BEE-spoke-data/govdocs1-by-extension huggingface dataset:
# Presentation: 267453

## Conversion to EPICS R3.14

- Mark Rivers

## New capabilities
Progress in converting synApps/GSECARS
Outstanding issues
Work to be done

- Progress in converting synApps/GSECARS
- Outstanding issues
- Work to be done

- Outline

## New Capabilities

- Canberra AIM software runs on any system with libnet and libpcap (Linux tested, Solaris and even Windows should work)
- DXP software runs on Linux with XIA’s Saturn model (uses EPP parallel port)
- All synApps device-independent records run on Linux
- mpfSerial runs on Linux, all serial support in synApps should work (e.g. Keithley 2000, serial motor controllers, etc.)

## What is synApps

- motor (motor record and devices)
- mca (multi-channel analyzer)
- ip (serial devices)
- ip330 (A/D IP module)
- dac128V (D/A IP module)
- ipUnidig (binary IP module)
- camac (CAMAC support)
- dxp (XIA DXP for CAMAC and parallel)
- quadEM (APS quad electrometer VME/fiber)
- std (everything not in above!  New records, scaler, etc)

## Progress in Converting synApps to 3.14

- Goal: Convert all of GSECARS sector 13 to 3.14.3 during the current shutdown (September 03).
- Philosophy to date
- Convert all non-VME specific support to OSI
- Convert VME-specific code to OSI system calls, except hardware communication
- Convert VME hardware communication to devLib so it can work with RTEMS
- Following applications are “complete” in steps 1-2 above
- ip330, ipUnidig, dac128V, camac, dxp, mca, quadEM
- motor
- ip needs MPC
- std needs conversion of some devices

## Outstanding issues

- devLib API is not complete
- Does not support the “fpp” context  for saving/restoring floating point context in interrupt routines.  Need to enhance?
-  mpfSerial on vxWorks no longer supports setting parity, stop bits, etc.
- Should change generic serial record to not set device parameters at initialization?
- VXStats device support
- Scaler record/device support sometimes crashing non-Joerger scalers
- Issue with CA and sequencer (current tech-talk thread)

## Work to be Done

- Complete std conversion
- See Outstanding Issues
- CCD detector support.  I’ve started this.
- I’ve started on this.  Common EPICS interface for control of CCD (and image plate) detectors (Roper, Bruker, MAR).
- Common database and multiple SNL programs.
- SNL programs will automate  manufacturer’s control program (WinView, marCCD, etc.).
- Different approach from Brian Tieman’s CAS server, which goes to DLL layer, bypassing manufacturer’s control program.
- Industry Pack on Linux?  Would make Linux IOC a viable approach for “small” beamline or lab.
- Documentation!!!
- Distribution
# Presentation: 781826

## Ice Sheets and Landsat

- Robert Bindschadler
- NASA Goddard SFC

## Some Cold Hard Facts

- Ice Sheets
- 10% of land area is ice covered
- Sea Level
- Ice sheets hold 70 meters of sea level equivalent
- Variation of Sea Level
- -125 meters to +5 meters
- Rate of Sea Level Change
- 3 mm/yr. (50% rate increase in last decade)

## Landsat Image Mosaic of Antarctica

- 1131 Landsat scenes (+ 2 ASTER)
- circa 2000
- Summer 2007 completion date

## Landsat tells Glaciologists about:

- Coastal change
- Calving
- Surface velocity
- Elevation
- Change in elevation

## Ice Measurements with Landsat

- Coastal change
- Calving
- Surface velocity
- Elevation
- Change in elevation

## Elevation?

- Ice sheet surface:
- Nearly constant albedo
- Diffusive reflector
- Image brightness becomes a slope map (in direction of solar illumination)
-  _+_1 DN = _+_ 8 cm across a 15-m pixel
- Slopes used to interpolate elevations between control elevation profiles

## Checking Digital Elevation Models with Shaded Relief Images

- ICESat elevation precision = _+_20 cm

- ICESat Digital Elevation Model

## Landsat gives the “right” answer

- 30 km

- Landsat-7

- 30 km

- ICESat DEM

## New Science

**Conway Ridge**

**Engelhardt Ridge**

**Whillans Ice Stream (B)**

**Mercer Ice Stream (A)**

- Repeat-pass elevation changes are revealing subglacial water movement

## Subglacial Lake Engelhardt

## Image Contributions to New Science of Subglacial Hydrology

- Image-derived slopes to adjust elevation to reference track
- Repeat tracks are close and parallel, but NOT exact repeats
- Spatial (cross-track) elevation differences can be confused with temporal elevation differences
- Image differencing to show spatial extent

- Observed Ground Track Footprint Location:
- Reference Ground Track:

## 1. Image-based Profile Adjustment

- 30o

- reference profile

- measured profiles

- Sun

## Adjustment to Reference Track

- Elevation Difference (m)

## 2. Image Differencing

- Images

**Radiometric resolution is critical to success—8-bit data won’t suffice **

## Conclusions

- Landsat data continue to be used in new, innovative ways by glaciologists
- The most important LDCM enhancement for ice-sheet research is improved radiometric resolution
- 8-bit is inadequate
- 12-bit is required
# Presentation: 700739

## NVAC

- <date/time>

- 4 June 2003

## US National Laboratory Inventory response rate/database category

- <date/time>

- US National Laboratory Inventory response rate/database category

- 93%of 45 	state/local government
- 85% of 13 	federal government
- 98% of 668 	industry/biotech
- 86% of 990 	academic institutions
- 88% of 5,009 	hospitals
- 83% of 20,626 private laboratories
- 81% of 4,774	other categories
- = 84% of 32,125		(05/30/03)

## US National Laboratory Inventory  No. with WPV of 87,277 labs surveyed

- <date/time>

- US National Laboratory Inventory  No. with WPV of 87,277 _labs _surveyed

- 89 of 52,282 	academic
- 30 of 3,454 	federal government
- 27 of 7,989 	industry/biotech
- 19 of 7,161	hospitals
- 14 of 115 	state/local government
- 18 of 9,111 	private laboratories
- 06 of 4,165 	other categories
- = 203 with WPV materials  (5/30/03)

## Non-responding Institutions

## TimelineNVAC Polio Laboratory Containment Workgroup
# Presentation: 213820

## HHS Pandemic Planning:CDC Role

**NVAC PIWG Meeting**
**April 19-20, 2005**
**Richard Schieber, MD, MPH**
**Coordinating Center for Infectious Diseases, CDC**

## CDC Responsibilities

**Disease surveillance**
**Laboratory diagnostics**
**Disease control and prevention:**
**Community containment**
**Mitigation of travel-related transmission**
**Effective use of vaccines and antivirals**
**Public health communications (states, HC, PH orgs, MOH, WHO)**
**Public health investigations and research**

## Lessons learned: SARS, Flu

**Spread of human respiratory viruses is rapid and sometimes silent**
**International cooperation no longer optional**
**Rapid identification critical**
**Control strategies must be in place**
**Civil liberties balance PH needs**
**Epidemiology comes of age**
**Age at risk**
**Transmissibility**
**Period of infectivity**
**Vaccine safety is key**

## Framework used

**Based on existing experience**
**SARS**
**Bioterrorism**** **
**Review of other national plans**
**Canada**
**UK**
**WHO**

## Goals

**Provide needed detail to S/L HD**
**Ensure consistency w/HHS**
**Ensure latest available information**
**Ensure internal consistency**

## Simple approach,Complex execution

## Nine-stage process

**Review HHS documents**
**Topic SME convene, produce draft**
**Modified by copy editor (Alexandra Levitt)**
**Team review #1**
**Reviewed by flu epidemiologist and policy expert**
**Reviewed by outside partners (CSTE, ASTHO, NCCHO) **
**Team review #2**
**CDC Clearance**
**To HHS/PIWG**

## Ten threads

**Vaccines****	****	****	****	****Wortley, Strikas**
**Community containment****	****	****Barwick, Quick**
**Travel****	****	****	****	****Barwick, Quick**
**Laboratory****	****	****	****Monroe, Felton**
**Healthcare****	****	****	****Chiarello, Levy**
**Surveillance****	****	****	****Keats, Brammer**
**Communications****	****	****	****Rutz, O’Connor**
**Antivirals****	****	****	****	****Shay**
**Workforce support****	****	****D. Reissman, Klomp**
**CDC Command/Control**

## Timeline

**First drafts****	****Done**
**Editorial formatting****	****~ Half done**
**Partner feedback****	****April 22 ~ May 26**
**Review and clearance****	****June**
**To HHS****	****Late June**

## Product: HHS Supplement

**Rationale and Goals**
**Overview**
**Recommendations**
**Inter-Pandemic Period**
**Pandemic Period**
**Useful materials and resources**

## Summary of responsibilities,by phase

**State & local health agencies will...**
**CDC will...**
**CDC will support DHHS to ...**

## Flexible planning

**Options**
**Depending on phase**
**Depending on availability**
**Contingencies**
# Presentation: 543580

## Immunogenicity and Product Quality Attributes

**Point**
**     ****Immunogenicity of protein products cannot be predicted by biochemical/analytical techniques alone. **
**Comparative, side-by-side testing is needed**
**Up-to-date methods should be used**
**Counterpoint**
**The more like the innovator, the less immunogenicity testing is needed pre-marketing**
**Factors which can affect immunogenicity:**
**3-dimensional structure**
**Impurities**
**Product-related**
**Process-related**
**Leachables**
**Excipients**
**Product degradants (aggregates, oxidized, deaminated species)**

## Are Animal Studies Useful in Predicting Relative Immunogenicity, ie, Comparing Innovator and Follow on Proteins?  

**Point: **
**Animal studies comparing immunogenicity are helpful in elucidating potential differences in product immunogenicity, but are not sufficient. Clinical studies are necessary **
**Counterpoint: **
**If titers to the follow on are not significantly increased compared to the innovator product AND if no new antigenic determinants are seen in animal studies (using appropriate and sensitive assays) then immunogenicity studies in humans could be performed post-marketing**

## Immunogenicity Clinical Studies

**Point**
**   ****The design of immunogenicity studies should take into account product and patient factors that bear on immunogenicity including immunogenicity history of the innovator (probability of immune response) as well as the potential consequences of anti-product antibody formation **
**Consequences of antibody formation**
**safety**
**loss of effect of product**
**Duration of immune response****	**
**Evidence of possible tolerance—diminution of antibody response over time**** redundant; products with little risk of hypersensitivity responses **
**Counterpoint**
**    ****Regardless of the immunogenicity of the innovator product, most clinical immunogenicity data should be collected post marketing**

## What Trial Designs Would Be Most Helpful in Determining Whether the Follow on Is Comparable to the Innovator in Immunogenicity

**Point**
**Given differences in key attributes of antibody assays, and reduced clinical testing overall for follow on products, comparative, side-by-side testing is necessary to compare immunogenicity**
**Counterpoint**
**It is not essential to compare immunogenicty of innovator and follow on directly. A single arm immunogenicity study of the follow on is adequate if it is capable of  assessing safety and effects on efficacy from unwanted immune responses**
# Presentation: 673188

## STAR Summary for the June 3, 2005 410 GeV Data Run.

- Useful for looking at rates/cross sections

- Fair size min-bias sample

- Forward 0 cross sections, QCD scaling analysis

- Backgrounds were high for the 410 GeV Data Set

**BBC Coin.**
**BBC Yellow back.**
**BBC Blue back.**
**ZDC Coin.**

## General Status of STAR pp run as of June 7, 2005.

- General Status of STAR pp run as of June 7, 2005.

- 5.87 pb-1 delivered
- ~1.95 pb-1 sampled

- 309 nb-1 delivered
- ~ 102 nb-1 sampled
- (93/180 ~ 56 %)

- N.B. 7 pb-1      @ 40% ~ 179 nb-1

## General Status of STAR pp run as of June 7, 2005.

- General Status of STAR pp run as of June 7, 2005.

- 3284 kevts total

- 13.75 Mevts total

## FOM plots through June 7, 2005.

- Goal = 180 nb-1 Sampled FOM

**Sampled FOM ~ 102 nb-1**
# Presentation: 444806

## U.S. Environmental Protection AgencyNatural Gas STAR ProgramOptimize Separator Operating Pressures to Reduce Flash LossesSPE Paper 94373B. Boyer - COMM Engineering &S. O'Connell, Devon Energy Corp.

- U.S. Environmental Protection AgencyNatural Gas STAR ProgramOptimize Separator Operating Pressures to Reduce Flash LossesSPE Paper 94373B. Boyer - COMM Engineering &S. O'Connell, Devon Energy Corp.

## Outline

- Introduction
- Flash Losses
- Opportunity
- Methods Used
- Conclusions

## Introduction

- STAR BMPs examples of Optimization
- Many opportunities exist
- Many solutions needed
- Flash gas from separators and storage tanks are natural gas product

## Flashing Losses

- Flashing losses result from oil pressure drops during the separation process
- Flash gas routinely vented to the atmosphere or burned in a flare
- Sources of flash to atmosphere include separators, heater treaters, storage tanks
- Higher BTU gas from storage tanks

## Flashing Losses

- Intermediate flash
- Intermediate pressure separators that send oil to low pressure separator or heater treater
- Computer simulations
- Fixed roof atmospheric storage tanks
- Pipeline pigging operations
- Gas plant inlet separators dumping to storage tanks

## Typical Flash Destination

## Optimization Opportunity

- Minimize operating pressure of low-pressure separators that dump to storage tanks to reduce flash losses
- Results in decreased gas vented by storage tanks and increased gas to sales
- Minimal cost to implement with   immediate payback

## Why Optimize Separators?

- Easy, inexpensive to increase profits
- Gas STAR Program reporting
- Conserves natural resources
- Greenhouse Gas emission credits
- Reduce volatile organic compounds (VOC)
- Reduce benzene and other hazardous air pollutant emissions

## Devon Energy Corp. Case Study

- Surveyed facilities
- Chose G.A. Ray No. 93 Facility
- Optimize separator pressures to increase gas to sales minimal costs
- Field cooperation – sampling, optimization options, implementation

## Method

- Step1. Choose Flowrate Estimation Method
- Step 2 – Collect Process Data
- Step 3 – Determine existing GOR and flash rate
- Step 4 – Determine and implement optimal operating pressures
- Step 5 – Determine new GOR and flash rate after lowering operating pressures
- Step 6 – Calculate the reduction in vent gas and the monetary value of the vent gas

## Slide 11

## Additional Solution

- Install vapor recovery after optimization when adequate amount of gas vented
- See Natural Gas STAR’s Lessons Learned document: “Installing Vapor Recovery Units on Crude Oil Storage Tanks” (www.epa.gov/gasstar)

## Conclusions

- Methane emissions
- Before optimization = 653,000 scf/year
- After optimization = 317,000 scf/year
- Increased potential net to sales = 336,000 scf/year
- Increase profits to approx. $7000/year
- Devon reporting this data to Gas STAR Program
# Presentation: 360572

## Improving the Accuracy of Short-Term Weather Forecasts Using AIRS Direct Broadcast at SPoRT

**Improving the Accuracy of Short-Term Weather Forecasts Using AIRS Direct Broadcast at SPoRT**
- Brad Zavodsky                                                            SPoRT/University of Alabama in Huntsville
- Gary Jedlovec                                                          SPoRT/Marshal Space Flight Center
- April 2008

## NASA’s Short Term Prediction Research and Transition (SPoRT) Center

_*Mission:*_* Apply NASA measurement systems and unique Earth science research to improve the accuracy of short-term (0-24 hr) weather prediction at *_*the regional and local scale*_* (http://weather.msfc.nasa.gov/sport/)*

- _Test-bed _for rapid prototyping of new products
- Development of new products is _end-user driven_
- _Transition _research capabilities / products to operations
**real-time (RT) MODIS, GOES, and AMSR-E data and selected products to National Weather Service (NWS) weather forecast offices (WFOs) and private entities (*****e.g.***** Worldwinds, Inc., The Weather Channel)**
- _Direct Broadcast is vital to SPoRT’s success _because it provides the most timely data for our operational end users

##   AIRS retrieves asynoptic soundings over a large area that supplement traditional upper air soundings

-   AIRS retrieves _asynoptic soundings over a large area _that supplement traditional upper air soundings
-   AIRS soundings are _beneficial to predicting atmospheric stability _in the pre-convective environment for _improved severe weather forecasting_
-   _Without direct broadcast data_, products and forecasts would _lag by 1+ hours_, which is critical time for operational forecasting
-   AIRS Data Uses/Plans from Direct Broadcast:
**L1B AIRS imagery and products**
**L2 AIRS temperature and moisture profile product (slide 4)**
**Assimilation of AIRS profiles (slide 5) and radiances into regional forecast models**

- Why Use AIRS Direct Broadcast Data?

## L2 Temperature and Moisture Profile Product

-  Profiles configured for _view in native NWS display system_ (AWIPS)
-  Forecasters can click on each sounding location to display sounding info and overlay with other data
-  Familiar soundings (forecast, radiosonde) are used to train forecasters to use AIRS soundings

_***Example***_** AWIPS RAOB (green) display w/ AIRS (red) overlain**

## Model Simulations using Real-Time AIRS Observations

-  SPoRT’s research has shown _forecast improvement _in the Weather Research and Forecasting (WRF) model _with the addition of L2 thermodynamic profiles_
-  AIRS-enhanced model initial conditions transitioned to WFOs to improve afternoon forecasts
-  _Using direct broadcast data_, forecasts are completed by 10 AM local time leaving _ample time for forecasting afternoon convection_

- 36-hr forecasts compared to RAOBs

*Temperature bias reduced ≈0.3**o**C; moisture bias reduced ≈5% w/AIRS assimilation compared to a no AIRS case*
# Presentation: 553066

## Utility MACT Working Group

- December 18, 2001
- Washington, D.C.

- Sally Shaver
- US EPA

## Recap

- At the November 5 meeting, you asked for input on five issues
- Rank ordering of units and the different ways to look at the “best performers”
- Comparison of coal data during sampling vs. 1999 yearly average
- Compilation of data for oil-fired units
- Compilation of non-mercury HAP data for coal-fired units
- Sequencing of controls

## Today’s meeting

- We formed three “mini-groups” to address the first three issues
- Will hear presentations and discussion on these today
- Will discuss the process and schedule for the fourth issue this afternoon
- Seek additional input on the fifth issue

## Items to think about

- Items we’d also like to discuss this afternoon
- Next meeting -- propose Tuesday, February 5, in Washington, D.C.
- Feedback on use of “mini-groups”
- Action items for next meeting(s)

## Ranking of emission data sets

- Felice Stadler, NWF
- Pat Raher, Hogan & Hartson
- Praveen Amar, NESCAUM

## Coal analysis data

- Lee Zeugin, Hunton & Williams/UARG
- Martha Keating, Clean Air Task Force

## Oil-fired data

- Bill Bumpers, Baker Botts/Class of 85 Regulatory Response Group
- David Schanbacher, TNRCC/ECOS
- Michael Shore, Environmental Defense

## Progress report on non-Hg HAP from coal units

- Bill Maxwell
- US EPA

## Issue: Compilation of non-Hg HAP data for coal units

- Non-mercury HAP data are included in the Final Report to Congress
- Are in the process of extracting data into an electronic file for distribution to Working Group
- File will have same basic parameters as in mercury file WHERE AVAILABLE
- Plan to have file available for February meeting

## Next steps

- Sally Shaver
- John Paul

## Feedback on “mini-groups”

- “Mini-groups” formed following last meeting
- Intended to be short-term
- No decision-making authority
- To allow for input and participation by more of Working Group and to facilitate discussion
- Balanced membership
- Discussion on future use

## Next meeting

- Next CAAAC meeting is scheduled March 5 (subcommittees) and March 6 (full CAAAC)
- Propose next Working Group meeting for Tuesday, February 5, in Washington, D.C.
- Discuss non-Hg HAP from coal units
- Continuing discussion of today’s issues or any others that have arisen
# Presentation: 754407

## Accessible Design

- Residential or non residential
- Focus on people with disabilities who are residents, customers, staff
- Primarily people with mobility impairments
- Emphasizes functional features
- Associated with “full” accessibility and code compliance

## Accessible Design

- Entrance
- Circulation
- Bathrooms
- Kitchens
- Controls
- Storage

## Visitable

- Residential only
- Limited accessibility features within home
- Focus on residents and guests, friends, relatives, neighbors
- Focus on people with mobility impairments
- Associated with local ordinances
- “Get in and Pee”

## Visitable

- Entrance
- Hallway
- Bathroom

## Barriers

- Lack of consumer awareness and demand
- Inadequate industry response
- Homebuilder expertise
- Design expertise
- Finance
- Government involvement

## Resources

- National Center for Supportive Housing and Home Modification
- Internet Course
- Research
- Technical Assistance
- Information Clearinghouse
- Web Site: homemods.org

## Resources

- State University of New York at Buffalo
- Publications
- Listserve
- Website:http://design6.ap.buffalo.edu/~idea/

## Resources

- National Association of Home Builders
- Research Center
- Accessible Products Guide
- Remodeler Designation 				Project
- Web site: nahbrc.org/

## Resources

- AARP
- Web site:  aarp.org/universalhome/

## Demonstration Home, Atlantic City, NJ

- Affordable Universal Design

## Photo and Project Credits

- Jon Sanford
- RERC on Work Place Accommodations
- Atlanta, GA
- Will Johnson Building Company
- Chapel Hill, NC
- Commonwealth Construction & Design, Inc.
- Chapel Hill, NC
- National Association of Home Builders Research Center
- Upper Marlboro, MD

## Photo and Project Credits

- Sunderland Homes
- Louis Tenenbaum
- Potomac, MD
- John Salmen
- Universal Designers
- Rockville, MD
- Anne Morris
- Springfield, VA
- Center for Universal Design

- The Center For Universal Design

**College of Design**
**North Carolina State University**
**(919) 515 - 3082  voice and TDD**
**(800) 647 - 6777  information requests**
**Email: cud@ncsu.edu.com**
**Web site   http://www.design.ncsu.edu/cud/**
# Presentation: 389433

## Nanodimensional Measurements of Superplastic Deformation Martha L. Mecartney, University of CA – Irvine, DMR  0606063

- Nanodimensional Measurements of Superplastic Deformation **Martha L. Mecartney, University of CA – Irvine, DMR  0606063**

## Outreach activities with Girls Inc. organization demonstrating the magic of ceramic engineering Martha L. Mecartney, University of CA – Irvine, DMR  0606063

**Outreach activities with Girls Inc. organization demonstrating the magic of ceramic engineering**** Martha L. Mecartney, University of CA – Irvine, DMR  0606063**

- PI Martha Mecartney and her graduate students Lili Taherabadi, Lynher Ramirez, Chris Hoo, and Kevin Olson involve middle school girls in experiments on the strength of ceramic composites, the insulating properties of space shuttle tiles, and the amazing microstructure of superplastic ceramics as shown by scanning electron microscopy.
# Presentation: 485302

## High Damping for Lightweight StructuresCSA Engineering, Inc.Palo Alto, CA

**Innovation**
- A reliable, cost-effective, precisely controllable damping
- technology based on cocured viscoelastic/composites.

**Accomplishments**
- Developed C-Strut technology, a truss element (strut)	manufactured with graphite-epoxy (composite) and viscoelastic 	 (damping) material.
- Design achieves stiffness not possible with conventional 	fabrication methods for viscoelastic damped struts.
- Uses passive damping to prolong life and enhance performance	while suppressing vibration and noise.
- Technique can economically raise the inherent damping of 	graphite/epoxy composites by over two orders of magnitude.
**Commercialization**
- Truss elements for test structure have been sold to the University of Kentucky, with funding from McDonnell Douglas Aerospace, Space Station Division.
- Cocured viscoelastic/composite technology was major factor in receiving $500K aircraft damping contract.

**Government/Science Applications**
- Cocured viscoelastic/composite damping has application for satellites, solar arrays, rotating and construction machinery, machine tools, sporting goods, bicycles, windsurfboards, telescope metering and antenna structures.
- Other applications include: household appliances and damping of all types of structures subject to dynamic loads.

- C-Strut:
- Load-bearing Strut with High Damping

- Points of Contact:
-    -  NASA (Denise Swain; 205/544-0968)
-    -  CSA Engineering (Joseph Maly; 650/494-7351)
- 1992 SBIR Phase 2;  NAS8-39902

- Marshall Space Flight Center
-   Date of Update:	3/18/98
-   Success Story #:  150
# Presentation: 188000

## Features of GPI-anchored proteins and their processing by GPI transamidase

- Chapter 11, Figure  6

**Notes:**
FIGURE 11.6. (A) Features of GPI-anchored proteins and their processing by GPI transamidase. GPIanchored proteins have an amino-terminal signal peptide and a carboxy-terminal GPI-addition signal peptide (top) that is removed and directly replaced by a GPI precursor (bottom). (B) Examples of carboxyl-terminal sequences signaling the addition of GPI anchors.

## Slide 2

**Notes:**
FIGURE 11.6. (A) Features of GPI-anchored proteins and their processing by GPI transamidase. GPIanchored proteins have an amino-terminal signal peptide and a carboxy-terminal GPI-addition signal peptide (top) that is removed and directly replaced by a GPI precursor (bottom). (B) Examples of carboxyl-terminal sequences signaling the addition of GPI anchors.
# Presentation: 858375

## Recent Developments and Plans from the JPL Analysis Center

- Significant improvement in consistency of JPL’s GPS solutions w.r.t. IGS combined solution starting week 1442.
- Primarily due to use of IGS standards for GPS antenna calibrations.
- 80-90% variance reduction in orbit and clock differences.
- JPL updating models and POD strategy in preparation for reprocessing campaign.
- Targeting July 2008 to begin reprocessing, starting with 2008.
**New version of GIPSY, version 5.0, to be released June 3, 2008.**

- GPS POD
# Presentation: 477289

## Slide 1

## Ocean Fertilization by Gobi Dust Observed: 

**April 10**

**May 30**

***Ocean Fertilization by Gobi Dust Observed: ***
***First Deployment of Robotic Carbon Explorers***

**Particulate Organic Carbon**

_***Bishop, J.K.B., et al.  (2002)***_***  Science 298, 817-821. ***

## Ocean Fertilization by Gobi Dust Observed: 

***Ocean Fertilization by Gobi Dust Observed: ***
***First Deployment of Robotic Carbon Explorers***

_***Bishop, J.K.B., et al.  (2002)***_***  Science 298, 817-821. ***

**Surface Biomass Doubled**

**0.35**

**0.45**

**0.55**

**Net ****POC Growth Rate**** and ****POC****/****Chl**** ****ratio**** Increased here**

**Similar ****favorable**** conditions, but little biomass increase**

**Satellite Chlorophyll Increased by just 20%**

**West to East Decrease in Aerosol => Dust Deposition**

## Slide 4

## SOFeX and Explorer Positions: Jan 10 - Mar 10 2002

- “North Patch” (55 S)
**High** **NO****3** : Low **Si**
- (**22** M : **2.5** M)

- SOFeX Hypothesis:
*Silica** **Limitation of*
*Diatom productivity*
* **means limited Carbon*
*Export**.*

- “South Patch” (66 S)
**High** **NO****3**: **High** **Si**
- (**27** M : **60** M)

*Funding DOE Office of Science , NSF*

*SOFeX and Explorer Positions: Jan 10 - Mar 10 2002*

*Bishop et al. Science, ****304, 417-420,**** **2004*

## “North Patch” (55 S) 

- “North Patch” (55 S)
**High** **NO****3** : Low **Si**
- (**22** M : **2.5** M)

***First Controlled Long-term High Frequency Observations of the effects of purposful iron additions to the ocean.***
***Measuered Enhanced Carbon Export at 55S ***
***Fe added : C Exported mole ratio >1:10******4***
*SOFeX Hypothesis*_* Contradicted*_
*	**Export surprisingly strong N of the Polar Front*
***Cost Effective Carbon Monitoring Possible***

**MLD 0.05**

**CARBON FLUX INDEX in RED**

**POC**
******M)**

*Bishop et al. Science, ****304, 417-420,**** **2004*

## Background/information slides

## Gobi Desert Dust Crosses Pacific April 10-14, 2001

**Gobi Desert Dust Crosses Pacific April 10-14, 2001**

**PAPA**

***First Carbon Explorers Deployed in the N. Pacific at PAPA April 10 2001***

- _Bishop, J.K.B., R.E. Davis and J.T. __Sherman__ (2002)_ Robotic Observations of Dust Storm Enhancement of Carbon Biomass in the North Pacific. *Science* 298, 817-821. [LBNL #50120]

## Carbon Explorers at OWS PAPA 50N 145W2001: Dawn 1000 - 0 m; Dusk 300 - 0 m; Noon 300 - 0 m; Sleep at 300 m2003: Dawn 1000 - 0 m; Dusk 300 - 0 m; Noon 300 - 0 m; Sleep 120, 250, 800 m

-  (2003)
- Antifouling
- Method
- Leads to
**Carbon**
**Flux Index**

## Carbon Flux Index Concept:

**  ****AFTER **_**SLEEP**_** PERIOD**
- 1)	Read Transmissometer
- Start CTD Pump to ‘blow off’
-         accumulated particles.
- 3) 	Read Transmissometer

**Carbon Flux Index**
-      **=**     _(3)-(1)_
-        (Time at 100 m)

*Bishop et al. Science, ****304, 417-420,**** **2004*

- Transmissometer

- Exhaust
- from CTD
- pump

- Particles Accumulate Here
# Presentation: 591419

## Non-Volatile, Solid-State Recorder for SpacecraftSeakr Engineering, Inc.Englewood, CO

**ACCOMPLISHMENTS**
- Developed software to control flash memory in a low earth environment.
- Designed flash based memory for operation in a low earth orbit.
- Delivered flash based solid state recorder for a low earth orbit.
**COMMERCIALIZATION**
- Commercial potential exists in imaging satellites, commercial store and forward satellites, and avionics crash recorders.

**S****mall**
**B****usiness**
**I****nnovation **
**R****esearch**

- 1990 Phase 2,  SS5-004 11/30/95

**GOVERNMENT/SCIENCE APPLICATIONS**
- Use of flash memory to replace shuttle tape recorders, for low earth satellites such as Gravity Probe B, and on space vehicles such as Pluto Flyby.
- Provided data recording for the GSFC Spartan 207/Inflatable Antenna Experiment which flew May 16, 1996.

**Goddard Space Flight Center**

**INNOVATION**
**	**Developed application of non-volatile memory for spacecraft.

***SPARTAN Solid State Recorder***

- Points of Contact:
- 	-  NASA - Dennis Olivares; 301-286-3214
- 	-  Seakr - Scott Anderson; 303-790-8499
# Presentation: 125895

## Mortality and morbidity from external causes, Chile 1968-2003 

## External cause mortality by sex, Chile

- Both sexes

- male

- female

- rate

## ICD-7: N800-N999, E800-E999 (1958-1967).

**ICD-8: N800-N999, E800-E999 (1968-1979).**
**ICD-9: 800-999, E800-E999 (1980-1996).**
**ICD-10: V01-Y98 (1997- ...).**

## Stages of cause of death statistics production in Chile 

- 1843-1951: Office of Statistics
- 1952-1978: National Institute of Statistics y Dept of Statistics for National Health Service (2 publications).
- 1979-2000: National Institute of Statistics and Ministry of Health (in legal agreement since 1982).

- Civil Registry, 1884

## 1979-2000:

- There is no counterpart specialist in the health statistics agency nor an ICD expert in the Ministry of Health
- Instruction/education of technical personnel in Health Statistics agency was suspended, as was education of ICD coders

## Slide 6

## Health Statistics Recovery

- The Department of Health Statistics and Information is reborn (12/10/2000, resolution? 2164)."
- Two courses on cause-of-death coding are taught for 40 coders nationwide (PAHO - Health Ministry of Cuba).
- Rules and procedures on coding and updating/revising incorrectly coded certificates are implemented
- Information is verified / corrected through matching against other sources of information, especially through querying the certifying physician.

## ICD-8

**ICD-8**

**ICD-9**

**ICD-10**

## Transport accidents: N-XVII: N800-N999 + E800-E845, ICD-8; XVII: 800-999 + E800-E848, ICD-9;  V01-V99, ICD-10.

_**Suicide**_**: N-XVII +  E950-E959, CIE-8; XVII + E950-E959, ICD-9; X60-X84 + Y87.0, ICD-10.**
_**Homicide**_**: N-XVII + E960-E969, CIE-8; XVII + E960-E969, ICD-9; X85-Y09 + Y87.1, ICD-10.**

## Undetermined intent: N-XVII + E980-E989, ICD-8; XVII + E980-E989, ICD-9; Y10-Y34 + Y87.2, ICD-10.

**Note: ****The few deaths coded as sequelae of legal intervention have been added   as homicides**

## Relative difference between external cause death ratesaccording to mechanism and intent: Chile, 1997-2000 & 2001-2003

- All

- Cut/pierce

- Drowning

- Falls

- Fire/Hot objects

- Firearm

- Transport

- Poisoning

- Suffocation

- Other specified

- Unspecified

## Hospital discharge rates by external cause, Chile 2002
# Presentation: 763719

## Anti-Blooming Strategies for LSST

- or
- What we can do about all these bloomin’ pixels?

## LSST Design Parameters

## Stellar Flux, Charge Accumulation vs. V-band Magnitude

## Stellar Density vs. V-band Magnitude

## Flux, Charge, and Blooming in 10 Second LSST Exposures

## I-band vs. V-band Stellar Densities

- There are 3 – 5x as many bright stars in I-band

## So, how big IS the problem of bloomed charge for LSST?

-  ‘Simple’ model predicts a small portion (0.11%) of a ‘typical’ LSST
-    field will be affected by bloomed charge, based on V-band magnitudes

-  I-band stellar brightness suggests a multiplication of this amount by
-   as much as 5x, so that’s maybe 0.5%

-  Corrupted PSFs suggest a multiplication by another 3x to 5x, so that’s
-   maybe 2.5%, that’s starting to be a problem

- So, what can we do about it?

-  Structural solutions: built-in anti-blooming drains

-  Operational solution: clocked recombination anti-blooming

## Anti-Blooming Structures: Vertical and Lateral Drains

- (Graphics stolen shamelessly, err, borrowed, from *Scientific Charge-Coupled Devices* by James Janesick)

-  Vertical anti-blooming structures are incompatible with backside illumination

-  Lateral anti-blooming structures sacrifice too much fill factor

## Lincoln Laboratories Blooming Control

-  100% fill factor

-  >1000x blooming control

-  Drain ‘hidden’ in the channel stop

-  Similar design available from Sarnoff Laboratories

## Other Possible Anti-Blooming Structures

-  Column end excess charge drain

-  Lateral drain on serial register

-  Absorbs charge as columns saturate completely
-  Also serves as a fast clear charge sink

-  Prevents charge from smearing during readout
-  Also serves as a fast clear charge sink

## Clocked Anti-Blooming

- Diagram “borrowed” from Gary Sims

- P1 collecting charge, P2 and P3 inverted

- P1 saturated, excess charge at the
- Si/SiO2 interface at the surface

- Excess charge trapped at surface
- while the charge is moved in the
- buried channel

- Trapped charge annihilated by holes
- flooding surface states when P1 is
- clocked into inversion

## Spurious Charge Generated by Clocked Anti-Blooming

- Plot stolen (let’s just say it) from Sims and McCurnin

-  Spurious charge generation rises with larger clock swing

-  Spurious charge generation rises with shorter clock rise times

- LSST cannot afford the noise from spurious charge

## Conclusions, Options, Further Research

-  Without anti-blooming, bloomed charge will affect between 0.5% and 2.5%
-   of a ‘typical’ LSST field, is this a problem?

-  Most ‘built-in’ anti blooming structures are incompatible with LSST

-  MIT/LL, Sarnoff have compatible, effective anti-blooming structures

-  Clocked anti-blooming works, but has a LOT of potential problems

-  Can MIT/LL produce the required number of CCDs?

-  Can the design be licensed to another vendor?

-  How about Sarnoff Laboratories?

-  Spurious charge, ‘jim-dots’, other effects are not acceptable

-  Further experiments required before considering this option
# Presentation: 243224

## Status of the new CRS software

***Tomasz Wlodek***

## Reminder

**We want to replace the current CRS software by a new product**
**The main obstacle is the need of prestaging of data: data needed for a job needs to be staged in from HPSS storage before the job execution starts**
**Existing batch systems do not have this capability ******** we use a home grown CRS code**

## My last proposal (end of 2002)

**Split the code into 2 parts: data staging and job scheduling and execution**
**Data staging: use home grown code**
**Job execution: use Condor**
**Now I have a better idea:**

## Condor+Dagman

**Dagman is a tool you add on top of Condor batch system which allows you to build graphs of interconnected jobs which will execute in sequence**

## How a CRS job will look in DAGMAN

- Stage file 1

- Stage file 2

- Stage file N

- Main job

- Pre-script

- Post-script

## The “Stage file” job

**Runs in separate queue (unlimited number of jobs)**
**Sends a stage request to HPSS, then waits until stage is done/failed**
**Returns status code to Dagman**

## Main  job

**Consists of 3 parts: pre-script, the reconstruction job and postscript**
**Runs only if all parent jobs completed successfully**

## Pre-script

**Python scripts which spawns several pftp-wrappers, which will import data file from HPSS stage to the local disk**
**If all pftp imports are successful, control will pass to the main job, otherwise job will be cancelled**

## Main job

**Python wrapper around the experiment-supplied executable**

## Postscript

**Dump the output files to HPSS via pftp**
**Do the cleanup, remove output/error/log files**

## Status:

**All components needed for the new CRS ( Dagman,pftp wrapper, HPSS interface) are ready, all we need to do now is to integrate them**

## Proposal of the new CRS prototype testbed

**I would like to build a small farm running the new CRS code**
**Initially it will consist of 4 machines:**
**Play11 ****– job submission**
**Play2**** – HPSS interface**
**Play11,13,15**** – condor machines for job execution**

## The testbed - cntd

**I would like to start running real reconstruction jobs on the testbed as soon as possible**
**I will need some help from experiments – could you supply me with real executables and data files I could play with?**
**I will need some help from experiments with the design of the job database (This needs some more thought)**

## The big question

**Once the testbed is working (summer 03, hopefully) we will move to real production farm by gradually adding machines**
**Will condor-dagman be able to handle few thousand machines cluster?**** **
**The Condor team from Wisconsin claim that yes, it will. **_**Let us keep fingers crossed.**_
# Presentation: 711628

## Scanning of Special Reports for Geographic Names 

- Geographic names are the primary location tools used in all mapping products, supplemented by the use of latitude and longitude coordinates

- NOAA conducted geographic names field investigations beginning in the early 1900s.
- These historical special reports document the early research required to:
-  provide local points of reference and
- create meaningful mapping products that still exist today

## Scanning of Special Reports for Geographic Names 

***Sample materials from Special Report 348:***
*** *****Road maps**
** ****Tax maps**
** ****Negatives**
** ****Final reports**
** ****Historic place name books**

**Scanning of ****Special Reports for Geographic Names**** **

## Special Reports for Geographic Names 

-  Black and white scans for text-based documents
-  Color scans for maps and photographs
-  Dimensions:  vary from 4” X 4” to 36” X 55”

**Box of **
**Special Reports**

**Simple SR**

**Complex SR**

- Project includes approximately 10,000 documents distributed across 6 boxes

## Detailed Sample Special Report: #101

**Detailed Sample Special Report: #101**

***Middle Page***

## Deliverables

- Color Scans (Maps, Charts, Photos)
- JPEG or TIFF compression from the original 400dpi RGB 256K scan
- B/W Scans (text)
- Optical Character Recognition if possible (may require some hand keying)
- Indexed by Special Report (& project number) – requests assistance with capturing “data sets” (pdf?)
# Presentation: 697858

## Federal Tax Credits for Energy Efficient Homes: 2001 Update

- Bill Prindle
- Director, Buildings and Utilities Programs
- July 18, 2001

## Background

- 1997--Climate Change Technology Initiative
- 1999--Initial homes tax credit bill--Rep. Thomas
- 2000--New tax credit bill--Senator Smith
- 2001--Multiple bills
- Senate: Smith, Murkowski, Bingaman
- House: Cunningham, Inslee, Weller, Matsui

## Key Issues for New Homes Credits

- Who gets the credit: builder or buyer
- Qualifying level: 30% or 50% beyond IECC
- Amount of credit: $750-2000 for 30%; $2000-$2500 for 50%
- Certification: detailed rules for qualification, and for who can perform certification; emphasis on HERS guidelines and providers key issues

## 2001 House Bills

## 2001 House Bills

- HR 2511 introduced July 17 by Ways and Means Chairman Bill Thomas
- Covers efficiency and renewables, reliability and production
- Efficiency covers vehicles, appliances, new homes, existing homes, CHP, and utility smart meter devices
- New homes credits based on Weller bill

## HR 2511:Recommended Changes

- Include an IECC + 50% credit
- Reduce 30% credit amount--half or less of 50% credit
- Include Cunningham language on certification

## Senate-House Bill Comparisons

- Smith bill similar to
- Bingaman bill similar to
- Murkowski bill similar to

- Cunningham
- Matsui
- Weller

## Key Issue: Existing Homes

- HR 2511 includes existing homes
- Offers 20% of cost up to $2000 for envelope improvements based on IECC criteria
- Alternatives discussed include 30% and 50% improvement from existing condition based on HERS guidelines
- A coalition effort could provide huge benefits in energy savings and HERS usage
# Presentation: 860254

## WRF DTE	

- Verification Statistics for
- February 2003
- NOAA FSL
- Lígia Bernardet
- Andrew Loughe
- Steve Koch
- 4/29/2004

## 1) EM: neg bias low levels, pos bias above 

- 1) EM: neg bias low levels, pos bias above

- 3) NMM-SI error: large
-     RMS at upper levels

- 2) NMM: pos bias

## NMM height bias

- Zavisa Janjic 4/23/2004
- Problem NMM SI on IC and BC from ETA
- Inconsistency between hydrostatic equation in ETA and NMM SI
- Causes large geopotential error
- Especially Central Domain

## EM height bias

- POST used 9.8 ms-2, but to be consistent with WRF should have used 9.81 ms-2.
- BiasC = F/9.81 – O            BiasW = F/9.8 - O
- Error = BiasW – BiasC = F/9.8 –F/9.81 = (9.81F – 9.8F)/(9.8 x 9.81) = 0.01F/(9.8 x 9.81) ~ 10-4 F > 0, since F >0.
- Therefore, the correct curve is to the left of the one shown in web site.
- Problem is larger at upper levels:
- If F =  15,000 m2s-2, error is ~ 1.5 m.
- If F = 100,000 m2s-2, error is ~ 10 m.
- Proposed correction based on Standard Atmosphere:
- Level 850 hPa - Z = 1457 m - Subtract 1.47 m
- Level 500 hPz - Z = 5574 m - Subtract 5.57 m

## EM-bias 

- EM-bias
- corrected

- EM-bias
- Uncorrected

- Correction has *not* been applied in any other slide or on the web page.

## Physics: same error

- Breeding: largest errors

- Hard to beat ETA

## EM-RUC cold low levels

- NMM-ETA warm low levels
- Dynamical core matters more than soil/PBL scheme

## ETA and NMM-NCEP: smallest RMSE

- Eastern domain is different:
- EM- large negative bias

- NMM: breeding has
- more error than baseline

## EM: E,W domains differ

- NMM: less domain differ

- EM: E domain more error

## High day-to-day variability.

- EM NCAR-NCEP physics
-     Same errors

## Breeding has more error than 

- Breeding has more error than
- baseline

## Breeding takes a week to bring variability

## NSTREAM has larger errors than PSTREAM

- Why?

- negative

- positive

## Diurnal Cycle of Errors

- W domain: starts at 06 UTC -8 = 22 PST
- 15 hrs = 1 PM (Tmax is too low) / 30 hrs = 4 AM (Tmin is too low)
*Diurnal Cycle is flat.*

## E domain: T cycle is similar to W

- Error Growth

## 3 hour accumulations

- WRF:typical
- overestimation at low threshold
- underestimation at high threshold
- ETA:
- less overestimation
- Higher ETS low threshold
- (coarser model)

## ETS gets worse in time

- NCAR Physics- 0.1 in:
- 3 h ->0.12
- 24 h->0.10
- 48 h ->0.07

## High threshold

- PCAR more precipitation

## Bias: NCEP physics produces less precip at higher thresholds 

- Bias: NCEP physics produces less precip at higher thresholds
- All WRFs have similar ETS; ETA is higher.
- ETA for 24 hr bucket is higher than for 3 hr bucket.

## Eastern Domain:

- More difference between members
- Suspicious bias at high thresholds

## Hour 0 SLP forecast: NMM-ETA 

- Hour 0 SLP forecast: NMM-ETA
- Higher bias
- Bias: all NMM members together
# Presentation: 116055

## Leadership Training forAircraft Maintenance Environment

- Leadership Training forAircraft Maintenance Environment

- David C. Kraus, Ph.D.
- and
- Richard Saboda
- Information Division,
- Galaxy Scientific Corporation

**Research Sponsored by FAA Office of Aviation Medicine**

## Objective

- To improve safety and quality of aircraft maintenance.
- To conduct a task analysis of maintenance supervisors.
- To identify Human Factor Issues that are faced by aircraft maintenance supervisors.
- To produce a set of solutions to assist supervisors.

## Task Data Collection Procedures

- Familiarization Site Visits.  The initial site visits allowed observation of a variety of maintenance activities over work shifts.  From the familiarization site visits, the aircraft maintenance skill supervisors in the second shift were selected for further observation.
- Observation Technique.  This observation technique was used for three reasons: (1) there was a large amount of data to collect, (2) the supervisor’s job was dynamic and unstructured, and (3) the environment was spread out and noisy.
- Interviews.  In-depth interviews with lead mechanics and foremen were used to verify data and to fill in knowledge gaps where observations could not be made (e.g., disciplinary task or performance reviews).

## Task Description

- 	The hierarchical task description method was used to describe the tasks performed by the various levels of supervision.

## Task Analysis

- 	The supervisory tasks were analyzed according to the skills that were used.

## Solution

- Leadership Training Program for Lead Mechanics and Foremen

- Standardized curriculum
- Supplemental multimedia computer-based training
- Class discussions
- Case Studies

## Future Direction

- Develop detailed training curriculum
- Develop CBT supplements
- Implement prototype training program
- Evaluate training program
- Make modifications to training program based on evaluations
# Presentation: 201159

## CORMP DATA MANAGEMENT

- COTS PLANNING MEETING, 6/25/02, CHARLESTON, SC

*RMP*

- 		Plume	Shelf
*Physical:*
- currents	cm/s		x
- radiance/irradiance	E/m2/s	x	x
- salinity	ppt	x	x
- temperature	oC	x	x
- wind	kts		x
*Geological:*
- turbidity	NTU	x	x
*Chemical:*
- dissolved oxygen	mg/l	x	x
- DOC	ug/l		x
- pH	--	x	x
*Biological:*
- chlorophyll a	ug/l	x	x
- infauna	n/m2	x	x
- zoo/meroplankton	n/m3	x	x

## METADATA

- Spring 02- training
- Summer 02- drafting workshop*
- Winter 02- posted to CastNet clearinghouse node*

## DATA SETS

- Spring 02- draft plan
- July 02- requirements analysis*
- Data inventory
- Prioritize (effort, value to users)
- Potential products
- Winter 02- QA/QC procedures
- Must accompany metadata
- Varied standards

## PRODUCTS

- Summer 02- DVTs* (e.g., www.uncwil.edu/riverview)
- TBD- Relational dbase*
- TBD- Archival/retention*
- Spring 03- GIS (UNCW Spatial Analysis Lab