgia Tech - CS - 6660
Intelligent Agents MotivationHuman Being Nilsson - Chapter 1 (Russell and Norvig - Chapters 1 and 2)senseactNOTE different people have different opinions about what artificial intelligence is all about these slides contain my opinionsEnviron
Georgia Tech - CS - 6660
%!PS-Adobe-3.0 %BoundingBox: (atend) %Pages: (atend) %PageOrder: (atend) %DocumentFonts: (atend) %DocumentNeedsFonts: (atend) %DocumentSuppliedFonts: (atend) %Creator: Frame 5.5 %DocumentData: Clean7Bit %EndComments %BeginProlog % % Frame ps_prolog 5
Georgia Tech - CS - 6660
agentsArtificial Intelligence Uninformed SearchNilsson - Chapters 7 and 8 (Russell and Norvig - Chapter 3) sense Software System = AgentactEnvironmentPerformance MeasureUninformed Search; page 1 of 26Uninformed Search; page 2 of 26perc
Georgia Tech - CS - 6660
Artificial Intelligence Game PlayingNilsson - Chapter 12 (Russell and Norvig - Chapter 5)May 1997 Deep Blue - Garry Kasparov 3.5 - 2.5machines are better than humans in: othello machines and humans are about equally good in: checkers (draughts),
Georgia Tech - CS - 6660
credit card application (1)Artificial Intelligence Decision TreesNilsson - briefly mentioned in Chapter 3 (Russell and Norvig - Chapter 18) information from your application: how long have you lived at your current address? what is your salary? do