BEE-spoke-data/govdocs1-by-extension huggingface dataset:
# Presentation: 413978

## Excellent News

**Figure 1.**

**Excellent News**

**Disturbing News**

**Decreases in Past Month**
**Use of Any Illicit Drug**

**Continued High Rates in**
**Nonmedical Use of OxyContin**
**& Vicodin in the Past 12 Months **

**P < .05**

*****

**19.4**

**18.2**

**17.3**

**16.1**

**10**

**12**

**14**

**16**

**18**

**20**

**22**

**8th, 10th and 12th Grade **
**Students Combined**

**2001**

**2002**

**2003**

**2004**

***17% Decline 2001 to 2004***

*****

**Percent**

**0.0**

**2.0**

**4.0**

**6.0**

**8.0**

**10.0**

**12.0**

**      ****OxyContin**

**      ****Vicodin**

**Percent**

**2002**

**2003**

**2004**

**4.0**

**4.5**

**5.0**

***Nearly 1 in 10 12******th****** Graders Abused Vicodin Last Year***

***Source: Monitoring the Future Study, 2004.***

**9.6**

**10.5**

**9.3**

## Partial Recovery of Brain Metabolism in Methamphetamine (METH) Abuserafter Protracted Abstinence

**Control Subject**
**(30 y/o, Female)**

**METH Abuser**
**(27 y/o, Female)**
**3 months detox**

**METH Abuser**
**(27 y/o, Female)**
**13 months detox**

***Source:  Wang, G-J et al., Am J Psychiatry 161:2, February 2004.***

**Figure 2.**

**Partial Recovery of Brain Metabolism ****in Methamphetamine (METH) Abuser****after Protracted Abstinence**

## Partial Recovery of Brain Dopamine Transporters

**Partial Recovery of Brain Dopamine Transporters**
**In Methamphetamine (METH) Abuser **
**After Protracted Abstinence **

***Source:  Volkow, ND et al., Journal of Neuroscience 21, 9414-9418, 2001.***

**Figure 3.**

## Routine HIV Screening in Health Care Settings

***Source: Sanders, GD et al., NEJM 352(6), February 10, 2005.***

**Routine *****HIV Screening***** in Health Care Settings**
**Can Provide Important *****Health & Survival Benefits*****...**

**And Can Be As *****Cost-Effective***** As Screening for Such**
**Other Conditions As Breast Cancer & Hypertension**

**Increase in Life Expectancy **
**Due to Screening (Yr)**

** ****2.0**
**1.8**
**1.6**
**1.4**
**1.2**
**1.0**
**0.8**
**0.6**
**0.4**
**0.2**
**0.0**

**30           40            50           60          70           80           90**

**Life expectancy**

**Quality-adjusted**
**life expectancy**

**AGE (Yr)**

**200,000**
**180,000**
**160,000**
**140,000**
**120,000**
**100,000**
**80,000**
**60,000**
**40,000**
**20,000**
**0**

**Incremental Cost-Effectiveness of Screening**
**($/quality-adjusted life year)**

**0.0   0.1   0.2   0.3   0.4   0.5   0.6   0.7   0.8   0.9   1.0**

**Costs and benefits to partners**
** ****excluded**

**Costs and benefits to partners included**

**Prevalence of Unidentified HIV (%)**

**Figure 4.**
# Presentation: 857137

## Landsat ProjectUpdate for the Landsat Science Team

**12 June 2007****	**
**Rachel Kurtz**
**Landsat Data Acquisition Manager (Acting)**

## Current status: Health and Safety

**Landsat 7**
- MOC @ GSFC
- SLC-off
- Keeping an eye on:
- Gyros
**Landsat 5**
- MOC @ Columbia, MD
- Fixed array operations
- IC’s fully supported
- Keeping an eye on:
- Fixed Array/Power/Battery
- Transmitter
- Star Tracker
- Everything else

## U.S. Landsat Archive Overview(Scenes through 30 April 2007)

**ETM+: Landsat 7**
- 715,503 scenes
- 664TB RCC and L0Ra Data
- Archive grows by 260GB Daily
**TM: Landsat 4 & Landsat 5**
- 696,078 scenes
- 349TB of RCC and L0Ra Data
- Archive Grows by 40GB Daily
**MSS: Landsat 1 through 5**
- 649,417 scenes
- 19TB of Data

## Who Buys Landsat Data?

**Landsat 5 YTD Data Sales**

**Landsat 7 YTD Data Sales**

## Landsat 7 Bumper Mode	

**Planned normal bumper wear**
**Requires update of calibration files**
- Changed rate of movement
**No impact for the U.S. user community**

## Closeup of Segment-based Gap-Fill

- Adapted from Maxwell *et al*., in print.

## New L5 Polar Scenes from KIS

**New L5 Polar Scenes from KIS**

## Mid-Decadal Global Land Survey

**USGS/NASA partnership**
**Extends Decadal Surveys**
- Circa 2004-2007
**Scene-based**
**Sensor mix**
**Matched geometrically to 2000**

**Stay Tuned for Jeff!**
**Next!**

## Looking to LDCM: Standard L1T

**Pilot Dataset**
- US only – includes Alaska, Hawaii, & territories
- L7 ETM+ SLC-off only – 2003 to present (and ongoing)
- < 10% cloud cover, 9 quality
- Pixel size:		14.25m/28.5m/28.5m
- Media type:	Download (web-enabled), CD/DVD ($50)
- Product type:	L1T (terrain-corrected)
- Output format:	GeoTIFF
- Map projection:	UTM
- Orientation:	North up
- Resampling:	Cubic convolution

## Standard L1T Pilot

- _Total: 1,372_

## Slide 11

## Slide 12

## Downloaded Scenes 

- 474 scenes
- 92 unique users
- Avg download: 5
- Max download: 46

## 45% Green

- Geography

## Outstanding issues	

**Bulk distribution?**
- Limited to 10 scenes at once
- Creating legacy?
- FTP pipe
- Network capabilities
- Media
- Infrastructure
- Access
- Privileged access?
**Terrain-correction: GeoCover**
- Missing scenes
- Polar scenes

## Future Plans for Web-Enabled Data

**Budget & Policy: Pilot to Future**
**Increasing the scope of the Pilot**
- Geographic
- International Cooperators
- NA, Africa
- Temporal
- SLC-On
- TM & MSS
- Expand ACCA
- 20%? 30?
- L1T limitations
**No current plan to execute**

## http://earthnow.usgs.gov

**http://earthnow.usgs.gov**

## EarthNow! stats

- 304 Avg to 568 Avg

**46,846 Unique users **(Avg 26 per day)
- 437,321 Passes Viewed

## Future Plans

_**Operational**_
**Health and Safety of the spacecraft**
**Maintain reliability of the Ground Station**
**Archive: robust & consistent**
- LTAP updates
- Calibration
- Products
_**Cooperative**_
**Mid-Decadal Global Land Survey (FY06- FY09)**
# Presentation: 438703

## Active Region Evolution and Implications for Coronal Heating

- Ryan Milligan
- QUB/NASA-GSFC

## Solar Atmosphere

- MDI Magnetogram.

- EIT Fe XV 284Å image.
- 2 MK

## Objectives

- To measure changes in the physical parameters of a decaying active region (Ne, Te, Pe, Фtot)
- To observe a decrease in the total amount of heating (PH).
- To compare these results with recent coronal heating models to determine the heating mechanism responsible (AC or DC).

## Coronal Heating Models

- Wave (AC) Heating (e.g. Alfvèn waves)
- Stress (DC) Heating (e.g. nanoflares)
- PH = total heating power (ergs s-1)
- Фtot = total unsigned magnetic flux (Mx) = ∫ |Bz| dA
- Bz = radial component of the magnetic field

## NOAA Active Region 10103

- EIT Fe XII (195Å) 1.5 MK

- MDI Magnetogram

- MDI Continuum

## AR Morphology

-  Total area decreased by a factor of 2.
-  Total magnetic flux fell by a factor of 5-6.

## Intensity

- Electron Density (Ne)
- (Si X ratio)

- Temperature (Te)
- (Fe XVI/Fe XIV)

- Pressure (Pe)
- (From Ideal
- Gas Law)

## AR Morphology

- AR core
- Ne ~ 1010 cm-3
- Te ~ 2.3 MK
- AR Boundary
- Ne ~ 7  108 cm-3
- Te ~ 2.1 MK

-  <Ne> fell by ~30%
-  <Te> fell by ~4%

## Energy Balance Equation 

- EH = ER + EC + EF  (ergs cm-3 s-1)
- EH – total volumetric heating rate
- ER – radiative losses =
- EC – conductive losses =
- EF – mass flows =
- Integrating over the active region volume:
- PH = PR + PC + PF (ergs s-1)

## Power Balance

-  Radiative losses fell by a factor of 5 over the five days.
-  Mass losses fell by a factor of 4.
-  Conductive losses fell by a factor of 3.
-  Total heating also fell by a factor of 5.

##    A power-law relationship of PH ~ Фtot0.81±0.32 implies that this active region is heated by magnetically-associated waves, rather than nanoflare-type events.

-    A power-law relationship of PH ~ Фtot0.81±0.32 implies that this active region is heated by magnetically-associated waves, rather than nanoflare-type events.
# Presentation: 692011

## Alignment RequirementsIntroduction

- General method in NuMI Note L-221
- (Oct. 96, old 3 horn beam)
- Medium Energy Beam in TDR sect 3.6
- Detailed data here for Low Energy Beam, but still:
- Uncorrected PBEAM bugs
- Horn current assumed at inner radius of inner conductor
- Target width of 3.2 mm used (latest 6.4)

## Beam Element accuracy requirements

- 	At low neutrino energies, the NuMI beam at the far detector is several kilometers wide, making it easy to hit with some neutrinos.
- Much more demanding is the physics (energy spectrum test) requirement to calculate the far detector spectrum (without oscillations) from the measured near detector spectrum.

- If

## Beam Element accuracy requirements

-    Use PBEAM_WMC Monte Carlo program to find v energy spectra in the far and near detectors with an element aligned.

- If element is offset by X, then FAR(X)/NEAR(X) should have been used instead. Correction factor RR:

## Horn 1 X=+2 mm Flux, Ratio at Detectors

## RR Horn 1 X=+2 mm

## Calculation Scheme

- Select alignment reasonably achievable
- Find Far & Near Detector Spectra with everything aligned
- Guess several displacements (x) of one element & find spectra
-  Find RR for each displacement
- Select peaks in RR
- Fit RR (E peak) to Axp
- Find RR variation at selected alignment accuracy
- Repeat for all elements
- Compare with 2 year run stats.

## Beam Position on Target Accuracy Estimate

- Beam Position Chambers

- Target

- Beam

- a

- b

- xt = transverse error at target
- xc = transverse error at each chamber
- r = b/a = 9.65 / 14.63 = 0.66
- xt = xc [2r2 + 2r +1]0.5
- Assume xc =  0.25 mm, then
- xt = 0.45 mm

## RR-1Beam X on Target

## 6 GeVSensitivities

## Add Magnet Power Supply Regulation

## Conclusions

- Details are preliminary due to beam line changes & PBEAM Monte Carlo difficulties.
- Assuming they add in quadrature, seven magnet strings that each produce a 0.25 mm error at the target are acceptable.
- Increasing this to 0.5 mm each stretches the tolerance budget.
- Anything more is not acceptable.
# Presentation: 096410

## Polymer Adsorption and Transport into Nanopores

- (_Grant No_.: DMR-0449736, _Program director_: Dr. Andrew J. Lovinger.)

- When Rg > Rp,

- PS in
- cyclohexane

**SEM of a PS shell layer remaining after HF etching**

- PS adsorption in cyclohexane
- HF treatment & sonification

- When polymers are larger than pores,

- When   Rg < Rp, pore ~  (Rg) ~ flat
-             Rg > Rp, pore ~  (Rp).
- When polymers are larger than pores, the “true” pore depends not on polymer size, but on pore size.

_**Chang Ryu, Rensselaer Polytechnic Institute, Troy, NY**_

- Understanding the size interplay between polymers and pores

- ___ __= surface excess = wt. of adsorbed polymers per unit area_

- Applications of polymer nanopore adsorption for polymer separation

- Polymer separation in polymer nanoparticle composites

- Block copolymer fractionation based on chemical composition differences

- Li *et al.* *Macromolecules* **2006**, *39*, 3175-3183.

- Park *et al.* *Macromolecules* **2006**, *39*, 315-318.

**Research**

## Polymer Adsorption and Transport into Nanopores

- (_Grant No_.: DMR-0449736, _Program director_: Dr. Andrew J. Lovinger.)

_**Chang Ryu, Rensselaer Polytechnic Institute, Troy, NY**_

**Education**

**Outreach**

-  Two Ph.D. Students
- Won Kim (4th year), Chansu Kim (4th year)
-  Four undergraduate students
- Felicia Tsai (junior, RPI)†
- Samantha G. Gladstone (freshman, RPI)
- Nan Chen (freshman, RPI)
- Jeol Batson (Junior, Morehouse, GA) ‡

- †The winner of Janz award at RPI for the summer research support at RPI, based on her previous work and proposed work before the summer of 2006.
- ‡ REU supplement-CAREER support (DMR-636168) for the summer of 2006

- (1)Two graduate students are making a steady progress toward their Ph.D. degrees.
- (2) Undergraduate research by 4 students is supported beyond the original budgeted plan by attracting RPI internal scholarship funding and obtaining REU supplement-CAREER support.
- (3) Graduate-level course titled “Polymer Separation and HPLC (2 credit)” was offered to 8 graduate and 2 undergraduate students at RPI in Spring, 2006.

- (2) The PI hosted UG students from Williams College (UG Only institution) for one-day special lecture/laboratory on polymer HPLC at RPI (Picture above-right: April, 2006)
- (3) The PI and his students continued to develop the educational web-based resource on polymer materials -“Virtual Polymer Laboratory” (http://block.chem.rpi.edu/html/E_Outreach)

- High School Outreach Program:
-        The PI will continue to collaborate with HS teachers as a Program Coordinator of “Bringing Nanotechnology to the Classroom”, HS Outreach Program in NSEC at RPI, since 2003 (Picture below-left: July, 2005).  The PI also gave a seminar on nanotechnology at “Albany Academy for Girls” in Albany, NY (May, 2006) in an effort to expand the HS outreach program
# Presentation: 134966

## FTS Networx Strategy Public Forum

**Mr. John C. Johnson**
**Assistant Commissioner, FTS**
*** ***
**August 11, 2004**

## 8 Observations:

**Customers seek “efficient” network solutions (price + quality)**
**Competition remains a driver for efficiencies and innovation**
**Technology investments are linked to performance**
**Customer diversity requires a robust portfolio of offerings**
**Security must be integral to the solution**
**Ease of use is a value discriminator**
**Convergence is occurring on many levels**
**OSS efficiencies are the next frontier  **

## Delivery Contracts

**FTS2001**

**FTS **
**Crossover**

**MCI**

**Sprint**

**AT&T**

**Verizon**

**SBC**

**Winstar/IDT**

**Qwest**

## Network Services Growth vs. Economic Value

- Network Services *Growth vs. Economic Value*

**Price reduction**

**Volume Growth**
**(Data Services)**

**Price**
**Reduction**

**Volume**
**Growth**

## Network Evolution

- FTS2001 transition
- complete

**Current**

**Projected**

**Monthly Mbps**

## Evolving Network Infrastructure

**Today (FTS2001, Wireless & Crossover)**

**In Progress (Networx)**

- Wireless
- voice/data

- Circuit-switched
- voice/data

- Internet access

- Video

- Frame Relay

- ATM

- Private Line

- Private
- Line

- Internet

- PSTN/
- 800

- ATM

- ISDN

- Wireless

**Technology-specific services and networks**

- All modes
- of Access

- Voice/Data

- IP/MPLS
- Converged Network

**Plug-and-play solutions &**
**Performance/SLA-based converged network**

- Frame
- Relay

## New Services – New Delivery

**1999**

**2004**

## Evolution from Traditional to Managed Network Services

**Individual line**
**Technology/Service Performance**

**Router-router **
**Network QOS**

**Application-level (e.g. Voice)**
**Application Performance**

**Desktop-level Availability**
**Enterprise/Mission Performance**

**Each Component, Circuit**

**CPE Router Ports**

**Application**

**Desktop**

**Full Lifecycle Service Engineering**

**Individual Service Reqt’s Definition**

**Solution Reqt’s Definition**

**Enterprise Reqt’s Definition**

**Standard Services**

**Managed Services**

**Enterprise Solution**

**Managed Enterprise**

**SLA Scope ...   ****	****	****	****	****                  ****Broaden**

**Service Demarcs...****	****	****	****	****	****Decrease**

**Customer Technical Network Responsibility... ****	****	****Decreases**

**Many per application**
**Many per facility**

**Few per application**
**Few per facility**

**One per application**
**Few per facility**

**One per facility**
**Few across Enterprise**

**Billing Line Items...****	****	****	****	****	****Simplify**

**Traditional Telecommunications Delivery**

**Value-Added Delivery**
# Presentation: 192958

## Lucy Fortson, Gerald Kulcinski (chm) 
Ioannis Miaoulis, and Jim Milgram

- Ioannis Miaoulis, and Jim Milgram

- Glenn Research Center

- NAC-Human Capital Committee

- July 10, 2008

**Notes:**
Start with history of Engineering at UW-Madison – slide off

## Fact Finding Presentations to Human Capital Committee

- Mr. Mike Cabbage-*”NASA TV”*
- Ms Toni Dawsey-*”Update on NASA Workforce”*
- Information on NASA Co-op Distribution

## NASA TV Update

- As a result of the NAC meeting in Stennis, April 17, 2008 the following recommendation was made:
*“**An outside organization should be contracted to do an evaluation of the current effectiveness and viewer ship of NASA TV and to recommend a clear rationale and a set of themes for its continuance.”*

## NASA TV Update (continued)

- Unfortunately, at the April meeting, the HC committee was not presented with the results of a recent internal analysis on NASA TV published on July 31, 2007.

## Slide 5

## Slide 6

## Selected Quotes from “Report of the NASA Television Working Group”

- “Simply put, NASA is distribution rich and content poor,...”
- “...,the production facilities, staff expertise and funding at NASA Headquarters and its field centers are inadequate to produce quality  television products on a regular basis.”

## NASA TV Update (cont.)

- As a result of the information in the internal report, the present legal restrictions on TV programming, and the current financial situation in the Office of Strategic Communications, we are suggesting a revised recommendation
*Our view is that “NASA should significantly upgrade the content of the NASA Education Channel and NASA TV Channel or phase them out.”*
*We continue to support the original recommendation with the caveat that the “outside contractor” should take into account the July, 2007 internal review**.*

## NASA’s Generational Workforce

- Dr. Toni Dawsey
- 7/10/2008

## Current Workforce(as of March 1, 2008)

- Baby Boom Population :  Born before 1961
- Generation X Population:  Born between 1961 and 1975
- Generation Y Population:  Born after 1975

## Current Workforce by Center

## Hires by Generation

## Retirement Eligibility

## Observations on NASA Co-ops-March 1, 2008

- Total number of Co-ops is 407 representing 129 schools from across the country.

| Center | Total Co-ops |
| --- | --- |
| Engineering | 330 |
| Business | 75 |
| Science | 2 |
| Total | 407 |

## Observations on NASA Co-ops-March 1, 2008 (cont.)

- The number of Co-ops per Center employee is highest at JSC (3.7%), lowest at HQ (0)
- The tier 1 universities are greatly underrepresented in the NASA Co-op program
- Co-ops are currently the major source of Generation Y hires

## Observations on the NASA Office of Human Capital 

- The OHC is now in good shape to handle major changes in the workforce needs across the agency thanks to the development of the Workforce Planning Data Base developed over the past few years
- One issue they continue to grapple with is the is the length of time it takes Constellation, as a new program, to assign work.

## Questions?
# Presentation: 944970

## Reconstructed 0 in Run5

- Reconstructed 0 in Run5

**10 < p****T**** < 11 [GeV]**

**m****inv**

**m****inv**

**12 < p****T**** < 13 [GeV]**

**14 < p****T**** < 15 [GeV]**

**8 < p****T**** < 9 [GeV]**

**m****inv**

**m****inv**

**Current reach out to**
**~15 GeV/c !**

- Results obtained from LVL1 trigger with LVL2 event filter, production at ORNL.

## J/’ in CuCu 200 GeV

**J/********’******************** in CuCu 200 GeV**

- J/ clearly seen in LVL2 filtered events:

**MUID North**

**MUID South**

**(~1.3 nb****-1**** processed through LVL2 and reconstruction, **
**~3300 J/******** in South arm, ~2200 J/******** in North Arm)**

- Results obtained in semi-real time! (less than 2 days from data to go through LVL2, calibration, and production).

- J. Lajoie - RHIC Machine/Expt. Meeting

## J/’e+e- in CuCu 200 GeV

**J/********’****e****+****e****-**** in CuCu 200 GeV**

- J/ also seen in central arm data:

**(~1.4 nb****-1**** processed through LVL2 and reconstruction**,**~560 events in peak)**

- Results obtained in semi-real time! (less than 2 days from data to go through LVL2, calibration, and production).

- Level-1 threshold

- J/Y peak above like-sign background.

- J. Lajoie - RHIC Machine/Expt. Meeting

## J/’e+e- vs. Centrality

- Need more statistics for peripheral collisions

**0-20% **

**20-40% **

**40-60% **

**60-80% **

**80-100% **

- 286 +/- 36

- 212+/-19

- 80+/-10

- 18+/-5

- J. Lajoie - RHIC Machine/Expt. Meeting

## 200GeV CuCu Integrated Luminosity

**200GeV CuCu Integrated Luminosity**

**1.81 nb****-1 ****live BBCLL1 (********=2.91 b)**

**(1.62 nb****-1 ****with MuID North/South)**

**2.86 nb****-1 ****live ZDCNS (********=2.6 b)**

**PHENIX Goal 2.9 nb****-1 ****live BBCLL1**

**5.1 B BBCLL1 events **_**sampled**_
**717 M events **_**recorded**_

**(As of 2/15/2005)**

**(44 days = March 3****rd****)**

- J. Lajoie - RHIC Machine/Expt. Meeting

## PHENIX DAQ Hours

**59.6 hours in the previous week**
**(93 hours CAD from lumi)**
**21 stores x 30 minutes = 10.5 hours**
**Efficiency = 82.5/59.6 = 0.72**

- J. Lajoie - RHIC Machine/Expt. Meeting
# Presentation: 260827

## Slide 1

## Slide 2

## Slide 3

## Slide 4

## Slide 5

## Slide 6

## Slide 7

## Slide 8

## Remove fake MEt

_**Model**_
- - GMSB decays of G
- - pair production: MEtX
_**Sample**_
- - 760 pb-1
- - 2 photons, Et>25, ||<1.1
_**Remove fake MEt**_
- - MEt not opposite the largest jet
- - photon preshwr points to vertex
_**Background from jets**_
- - Two loose photons sample
- - Normalize to low MEt

_**Background from W**__****__**e**__****_
- - Identify e MEt sample
- - Scale by prob for e to fake 

## Results

_**Results**_
- - MEt>45 GeV signal region
- QCD   1.8  0.7
- _W____      0.28 ____ 0.06_
-             2.1  0.7
- Observed  4

_**Model Limit**_
- - Snowmass Slope SPS 8
- - 021 and 11 production
- - K-factor ~1.2
- - Limit: M(1)>220 GeV

## Slide 11

## Slide 12

## Slide 13

## Slide 14

## Slide 15

## Slide 16

## Slide 17

## New!

_**Model**_
- - 2 Higgs doublets
- - Fermiophobic, h
- - hVV coupling suppressed
- - hH h(hW ((X
- - Search for X
_**Data**_
- - 3 central photons
- - Et > 30, 20, 15 GeV
- - 830 pb-1
- - Total Pt of the 3 > 25 GeV

_***New***_***!***

## b = prob j 

_**Define fake rate/efficiency**_
- b = prob j 
- s = prob  

_**Define matrices:**_
- - True  **n** = (n nj njj njjj)
- - Meas  **N** = (N Nj Njj Njjj)
-       (here “j” is a EM-like object)
- - matrix eq.   **n** = **E N**

**E = **

- - Invert to solve for true event counts

## - QCD = 0.72 

_**Background**_
- - before final Pt() cut
- - QCD = 0.72 
- Direct  derived from
-    with a similar matrix,
-   and Pythia / rate:
-       2.73
- - W/Z and  is small
- - Total: 3.5 
-    Observed: 5 events

- - mass of all pairs

## - After the final Pt cut:  1.1 expected, 0 observed

_**Limits**_
- - After the final Pt cut:  1.1 expected, 0 observed
- - Higgs mass greater than 44 to 80 GeV,
-    depending on H mass and tan

## Slide 22

## Slide 23

## Slide 24

## Slide 25

## Slide 26
# Presentation: 205913

## Comparison between the HIRDLS and MIPAS Instruments

- Claire Waymark
- University of Oxford
-        Supervisors: Anu Dudhia, John Barnett
- and Fred Taylor

## The High-Resolution Dynamic Limb Sounder (HIRDLS)

-  Launched on AURA in July 2004
-  Limb geometry
-  Measures in the infrared
-  Radiometer - fixed spectral channels
-  Each channel targets a specific species
-  Obstruction cover all but ~20% on one viewing angle.
-  Routine products are pressure temperature, O3, H2O, HNO3, CH4, N2O, NO2, N2O5, ClONO2, F11 and F12

## The Michelson Interferometer for Passive Atmospheric Sounding (MIPAS)

-  Launched on ENVISAT in March 2002
-  Fourier Transform spectrometer
-  Measures in the infrared
-  Uses limb geometry
-  Scans sequentially through atmosphere
-  Routine products are pressure temperature, O3, H2O, HNO3, CH4,
-     N2O and NO2

## HIRDLS and MIPAS Coincidences

- 10 HIRDLS channels completely overlap the MIPAS spectrum.
- No temperature channel overlap.

## HIRDLS and MIPAS coverage 

- HIRDLS and MIPAS coverage

- MIPAS data only available for the 28th January 05 and 1st March 05.
-  3 orbits available for both days.

- MIPAS night
- MIPAS day
- HIRDLS night
- HIRDLS day

## Radiance comparison

-      (20S-60S) HIRDLS Channel 8 (HNO3)

- (20S-60S) HIRDLS Channel 17 (CH4)

- HIRDLS profile.

- MIPAS profile

- Climatology profile

## Radiance Gain and Offset

-        Gain = HIRDLS/MIPAS

-   Offset = HIRDLS-MIPAS

## Radiance comparison

- Results mostly consistent over the latitude bands
- Better radiance agreement for the 28th   January then the 1st March

- Averaged over vertically and over all profiles

## MIPAS Retrievals

- MORSE was used for the retrievals
- MORSE stands for MIPAS Orbital Retrieval using Sequential Estimation
- The Micro windows used are those that will be used for the ESA retrievals
- Standard produces retrieved are PT, O3, H2O, HNO3, CH4, N2O and NO2
- N2O5,ClONO2,F11 and F12 where added to the retrievals for comparison with HIRDLS measurements.

## Retrieved Profile Comparison

- HIRDLS retrievals from the HIRDLS team (UCB)
- MIPAS retrievals produced using (MORSE).
- Temperature:- good agreement

- Average HIRDLS profile.

- Average MIPAS profile

- H2O:- HIRDLS ~2 times higher than MIPAS

## Retrieved Profile Comparison: Summary

- Temperature:- good agreement
- H2O:- HIRDLS ~2 times higher than MIPAS
- O3:- good agreement above 100mb
- CH4:- too high
- N2O:- good agreement  above 100mb
- N2O5:- good agreement above ~40 mb
- ClONO2:- slightly higher than MIPAS above 100mb

## Future Work

- Run similar comparison for other species which are measured by both instruments.
-  Use the Oxford Reference Forward model (RFM) to simulate radiance using the MIPAS retrievals.

- Thank you for your attention
# Presentation: 685509

## Unprecedented opportunities exist for the expanded use of  foods & components to achieve genetic potential,  increase productivity and reduce the risk of disease.  

**Unprecedented opportunities exist for the expanded use of  foods & components to achieve genetic potential,  increase productivity and reduce the risk of disease.  **

**Notes:**
Accelerate pace of discoveries 
Translate research more rapidly from laboratories to patients and back
Explore novel approaches orders of magnitude more effective than current
Develop new strategies, 2nd road map

## The “Omics” of Nutrition

**DNA**

**Nutrigenetics**

**Nutritional Epigenetics**

**Nutritional Transcriptomics**

**Proteomics**

**Metabolomics**

**Bioactive Food Component**

**RNA**

**Protein**

**Metabolite**

**The “Omics” of Nutrition**

**Phenotype**

**Nutrigenomics**

## Nutritional Metabolomics

**DNA**

**Nutrigenetics**

**Nutritional Epigenetics**

**Nutritional Transcriptomics**

**Proteomics**

**Metabolomics**

**Bioactive Food Component**

**RNA**

**Protein**

**Metabolite**

**Nutritional Metabolomics**

**Phenotype**

**Nutrigenomics**

## Response

**Nutritional**

**Supranutritional **

**Toxic**

- Exposure

- Anti-
- oxidant

- Immune
- Enhancement

- Carcinogen
- Metabolism

- Cell Cycle
- Inhibition
- Apoptosis

- Toxicity

- Typical
- Intakes

## Can Metabolomics Shed Light 

**Intake of Dietary Constituent**

**Absorbed**
**Dose **

**Biologically Effective Dose**

**Inactive Metabolite**

**Altered **

**Altered **

**Structure **

**Structure/ **

**Function**

**Function**

**Health Effects**
**+ and -**

**Susceptibility (****Genetic/**
**Environment)**

**Early Biologic**
**Effect**

- Can Metabolomics Shed Light
- on these 3 Nutrition Related Biomarkers

## Can Metabolomics Provide Clues about the Progression of Disease

**Treatment**
**Options**

**Quality**
**Of Life**

**Genetic**
**Risk**

**Early**
**Detection**

**Patient **
**Stratification**

**Disease**
**Staging**

**Outcomes**

**Natural History of Disease**

**Treatment History**

**Biomarkers**

**Environment**
** ****+  Lifestyle**
# Presentation: 475799

## NSTX

**Data from Day-0 Operation of CHI in NSTX**
**(November 1999)**

**R. Raman****1****, ****B.A. Nelson****1****, T.R. Jarboe****1****, D. Mueller****2****, **
**M.G. Bell****2**** **
**1****University of Washington**
**2****Princeton Plasma Physics Laboratory**
***and the NSTX Research Team***

*** ***
**DC Power Supply Meeting**
**13 January 2009**

*NSTX*

***Supported by   ***

***College W&M***
***Colorado Sch Mines***
***Columbia U***
***Comp-X***
***General Atomics***
***INEL***
***Johns Hopkins U***
***LANL***
***LLNL***
***Lodestar***
***MIT***
***Nova Photonics***
***New York U***
***Old Dominion U***
***ORNL***
***PPPL***
***PSI***
***Princeton U***
***Purdue U***
***SNL***
***Think Tank, Inc.***
***UC Davis***
***UC Irvine***
***UCLA***
***UCSD***
***U Colorado***
***U Maryland***
***U Rochester***
***U Washington***
***U Wisconsin***

***Culham Sci Ctr***
***U St. Andrews***
***York U***
***Chubu U***
***Fukui U***
***Hiroshima U***
***Hyogo U***
***Kyoto U***
***Kyushu U***
***Kyushu Tokai U***
***NIFS***
***Niigata U***
***U Tokyo***
***JAEA***
***Hebrew U***
***Ioffe Inst***
***RRC Kurchatov Inst***
***TRINITI***
***KBSI***
***KAIST***
***POSTECH***
***ASIPP***
***ENEA, Frascati***
***CEA, Cadarache***
***IPP, J******ü******lich***
***IPP, Garching***
***ASCR, Czech Rep***
***U Quebec***

## Variation of Series Resistor (1kV PS Volatge)

**Variation of Series Resistor (1kV PS Volatge)**

**Rectifier PS Current (A)**

**Plasma Current (kA)**

**Injector Voltage (V)**

**Black (101018): 300 mOhm series resistor**
**Blue (101021): 150 mOhm**
**Red (101026): 75 mOhm**

## Variation of Series Resistor (PF Coils)

**Variation of Series Resistor (PF Coils)**

**Black (101018): 300 mOhm series resistor**
**Blue (101021): 150 mOhm**
**Red (101026): 75 mOhm**

**PF1B**

## 400 ms Discharge

**400 ms Discharge**

**Rectifier PS Current (A)**

**Plasma Current (kA)**

**Injector Voltage (V)**

## Highest Injector Current with 75mOhm resistor was ~9 kA, at 1kV PS voltage (should use 51.4mOhm resistor for CHI XMP in 2009)

**Highest Injector Current with 75mOhm resistor was ~9 kA, at 1kV PS voltage (should use 51.4mOhm resistor for CHI XMP in 2009)**

**Rectifier PS Current (A)**

**Plasma Current (kA)**

**Injector Voltage (V)**
# Presentation: 118613

## C-AD Mid-term strategic plan

## Under study

- Source upgrade 		[ 5-10% more polarization]
- RFQ-to-LINAC match 	[ p-emittance reduction]
- 2nd cold snake in AGS 	[ 5-15% more polarization]
- RHIC *-reduction 	[ up to 50% more pp-luminosity 250GeV]
- RHIC electron lenses 	[ up to 50% more pp-luminosity]
- RHIC transverse stoch. cooling [ up to 50% more AA-luminosity]
- Very high bandwidth stoch. cooling [ more pp-luminosity]
- Superbunches 		[ more luminosity, requires new detector]

## Backup: RHIC – enhanced luminosity goals

**   ****Enhanced Luminosity Goals **(before e-cooling, about 2008)
- For Au-Au, average per store, 4 IRs                      **L = 8********10****26****cm****-2****s****-1** at 100GeV/u
- For p-p average per store, 2 IRs         **L =    6********10****31****cm****-2****s****-1** at 100GeV**L = 1.5********10****32****cm****-2****s****-1** at 250GeVwith **70% polarization**

- 4  design2 achieved

- 16  design  9 achieved

-      1  design  1.5 achieved

**Notes:**
Pp design luminosity at 100GeV: 1e11/bunch, 60 bunches, e=30mm.mrad, b*=2m gives a luminosity of  4e30cm^-2s^-1.

## Backup: RHIC – achieved parameters

| Mode | No ofbunches | Ions/bunch [9]  | *[m]  | Emittance
[m]  | Lpeak [cm-2s-1]  | Lstore ave[cm-2s-1]  | Lweek |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Au-Au [Run-4] | 45 | 1.1 | 1 | 15-40 | 151026  | 51026  | 160 b-1 |
| p-p  [Run-5]  | 106 | 90 | 1 | 30-35 | 101030  | 71030  | 1.9 pb- 1  |
| Au-Au design | 56 | 1 | 2 | 15-40 | 91026  | 21026  | 50 b-1 |
| p-p design | 56 | 100 | 2 | 20 | 51030  | 41030  | 1.2 pb-1 |
| p-p design | 112 | 200 | 1 | 20 | 801030  | 651030  | 20 pb-1  |

- [best store or week]

- target

- [incl. beam experiments and maintenance]
# Presentation: 334318

## PC-Based Vibration Monitoring & Diagnostics System (PC-VMDS) for Machinery AI Signal Research, Inc.Huntsville, AL

**Innovation**
- PC-based Vibration Monitoring & Diagnostics System (VMDS) is a low-cost high-performance software/hardware system that can acquire and process high frequency dynamic measurement signals to monitor and identify various machinery dynamic characteristics caused by vibration sources including cavitation, bearing defect, gear box, etc.

**Accomplishments**
- Development state:  Prototype
**Commercialization**
- Product/service name or trademark name:  PC-VMDS
- Primary target/potential market sectors -- Rocket engine manufacturers, transportation industry, nuclear power industry, and pump manufacturers
- Unique competitive advantage -- Unique and effective signal processing software allows engineers to perform vibration analysis using a very cost effective system.
**Government/Science Applications**
- PC-VMDS is a PC-based real-time signal analysis system operating under standard Microsoft Windows environment.  The unique signal analysis software of PC-VMDS can aid engineering in performing engine diagnostic evaluation for bearing defect signature, cavitation-induced vibration signature, etc.  The system also includes a unique signal enhancement software which is highly effective for anomaly identification within a rotor system.  These analysis tools have been tested and demonstrated with actual application to space shuttle main engine test data.

**Government/Science Applications**
- Actual:  PC-VMDS has been utilized by NASA engineers to analyze rocket engine test data to assess various engine dynamic characteristics including pump cavitation, bearing signature, blade-passage waveform, signal enhancement and anomaly identification.
- Potential:  PC-VMDS has applications for health monitoring and diagnostics of turbomachinery systems in transportation, the electrical power industry, and ship building industry.

- PC-based Vibration Monitoring & Diagnostics System

- Points of Contact:
-    -  NASA (Denise Swain; 256/544-8112)
-    -  AI Signal Research, Inc. (Jen-Yi Jong; 256/551-0008)
- 1993 SBIR Phase 2; NAS8-40555

- Marshall Space Flight Center
- Date of Update:	1/11/99
- Success Story #:	8-031
# Presentation: 098152

## FUTURE

- Jeff Kimpel, Director
- National Severe Storms Laboratory
- October 15, 2004

## Three Themes

- Three legged Stool
- Radar
- Modeling
- hydrometeorology

## RADAR VISION

## RADAR VISION 

- Phased Array Radar –big, S or C band
- Phased Array Radar – little, low power, X or K band, cheap, CASA-like
- Mobile Radars

## MODELING VISION

## MODELING VISION

## MODELING VISION

## Forecast versus Observed Storm 

- Forecast versus Observed Storm
- Tornado Tracks

- Green dash - Obs Mesocyclone track
- Green solid - Obs Tornado track
- White - model mesocyclone track
- Red - model tornado-cyclone track ( > 0.05 s-1)

## MODELING VISION

- Diagnostic, forecast, decision support
- Warn on detection to warn on forecast
- Very high resolution, very short range, ensemble based forecast models
- Doppler radar data is an important information source for assimilation
- Includes “big” and “little” radars
- The t is less than a minute

## HYDROMETEOROLOGY VISION

**HYDROMETEOROLOGY VISION**

**Flash Flooding**

**Hail>2 in.**

- Wind Gusts>50kts

## HYDROMETEOROLOGY VISION

- Rainfall from radar will revolutionize hydrometeorology
- Dual-Polarization will yield better rainfall estimates
- Dual-Pol phased array (big and small) will further improve estimates
- NSSL should lead applications of radar based rainfall estimates to rest of world

## PART OF VISION

- Transition science and technology to NWS
- Archival, refereed publications
- Conference papers, meetings
- Service on boards, councils, committees
- Education, especially graduate level
- Outreach
- Community service

## NOT PART OF VISION

- Unsound science and technology hype
- Seeking reimbursable funds for funding sake
- Competing with the private sector, universities, others
# Presentation: 448475

## St. Louis Division 

- “Begin with Pride - End with Excellence”

- St. Louis Division
**Methamphetamine**
**Strategy**

-   Continue to provide clan lab training for our state and local law enforcement counterparts
-   Identify, investigate, and prosecute those individuals/organizations involved in the diversion of chemicals used for the production of methamphetamine
-   Identify, attack and dismantle Mexican methamphetamine trafficking organizations and their command, control and communications infrastructure
-   Share and exchange intelligence with our federal, state, and local law enforcement counterparts to identify, target and dismantle organizations involved in the production and distribution of methamphetamine
-   Identify and attack financial systems used by trafficking organizations to launder, conceal, and transport methamphetamine proceeds
-   Coordinate and facilitate the federal prosecution for regional repetitive clan lab operators
# Presentation: 438705

## Additive Notes from “External” breakout group

- Participants:  Dino Pavlakos, Andrew Siegel,
- Paul Woodward, Nagiza Samatova,
- Sam Fulcomer, John van Rosendale
- (did I miss anyone???)

## Tool Definition (as contrasted to finer-grain module) 

- A “tool” (in our definition) has coarse granularity, runs or can run in a separate process, can be instantiated as a service, and does enough work that it would be worthwhile to do a data conversion before it and after it.

## Exercise ... walk-thru tool-interface needs for a specific example: Tool does isosurface extraction and LIC on a vector field painted on the isosurface.

- Execution paradigm
- Must be predefined, whatever it is.
- Allow on-machine or distributed.
- Interface
- Canonical vector-field data structure
- Canonical scalar-field data structure
- Mesh/geometry data structure
- Input parameters (e.g., iso-value)

## Functional Diagram + Interfaces

**Observations**:
- The same abstract interface(s) can be realized:
- Externally or internally (I.e., between tools or between modules)
- Within a process, within a machine, between machines (across a network), across an API, via a data protocol/format
- Need for seamless data migration/transport services

- Resource
- Management
- Interface
# Presentation: 948328

## Tenant User Group Meeting

- Environmental, Safety and Health Audit for the Interior Complex
- Smart Benefits/Relocation of Benefits Office
- Fourth of July celebration
- Modernization Update

## web  www.doi.gov/modernization

## Phase III (wing 4) to Phase IV (wing 3) Transition

**Phase IV – Move Period **
**previously published date (Nov/Dec 2007)**
**current projection (Jan/Feb 2007)**
**Included in the 60 day window is a 2 week “air out” period**
**Cafeteria will be included in this renovation phase**
**Cafeteria will close for a minimum of 18 months**
**Alternative food service offerings are being developed **
**A new snack bar currently being constructed on the 4****th**** floor will supplement the existing snack bar**
**North Penthouse will be re-opened with the next phase**

- 

## 	Out of Phase Work

**Gymnasium- (Originally a July 2007 completion date currently September 2007)**
** ****Re-roofing and skylight installation on schedule**
** ****Basketball Court- 2 systems wood for court areas and urethane for weight machines.**
**Cafeteria-**
**Closure will not coincide with the phase transition**
**Blast Window Protection (design and procurement stage)**
**Wings 4, 5, 6 will be retrofit**
**Wings 3, 2, 1 will **
**Vehicle Arrest System- Bollards (remedial action) **

## Health and Safety

**Environmental Quality**
**Bi-weekly IAQ Forum in room # 2507 (all are invited )**
**(Mon. 2:00 pm to 3:00 p.m.)**
**Next meeting Monday June 4, 2007**
**Engaged a physician from Federal Occupational Health**
**Fire Safety**
**Security**
**Blast Protection**

## Thank You for your support

- It is your building please continue to stay engaged in the process
- Historic treasure with opportunity
- Museum
- Auditorium
- 7100 skylights
- Loading dock

## Project Phases

## Thank you

**Next TUG meeting is July 26, 2007**
**We would love to entertain your suggestions for future topics!**
# Presentation: 130107

## Wisconsin’s Data Collection Evolution

- Taming The DOSosaur

## CHANGES  

- CHANGES
- GRR REAT!!

## COLLECTING & PROVIDING INFORMATION(CIRCA B.C*)

**COLLECTING & PROVIDING INFORMATION(CIRCA B.C*)**

***B.C. - Before Computers - when accountants were in charge**

## THE WAY IT IS NOW

**USER NEEDS**

**INTERNAL DEVELOPMENT**

**EXTERNAL DEVELOPMENT**

**THE “REPORT” ****OR IS IT DATA?**

**THE WAY IT IS NOW**

## Slide 5

## Proposed Reporting Process

**Department of Public**

**Instruction**

**School District**

- Program containing all required data

- elements provided to districts in the

- form of a database to be stored on local

- machine.  Program includes modules to

- produce local reports.

- Financial data on local

- machines.   Import to

- local database.

- Program creates text file to be sent to DPI via snail

- mail, email, or eventually internet.  Data must pass

- all edits before text file can be created.

- Receive

- Diskette

- containing

- file. Data file

- uploaded to

- DPI database

- Upon receiving all district data,

- DPI can generate statewide and

- district specific reports that can

- be printed or accessed via the

- web.

- District has immediate

- access to standardized

- reports from the database

- on the local machine.

- Reports can be viewed on

- their machine or printed

- and used for decision

- making purposes.

## Demo 

**Fund 27 Fiscal Report Program**

## Demo 

**New School Finance ‘Data Warehouse’**
# Presentation: 285238

## TRB Session 275Creating a Vision for OperationsDr. Christine JohnsonDirector, ITS Joint Program OfficeProgram Manager, FHWA OperationsJanuary 11, 2000Washington, DC

- TRB Session 275*Creating a Vision for Operations*Dr. Christine JohnsonDirector, ITS Joint Program OfficeProgram Manager, FHWA OperationsJanuary 11, 2000Washington, DC

## We are expanding the mission of FHWA

- From constructing the infrastructure...

- ...to operating it safely and efficiently

*while enhancing and protecting the natural and human environments.*

## Operations

- ERGS

- CMS

- TSM

- TOPICS

- ERGS

## Success Depends on:

- Developing an understandable vision
- Delivering added value
- Developing a constituency

## Overview

- What is Operations?
- What’s going for us?
- What’s working against us?
- What’s our approach?

## So What is Operations Anyway?

- ITS

- Congestion Management

- Size and Weight

- Weather Response

- Work Zones

- Traffic Signs

**HazMat**

***Incident Management***

**Border Crossings**

- Access Management

***HOT Lanes***

- HOV Lanes

- Emergency Response

- MUTCD

- Ride Sharing

## What Ties it together?

*What ****IS**** Operations ****Really****?*

- Managing
- Transportation Resources
- Under Varying Conditions
- To Deliver Transportation Services
- To Customers

*Driven by “Optimizing Performance”*

## The Time is Right

- Need
- Opportunity
- Public appetite
- Funding and policy
- Political will

## So Why Isn’t It Happening?

## Rocky Terrain

- Policy based on
- Building, problem solving
- Success = Ribbon Cutting

## The Industry is Fragmented

- Geography

- Mode

- Political
- Jurisdiction

- Functional
- Classification

- Profession

**Issues**

## Slide 12

## Communicating a concept or vision of operations will be difficult.

*Communicating a concept or vision of operations will be difficult.*

## There is not a Well Developed Operations Discipline

- No national measures
- Scarce tools
- No Operations planning process
- 1st or 2nd level “best practices” -- neglected
- Little accountability
- No association

## No Aggressive Research &         Deployment Agenda

- Minimum standards for surveillance on the NHS????
- Standard operating procedures,  response time, etc.
- Tool development

## So how are we Starting?

- Launch national dialogue
- Catalyze Operations thinking

- Capitalize on existing operating practices
- Give customers a megaphone
# Presentation: 006023

## Unmet Need

**Ian Lewis, MB ChB, FRCP, FRCPCH**
**Pediatric Oncologist, Leeds, UK**
**Chief Investigator: European Osteosarcoma Intergroup Randomized Trial 80931**
**NCI External Program Reviewer**

**2012.02**

## Osteosarcoma

- Sites of disease
- Metaphyses of long bones particularly distal femur, proximal tibia and proximal humerus
- Clinically evident metastases at diagnosis
- Lung alone	20%
- Bones/combined	5%

**2405.03**

## Single Agent Activity in Osteosarcoma

**2407.03**

| Drug | Responses/
Patients | Response % | Author     Year |
| --- | --- | --- | --- |
| Doxorubicin | 28/109 | 26 | Cortes	1972 |
| Cisplatin | 8/24 | 33 | Nitschke	1978Ochs     	1978 |
| HD MTX (wkly) | 9/11 | 82 | Jaffe    	1977 |
| HD MTX (3wkly) | 11/26 | 42 | Jaffe  	1973Pratt	1980 |
| Ifosfamide | 6/18 | 33 | Marti 	1985 |

## UK Osteosarcoma Survival 1960-2000

**UK Osteosarcoma Survival 1960-2000**

- Historical:
- Surgery alone

- Introduction of chemotherapy

- Attempted refinement of chemotherapy

**2406.02**

## EOI 80931 Randomized Trial Doxorubicin/ Cisplatin: Standard vs Intensified 

**2019.02**

- Lewis *et al, **J Natl Cancer Inst*. 2007. 99:112-28

- 5 year

- 55%

- 58%

## Osteosarcoma Survival by Time Epoch(SEER Ages 0 – 29)

**2094.04**

- 1993-2002

- 1987-1992

- 1981-1986

- 1975-1980
# Presentation: 210468

## The PhyloChip

- West Linn High School
-  West Linn, OR
- jsdavies@mac.com

- _Mentor_: Todd DeSantis
- Gary Andersen’s Molecular Microbial Ecology Group

- A User’s Guide for a 16S Microarray

## Clinical Research

- Study the microbial community present in a patient.

- B. anthracis in lung tissue

## Environmental Microbiology

- To monitor the effectiveness of bioremediation efforts
- To compare the microbial communities from different locales
- To see how a microbial community changes over time

## The 16S rRNA Gene

- It codes for the small subunit of the ribosome
- A gene found only in prokaryotes
- It can be species specific

## Classifying with the 16S

- Both Start with
- DNA Extraction
- Polymerase Chain Reaction (PCR)
- Conventional Method (Greengenes)
- PhyloChip microarray

## Conventional Method

- Gel check for 1.5Kbp
- Clone the targeted amplicons
- Send off for sequencing
- Receive a chromatogram
- Classify sequences with Greengenes

## What is Greengenes?

- An up-to-date database of known 16S rRNA gene sequences
- A web based tool used to classify cloned bacterial DNA sequences
- Allows users to compare sequences to each other and to landmarks in the Greengenes database

## PhyloChip Procedure

- All procedures can be completed within the lab.
- Greatly reduces time needed to get results
- Detects a broader spectrum in microbial community

## My role in making technologies accessible

- Greengenes Tutorial (summer ‘06)
- Greengenes Updates
- Realignment of Tutorial to Greengenes
- Addition to Education Lesson Bank
- PhyloChip User’s Guide

## 2nd Annual Greengenes Tutorial

- Researchers
- UCSF, UC Berkeley & Stanford
- Educators
- Local biology teachers
- Fellow CSEE teachers
- Ecology Lesson

## PhyloChip User’s Guide

- Compile protocols developed in lab
- PCR
- Quantitation
- Labeling
- Hybridizing
- Staining
- Reading and Analysis

## PhyloChip User’s Guide

- Shadowed researchers using PhyloChip
- Shot Video of the various procedures
- Technical writing to create a unified flowing document

## Next Steps:

- Field Test the PhyloChip User’s Guide
- Curate Additions and Improvements to Greengenes Tutorial
- Publish Ecology Lesson to Tutorial
- Collect Data From Teachers Using the Tutorial and Lessons

## Acknowledgements:

- Todd DeSantis
- Gary Andersen
- Eoin Brodie
- Yvette Piceno
- _CSEE_: Laurel Egenberger, Rollie Otto, Michael 	           Thibodeau,Tom Knight, & Joe Crippen
- _IISME_: Jennifer Bruckner, Patti Forster & Kaye Storm
- Stephen D. Bechtel Jr.