BEE-spoke-data/govdocs1-by-extension huggingface dataset:
# Presentation: 668482

## WFO Indianapolis GFE Best Practices

- Jason Puma

## GFE Best Practices - Organization

- Still in Public/Aviation mode for most forecast work
- Occasionally will split GFE duties dependant on situation
- Short Term/Long Term concept will look better to staff if when there will be a TAF formatter for GFE
- No Fire Weather Program at IND

## GFE Best Practices – Smarttools

- Use of SmartTool whenever possible
- More Specific in first 24 hours, Less specific in latter periods. Shown as smaller grids and more edits early, larger grids and fewer edits during latter periods.

## Most Common SmartTools

- RH_Tool
- Windchill_tool, HeatIndex_Tool,
- MaxT and MinT SmartTools
- T_fromMax/MinT
- Back/Veer
- SnowAmt_fromQPF

## Wx / Pop problems

- For best results in IGR, have suggested always using 7AM and 7PM as stop/start times for wx
- PoP still kept as a 12 hr grid
- Try and have forecasters match up wx and Pop grids for best results
- Have not switched to floating PoP but will try soon.
- Possible switch to GFE formatters when/if software is baseline and training and documentation in place

## Suggested Grids

| Element | Length of Grids | Time Period Valid for |
| --- | --- | --- |
| T | Hourly | First 72 Hours |
| Td | Hourly | First 72 Hours |
| RH | Hourly  | First 72 Hours |
| HeatIndex* | Hourly  | First 72 Hours |
| MaxT | 12hrs, Daily | 7 Days |
| MinT | 12hrs, Daily | 7 Days |
| Wind  | Variable | First 72 Hours |
| WindChill* | Hourly | First 72 Hours |
| WindGust | Hourly, As needed | First 72 Hours |
| Sky | Variable | 7 Days |
| Wx | Variable | 7 Days |
| PoP | Variable, 12 Hr reccommended | 7 Days |
| QPF | Variable | 7 Days |
| SnowAmt* | Variable | 7 Days |

## Other Projects	

- “Reported snow” grids to provide a map of reported snow amounts on the web after a snow event.
- _[http://www.](http://www.crh.noaa.gov/ind/ifps/ReportedSnow/)__[crh](http://www.crh.noaa.gov/ind/ifps/ReportedSnow/)__[.](http://www.crh.noaa.gov/ind/ifps/ReportedSnow/)__[noaa](http://www.crh.noaa.gov/ind/ifps/ReportedSnow/)__[.](http://www.crh.noaa.gov/ind/ifps/ReportedSnow/)__[gov](http://www.crh.noaa.gov/ind/ifps/ReportedSnow/)__[/](http://www.crh.noaa.gov/ind/ifps/ReportedSnow/)__[ind](http://www.crh.noaa.gov/ind/ifps/ReportedSnow/)__[/](http://www.crh.noaa.gov/ind/ifps/ReportedSnow/)__[ifps](http://www.crh.noaa.gov/ind/ifps/ReportedSnow/)__[/](http://www.crh.noaa.gov/ind/ifps/ReportedSnow/)__[ReportedSnow](http://www.crh.noaa.gov/ind/ifps/ReportedSnow/)__[/](http://www.crh.noaa.gov/ind/ifps/ReportedSnow/)_
# Presentation: 678962

## RDD/IND Preparedness:The Importance of Plume Modeling

- Seventh Annual George Mason University
- Conference on
- Transport and Dispersion Modeling
- June 19, 2003
- Craig Conklin
- Emergency Preparedness and Response
- Department of Homeland Security

## What is an RDD/IND?

- RDD – Radiological Dispersal Device
- Radioactive material (Cs-137, Co-60) +
- Conventional explosives
- IND – Improvised Nuclear Device
- Stolen/modified “Suitcase” bomb
- Crude nuclear bomb

## RDD/IND Working Group

- Established June 28, 2002
- Initially managed by:
- Office of Homeland Security
- National Security Council
- Phase 1 Report issued March 03
- 15 Recommendations based on 45 issues

## Phase 1 Recommendations

- 15 Recommendations covered
- Policy and Protocols
- Preparedness and Prevention
- Response and Recovery
- Testing and Evaluation
- All DHS Directorates must be involved in Phase 2 activities

## Phase 2 Kickoff

- June 3, 2003 Kickoff Meeting
- Undersecretary Asa Hutchinson
- Executive Director John McGowan
- Briefed Senior RDD/IND Working Group

## Mission Statement

*“**To prepare policy options to prevent terrorist introduction or use of nuclear and/or radiological devices and material within the United States through detection, interdiction, neutralization, and disposal of such devices, and to respond quickly and effectively in the aftermath of a domestic nuclear and/or radiological event.”*

## Working Group Structure

- 6 Subgroups
- Radiation Detection and Transportation
- Radioactive/Orphan Source Management
- Medical Preparedness and Response
- Classification and Security Guidance
- Science and Technology
- Consequence Management, Site Restoration, Cleanup, and Decontamination
- DHS Chairs all subgroups

## Consequence Management Recommendations

- Clearly define Federal responsibilities
- Develop a unified cleanup framework
- Evaluate response capabilities
- Assist in developing the National Response Plan
- Address the unique aspects of a nuclear detonation
- Identify appropriate plume models (TOPOFF2)

## Plume Modeling Issues

- Timeliness of plume projections
- Understanding of plume projections
- Number of available models
- Consistency of model inputs
- Consistency of model results

## Importance of Modeling Efforts

- Improving modeling capabilities
- Identifying roles and responsibilities
- Establishing response protocols
- Maximizing efficient use of resources

## Concluding Remarks

- Questions?
# Presentation: 241066

## Slide 1

## CFA and America Saves

***Consumer Federation of America*** is located in Washington, D.C., and was founded in 1968.  It is an association of more than 300 nonprofit pro-consumer groups Including Consumers Union, AARP, credit unions, housing co-ops and grassroots organizations.
***America Saves*** is a national social marketing campaign that seeks to motivate and support low to moderate income households to save and build wealth.
***America Saves Week***—February 24 through March 2, 2008

## Characteristics of a Social Marketing Campaign

- Campaigns take many years to succeed
- Emphasize consequences that are both negative and positive, short and long term
- As the campaign progresses the change often accelerates
- Successful campaigns are integrated and coordinated
- Campaigns are aided by powerful, relentlessly communicated messages- short memorable, and motivational.
- Both national and local efforts are essential
- Public policy can provide critical support
- Each campaign is unique

## Fifty-three Local, State and National Saves Campaigns

- 89,188 Savers  Enrolled

## What America Saves Provides

- Materials
- Posters
- Brochures
- Membership cards
- Newsletters
- Database
- Other materials as necessary
- Technical assistance at local level
- Training for motivational presenters and wealth coaches.
- Work with coalition and lenders on campaign development
- Media outreach

## Core Components of a Local Campaign

- Financial Products
- Savings account with low starting balance requirement and fees waived for an initial period
- Motivational Workshops
- Wealth Coaches
- Financial Resources
- Organizational Marketing
- Community Wide Marketing
- Saver Services

## Enrolling Savers

- Set a savings goal
- Emergency Fund
- Investment Savings
- Homeownership
- Debt Repayment
- Retirement Saving
- Establish a savings amount
- Identify an account and a financial institution
- Participate in a one-on-one counseling session
- Track progress

## Characteristics of a Successful Local Campaign

- Committed, energetic, competent leadership
- Broad-based working group/campaign coordinating committee that meets regularly
- Agreed upon campaign goals with written plan to achieve goal
- Committees coordinating campaign component development and implementation
- Robust organizational marketing plan
- Campaign infrastructure designed to go to scale
- Clear communications
- To markets
- To volunteers
- Financial resources
- Sustainability

## America Saves and IDAs

- IDA participants automatically qualify as Savers.
- Piggyback on America Saves campaigns and America Saves Week to enroll IDA participants.
- Supplement IDA participant savings with separate Saver account to provide emergency savings.
- Utilize America Saves and local campaign materials, information and motivation to support your efforts.

## Slide 10
# Presentation: 197236

## 5140 Electronic Parts Engineering – Organization Chart

**Technical Staff**
- Barry, Peter
- 5Bell, Bryan
- Ellery, Wendy
- 5Perret, Jonathan
- White, Mark

- .

- 1Agarwal, Shri
- Bivins, Gary
- Chen, Yuan
- Heidecker, Jason
- 1Powell, Ed
- 5Reed, Erik
- Roosta, Ramin
- Skinner, James
- 1Weiler, James

- MJC 04/30/2006

**5143: Project Support**
- Menke, Rob

**5141: Parts Engineering**** **Sheldon, Doug

- 1Adams, Jack
- Brown, Tom
- Cooper, Mark
- Erginsoy, Ed
- Fernandes, Nayla
- Funaiole, Dennis
- Franzen, Don
- Harris, Cate
- Lewis, Dorothy
- McClure, Steve
- Parks, Michael
- Piacentine, Jamie
- Sokol, Jeff
- Stanford, Kelly

- Gallegos, Manny
- Johnson, Sid
- 5Leon, Rosa
- Okuno, James
- Petkov, Mihail
- Ruiz, Ron
- Uribe, Jose
- Vu, Duc

**5145: Reliability & Failure**
**Analysis**
- Smith, Pat

**5144:Radiation Effects**
- 5Johnston, Allan

- Allen, Greg
- Becker, Heidi
- Benali, Simo
- Chavez, Rosa
- Edmonds, Larry
- 1Farmanesh, Farhad
- Guertin, Steve
- Irom, Farokh
- Laird, Jamie
- Langley, Tilan (LOA)
- Miyahira, Tets
- Nguyen, Duc
- O’Connor, Mike
- Patterson, Jeff
- Rax, Bernie
- Scheick, Leif
- 3Selva, Luis
- 1Solario, Joe
- 5Swift, Gary
- Thorbourn, Dennis

**5140 Electronic Parts Engineering – Organization Chart**

_**Parts Reps**_
- Drake, Debbie
- Ellis, Kristan
- Pardiwala, Chandra
- 1Piacentine, Joe
_**Parts Screening**_
_**Coordinator**_
- Island, Denise
_**Order Desk**_
- West, Gary
- Wono, Carolina
_**Flight Storekeeper**_
- 1Dominguez, Alice
- 1Lovers, Corey
- 1Stiebel, Richard

**5142: Parts Acquisition**** **
- Chiang, Nancy

*JPL - 72*
- 1*CAT-A - 12*
- 2*CAT-X - 00*
- 3*APX – 02*
- 5*Principal - (6)*
- 6*CBS  - 0*
- 7*IEP – 0*
*Total – 84*

- .

- 3Fong, Danny
- Mayo-Cupples, Linda
- Odell, Dorice

**5146:Parts Process Mgmt**
-  vacant

**Executive Management**
- Evans, Kristan – Manager
- Schöne, Harald - Deputy Manager
- [Rowe, DiDi – Secretary]

- .

- Berumen, Yvette
- 1Joiner, Tabitha
- Rowe, DiDi
- Westgate, Joan
- Wilde, Kathie
- 1Wilson, Amy
- Yang, Flora

- .

**5147: Administrative Staff**
- Chilicki, Michael

- [Wilson, Amy]

- [Wilde, Kathie]

- [Westgate, Joan]

- [Westgate, Joan]

- [Wilson, Amy]

- [Westgate, Joan]

- [Wilson, Amy – Sec’y]
# Presentation: 682270

## Integral Stirling and Joule-Thomson Cryocooler for Low Temperature Applications

**         ****ACCOMPLISHMENTS**
- Utilizes unique free-piston flexural bearing technology and linear drive motor concepts.
- Designed with multiple configuration options to provide flexibility in net cooling capacity.
- Derivatives of this design incorporate single and multi-stage Stirling cycle and pulse tube configurations.
- Use of flexural bearings and non-contacting clearance seals ensure high reliability and low maintenance.
**        ****COMMERCIALIZATION**
- Negotiations beginning with other domestic and international companies for derivatives of the BeCOOLTM.
- Projected sales will exceed $25M annually in 4 years, and employment is expected to increase by 50.
- Sales continue in many areas.

**Integral Stirling and Joule-Thomson Cryocooler for Low Temperature Applications**
***Stirling Technology Company***
***Kennewick, WA***

**     ****GOVERNMENT/SCIENCE APPLICATIONS**
- High performance computer cooling
- High temperature superconductive devices for cellular communication systems
- Environmental monitoring equipment
- Laboratory and medical instrumentation
- Other applications where liquid nitrogen is required for cooling

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

- Goddard Space Flight Center

- 1992 Phase 2, SS-158, 6/18/98

**INNOVATION**
- A long life, low temperature (cryogenic) cooling system for electronic devices and sensors.

***BeCOOL******TM****** High Capacity Linear Drive Cooler***

- Points of Contact:
- 	- NASA - Max Gasser; 301-286-8378
- 	- Stirling Technology - Tom Mitchell; 509-735-4700
# Presentation: 853745

## Pentaquarks in E949

- L. Littenberg  3 June 05

## What are penta-quarks?

- Strangeness = 0 + 0 + 0 + 0 + 1 = 1

- Minimum quark content is 4 quarks + 1 antiquark
- “Exotic” penta-quarks are those where the antiquark has a different flavor than the other 4 quarks
- Quantum numbers cannot be defined by 3 quarks alone.

- Unexpected feature: narrow width!

## Evidence for qqqqQ States

- _

## Evidence against qqqqQ States

- _

## Pentaquarks

- Conflicting evidence!
- Very difficult to resolve in production experiments - can always find an excuse!
- Need a “silver bullet” - formation experiment,  large cross-section, no excuses!
- Search for +(1530) in formation experiment with high intensity kaon beam and large acceptance detector
- K+nK0p, also can see K+pK+p
- Excellent beamline (LESB3) and detector (E949) available
- Would cost tens of millions of $ to duplicate!
- Running with RHIC (particularly p) very cheap
- Modest investment would make it possible

## LOI

- LOI submitted in Sept. 2004
- PAC encouraged the preparation of a full proposal
- Institutions:
- Arizona State U., BNL, IHEP, INR-Moscow, KEK, Ohio, RCNP-Osaka, Juelich, New Mexico

## LDRD

-  Would keep detector alive - huge investment preserved
- Mainly technical labor for minor modifications, care & feeding
- Need regular cosmic ray tests
- Some consumables (e.g. chamber gas, pmts)
- Modifications for pentaquark study
- Hodoscopes
- Bring safety systems up to spec.
- Success would initiate a new round of multiquark state studies at the AGS.

## Evidence for qqqqQ States

- _

- Available by June 30?
# Presentation: 491176

## Attribute Set Architecture

- Z39.50 Tutorial
**Lennie Stovel, RLG**
**August, 1999**

## Origin

- Bib-1 lacked architecture
- Bib-1 lacked semantics
- Bib-1 became “global-1”
- New sets had unclear relation with bib-1

- Attribute Set Architecture -- Z39.50 Tutorial -- August 1999

## Outcome

- Definition of attribute set classes
- Specification of class 1
- Recommendations for future activities

- Attribute Set Architecture -- Z39.50 Tutorial -- August 1999

## Comparison to bib-1architecture

- 12 attribute types versus 6
- Includes rules for omitted attributes
- Includes rules for repeatability

- Attribute Set Architecture -- Z39.50 Tutorial -- August 1999

## Follow-up activities

- Changes based on experience
- Utility attribute set
- Cross-domain attribute set
- Bib-2 attribute set
- Attribute set developers guidelines

- Attribute Set Architecture -- Z39.50 Tutorial -- August 1999

## For More Information

- Attribute architecture_http://lcweb.loc.gov/z3950/agency/attrarch/arch.html_
- Utility attribute set_ __http://lcweb.loc.gov/z3950/agency/__attrarch__/__util__.html_
- Cross-domain attribute set _http://www.__oclc__.org/~__levan__/docs/__crossdomainattributeset__.html_
- Bib-2 attribute set _http://www.rlg.org/home/__attrlib__/draft2.html_

- Attribute Set Architecture -- Z39.50 Tutorial -- August 1999
# Presentation: 210712

## Labscape: A Ubiquitous Laboratory Assistant for Cell Biology

## Visibility and Accessibility

- Lab Notebook

- Labscape

## Ubiquitous Deployment

## User Evaluation

**1. The elimination of scrap paper used during the protocol execution  -- important implications**
**2. An increase in the biologist's subjective sense of fluidity of interaction as compared to the scrap paper approach**
**3. A net decrease, or no change, in the total amount of time interacting with the computer as compared to scrap paper during experimentation**
**4. A net decrease in total time when lab notebook data entry is included**
**5. A net decrease in the time spent on protocol planning prior to experimentation**

## Infrastructure Evaluation

- Admin
- Problem Diagnosis
- Problem Recovery
- Component update/installation
- User/task configuration
- Developer
- Development effort
- Product Cost
- Power/Performance tradeoffs
- Support requirements
- Scalability
# Presentation: 917299

## Adult Immunization 2006
Satellite Broadcast
December 7, 2006

Vaccination of Healthcare Personnel Segment

**Satellite Broadcast**
**December 7, 2006**
**Vaccination of Healthcare Personnel Segment**

**Graphics subject to change**
**This material in the public domain**

## Sources of Healthcare Personnel Vaccination Recommendations

***Immunization of Health-care Workers: Recommendations of the Advisory Committee on Immunization Practices (ACIP) and the Hospital Infection Control Practices Advisory Committee (HICPAC).*****  *****MMWR***** 1997;46(No. RR-18):1-42.**
**Annual adult immunization schedule, available at**
**   ****www.cdc.gov/nip/recs/adult-schedule.htm**
**Vaccine-specific ACIP statements**

## Diseases with Occupational Riskfor Healthcare Personnel

**Hepatitis B**
**Influenza**
**Measles**
**Mumps**
**Rubella**
**Varicella**
**Meningococcal disease (certain laboratory personnel only)**

## Influenza Vaccination ofHealthcare Personnel

**Only 42% of U.S. healthcare personnel were vaccinated in 2004**
**Resource for improving influenza vaccination of healthcare personnel available: **
***   ******MMWR***** 2006; 55 (No. RR-2):1-15 (February 9, 2006)**
**   **

## Measles Vaccination ofHealthcare Personnel

**Born in 1957 or later**
**documentation of 2 doses of   measles-containing or other   evidence of immunity (e.g., serology)**
**Born before 1957**
**1 dose of measles-containing    vaccine should be considered**

## Mumps Vaccination ofHealthcare Personnel

**Routine vaccination**
**same criteria for immunity as for measles**
**During a mumps outbreak**
**facilities should strongly consider  recommending 2 doses of mumps  vaccine to unvaccinated personnel   born before 1957 who do not have  evidence of mumps immunity**

## Varicella Immunity AmongHealthcare Personnel

**Laboratory evidence of immunity**
**Clinician diagnosed or verified history of varicella or zoster**
**Age-appropriate vaccination**
**Birth before 1980 should NOT be considered as evidence of immunity for healthcare personnel**

## Healthcare Personnel Withouta Written Vaccination Record

**If a written vaccination record cannot be located, healthcare personnel should be considered susceptible  and should be vaccinated as age-appropriate**
**Serologic testing can be considered for diseases with an established serologic correlate of immunity (e.g., measles, rubella)**

## Hepatitis B Postvaccination Serologic Testing

**ACIP recommends testing for hepatitis B surface antibody 1- 2 months after the third dose**
**Anti-HBs of **_**>**_**10 mIU/mL indicates immunity**
**If negative, repeat series of 3 doses followed by repeat serologic testing**
**“****Catch-up” serologic testing of persons vaccinated (and not tested) in the past is not recommended (test if exposed)  **
# Presentation: 317630

## Annual NIH SBIR STTR Conference:

**Thrill of Victory and Agony of Defeat**
- Moderator:
- Rosemarie Filart, MD MPH
- Medical Officer, NIH
- February 26th, 2007

## Overall Perspectives

- Improvement of Patient Care and Health Care
- Scientific Contributions
- Funding through NIH SBIR STTR grant mechanisms

## Goals for Panel

- Thrill of Victory
- Grantee viewpoints
- Steps toward successful outcomes
- Networking
- Agony of Defeat
- Grantee viewpoints
- Lessons Learned

## Panel

- Introductions
- Speakers’ presentations
- Question and Answer period

## Speakers

- Barbara A. Israel, PhD
- Platypus Technologies, LLC

- Robert N. Schmidt
- Cleveland Medical Devices, Inc.

## Speaker: Barbara A. Israel, PhD from Platypus Technologies, LLC

- Chief Operating Officer of Platypus Technologies, Madison, WI
- Publications on Immunology of Herpes Virus, Bunyaviruses, and Adenovirus
- Extensive Grant portfolio
- Received 2001 National Institutes Allergy and Infections Diseases SBIR grants for “Biophotonic Detection of West Nile Virus antibodies and Multiple Species”
- Received 2001 National Institutes Environmental Health Sciences SBIR grant for “Personal Dosimeter for OPs Using Nano-structured Surface”

## Speaker: Robert N. Schmidt from CleveMed

- Founder and Chairman of Cleveland Medical Devices, Inc. and Orbital Research Inc.
- Each Business received the NORTECH/EDI Innovation Award
- Recipient Edison Biotechnology Center Award for Outstanding Contribution to Biotech in Ohio 1993
- Received 1997 National Institutes of Deafness and Other Communication Disorders SBIR grant for “Auditory transceiver for communication and hearing”
- Received 1996 National Heart, Lung, and Blood Institutes SBIR grant  “Ambulatory wireless sleep monitor”
# Presentation: 914767

##  Social Security:   Brief History ---Latest Projections --- What Can We Do?Stephen C. GossChief Actuary, Social Security Administration

- University of Massachusetts at Boston
- April 11, 2005

## The Beginning

- 1935---Middle of the Depression
- A “*National”* Pension Plan is Born
- 1937   Payroll tax
- 1% each Employee and Employer
- On earnings to $3,000
- No Change until 1950

## Benefits Start

- Until 1940, only return of contributions
- 1940– Retired worker, spouse, and widow benefits at age 65
- Required work after 1936
- Only 222,000 beneficiaries qualified
- But 35 million workers contributed

## Contribution Rates Rise

- 1950   1.5% employee and employer each
- 1954   2% each, on earnings to $3,600
- 1960   3% each, on earnings to $4,800
- 1966   3.85% each, on earnings to $6,600
- 1969   4.2% each, on earnings to $7,800
- 1974   4.95% each, earnings to $13,200
- 1984   5.7% each, on earnings to $37,800
- 1990   6.2% each, on earnings to $51,300

## As Benefits Expand

- 1956—Disability Benefits Added
- By 1975– Program is Mature
- 31 million Beneficiaries
- 100 million Workers Contribute
- 3.2 Workers per Beneficiary
- Today– 3.3 Workers per Beneficiary
- 48 million Beneficiaries
- 159 million Workers Contribute

## Old-Age and Survivors Insurance Program “Matures” by 1975

## Disability Insurance Program “Matures” by 1975

## And Changing Replacement Rates

## But, Birth Rates Have Fallen

## So, Workers per Beneficiary Will Shift to a New Lower Level

## And, Cost as Percent of Payroll Will Shift to a New Higher Level 

## Without Change, Trust Funds Will Run Out and Benefits Will Be Reduced

## We Have A Choice

- Raise Scheduled Revenue
- Lower Scheduled Benefits
- Increase Retirement Age
- Must do at least one
- Enacting Change Relatively Soon
- 		More advance notice
- 	   Gradual change
- 	   More options

## Last 2 Major Changes

- 1977 Amendments
- Benefit tables were out of control
- Double Indexing of Benefit levels
- Created “Wage-Indexing” for Initial Benefits
- Constant replacement rates
- 1983 Amendments
- Raise Retirement Age
- Solvency expected for 75 years

## The Next Changes

- Fix for the next 75 Years
- Make Financing Stable at the End
- Get cost and income in sync
- Get Trust Funds stable or rising
- Restore Solvency for foreseeable future
- By end of 75 years:  Need--
- One third lower cost or
- Increase revenue by half or
- Some combination of these

## Some Options

- Retirement Age
- Benefit Formula
- Cost-of-Living Adjustment
- Payroll Tax Rate
- Taxable Maximum
- Cover State and Local Government employees
# Presentation: 743893

## Stillbirth, Longevity and Fertility Update

## Trait Definition

**Percent stillbirths in heifers (%SBH), analagous to calving ease (%DBH)**
**Bases are stillbirths in heifers having bulls**
**Direct:**** 11.6% (bulls born in 2000)**
**Maternal:**** 13.6% (bulls born in 1995)**
**Provides “worst case” estimates**
**Alternative definitions**
**Calf livability = 100 - %SBH**

## Stillbirth Scores by Parity

## Distribution of PTA

## Distribution of Reliabilities

## Product-Moment Correlations(99% Rel, n = 571)

## Genetic correlations among Interbull evaluations for stillbirth1,2

## Correlations among domestic and Interbull stillbirth solutions (≥ 90% Rel)

## Calf Livability

## Flat PL Credits

**2**

**0**

**3**

**4**

**5**

**1**

**Years**

**20**

**140**

**40**

**60**

**80**

**100**

**120**

**0**

**Credit (%)**

**3**

**2**

**1**

## Lactation Curve PL Credits

**2**

**0**

**3**

**4**

**5**

**1**

**Years**

**20**

**140**

**40**

**60**

**80**

**100**

**120**

**0**

**Credit (%)**

**3**

**2**

**1**

## PL Heritabilities and Correlations 

| h2  | 10 | 12 | None | None +calf |   Lac curves |
| --- | --- | --- | --- | --- | --- |
| 10 mo | .073 | .998 | .957 | .963 | .989 |
| 12 mo |  | .069 | .956 | .961 | .989 |
| No limit |  |  | .067 | .992 | .991 |
| None+calf |  |  |  | .068 | .995 |
| Lac curves |  |  |  |  | .070 |

## Correlation of PL, Other TraitsPTA of bulls born since 1995

|  | Pro | SCS | DPR | Udd | Feet / Leg | Size | DCE |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Flat, 305 | .07 | -.28 | .59 | .12 | .04 | -.20 | -.26 |
| Curves | .10 | -.30 | .51 | .12 | .05 | -.21 | -.27 |

## PL Questions

**Flat or lactation curve credits?**
**Use data at 40 instead of 36 mo?**
**Adjust for inbreeding?**
**Curve definition passes trend tests with or without adjustment**
**Increase SD by 1.43?**
**Test in March, implement in May?**

## Days Open Genetic Correlations Jorjani, 2005 Interbull Bulletin

|  | DFS | ESP | GBR | IRL | NLD | NZL | USA |
| --- | --- | --- | --- | --- | --- | --- | --- |
| DFS |  | .91 | .91 | .75 | .93 | .76 | .91 |
| ESP | .91 |  | .89 | .82 | .90 | .83 | .93 |
| GBR | .91 | .89 |  | .84 | .96 | .84 | .85 |
| IRL | .75 | .82 | .84 |  | .80 | .70 | .80 |
| NLD | .93 | .90 | .96 | .80 |  | .83 | .88 |
| NZL | .76 | .83 | .84 | .85 | .83 |  | .73 |
| USA | .91 | .93 | .85 | .80 | .88 | .73 |  |

**DFS**** = Denmark-Finland-Sweden**

## Daughter Conception Rate Genetic CorrelationsJorjani, 2005 Interbull Bulletin

|  | CAN | DEU | DFS | FRA | ISR | NLD |
| --- | --- | --- | --- | --- | --- | --- |
| CAN |  | .90 | .80 | .78 | .72 | .70 |
| DEU | .90 |  | .72 | .92 | .65 | .47 |
| DFS | .80 | .72 |  | .75 | .96 | .62 |
| FRA | .78 | .92 | .75 |  | .70 | .42 |
| ISR | .72 | .65 | .96 | .70 |  | .64 |
| NLD | .70 | .47 | .62 | .42 | .64 |  |

**DFS**** = Denmark-Finland-Sweden**

## Have Computer, Need Data
# Presentation: 750758

## Suspicious Activity Report Filing Trend for the State of Mississippi                                                                                       For the Period April 1, 1996 through December 31, 2007

***Total SARs: 13,175***

**Suspicious Activity Report Filing Trend for the State of Mississippi                                                                                       For the Period April 1, 1996 through December 31, 2007**

## Characterizations of Suspicious Activity for the State of Mississippi

- Note:  The pie chart represents the top nine characterizations plus additional characterizations in total.
-            An individual SAR may cite more than one characterization.  Hence, the number of characterizations detailed here significantly exceeds the total number of SARs.

**Characterizations of Suspicious Activity for the State of Mississippi**
**For the Period April 1, 1996 through December 31, 2007**

## Mississippi Mortgage Loan Fraud SAR Filing Trend For the Period April 1, 1996 through December 31, 2007

***Total SARs: 620***

- Note:  Suspicious Activity Report statistical data is continuously updated as additional reports are filed and processed.  For this reason, there may be minor discrepancies between the statistical figures contained in this report and those in previous FinCEN reports.  Annual numbers for this exhibit are calculated by ***Subject Address*** and not filer address; therefore, the annual totals appearing in the above graph do not match those in Section 1, Exhibit 8 (Characterization of Suspicious Activity by State & Territory by Year).

## Suspicious Activity Report Geographic Pattern for the State of Mississippi

**For the Period January 1, 2006 through December 31, 2006**

**Note: Statistics based on Filer Branch Address**

## Suspicious Activity Report Geographic Pattern for the State of Mississippi

**For the Period January 1, 2007 through December 31, 2007**

**Note: Statistics based on Filer Branch Address**
# Presentation: 167357

## Daily Forecast Critique

- Tom LeFebvre

## Daily Forecast Critique

- Compare:
- forecasts to observations
- forecasts to forecasts
- observations to observations
- dprog / dt
- Uses its own archive generated from surface observations and grids from the ifpServer
- Accessible from GFE -Verify Menu

## Daily Forecast Critique

- Compares point observations to points     extracted from the gridded forecast.
- Can add local point data sources
- Configurable:

- _Data:_
- Station
- Models/times
- Purge time

- _Display:_
- Colors
- Symbols
- Fonts
- Screen size

## Daily Forecast Critique

## Daily Forecast Critique

- Improvements
- Convered display to use “biggles”
-  Behaves better
-  More configurable
-  Better date/time
-  Hidden data files regenerated when config files change

## Daily Forecast Critique

- Still much work to be done
- Grid to grid comparison
- Summary Statistics (Bias, MAE, others)
- Forecast monitor
- Automatic alerts
- Add more weather elements
# Presentation: 302222

## GPS Augmentation Services in Japanfor the 8th IISC Europe at PragueDecember 2 - 3, 1999

- by IISC CPoC in Japan
- Hiroshi Nishiguchi
- Japan GPS Council

## Current Augmentation Systems in Japan

**Current Augmentation Systems in Japan**

**MSAS :**

** ****MTSAT Satellite-based Augmentation System**

**(under Construction by JCAB)**

**Beacon DGPS :**

** ****Maritime Safety Agency**

**(FOC : April, 99 with 27 Ref. St. )**

**FM-DGPS :**

** ****Nation-wide Service by**

** ****Gpex**

** ****and Japan FM Network**

** ****using FM sub-carrier without direct charge**
**             ****(FOC : May, 97 with 7 Ref. St.)**

**RTK-OTH :**

** ****Marine Constructions, off-shore**

** ****Remote Constructions, in-land**

## Status of the Car Navigation Markets

**Actual shipment results**

**Source : JGPSC**

**FM-DGPS service has been provided since May,1997.**
**EIAJ figure + non EIAJ**

## GNSS Performance

**Accuracy**
- Difference between measured position and true position
**Integrity**
- The ability of system to provide timely warnings to users when the system should not be used for navigation
**Continuity**
- The capability to perform its function without non-scheduled interruptions during the intended operation
**Availability**
- The portion of time during which the system is to be used    for navigation
**Space reference**
- World Geodetic Systems, 1984 (WGS-84)
- APL(Airport Pseudolite)

## Ground Components

- Master Control Stations   (**MCS**)
-    **CPF**   Central Processing Facility
-    **NES**   Navigation Earth Station
-    **M&C**  Monitor & Control
- Ground Monitor Stations  (**GMS**)
- Monitoring & Ranging Stations  (**MRS**)
- Network Communication System (**NCS**)

## System Architecture

- Ibaraki MCS

- Sapporo GMS

- Fukuoka GMS

- Naha GMS

- User

- Australia MRS

- Hawaii MRS

- Kobe MCS

- Tokyo
- GMS

- GPS Constellation

- MTSAT

- KDD 128Kbs

- NTT  64Kbs

## SBAS Service Providers

**WAAS (USA)**
**phase 1 operation in 1999**
**CWAAS (Canada)**
**EGNOS (Europe)**
**planned for 1999**
**MSAS (Japan)**
**phase 1 operation in 2001**

## Interoperability among SBASs

**Receiver/Signal in Space**
**All SBASs to refer RTCA Do-229 MOPS**
**Network**
**Information exchange between SBASs**
**On-going Discussion in IWG**
**Interoperability Working Group among SBAS Service Providers**

##  Configuration of GBAS

-  **Ground Segment Architecture**
-  **GNSS Receivers**
** ****Data Processor**
** ****NABS Transmitter**
** ****Monitor**
** ****Pseudolite (Option)**
# Presentation: 042320

## Analysis of OMI Tropospheric NO2 data for Northwestern Europe

- Pepijn Veefkind, Maarten Sneep, Jim Gleason, Ed Celarier, Eric Bucsela, Folkert Boersma, Mark Wenig and Pieternel Levelt

## Slide 2

## Contents

- OMI Tropospheric NO2 gridded data set over Northwestern Europe;
- Comparison with ground based in-situ observations;
- NO2 over small cities in France:detection limit in yearly averaged data;
- Correlations between the OMI measured weekly cycle and traffic intensity data.

## NO2 Gridded Dataset

- Based on NO2 Level 2 Standard Product, Collection 2, Dec 2004 - Nov 2005;
- Grid definition 45°N - 55°N, 5°W - 10°E, resolution 0.02°x 0.02°;
- Effective cloud fraction threshold 0.30;
- Gridding process: Level2 to daily L3, daily L3 to annual average.

## Slide 5

## Ground Based In-Situ Data

- LML Dutch air quality network, www.rivm.nl/lml
- Regional, City and Street stations
- Mean yearly value per station for 12:00 to 14:00 hrs

## Comparison with the LML

## Zoom-in over France

- Cities of the size >100,000 habitants

## Detection Limit Test

|  |  |
| --- | --- |

- Assume two areas with different yearly average NO2 concentrations;
- Simulate the measured NO2 assuming a variation of 100% and a cloud contamination of 50%;
- Sample the simulated NO2 with a sensor with a certain spatial and temporal sampling and measurement uncertainty;
- Using a statistical test at 67 and 95% confidence level, determine the minimum detectable difference.

## Detection Limit of Tropospheric NO2

*The detection limit is defined as the minimum difference in tropospheric NO**2** in a yearly mean that is statistically meaningful.*
***Smaller values are better***

- OMI

- GOME-2

- SCIA

- Area observed 60x30 km2

## Spatial Resolution

- OMI Zoom 12x13 km2

- OMI 24x13 km2

**Mexico City, Jan. 20, 2005**

- Approx. GOME-2 72x39 km2

## OMI NO2 Weekly Cycle over The Netherlands

- Period Dec 2004 - Nov 2005, Normalized for Monday

## Traffic Intensity

- Mean values for the Netherlands for 2004;
- Three categories of vehicles: small vehicles, trucks and large trucks;
- Data source Transport  Research Centre (www.dataportal.nl)

## Weekly Cycle over The Netherlands

## Weekly Cycle over The Netherlands

-  Weekly cycle of other sources/sinks
-  Traffic data need improvement
-  Uncertainty in the OMI data

## Summary

- High spatial resolution gridded data set of OMI tropospheric NO2 data over Northwestern Europe;
- Yearly mean OMI NO2 tropospheric is highly correlated with yearly averaged surface in-situ NO2 for regional stations;
- Over France cities of ~100.000 inhabitants show up in the OMI data;
- The weekly cycle in the OMI data are highly correlated with traffic intensity data;
- Preliminary analysis shows that top-down estimates of the traffic contributions to NO2 concentrations can be derived from OMI data.
# Presentation: 502672

## Windows Pesticide Screening Tool WIN-PST

- NRCS
- National Water and Climate Center
- Amherst, MA

## WIN-PST

- NAPRA (National Agricultural Pesticide Risk Analysis) Team:
- NRCS
- Joe Bagdon   *Pest Management Specialist*
- Eric Hesketh  *Soil Scientist*
- University of Massachusetts Extension
- Steve Plotkin *WQ* *Specialist*
- Morgan Hugo *Software Engineer*

## WIN-PST

- WIN-PST is Pesticide Screening Tool:
- Easy to use
- Self contained
- Pesticide data
- Soils data
- Toxicity data
- Provides risk rating classes *(e.g., High, Intermediate, Low...)*
- Helps planners determine when mitigation is needed
- Available for NRCS Field Office use now

## NPURG
SPISP 1
Leaching Loss 
Surface Loss
Foliar Application	

- SPISP 1
- Leaching Loss
- Surface Loss
- Foliar Application

- WIN-PST
- SPISP 2
- Leaching Loss
- Solution Runoff
- Adsorbed Loss
- Management
- Rate
- Residue
- Banding
- Incorporation
- Irrigation
- Rainfall
*Toxicity*

## FOCS-PST
SPISP 2
Leaching
Solution Runoff 
Adsorbed losses
Impossible	 to use 

- SPISP 2
- Leaching
- Solution Runoff
- Adsorbed losses
- Impossible	 to use

- WIN-PST
- SPISP 2
- Leaching Loss
- Solution Runoff
- Adsorbed Loss
- Management
- Rate
- Residue
- Banding
- Incorporation
- Irrigation
- Rainfall
*Toxicity*

## WIN-PST

- Uses SPISP 2 (_*S*_*oil/*_*P*_*esticide *_*I*_*nteraction *_*S*_*creening *_*P*_*rocedure version 2)*
*Adds Management and Toxicty*
- SPISP 1  in  NRCS field offices 1988
- NPURG  uses SPISP 1

## Hazard Rating

- Soil Ratings

- Pesticide Ratings

- Interaction Rating

- Toxicity

## WIN-PST

- “Interaction” Hazard Categories

- Intermediate       Mitigation - basic level 					    (1 or 2 practices)

- Extra High         *Mitigation may not work*

- High                   Mitigation - higher level                                         					(3 or more practices)

## WIN-PST

- _Educate_ ag. producers- hazards of pesticide loss
- Factors that influence loss
- Factors that influence ‘hazard’
- _Identify_ potentially high risk soil/pesticide combinations
- _Design_ and apply conservation practices & mitigation techniques that reduce hazardous pesticide losses
# Presentation: 859159

## IFPS/GFE Best Practices and Forecast Methodology

- Dave Kellenbenz – Grand Forks, ND (FGF)

## Forecast Methodology

- We utilize break up of forecast responsibility based on time basis which is dictated by days weather
- Short Term forecaster (Day1-Day3) – constantly in grids
- Long Term forecaster (Day3-Day7) – Aviation forecaster
- If Short term forecaster needs help, then long term forecaster can step in since they are familiar with current weather because of aviation concerns
- Grid distribution depends on weather (ie. Big storm short term will only concentrate on first 36 hours etc.)
- Forecasters utilize Sky grid smart tools/smart init a great deal. Still trying to integrate more smart tool usage into forecast process
- Snow Amount smart tools also have helped a lot with snowfall amounts
- Have found ISC to be challenging, but think 12Planet will help

## Utilization of HMT/Interns in GFE

- HMT/Interns responsible for all Dewpoint, RH and Fire Weather related Grids
- They also run MaxT/MinT, Windchill, Heatindex grids
- They will monitor near term grids (0-3hr) in very near future for updates in coordination with short term forecaster
- Have helped a great deal with Grids and helped make transition to IFPS and workload manageable for forecasters
- Could not do job right without them, just too many grids to manipulate

## Sky Smart Tools

- Smart tools have helped a lot to identify different cloud layers in grids
- Eta seems to work best with more levels available
- Have put Eta layered 1000-500mb rh into sky smart init.

## Snow Amount Smart tool

- Can be run for 1hr or 6hr snow amt grid
- Runs of input QPF, surface temp, freezing level, topo and snow ratio
- Good to input user snow ratio in strong advection cases, which affects vertical temp profile the most. (WAA-lower ratio)

## Conclusion

- Office has demonstrated ability to adapt and be flexible
- Check grids after interpolating, very important to go back and look at grids to make sure grids are what you want
- Coordination among entire operational staff is excellent
- Proficiency of operational staff at fairly high level, so if someone is asked to help with certain grids they can
- Will strive to use more smart tools, smart init, text formatters and DFC in future
- Questions, comments  ???
# Presentation: 763338

## Introducing SAM (Sun and Aureole Measurement),a New, Ground-based Capability for MeasuringCloud Optical Properties

**Introducing SAM (Sun and Aureole Measurement),****a New, Ground-based Capa****bility ****for Measuring****Cloud Optical Properties**

**Presented to**
**Cloud Properties Working Group**
**IRF Working Group**
**ARM Science Team Meeting**
**John DeVore (devore@visidyne.com)**
**A.T. Stair (ats@visidyne.com)**
**Bob McClatchey****1**** (RMcClatchey@msn.com)**
**Visidyne, Inc.**
**781-273-2820**
**March 2006**

**1**** Consultant**

## Sun Tracker Advantages for Cloud ODs

**Sun Tracker Advantages for Cloud ODs**

**More dynamic range for measuring OD**
**No assumptions about the scatterers**
**Not affected by the ground albedo**

- Plot based on Monte Carlo calculations

## Example Calculations of Aureole Profiles

**Altostratus distribution of water droplets**
**Cirrus distribution of hexagonal ice columns**
**Profile shape determined by size distribution**

- Solar elevation = 45o

## Example SAM Dataset

**Note large dynamic range (~4 decades)**
**OD ~ 1.3 (uncorrected)**
**Corresponds to photo on title chart**

## Model Comparisons with SAM Data

**Same models as in chart #3**
**Best fit is for cirrus distribution of ice crystals**
**OD difference is due to forward scattering**

## Parametric Model Fit to Data

**Parametric in power-law slope**
**Best fit slope ~ -3.0**
**Best fit OD = 1.5**

## Particle Size Retrievals

**Power-law model with slope = -3.0**
**Simple diffraction model approximation results in an analytic size inversion**

## Forward Scattering Correction for OD

**Forward scatter reduces apparent OD**
**Correction increases with OD**
**Correction depends upon shape and size**

- Based on Monte Carlo calculations

## SAM Complements AERONET Instruments

**SAM measures larger particles**
**SAM corrects AERONET OD for cirrus**

## Postulated SAM Applications

**Climate (cloud) monitoring**
**Cloud physics research**
**Complements AERONET**
**Satellite cloud algorithm cal/val**
**EDRs (NPOESS, GOES-R)**
**CDRs (NPP)**
**...**

**Data shown taken with breadboard instrument**
**Visidyne has built 3 prototype instruments**
**Visidyne is seeking collaborative projects to demonstrate the utility of SAM**
# Presentation: 236773

## Slide 1

## The Ideal Peer Counselor

## Ideal Qualities To Consider

- Enthusiasm for breastfeeding
- Basic communication skills
- Previous breastfeeding experience
- Similarities with WIC clients served
- Current or previous WIC client
- Ethnic background
- Age
- Language spoken

## “Any time you are trying to encourage someone to do something out of her normal [experience]...and you have someone who is in the same culture or in the same age group... yeah, it’s going to make a big difference if she chooses to breastfeed or not.  I really believe that.”				                   WIC Peer Counselor	

## Recruiting Peer CounselorsWithin WIC

- Database of WIC breastfeeding mothers
- Recommendations from WIC staff
- Promotional signs in the WIC clinic, food distribution centers and other places frequented by WIC families

## Recruiting Peer CounselorsIn The Community

- Recommendations from pediatric clinic staff
- Recommendations from local La Leche League
- Promotional signs in general community locations (department stores, grocery stores, etc.)
- Ads in local newspapers

## The Application Process

- Application identifies:
- Availability
- Goals
- Motivation
- Telephone availability

## The Interview Process

- Interview identifies:
- Enthusiasm
- Breastfeeding knowledge and experiences
- Communication skills
- Passion for helping other mothers with breastfeeding

## Interview Logistics

- Make her comfortable – this might be her first job interview
- Avoid group interviews
- Sit at the level of the interviewee
- Use open-ended questions and active listening principles to affirm her

## Open-EndedInterview Questions

- Tell us about the support you had while breastfeeding
- What was most challenging about breastfeeding for you, and how did you deal with those challenges
- What do you most hope to gain from becoming a peer counselor

## How Many Is Enough?

**Recruit and train twice as many**
**as you think you will need!**

## How Many Is Enough?

- Number of clinic sites
- Caseload at each clinic site
- Demographics of the area
- Responsibilities required of the peer counselors
- Hours per week each peer counselor can work
- Frequency that sites schedule certifications of pregnant and breastfeeding women
- Varied caseload mix of peer counselors

## Tips To Help With Calculations

| Type of Contacts | Calculating Time Charged |
| --- | --- |
| Telephone Calls  | 4-6 calls per hour, including documentation time |
| Home Visits | Around 2 hours per visit, including travel time and documentation (will vary depending on assistance provided, and distance to mother’s home) |
| Hospital Visits | Varies depending on purpose (general 1st introduction rounds vs. problem-solving) |
| Clinic Counseling | Around 30 minutes per visit, including time to document the counseling |
| Classes and Support Groups | Around 2 hours (1 hour class, plus preparation and class set-up) |

## Start Small!

## Slide 15
# Presentation: 368921

## Cavity Fabrication: Niobium Material QC and Fabrication Technology at Fermilab

- S. Reeves, H. Edwards, H. Carter, A. Beutler, C. Boffo, C. Cooper, M. Foley, T. Khabiboulline, D. Mitchell, A. Rowe Fermilab, Batavia, Illinois, 60510 USA

- The process of forming SCRF cavities that will perform at the highest gradients begins with stringent quality control of the raw material, niobium sheet and bar stock, and follows a path of precision forming, chemical etching, EB welding components, tuning the frequency of the components, and final welding.
# Presentation: 672340

## Measurement of the Bottom Quark Production Cross Section in p-p Collisions at 

- Measurement of the Bottom Quark Production Cross Section in p-p Collisions at
- Ös = 630 GeV at the Tevatron

- Kevin P. Davis
- University of Arizona
- for the DÆ Collaboration

- I.  Motivation
- II.  Data Analysis
- III.  Cross Sections
- IV.  Conclusions

## Motivation

- DÆ has measured the *b-*quark production cross section at 1800 GeV with various data samples
- The 630 GeV data permits study of the energy dependence of the *b-*quark cross section with the same detector

## Data Selection

-  Single muon trigger at Level 1 and Level 2
-  Kinematic Cuts
- 	| hm | £ 0.8
- 	4 GeV/c < PTm < 12 GeV/c
-  Fiducial Cut
- 	50° < fm < 130°
-  Muon Quality Cuts
-    	Momentum kick from Magnetic field > 0.6 GeV/c
-    	Successful global track fit
- 	(VTX+ CDC+ Calorimeter+Muon)
-  Calorimeter Cuts
-    	Energy in calorimeter along muon track > 1 GeV
-   	Energy deposition consistent with muon track in all
- 		hadronic layers
-  Scintillator Cut

## Cosmic Ray

- Background Estimation

-  Cosmic ray background estimated using scintillator time-of-flight information

## Cosmic Ray

-  The cosmic ray background remaining in the final sample exhibits a strong dependence on muon pT

-  Analysis restricted to

- Background Estimation

## Detection Efficiency

-  The global muon detection efficiency is the product of
-  Efficiencies are obtained from Monte Carlo and cross-checked with data whenever possible

-  Levels 1 and 2 trigger efficiencies
-  Muon reconstruction efficiencies
-  Offline selection efficiency (includes fiducial cut)

## Unfolding the Detector Resolution

-  Muon spectrum unfolding based on the relation

-  To fit the  inclusive muon cross section, we used

## Inclusive Muon Cross Section

-  The inclusive muon cross section is given by

## b-Produced Muon Cross Section

*b-*Produced Muon Cross Section

-  Muon cross section from inclusive *b-*quark decay
-  p/K cross section and *b-*fraction from ISAJET
-  Theoretical spectrum calculated using HVQJET
-  Theoretical uncertainty obtained by varying
-  4.5 GeV/c2 < mb < 5.0 GeV/c2
-  mo / 2 < m < 2mo       mo o Ö(mb)2 + (pTb)2

## Inclusive b-quark Production Cross Section

- Inclusive *b-*quark Production Cross Section

- Extraction of the *b-*quark cross section is based on the UA1 method
- where

## Inclusive b-quark Production Cross Section

- Inclusive *b-*quark Production Cross Section

-  Central value of QCD calculation generated with MNR
-  Theoretical uncertainty obtained by varying
-  4.5 GeV/c2 < mb < 5.0 GeV/c2
-  mo / 2 < m < 2mo     mo o Ö(mb)2 + (pTb)2

## Inclusive b-quark Production Cross Section

- Inclusive *b-*quark Production Cross Section

- Ratio Data/Theory

## Energy Dependence

## Conclusions

-  We have measured of the *b-*quark production cross section at Ös = 630 GeV.
-  The *b-*quark cross section lies about a factor of 2.5 above the central NLO QCD predictions, similar to the 1800 GeV results.
-  The ratio of the 630 GeV cross section to the 1800 GeV cross section is compatible with NLO QCD expectations.
# Presentation: 698494

## Payload 2 Construction

**Payload 2 had unique requirements**
- Camera/timing Circuit
- Solar Array
- Photo Cells
- Data Logging
**Foam Core with plastic end-pieces**

## Horizon Camera

## Land UseVertical Camera

- Shelby

- New Haven

- Plymouth

- Greenwich

## Aerogel Dust Collection

- Aerogel

- Ball Valve

- Pollen?

## UV Exposure

**Successful Measurements**
- Reliability
- testing
- Environmental Conditions
- analysis
- Testing/Analysis
- Certification
- responsibility

## Slide 6