BEE-spoke-data/govdocs1-by-extension huggingface dataset:
# Presentation: 385708

## MetaData (Management)andMPI-IO

- PIs:     Alok Choudhary, Wei-Keng Liao
- Department of ECE, Northwestern University
- With Bill Gropp and Rob Ross, ANL

- SDM kickoff meeting
- July 10-11, 2001

## Assess Hint – MPI-IO Info

- MPI Info object provides MPI-IO implementations file access hints for improving I/O performance and/or for minimizing use of system resources
- File info is specified on a per file basis
- We can classify MPI-IO file info as follows:
- Access pattern : *access frequency, sub-array access, sub-array size, the number of accessing processors*
- Caching : *turn on/off server buffering, buffering for data sieving (collective buffering), buffer size, block size*
- File storage : *File name and permission when creating, I/O node list, striping factor, striping size, I/O device number from which to start striping*

## MetaData Used in MPI-IO

- High Level (Application Oriented)
*Parallel partition patterns: data sieving*
*Access frequency: once, multiple times*
*I/O modes: read only, overwrite, create*
*Request chunk size: small, medium, large*
*Request sequence: random, strided, sequential*
- Low Level (Storage System Oriented)
*File striping: striping factor, striping size*
*File caching, buffer size*
*Storage pattern, storage device, I/O nodes*
*Migrate, purge within hierarchical storage system*

## Who Accesses and How?

## Where is the Metadata?

- Meta data provided by users or database
- File info used internally to optimize I/O
- Users specify manually
*Users provide both high and low level meta data*
*Manually choose collective / non-collective MPI I/O calls*
- Provided by database
*Apply I/O optimization rules to determine proper MPI-file info*
*Use of  collective / non-collective calls is determined automatically*

## MetaData Management System

## Rules to Determine I/O Strategies

## Application Programming Interface

- Initialization: register application, record arguments for each run
- Data association: build relationship between multiple datasets
- Load: find data location in the storage system from previous runs, determine best I/O calls by comparing access and storage pattern
- Save: choose file names, set file views, and provide hints of optimal I/O calls
- Finalization: close files and connection to the database

## Implementation of the MDMS API

## Meta Data Organized in Relation Database

## Meta Data Management Challenge

- What meta data to be collected?
*For reference only or performance improvement*
- How to classify meta data into levels?
*Levels of  programming, performance, file storage, etc.*
- How to organize and manage meta data?
*Relation tables in databases or XML files in XML database*
- Where to store the meta data for different levels?
*Database, files, or file systems*
# Presentation: 697084

## In the 0-5 km layer more than 60% is a priori, in 0-2 km layer it becomes more than 80%.

- If the MR around 700 hPa is roughly constant, then it can be shown that meas is the column O3 down to an effective pressure peff, given by

- Effect of A Priori on OMI total O3 retrieval

## Layer Efficiency Factors (aka AK)

- Layer 1: 253-506 hPa

- Layer 0: 506 hPa- sfc

- MARCH

## Cloud Effects

- Clouds are usually brighter than the surrounding atmosphere so the effective cloud fraction is usually larger than the geometrical cloud fraction. For thin clouds, such as cirrus, the effect is opposite.
- Radiative Cloud Fraction (RCF) concept has been developed to capture this effect.
- For mixed scenes containing ice and water clouds, most of the radiation is scattered from near the top of water clouds.
- Scattering cloud heights in UV/VIS are several km lower than that measured by thermal emission methods.
- OMTO3 (based on TOMS V8 algorithm ca 2003) doesn’t accurately capture these effects.
- OMDOAS Coll 3 data should be used for trop O3 studies.
# Presentation: 308534

## Slide 1

## Slide 2

## Ricky Hix and Cindy Jones welcoming guests at the check-in booth.

## Stephen Norris, Josh Cown, and Corrin Breeding getting vehicles parked.

## Alan Franzluebbers kicks off the field day by welcoming participants and introducing the schedule of events for the evening, including technical program and sponsored meal.

## Dennis Chessman delivering presentation on characteristics of tall fescue.

## Nick Hill addressing tour participants on the consequences of managing existing wild-type tall fescue versus renovating pastures with novel endophyte.

## Dennis Hancock presenting management alternatives for tall fescue.

## John Stuedemann (assisted by Amanda Limbaugh) talking about the effects of tall fescue – endophyte associations on beef cattle performance and production.

## Julia Gaskin pointing out the agronomic benefits and environmental implications associated with the use of poultry litter on tall fescue pastures in the Georgia Piedmont.

## Dinku Endale elaborating on observations of surface water runoff and quality from the on-going research with wild-type, endophyte-free, and novel endophyte being fertilized inorganically and with poultry litter.  A total of 7 treatments in 2.5-acre paddocks are replicated twice in this multidisciplinary research involving animal production, soil quality, and water quality.

## Posters were displayed under the roof of the animal handling facility.

## Pennington Seed representatives Wayne Tankersley and Chris Agee discussing the attributes of Max-Q tall fescue for pasture renovation in the region.

## Agrinostics owner Nick Hill at his booth describing the services his company offers for detection of ergot alkaloids in seed and forage samples.

## Participants at the Tall Fescue Field Day in Watkinsville GA.

## Participants at the Tall Fescue Field Day.

## A field day booklet was offered to participants.

## To receive a copy of the complete field day booklet, please email a request to:

- alan.franzluebbers@ars.usda.gov

## Thank you for attending the field day and supporting agriculture in the region.
# Presentation: 754540

## Status of Standard Replacing FIPS 55

**Geographic Names  Project**
**U.S. Geological Survey**
**U.S. Department of the Interior**

**Status of Standard Replacing FIPS 55**

**FGDC Subcommittee on Cultural and Demographic Data**
**June 17, 2008**

## Full Title

- 	Identifying Attributes for Named Physical and Cultural Geographic Features (Except Roads and Highways) of the United States, Territories, Outlying Areas, and Freely Associated Areas, and the Waters of the Same to the Limit of the Twelve Mile Statutory Zone

## A Geographic Feature is:

- Feature ID
- Name
- Location

- An entity on the landscape/seascape that requires identification, location, and attribution for information of government and the public having:

- Minimum Identifying Attributes

- Characterized and differentiated solely by function

## Supersedes

**ANSI X3.47:1988 [R2004]**,* Structure for the Identification of Named Populated Places, Primary county Divisions and other Entities of the U.S. and Its Outlying Areas for Information Interchange*
**FIPS PUB 55-DC3:1994**, *Codes for Named Populated Places, Primary County Divisions, and Other Locational Entities of the United States, Puerto Rico, and the Outlying Areas*

## Status of Proposal

- October 2007: Approved by INCITS L-1
- January 14, 2008 : Completed public review period
- Next Steps?

## Status of Data

- GNIS Feature ID superseded FIPS 55 Place Code as federal standard
- Census will maintain for internal use until after 2010 census
- Draft Census/USGS MOU for maintaining Place Code (now Census Code) and Class Code in the GNIS
- Completed reconciliation of Census and GNIS data
- Populated Places, Civil class, Census class records
- Census Codes mapped to Feature IDs; Class Codes applied
- 60,000 records added or revised in the GNIS(Thanks to Joe Marinucci and team!)
- FIPS 55 database and applications archived
- GSA/OPM geolocation codes added
- Mapped to Feature IDs
- MOU for continuing maintenance in the GNIS

## Status of Products and Services

- Census Codes, Class Codes, OPM Codes, GSA Codes
- Query/display/download from public web site: http://geonames.usgs.gov/pls/gnispublic/ click Search Federal Codes
- National, state, topical download files: http://geonames.usgs.gov/domestic/download_data.htm
- Customized files upon request
- On line maintenance of codes for authorized personnel
- Advising systems converting to Feature ID
- Commercial, state/local/federal government, etc.
- Project underway to integrate GNIS and *The National Map* vector data, databases, processes
- Expanded products, services
- Increasing data coordination with NGA HSIP and DHS

## Contacts

**Louis Yost**Acting, Executive SecretaryU.S. Board on Geographic Names
- (703) 648-4552
- lyost@usgs.gov
**Jennifer Runyon**Board on Geographic Names Senior Researcher
- (703) 648-4550
- jrunyon@usgs.gov

**Joan Helmrich**Names Coordinator
- (703) 648-4622
- jhelmrich@usgs.gov
**Dwight Hughes**Sr. Software Engineer
- (703) 648-5793
- dshughes@usgs.gov

## Thank you for your interest!

Questions?

- Questions?

**The End**
# Presentation: 672524

##  CFT Hardware

- Scintillating fibers, light guides
- VLPC chips-Visible Light Photon Counters
- 9600 chips for CFT
- 12608 chips for CFT+CPS+FPS
- 100864 individual pixels (12608 chips*8 pixels/chip)
- SIFT chips-
- SVX chips

- VLPC

- SIFT

- Scintillating fiber

- Light guide

- SVX

- trigger

## Monitoring and CalibrationGoals and Means

- Detection and diagnostics of broken, inefficient, or malfunctioning channels  (fibers, light guides, electronics)
- Setting and control of operating parameters
- VLPC: bias and temperature
- SIFT: threshold
- SVX: threshold
- LED light injected into the system
- Pulse height spectra measured in SVX chips
- The background simulated by second (so called background) LED

## Testing of VLPC chips now at Boeing

- LED illuminate VLPC chips
- Camac crate with LeCroy ADCs
- NIM electronics
- Windows NT Workstation with two CPUs
- DAQ: Object Oriented Program based on Microsoft Foundation Classes
- Two CPUs use MINUIT to fit pulse height spectra of every pixel to four gaussian peaks
- Access Database

- pedestal

- signal

##  Starting in AutumnCalibrating in Lab. 3

- LED induced spectra measured with and without background LED
- DAQ
- Embedded processors in VME crates with VRB modules and DART Fermilab Acquisition System. DART will be running in DØ for silicon tests. Also EPICS needed to download SVX chips
- Window NT-Paul Padley DAQ
- Database?

- VLPC

- SIFT

- Scintillating fiber

- Light guide

- SVX

**LEDs**

**S B**

**S**ignal
**B**ackground

## Setting and Control ofVLPC bias, SVX threshold 

- Temperature, will be determined at Boeing, it is part of chip’s characterization
- Bias for VLPC chips, threshold for SVX chips
- Bias: the bias at which chips’ efficiency is maximum.
- Both determined at Boeing at the rate of 20 MHz of single photoelectrons, LED generated background
- Both checked during test in Lab. 3
- We would like to repeat this in dedicated calibration runs during the store.

## Calibration Runs in Run IIPedestal runs

- Goal: Detection of dead and noisy channels
- Bias on VLPC chips set to 4.0 V
- Measured pulse height distributions with the use of SVX chips. The quantities calculated are:
- Mean of pulse height distribution
- RMS of pulse height distribution
- These runs are done outside the store

- 2*100864 numbers

## Calibration Runs in Run IILED runs

- Goal:to detail the performance of each chip
- Measured pulse height distributions for each pixel
- Dark current pulse height distributions
- LED-ON pulse height distributions
- Outside store
- During store. Minimum 40000 triggers needed. No background LED
- LED timing such that signal induced by LED comes in abort gap
- Fired LED generates L1 accept, L2 accept and L3 accept
- Analysis compares Beam OFF and Beam ON pulse height spectra
-  Gains and relative QE found by fitting pulse height distributions to multigaussian distributions
- Paul Padley using two processors, each 233 MHz fits 15 chips in 5 minutes                              12608 chips*(5min/15chips) = 2.9 days

- 2*100864 histograms stored and analyzed
# Presentation: 771922

## GSA Update

**Seventh ITIGC Meeting**
**May 2, 2005**

## Schedule 70 Sales Trend

**4.0**

**FY05 sales to date are 63% of last year’s total sales**

**Over 5,300 IT Contracts**

**Compound Annual Growth Rate (CAGR) = 17.11%**

## Slide 3

|  | Measure | Target | Actuals- March FY 05 |
| --- | --- | --- | --- |
| Provide Best Value for Customer Agencies and Taxpayers
 | FCI Business Volume | $20,700,000,000 | $11,285,470,099 (total as of April 26, 2005)
 |
|  | Schedules IT Services Price Competitiveness |  | TBD |
|  | Schedules IT Products Price Competitiveness |  | TBD |
|  | Number of customers trained | 9,823 | 5,778 (total) |
|  | Percent of customers satisfied with training | 90% | 91% (average) |
| Operate efficiently and effectively | Cycle time to process offers | 125.2 | 132.9 (average) |
|  | Cycle time to process mods | 22 | 20.5 |
|  | Percent of contracts reviewed with acceptable quality | 75% | TBD |
| Financial Accountability | FCI direct costs as a percent of CA revenue | 1.9% | 2.19% (average) |
| Carry Out Social, Environmental and Other Responsibilities as a Federal Agency | Number of contracts that include cooperative purchasing | Data collection in FY04 |  |

## Current Initiatives

**Hiring more Contracting Officers/Specialists**
**Training initiative for new management- branch chiefs**
**Internal cross functional training by Center associates**
**Adding voice to IT Schedule in Fall**
**New SIN on IT Schedule-Refresh #15 April 29, 2005:  **
**132-60:  Authentication Products and Services (Digital Certificates)**
**FTS will set up BPA to replace ACES**

## IT Center Reorganization

**Some branch chiefs hired (9 to date)**
**ITAS division operational**
**Division Director hired: Deborah Lague**
**Division Functions:**
**FOIA requests**
**Controlled correspondence**
**Audits**
**Liaison to all support offices**
**Overarching pricing issues**

## Other News

**URSA Reports are online at www.gsa.gov/itcenter**
**Federal, state, local sales**
**Sales by business type**
**Top 25 IT vendors by sales**
**Will be distributed at all council meetings**

## 8th ITIGC Meeting

**8****th**
**Held in August or September**

## Upcoming Events

**GTC West 2005, May 11-13, Sacramento, CA**
**AFCEA TechNet International 2005, May 17-19, Washington, DC**
**Spring New Mexico Series, May 23-26, New Mexico**
**GovSec, May 25-26, Washington, DC**
**Web-Enabled Government Conference, June 2, Washington, DC**

## Policy Issues/Concerns

**Scope reviews**
**DCAA/Subcontracting**
**ODC’s**
**Teaming/IFF**
**FTS/FSS Reorganization**
# Presentation: 204509

## Distribution of Agency Performance Awards

**Distribution of Agency Performance Awards**

- All GS employees under past and current appraisal systems

**Data on Cash Awards clearly show differentiated levels of recognition**:
-  Compares the number of monetary performance awards given under the previous
-   system (over a 4-year period) and current system (over a 7-year period)
-  Distribution of awards shows the value of contribution matrix works to make meaningful
-   distinctions in recognizing and rewarding employee performance
-  Agency’s top performers are those depicted on the right side of the graph
# Presentation: 396430

## MiniBooNE/HARP Status

- A little history
-  /K Production Cross Sections
- 	*Why do we care?*
-  The MiniBooNE Target
-  HARP-MiniBooNE project
-  Future Plans

*L. Coney, G. Mills, D. Schmitz, M. Sorel, R. Stefanski*

## 1994 Began development of a FNAL Booster neutrino beam design and GEANT3 simulation code
1997 MiniBooNE/Booster beam proposal, with the realization that /K cross sections were poorly understood (GEANT3/FLUKA)
2000 First discussions with HARP people on target calibration (Neutrino 2000, Sudbury, ON)
2001-2 GEANT/MARS code and new GEANT4 simulation code
August 2002 Recorded >20 million 8.9 GeV proton triggers on several replica beryllium target configurations at the HARP experiment

- 1997 MiniBooNE/Booster beam proposal, with the realization that /K cross sections were poorly understood (GEANT3/FLUKA)
- 2000 First discussions with HARP people on target calibration (Neutrino 2000, Sudbury, ON)
- 2001-2 GEANT/MARS code and new GEANT4 simulation code
- August 2002 Recorded >20 million 8.9 GeV proton triggers on several replica beryllium target configurations at the HARP experiment

- A little history...

## Hadron production cross sections, why do we care?

- Calculation requiring flux

- Want to measure this...

## Flux calculation:

- Known very poorly!

- MC calculation

## The MiniBooNE Neutrino Beam

-  Studies show that the largest uncertainty in the flux prediction is the knowledge of the /K production cross sections
-  Different models show up to *a factor of 2-3 difference* in neutrino rates in MiniBooNE!!
*** **It is vital to calibrate the target in a proton beam*

- e?

## Our target:

## Enter HARP...

*Enter HARP...*

-   PS214 at CERN (HARP) was designed to measure meson
-    production over nearly 4 solid angle from 1.5 GeV/c to 24 GeV/c
-    across a range of materials (H, D, Be, C, O, N, Al, Sn, Ta,  Pb)
-  At Neutrino 2000, HARP was approached by HARP and
-    asked if MiniBooNE would like to us their apparatus
-  October 2001: First run with 2%  Be target at 8GeV/c
-  August 2002 : MiniBooNE replica targets record >20 million
-   triggers  (5% , 50% , 100% )
-  Expect first results from MiniBooNE data analysis in 2003

## Slide 8

## Slide 9

## Slide 10

## MiniBooNE replica targets:

## Running conditions:

-  Beam size : x,y RMS < 3 mm
-       (target core diameter 9.5 mm)
-  1000-8000 particles/spill
-  500-1000 events/spill (TPC readout
-  Spills at 0.5-1 Hz depending on PS operations
- Data taking over a period of 7 days
- In general, the system was stable, except one period of TPC problems

## Slide 13

## Data Analysis:

- Reconstruction and  calibration code under development (HARP collaboration)
- We are helping with the GEANT4 simulation and reconstruction code (Kalman filter for forward spectrometer)
- Expect first round of n-tuples in December/January time frame

## GEANT4 geometry of Replica target:

## Future Plans

- Near term: help HARP collaborators with calibration and code
- MiniBooNE/GEANT4 – HARP/GEANT4 comparisons (M. Sorel, + us)
- Produce neutrino flux from HARP cross section results, L. Coney, G. Mills, R. Stefanski,... + ?
# Presentation: 236296

## X-ray Fine Structure measurements of Cu in sputtered CdTe films(or, where does the Cu go?)

**Shine Liu, Victor Plotnikov ****(reported by Al Compaan)**
**The University of Toledo**
**Jeff Terry (IIT, Notre Dame, and Argonne APS)**

## Sample preparation

- Procedure:
**2********m CdTe film on Qtz.**

**CdCl****2 ****treatment in dry air**

**40~200Å Cu**

**200****o****C Diffusion in N****2 ****for 45 min.**

- HCl etching to remove elemental copper left on surface

- CdTe based cell

- EXAFS samples

- 3mm Glass

- 2.3m CdTe

- TCO

- 0.13m CdS

- 40Å Cu

- 200Å Au

- 1mm Qtz.

- 2m CdTe

- 40Å Cu

- optional

- 200Å Au

## Global view of X-ray absorption

- Te L edge

- Cd L edge

- Cu K edge

- Cd K edge

- _Global view of X-ray absorption_

**(1/********m)**

- Cu K edge

- Simulation of X-ray absorbance in CdTe: Cu (5%)

- Cu foil EXAFS data

## Introduction to EXAFS (extended x-ray absorption fine structure)

**Cu**

**Cd**

**Te**

**Cu**

**h********0**

**h********1**

**h********0**

**Cu  K******

**e****-**

**h********3**

**h********2**

**n= 1**

**n= 3**

**n= 2**

**Incident X-ray beam**

**I****o**

**I****f**

**Cu**

**I****o**

**I****t**

**I****f**

- Or Iabs. **Cu fluorescence** intensity

- Ee() = ho - Eo

- o

- Ee

- k=1/

- e-

**X-ray Fluorescence **

**h********0**

## Fluorescence Scan

**Cu K******** ****fluorescence peak**

- _Fluorescence Scan_

**Scattered Incident X-ray at 9.5KeV**

- Cd and Te L fluorescence

**Cu K******

## Comparing the X-ray fine structure

- (The amplitudes are not significant.)

- Cu foil

- CuCl2

- Cu2O

**Cu****2****Te**

**Non CdCl2 treated CdTe : Cu**

- CuO

- Cu foil

- CuCl2

**CuO**

- Cu2Te

**CdCl****2**** treated CdTe : Cu**

**Cu****2****O**

## Phase-uncorrected Radial distribution function - (R)

- Te

- Cu

**(Å)**

**Cu****2****Te**

**(Å)**

**Cu****2****O**

- CdCl2 treated CdTe film + diffused Cu

- Non-treated CdTe film + diffused Cu

## Plausible explanation: oxidized copper on grain boundaries dissolved by HCl

- _Cu__2__O lost after HCl etching_

## cylinder model for UT sputtered films

- Ref:  M.M. Al-Jassim, R.G. Dhere, K.M. Jones,2nd PVSEC Conference,6-10 July 1998

- Sufficient Cu for monolayer coverage of Cu2O along grain boundaries

- 40Å evaporated Cu generate ~ 3.5Å Cu2O layer covering all the grains.

- 0.5 m

- 2 m

- Cu2O

## Conclusions

- In polycrystalline CdTe film without Cl treatment, Cu resides predominantly in a Cu2Te nearest neighbor environment.
- With Cl in air treatment, Cu resides primarily in a Cu2O nearest neighbor environment.
- etching experiments indicate (indirectly) that the Cu2O is mostly decorating the grain boundaries.
- Cu2O appears to change phase to CuO during light soak.
- Cu2O probably plays a role in passivating grain boundaries, but we need confirmation of the Cu location.
# Presentation: 142958

## Colonies of ANTS supporting the advanced habitation and development of spaceMC34-55

**Dr. Michael L. Rilee****1****, Dr. Steven A. Curtis****2****, Dr. Pamela E. Clark****1****, Dr. Cynthia Y. Cheung****2****, Walter F. Truszkowski****2**
**1****L-3 Communications GSI; ****2****NASA Goddard Space Flight Center**

**DISTRIBUTED SPACE SYSTEM**

**A****utonomous**
**N****ano-****T****echnology**
**S****warm**
**Prospecting**
**Asteroids**
**Mission**

**Advanced Application**

**End-to-End Architecture**

**NANO-TECHNOLOGY**

**SWARM**
_**Division of Labor**_

**SPECIALIZATION & TEAMWORK**

**Near-term Application**

## SCALABLE SELF-RECONFIGURATION

**The Robert C. Byrd Green Bank Telescope, 100 meter diameter, with an Active Surface of 2209 actuators for high frequency radio astronomy, improvements will include holographic imaging and laser ranging for improved surface figure. Detail shows truss work behind the reflecting surface (NRAO/AUI/NSF).  Addressable Reconfigurable Technology (ART) will enable launch packaging and in-space deployment of such structures.**

**SCALABLE SELF-RECONFIGURATION**
# Presentation: 327801

## TROPOSPHERIC WORKING GROUPBOUNDARY LAYER MIXING

**Look at profiles -  Harvard (GISS CO, where disagreement is worst)**
**Dan will get monthly average maximum BL height from GISS ? met. Fields**
**Conference call with interested parties- Decide on strategy, implement, rerun full chemistry runs**
**Need to look at simple tracer runs to make sure things are ok.**
**Start runs by ?????**
**Put bulk of comparisons on web site**

## DIAGNOSTICS

**Monthly averaged rates for all thermal and photolytic processes in model – Need post-process Ox (to be defined by Harvard), HOx, P and L of CO, Harvard – Code?**
**3-D vertical advective fluxes (monthly average)**
**2-D tendencies for each operator (latitude and “height”}**
**Deposition fluxes**
**Emissions**
**WANT: Global budgets of ozone, CO, methane, HOx....**
**Diagnosing met. Fields: water vapor, clouds, cloud cover  (see papers**
**WE HAVE SUFFICIENT DIAGNOSTICS FOR FIRST GENERATION OF MANUSCRIPTS**

## PAPERS“FIRST GENERATION” – NO NEW MET FIELDSDRAFTS BY MARCH 31

**I. DESCRIPTION OF PHYSICAL COMPONENTS OF MODEL, DIFFERENCES AMONG MET. FIELDS (Considine) **
**Model Description (Rodriguez)**
**Met. Field comparison/validation for chemistry (H****2****O, convective mass fluxes, clouds, boundary layer) (Prather, Rodriguez, Bergmann,Penner)**
**Rn, Pb  ****7****Be**
**III. DESCRIPTION OF CHEMICAL COMPONENTS OF MODEL/MET. FIELD DIFFERENCES (Rodriguez; Jacob)**
**OH, CH****3****CCl****3**** lifetimes**
**Global budgets of O****3****, CO, CH****4****...**
**2-D tendencies **
**II. Comparison to data (Logan) (Put bulk of comparisons in web site)**
**MOZAIC (Prather, Harvard)**
**Use simple tracers for examples**
**Chatfield, Wang, etc**
**IV. Numerical paper using simple tracers (Prather) **
**Does it improve comparison to observations?**

## Second Generation Papers

**SECOND GENERATION**
**V. Compare two chemical mechanisms (Considine) Second generation**
**NO NEW MET. FIELDS**
**VI. Lightning (Pickering; Chatfield) Sensitivities ****GEOS-TRMM 1998-2001****; others;? **
**VII. Sensitivity to wet scavenging (in conjunction with aerosols?)**
**VII. Hydrocarbon ratios (Wang) (Need HCs at each time step; Fields? C2Cl4, CO, Jacob)**
**VIII. IPCC Impact – Prather, Jacob, Stratospheric people?, Rodriguez**
**Methane feedback lifetime**
**Future changes in ozone, CO, **
**Future OH – Lifetimes**
**Air quality; intercontinental transport?**
**Update GCM fields in view of  future climate forecasts Which ones? Find out: Daniel: GISS; Prather: UKMet; NCAR: Logan; fvGCM: Rodriguez**

## More generations?

**Hindcast 15-40 years? NCEP – MATCH (Logan)**
**Specific campaign/satellite data**
**2000-2001 (****EC-Oslo; NCEP; fvDAS****) Compare all three for campaigns during this period**
**OSSEs**
**GMAO**
# Presentation: 735996

## GPRA:  New Climate Observations Introduced

-      FY2005 Target: 1014 new ocean observing platforms deployed and reporting;
-      Jul 2005:  913 total ocean observing platforms (relative to total FY04 deployments); 514 ARGO floats

- Jul. 05

**B**

## GPRA:  Reduce the Error in Global Measurements of Sea Surface Temperature

-      FY05 target: 0.5 °C; Long-term Target: Error of 0.2 °C by 2008
-      Long-term measure:  annual targets, progress reported quarterly

- More rapid expansion of the in situ network over the next several years will minimize the satellite bias error, enabling more accurate global sea surface temperature from a combination of satellite and in situ measurements.

- Note: this measure is proposed as a new GPRA for FY2006; it is already reported on quarterly

- Satellite bias error: the systematic difference between satellite-derived vs. in situ measurements of sea surface temperature

- Jun. 05

**B**
# Presentation: 499283

## Minority Academic Institutions ProgramSelected Authorities

- Executive Order 13125 (June 7, 1999)
- Increasing Participation of Asian Americans and Pacific Islanders in Federal Programs
- Executive Order 13216 (June 6, 2001)
- Increasing Participation of Asian Americans and Pacific Islanders in Federal Programs
- Executive Order 13230 (October 12, 2001)
- President's Advisory Commission on Educational Excellence for Hispanic Americans

## Minority Academic Institutions ProgramSelected Authorities

- Executive Order 13256 (February 12, 2002)
- President's Board of Advisors on Historically Black Colleges and Universities
- Executive Order 13270 (July 3, 2002)
- Tribal Colleges and Universities
- Executive Order 13316 (September 17, 2003)
- Continuance of Certain Federal Advisory Committees
- Executive Order 13385 (September 29, 2005)
- Continuance of Certain Federal Advisory Committees and Amendments to and Revocation of Other Executive Orders

## Minority Academic Institutions ProgramMAI Overview

- Historically Black Colleges and Universities (HBCUs)
- 20 U.S.C.A. §1060
- HBCU Contributions (Black, low income, educationally disadvantaged)
- Discrimination which needs a remedy
- Strengthen facilities, financial management, academic resources to decrease reliance on federal resources
- White House Initiative on HBCUs, 103 Schools
- Minority Academic Institutions (_[Click here](http://www.ed.gov/about/offices/list/ocr/edlite-minorityinst.html)_)
- Search “Minority Institutions” on _[www.ed.gov](http://www.ed.gov/)_
- Helps EPA reach human capital goals

## Minority Academic Institutions ProgramMAI Overview

- Tribal Colleges and Universities
- 32 Federally recognized Tribal Colleges
- Tribes treated as sovereign nations
- 25 U.S.C. §450 (_[Click here](http://www.law.cornell.edu/uscode/search/display.html?terms=450&url=/uscode/html/uscode25/usc_sec_25_00000450----000-.html)__)_
- “Federal domination of Indian service programs has served to retard rather than enhance the progress of Indian people”
- 25 U.S.C. §2501 (_[Click here](http://www.law.cornell.edu/uscode/html/uscode25/usc_sec_25_00002501----000-.html)__)_
- United States has an obligation to assure maximum Indian participation in the direction of educational services

## Minority Academic Institutions ProgramEPA’s MAI Program 

- Transferred to OSDBU in 2007
- Outreach Resources
- Alignment with other federal agencies
- Create measureable goals, raise visibility
- Do **M.O.R.E.** with MAIs
**M**ission Implementation
**O**utreach
**R**esearch/Review
**E**xchange

## Minority Academic Institutions ProgramEPA’s MAI Program

- Data Measurement
- Annual reports
- Improved tracking
- Strategic Planning & Policy Review
- Policy Review
- Resource Allocation
- Implementation
- Memoranda of Understanding
- Internal/External Awareness and

## Minority Academic Institutions ProgramEPA’s MAI Program

- Jonathan V. Newton
- Minority Academic Institutions Coordinator
- U.S. EPA Office of Small and Disadvantaged Business Utilization (OSDBU)
- (202) 566-1981
- Newton.Jonathan@epa.gov
- www.epa.gov/osdbu
# Presentation: 673705

## Survival Factors

- Emergency Response

## Emergency Response Timeline

- 12:49 p.m. first call to DC 911
- 12:50 p.m. DC 911 informed Metro Police Dept.
- 12:54 p.m. fire department dispatched
- 12:58 p.m. responders began arriving
- 1:01 p.m. responders began search of train 105
- 1:02 p.m. incident command was established
- 1:04 p.m. responders confirmed train 105 empty

## Emergency Response Timeline

- 1:22 p.m. responders began entry into the
- 		    rear car of train 703
- 1:31 p.m. window removal kit is requested
- 1:53 p.m. responders report trying to use a
- 		    window to gain entry into the car
- 2:10 p.m.  confirmed that the car is empty
- 2:25 p.m. rescue operation was complete

## Conclusion

- The emergency response to the accident was well coordinated and effectively managed.

## Access to WMATA trains

## Access to train 703

## Conclusion

- Emergency access/egress points for the Washington Metropolitan Area Transit Authority’s equipment do not provide adequate means for emergency responder entry or passenger evacuation.

## Regulations

- Federal Railroad Administration requires a minimum of  four window exits and two exterior doors.
- Federal Transit Administration has no minimum standard for emergency exits.

## Slide 9
# Presentation: 453790

## FDA Roles and Timetable for Production of Licensed Egg- Based Pandemic Vaccine from Newly Emerging Strain

**FDA Roles and Timetable for Production of Licensed Egg- Based Pandemic Vaccine from Newly Emerging Strain**

- Reassortant virus*
- (3-6 wks)

- Genetically engineered
- virus (2-3 wks)*
- (FDA also involved)

- CDC/WHO confirm antigenic
- and genetic relatedness*
- (3-6 wks)

- Production of
- purified HA*
- (4-8 wks)

- Distribute antisera

- Manufacture seed
- virus (3-12 wks)*

- FDA tests seed virus
- (1-2 wks)*

- Potency antigen
- (2-3 wks)

- Package/Print label
- & package insert
- (3-6 wks)

**Distribution of Vaccine**

- Investigational lot

- Clinical Trials
- (8-12 wks)*

- Produce or Use Library Reference Virus*

- Ongoing WHO and CDC Global Surveillance

**Pandemic Virus Identified**

- Immunize sheep
- (3-6 wks)*

- Process serum
- (2-3 wks)*

- Monovalent vaccine
- bulk (2-3 wks)

- FDA Potency testing
- (1-3 wks)

- Formulate and
- lot release test (3 wks)

- Fill containers
- (1 wk)

- FDA VRBPAC
- recommendations

**12**

**16**

**19**

**21**

**28**

*With clinical trials*
*(22-40 wks)*

- ACIP Recommendation

**40**

- FDA tests reference virus

**weeks**

- FDA

**FDA reviews & approves**
** ****licensing or supp. application,**
**FDA releases product**

-  ** = preparative steps that could be taken ahead of time with sufficient resources & warning for threat strains*

*    **= Activities involving FDA assistance & review activities*
# Presentation: 164736

## AI#24:GI Proposal Technical Evaluation

**David Band (GSSC/JCA-UMBC)**
**Steve Ritz (GSSC)**

## GUC Action Item #24

**Action Item #24:  **
**Propose the responsible organization (Instrument Teams or GSSC) for running the technical feasibility evaluation of GI proposals.**

## Proposal

**The GSSC is responsible for administering the peer review of the GLAST GI proposals on behalf of NASA HQ.**
**the GSSC is responsible to ensure that a technical review of the proposals is included in the peer review process. **
**the GSSC will manage the flow of proposals to, and the evaluations from, the instrument experts who will carry out the technical review prior to the scientific peer review.**
**The instrument teams will provide the experts who will carry out the technical reviews in a timely manner.  **
**these experts will determine whether a proposal is technically feasible, but will not determine whether the proposal should be accepted or rejected.**
**the wording of the charge to the experts for the evaluation will be reviewed by the GUC and will be available as part of the proposal instructions.**
**this is a significant contribution to the mission by the instrument teams.**
**The results of the technical review will be available to the science peer review panel and will be included in the feedback to the proposer, independent of outcome.**

## Instrument Team Reaction

**Both Peter and Chip accept this commitment of instrument team resources.**
**Chip added the following comments based on the *****CGRO***** experience:**
**“****The conflict of interest problem is real, and involving as few instrument team members as needed will help control this.”**
**Recommends “narrowing the instrument reviewer's focus by requiring a section in the proposal specifically addressing technical feasibility.”**
**Peter also commented on the conflict of interest issue.**
# Presentation: 870142

## Pentaquarks 

- August 11

## Recently Discovered

- Narrow resonance in
- K+n
- 1540 GeV
- Width <9 MeV
- Mass too low to be charm
- Why then is K+n decay suppressed?
- Above kinematic threshhold
- If strong decay, the particle has quark content
- uddus
- Pentaquark!
- Baryon +1, S=+1
- (Opposite of )
- Between 4 and 5 sigma, seen in 3 detectors

## Isospin

- Isospin of pentaquark?
- Naturally, it is probably Isospin 2
- Given s  + 4 permutations of u and d, possible to make 5 possible charges
- From –1 to +3
- Decay to Kn violates isospin
- Explains narrow width

## Wacky Particle

- 1540 turns out to be an odd place
- Decays of 0,+1, +2 charge are strong-allowed but violate isospin
- Narrow
- Decay of Q= –1 (isospin Iz=-2) partner
- Quark content is dddds
- Decay must be n-K0
- Below kinematic threshhold (1567)
- Weakly decaying!!!!

## Wackier Particle

- There is an Iz=+2 particle
- uuuus
- Triply charged!!!!
- Lowest triply-charged decay state
- p+
- Below threshhold
- Also a weak decay
- “Long” lived
- Guess at K-type lifetime
- Triply charged means
- x9 ionization
- ~270 ADC counts
- Long-lived (likely cm), highly ionizing particle

**!**
# Presentation: 709173

## Maximizing Your Fuel EconomyWhat you can do save at the pump

## Keep Your Engine Properly Tuned

- Fixing a car that is out of tune or has failed an emissions test can improve its gas mileage by an average of **four percent. **
- Fixing a serious maintenance problem, such as a faulty oxygen sensor, can improve your mileage by as much as **40 percent**.

**Notes:**
Though results vary based on the kind of repair and how well it is done.
Tune ups have changed, fewer parts to replace, show scan tool.

## Check & Replace Air Filters Regularly

- Replacing a clogged air filter can improve your car's gas mileage by as much as **10 percent**.
- Your car's air filter keeps impurities from damaging the inside of your engine.
- Saves gas.
- Protects your engine.

**Notes:**
Air filter intake is in front and low to the ground which can pick up road dirt and debri

## Keep Tires Properly Inflated

- Improve your gas mileage by more than **three percent** by keeping your tires inflated to the proper pressure.
- Under-inflated tires can lower gas mileage by .4 percent for every 1 psi drop in pressure of all four tires.
- Properly inflated tires are safer and lastlonger.

## Use the Recommended Grade of Motor Oil

- You can improve your gas mileage by **1-2 percent** by using the manufacturer's recommended grade of motor oil.
- Using 10W-30 motor oil in an engine designed to use 5W-30 can lower your gas mileage by 1-2 percent.
- Using 5W-30 in an engine designed for 5W-20 can lower your gas mileage by 1-1.5 percent.
- Look for motor oil that says "Energy Conserving" on the API performance symbol to be sureit contains friction-reducing additives.

## Coming this month to Irving!

**Arlington  District Office**
- 4634 S Cooper Suite 176 Arlington, TX 76017(817) 417-5636

**Dallas-Central  District Office**
- 3001 Knox Street Suite 102 Dallas, TX 75205(214) 526-7911

**Dallas-North  District Office**
- 5445 Beltline Road Dallas, TX 75254(214) 526-7911

**Fort Worth  District Office**
- 5431 S. Hulen St. Fort Worth, TX 76132(817) 370-3000

**Garland  District Office **
- 1237 Northwest Highway Garland, TX 75041(972) 926-1535

**Lewisville  District Office**
- 713 Hebron Parkway Suite 270 Lewisville, TX 75057(972) 316-5660

**North Tarrant County  District Office **
- 3001 Highway 121 Suite 250 Euless, TX 76039(817) 858-9383

**Plano  District Office **
- 7200 Independence Pkwy Suite 224 Plano, TX 75025(214) 526-7911

***Coming this month to ******Irving!***
# Presentation: 203508

## CVISN Pilot State Kick-off

**CVISN Pilot State Kick-off**

**Partners Enhancing Motor Carrier**
**Safety and Efficiency**

## Pilot Program Overview

- An Introduction to CVISN
- Pilot Program Plan Overview

**Federal Highway Administration**

- Prepared for:

**Partners Enhancing Motor Carrier**
**Safety and Efficiency**

## Roles and Responsibilities

## CVISN Pilot State Kick-off Attendance Sheet

## CVISN Pilot State Kick-off Roles and Responsibilities Supplement

- CVISN Project Manager	at least 75%; better if 100%
- CVISN System Architect	at least 75%; better if 100%
- CVISN Deputy PM		at least 75%; better if 100%
- Executive Sponsor		varies
- Agency project manager	varies
- Legislative focal point	varies
- Legacy system owners	varies
- See pages 4-5 and 4-6 of Pilot Program Plan

## CVISN Pilot State Kick-off SAFER Demonstration Instructions

- Select Dialup network
- Select ISAFER1
- Enter Northpd1 and pdnsafe09
- enter same user ID and password
- Select Netscape navigator
- page through display
- enter USDOT number 4
- Select search
- Select carriers
- pull down
- select states
- search
# Presentation: 421244

## Spacesuit Glove Liner with Enhanced Thermal Properties for Improved ComfortTriangle Research and Development Corporation, Raleigh, NC

- Innovation
-   Developed Micro-encapsulated Phase Change  Materials (MPCM)  as a new
-      thermal management system for fibers and fabrics.

- Accomplishments
-   MPCM can be as much as four times more effective than
-    systems that utilize trapped air for  insulation

- Commercialization
- Boston Harbour, LLC of New York City has partnered with Outlast Technologies, Inc. of Boulder, Colorado to launch a complete line of Men's and Ladies Casual Outerwear, utilizing Outlast® liners with revolutionary Adaptive Comfort® technology.  Under the brand PROSHIELD "Smart Apparel" consumers can experience all day comfort powered by Outlast's patented phase change fabric technology. This same technology, used in EvenTemp® Bedding by Wamsutta®,
-     was chosen as one of Time Magazine's Inventions of the Year in 2002.
- The firm has announced  five new relationships with Asian manufacturers at Outdoor Retailer Summer Market. The manufacturers include Itochu, Inoac, Daiyu, Tiong Liong and P.T. Tomenbo. A complete line of OUTLAST branded phase change (PCM) fabrics and foams sourced in the Far East are available for Fall `02 product lines.
- Licensed  to Outlast Technologies, Inc.
- Marketed under the trade name Outlast® Temperature Regulation and your Own Comfort Zone TM.
- Covered by multiple US, European and Japanese patents.
- US Patents include #4756958 and #5366801 and others pending
- Primary target market is the outdoor recreational and occupational clothing and attire markets and industrial applications are other potential sectors.
- Currently 30 products are currently available the consumer that contain Outlast® Temperature Regulation. It is anticipated that Outlast  will be used in many more consumer clothing applications  by 1999.
- Sustained employment at TRDC and was the foundation basis of Outlast which currently employees about twenty people.

- Government/Science Applications
-   Outlast® flight gloves for aviators are currently listed
-    with GSA  for all  components of the USG.
-   Ongoing programs with the USG include evaluation of
-    Outlast® crew socks,  undergarments and thermally
-    protective life  jackets for the US Navy.
-  Ongoing program with NSF to develop  microcapsules
-    that  with stand higher  temperatures.

- Points of Contact:      NASA Collin Hieger:-281-483-1803    Outlast technologies, Inc. Bernad Perry:-303-581-9029 Ext.17
- 1988  SBIR Phase I ; NAS# 9-18110 ; SS # 09-001

- Johnson Space Center     Date of Update 3-2003     09-41

- Representation of Outlast® FabricUsage
# Presentation: 488471

## Slide 1

## The Engine Behind NASA Direct Readout

- The **Direct Readout Laboratory** (DRL) acting as the implementation arm of NASA’s Direct Readout Program endeavors to:
**Identify and understand the needs of a global community that use NASA’s Direct Broadcast data.**
-           -  Promote synergy between NASA, the community and
-               interdependent direct broadcast data users
-           -  Act as a technical conduit between the mission and the public
**Guide the direct readout community and NASA’s Direct Broadcast Earth science missions.**
-           -  Bridge mission planning based on lesson’s learned and the
-               establishment that use NASA Direct Broadcast
-           -  To provide technical and implementation insight to new missions
-               that wish to use Direct Broadcast
-           -  Educate on the importance and utility of NASA’s data
**Enable**
-           -  The utility of NASA’s Earth science data
-           -  Technologies for decision-support infrastructure
-           -  Technology solutions for real-time and regional applications
-           -  Continuity among missions to minimize end-user impact
-           -  Real-time applications support systems

## Driving force for DRL Technology Development

- 	Utility and transportability of Earth science data
- 	Modularity, scalability, portability & extensibility of 	DR Tools
- 	Real-time data processing tools
- 	All technologies must function outside the lab
-       Utility via the promotion of standards in pre 	processing sub-systems, SPAs interfaces, 	visualization and real-time processing systems

## High Level View of the DR Demo

- DR Processing
- Environment

- SPA Wrapper

- Science
- Processing
- Algorithm (SPA)

- Pre-
- Processing

- Direct Broadcast
- Data Stream

- Packet Processing
- RDR/Level0 Formatting
- Real-time Instrument
-      data streaming

- Anc/Aux/IPs
- Data Input

- Real-Time Instrument-specific Data Streaming

- Remote Real-time
- Data Viewing

- GIS Data Product
- Viewing/Analysis

- Product
- Reformatting

- HDF to GeoTIFF

- NPP In-Situ Ground System (NISGS)

- RT Cluster
- Process
- Monitoring

## Slide 5

## DRL Technology Roadmap

- Completed Build 3 of NISGS – supporting legacy multi-mission
- To provide the processing framework for the International Polar-Orbiting Processing Package (IPOPP)
- Make available modular technologies to the public one year prior to NPP launch
# Presentation: 665095

## Pipeline Industry Recording Systems Overview

- John C. Wallace
- Teledyne Brown Engineering
- Control Applications

*International Symposium on Transportation Recorders*

## Introduction

** ****Temperature**
** ****Pressure**
** ****Flow Rate**
** ****Contact Closure**
**o**

**Transducers**

**Pipe Line**

**Site A**

**Site B**

**Site C**

**Site D**

** ****RTUs**
** ****PLCs**
** ****EFC**
** ****Chromatographs**
** ****Unit Controllers**
- c

**Field Devices**

** ****Acquire Data**
** ****Process Data**
** ****Record Data**
** ****Control Functions**
** ****Communicate**
- c

**Field Devices**

**Central Facility**

** ****Communicate**
** ****Process Data**
** ****MMI Functions**
** ****Record Data**
** ****Control**
**   ****(Issue Setpoints)**
- c

- Recording

- At Remote Sites

** ****1. Periodically**
** ****2. Event Driven**

- Recording

** ****Accumulator**
** ****Hourly Totals**
** ****Daily Totals**
** ****Alarm Conditions**
**   ****Transducer Failure**
**   ****Control Failure**
** ****Maintenance Record**

- At Remote Sites

- Recording

** ****Hourly Totals, Daily Totals,**
**   ****etc.**
** ****Alarm Conditions**
**   ****From Remote Site**
**   ****Central Site**
** ****Maintenance Record**
** ****Weather Information**
** ****Contract Data**
** ****Forecasted Deliveries**

- At Central Site

- Recorded Data Applications

**Most applications are real-time applications which do not require recorded data.**
**Recorded data** **is only used to backup the central site.**

- At Remote Site

- Recorded Data Applications

** ****Data are usually recorded first in an “on-line” historical database which allows for fast access.**

- At Central Site

**v**

- Recorded Data Applications

**Data are usually recorded first in an “on-line” historical database which allows for fast access.**

- At Central Site

**v**

**On-Line**
**Historical**
**Database**

**A historical record of real time data and all events including alarms are kept in this database.**
**Hourly, daily, and other processed data are stored.**

- Recorded Data Applications

**Data is processed in real time and moved periodically to a Relational Database.**

- At Central Site

**v**

**On-Line**
**Historical**
**Database**

**Relational**
**Database**

- Recorded Data Applications

**Data is processed in real time and moved periodically to a Relational Database.**

- At Central Site

**v**

**Relational**
**Database**

**The RDB is available to company personnel who have access privileges.**
**This includes the operations group.**

- Recorded Data Applications

**Data is saved to discs for long term storage.**
**Removable media is used for archival purposes.**

- At Central Site

**v**

**Relational**
**Database**

## Questions?

**Pipe Line**

**Site A**

**Site B**

**Site C**

**Site D**

## Pipeline IndustryRecording Systems

- Pipeline IndustryRecording Systems

- John C. Wallace
- Teledyne Brown Engineering
- Control Applications

*International Symposium on Transportation Recorders*