BEE-spoke-data/govdocs1-by-extension huggingface dataset:
# Presentation: 376173

## FISL model update

- The model can now be initialized with real data.
- The model has a post-processor that is partly ready and usable.
- The computer codes for the first two items are built upon modules developed by Z. Janjic.

- Sajal Kar  Oct 27, 2006

**Notes:**
The post-processor developed by Zavisa is meant for use in NMMB model. For FISL model applications, presently, I have made minimal changes to the code so that I can look at some results. Further work on the post-processor code is necessary before it becomes consistent with the FISL model vertical discretization.

## FISL model

- FISL_Hyd3D: Fully-implicit semi-Lagrangian 3D hydrostatic model
- Horizontal: Conformal map-projection, Cartesian coordinates. A grid.
- Vertical: Sigma coordinates with a constant pressure top. Lorenz grid.

**Notes:**
Conceptually, it would be easy to convert the -coordinate in FISL to a hybrid -p coordinate that is presently used in NMM. 

## Some test results from FISL..

- Made numerous no-physics test runs of the model. Results are for the initial condition of 00z, Oct 19.
- _Present configuration_: model top at 10hPa with 32 uneven levels. Lambert conformal grid 212 with 185x129 points with grid size 40.63 km. The time step is 10min, no forward weighting. A very-scale selective filter is applied at each time step. There is no other damping or diffusion.
- A lateral boundary relaxation scheme is applied at one grid point, to the prognostic variables u, v, T, q, and ps at each time step.

**Notes:**
We have made many test runs using real data. The case presented here is based on 00Z GFS analysis of October 3, 2006. We have varied the thickness of the boundary relaxation zone. A thinner sponge seems to perform ‘better’. Use of a singe-grid zone presented here was suggested by Zavisa.

## Tendency-relaxation lateral-boundary scheme

## Model topography on grid 212 

**Notes:**
The topography is not smoothed before it goes into the model.

## A typical view of vertical levels ..

**Notes:**
There are 32 levels in the vertical with the top at 10hPa. There are five levels above 200hPa.

## Typical view of a model field on a sigma level

- [ This is why one needs a post processor]

## z and (u,v) at time 00(200,500,700,850)hPa

## z and (u,v) at Hour 12t = 10 min, g=0

## z and (u,v) at Hour 24

## T and q at time 00(200,500,700,850)hPa

## T and q at Hour 12

## T and q at Hour 24

## MSLP & 1000-500hPa Thickness

## Tasks ahead ..

- Address lateral boundary problem.
- Finish post-processor module.
- Include physics.
- Parallelize model code.
- Extend into -p hybrid, 3d semi-Lagrangian, nonhydro, and global.
# Presentation: 434813

## Marketer Transportation Concerns

- Pilot Travel Centers LLC
- 238 Travel Centers in 38 states
- 950 Transport deliveries daily
- 83% Highway diesel
- 65% Corporate fleet
- 35% Common Carrier

## Marketer’s ULSD Transportation Issues

- Terminal loading mistake by driver or problem at loading rack.
- Multiple suppliers
- Multiple terminals
- Winter blending
- Marketer tank switching because of price or availability

## Marketer’s ULSDTransportation Issues

- Common carrier – prior load of off road
- Off loaded at an off road site- tanker not level
- Accidental mis-drop by transport driver
- Retailer’s tanks not marked properly
- Downgrading

## Marketer’s Transportation Issues

- Contamination Concerns:

| 7,500 Gallons 15ppm ULSD contaminated with: | <500 ppm Diesel Fuel | <3000 ppm Jet/Diesel Fuel | <5000 ppm Heating Oil |
| --- | --- | --- | --- |
| 7 Gallons or .1% | + .5 ppm | + 3 ppm | + 5 ppm |
| 37 Gallons or .5% | + 2.5 ppm | + 15 ppm | + 25 ppm |
| 75 Gallons or 1% | + 5 ppm | + 30 ppm | + 50 ppm |

## Possible Solutions

- Good Quality controls
- Require prior load of Gasoline or ULSD
- Lock 15 ppm storage tank
- Driver training
- Good dependable suppliers

## Possible Solutions

- Test product regularly and especially after tank turn
- Need inexpensive, easy test
- Make sure storage tanks are labeled clearly
- Good common carriers
- Need 500 ppm or less off road diesel
# Presentation: 735993

## 5140 Electronic Parts Engineering – Organization Chart

**Technical Staff**
- 5Burke, Gary 4-1616
- 5Johnston, Allan 4-6425
- Odell, Dorice 3-1057
- Risse, Lori 4-5131
- Snyder, Wendy 3-4050
- White, Mark 3-4173

- .

- Bivins, Gary 3-1888
- Chen, Yuan 3-0940
- Heidecker, Jason 3-7567
- 9Powell, Ed 4-3188
- Roosta, Ramin 4-7385
- Skinner, James 3-4032
- Smith, Ray 3-7547
- Spence, Penelope 4-2246
- Whittington, Kathy 4-8749

**5143: Project Support**
- Harris, Cate 3-7278

**5141: Parts Engineering**** **Sheldon, Doug 3-5113

- Brown, Tom 3-6452
- Cooper, Mark 4-6175
- Fernandes, Nayla 3-4175
- Fong, Danny 4-8486
- Funaiole, Dennis 4-8556
- Jimenez, Gustavo 4-0681
- Piacentine, Joe 3-7208
- Stanford, Kelly 3-6716

- Gallegos, Manny 3-6819
- Johnson, Sid 4-2298
- 5Leon, Rosa 3-9066
- Nguyen, Duc 4-8554
- Okuno, James 4-8625
- Petkov, Mihail 4-1715
- Ruiz, Ron 4-2184
- Uribe, Jose 4-0322
- Vu, Duc 4-2019
- Weerasinghe, Vidu 3-4889

**5145: Reliability & Failure**
**Analysis**
- Sadigursky, Michael 4-5573

**5144:Radiation Effects**
- McClure, Steve 4-0482

- Adell, Philippe 4-1637
- Allen, Greg 3-7558
- Becker, Heidi 3-5491
- Bowles-Martinez, Jessica 4-6167
- Edmonds, Larry 4-2778
- Guertin, Steve 3-6895
- Harris, Rick 3-6872
- Irom, Farokh 4-7463
- 1Kenna, AJ 4-0108
- Miyahira, Tets 4-2908
- O’Connor, Mike 4-5595
- Rax, Bernie 4-9799
- Scheick, Leif 4-3272
- 3Selva, Luis 4-5751
- Solario, Joe 3-6815
- 1Swimm, Randy (5132) 3-7244
- Thorbourn, Dennis 4-1830

**5140 Electronic Parts Engineering – Organization Chart**

_**Parts Reps**_
- Ellis, Kristan 4-1636
- Menches, Heidi 4-5902
- Pardiwala, Chandra 3-7250
_**Parts Screening**_
_**Coordinator**_
- Island, Denise 3-4144
_**Order Desk**_
- Drake, Debbie 4-6335
- Mayo-Cupples, Linda 4-0721
_**Flight Storekeeper**_
- Dominguez, Alice 4-5425
- Stiebel, Richard 4-5425
_**Assistant**_1Cervantes, Richard 4-2561
- 1Ko, Marvin 4-4835
- 1Nowak, James 4-5425
- 1Raff, Will 3-7228

**5142: Parts Acquisition**** **
- Chiang, Nancy 4-0949
- Pantaleon, Jose (Lead) 4-1949

*JPL - 64*
- 1*CAT-A – 07*
- 3*APX – 01*
- 5*Principal - 03*
*8**Summer -00*
*9**IEP -01*
*Total – 76*

**Management**
- Schöne, Harald - Manager 3-1736
- Menke, Robert - Deputy Manager 3-7780
- [Wilson, Amy 3-1770]

- 1Boyer, Ryan 4-6246
- Carrillo-Ploen, Tracy 4-4183
- Rowe, DiDi 4-5591
- Sarabia, Norma 3-5469
- 1Schwadron, Judi 3-9010
- Westgate, Joan 4-9529
- Wilde, Kathie 3-6031
- Wilson, Amy 3-1770

- .

**5147: Administrative Staff**
- Romejko, Mark, 4-0037

- [1Boyer, Ryan 4-6246]

- [Wilde, Kathie 3-6031]

- [Westgate, Joan 4-9529]

- [1Boyer, Ryan 4-6246]

- [Westgate, Joan 4-9529]

- [Wilson, Amy 3-1770]

- JS 1/23/2009
# Presentation: 715363

## Processable Thermoplastic Polyimides

**                               ****ACCOMPLISHMENTS**
-   Developed new procedures to prepare highly processable 		polyimides
-   Polyimides can be supplies without solvent
-   Optimizedaration of key low cost raw materials - anhydrides
-   Polyimides can be supplied in various grades depending on 		properties required for the end product
**                             **
**   ****COMMERCIALIZATION**
-   Key raw materials prepared - anhydrides
-   Aircraft cable coating
-   High temperature adhesives for titanium
-   Composite matrix resin and high temperature foam
-   High temperature molding compound
- 	Tougheners in printed circuit board resins

**Processable Thermoplastic Polyimides**

***IMITEC, Incorporated***
***Schenectady, NY***

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

**      ****GOVERNMENT/SCIENCE APPLICATIONS**
**  **HSCT - Composite matrix resins
-   HSCT - Structural adhesives
-   Prototype foam developed for reusable launch vehicle 	(X-33)
-   Developed insulation for lightweight, cost-effective 		aerospace electrical cable and wire

- 1993 Phase II, NAS1-19966
- NASA Contact
- Company Contact : Betty Tung 518-374-9101
- Email : Btung@Albany.net

- Langley Research Center

**450 gallon SS polyimide reactor with filter station**

- The production of melt and solution processable for advanced materials and matrix resins
# Presentation: 120625

## P1583IEEE Voting System Standard

**What Is It?**
- Herb Deutsch
- December 10, 2003

## Scope of Standard

- Includes polling place equipment used by voters
- Paper type ballot tabulators
- DRE voting units
- Ancillary equipment at polling place for use with target equipment
- Firmware/software used in target equipment
- Evaluation Standard

## Scope of Standard (Continued)

- Excludes
- Central site ballot tabulators
- Front end software for ballot preparation
- Front end hardware/software for programming memory devices used with target equipment
- Back end hardware/software for results accumulation and reporting
- Host or regional site communications hardware/software

## Requirements Addressed

- Security & Confidentiality
- Reliability & Accuracy
- Usability & Accessibility
- Environmental
- Electromagnetic Compatibility
- Software & Functionality

## Encompassed Election Processes

- Pre-Election Preparation
- Loading election definition
- Logic & Accuracy testing
- Transport of equipment to polling place
- Election Day
- Opening of polls
- Voting process
- Closing polls
- Getting results
- Post Election
- Collection of equipment
- Storing equipment

## Evolution of the Standard

- First committee meeting September 2001
- Task Groups formed by technical section with subject matter experts appointed as leaders
- Technical sections extracted from FEC 2002 (Requirements/Testing)
- Task Group members enhanced sections
- Sections put out for interest group balloting
- Comments resolved and section updated until balloting passed
- Full document created from approved sections
- Full document put out for committee balloting
- Ballot failed and over 1000 comments received

## Vendor Perspective on VSS and Certification Testing

## Benefits of Voting System Standards

- Standards necessary to establish baseline requirements/testing
- Sets requirements for new development
- ITA process assures all vendors equally treated
- Promotes vendor viability for long term support
- Assures adequate documentation for continued support without vendor

## Areas of Concern and Decision Impact

- New system versus upgrade
- Tabulator versus supporting software
- Equipment choice – Custom versus COTS
- Software choice – Custom versus COTS
- Ability to rapidly deploy upgrades for bug corrections & usability enhancements
- Standards changes should be evolutionary not revolutionary

## Enhanced Requirements Impact Cost/Benefit/Risk Tradeoffs

- Development
- Time & dollars spent to implement
- Risk of breaking working system
- Equipment – Additional cost vs benefit/risk
- Testing – Additional cost/time vs benefit/risk
- Usage – Additional complexity impacting training, testing, operation
# Presentation: 548846

## New Channel Access Nameserver

*Joan Sage*
*12/4/01*

## Overview

- Background
- Motivation
- Old JLab Nameserver
- New JLab Nameserver
- Results

## Background

- By default, EPICS does not use a nameserver
- Process variable name resolution achieved via UDP broadcasts
- JLab has used a cdev based nameserver for BURT and MEDM clients for several years

## EPICS PV Name Resolution

- Client

- Broadcast
- TCP Connection

## Why Use A Nameserver?

- Reduce IOC CPU load due to broadcast requests for name resolution
- Provide PV location information for tools that do not require connection
- Improve client connection time

## Why A New JLab Nameserver?

- Old JLab Nameserver
- Integration with client programs required code changes and recompilation
- Required changes to Channel Access Library
- Because of these difficulties, the old nameserver was only used with BURT and MEDM

## New Nameserver

- No modifications needed to client code
- No modifications to Channel Access Library
- Client programs are configured to use nameserver by setting EPICS_CA_ADDR_LIST to the IP Address of the Nameserver host and by setting EPICS_CA_AUTO_ADDR_LIST to NO

## New Nameserver

- Nameserver reads signal.list files generated by IOCs at boot time to fill initial hash table
- Nameserver “learns” about PVs added to the system after startup by broadcasting to fill unknown PV requests

## New Nameserver

- Built on PCAS example code – directoryServer (Jeff Hill’s suggestion)
- pvExistTest reimplemented
- Heartbeat CA monitors for each IOC

## New Nameserver

- Runs as a daemon with automatic restart on failure (code stolen from CA Gateway)
- Nameserver Startup Time < 5 sec for 250K PVs

## New Nameserver

- Nameserver monitors IOC heartbeat for connection events
- When an IOC goes down
- Hashtable updated
- Nameserver monitors for reconnection events
-  Nameserver does not respond to clients asking for PVs on IOCS that are down
- Deleted and moved PVs are automatically handled

## New Nameserver

- NS

- Client

- Broadcast
- TCP Connection

- Fallthrough*

- *Nameserver Hash Table IS Updated

## Results

- Tested name resolution and connection
- 10,465 PVs on 36 IOCs
- Max 300 PVs/IOC
- Without Nameserver – 4.39 sec
- With New Nameserver – 2.18 sec
- Being used successfully for Jlab operations for 3 months

## Side Effects

- An extra computer is required to run the Nameserver
- Central “database”
- Allows generation of a list of PVs that never resolve
- Allows identification of duplicate PVs
# Presentation: 502388

## Result of an Action to Determine if the HQs EMD Conducted an ISO 14001 Compliance vs. Certification Cost AnalysisAction From the July 7, 2005 MSWG Conference Call

- Mike Green, EMD stated that:
- EMD estimated the costs to go to 1) compliance and to 2) certification based on the scenario of starting from a zero baseline quality system.  In these scenarios, the cost delta to go to certification from a compliance quality system level is estimated to be about 25% of the cost to compliance.
# Presentation: 680408

## Total Deficits and Surpluses as a Share of GDP,1965 to 2014

- Percentage of GDP

## CBO ́s Baseline Budget Outlook

## CBO ́s Baseline Budget Projections of Revenues 

**and Mandatory and Discretionary Spending**

- Percentage of GDP

## CBO ́s Baseline Budget Projections(Percentage of GDP)

## CBO ́s Economic Projections for Calendar Years 2004 Through 2014

## Uncertainty of CBO ́s Projections of the Budget Deficit or Surplus Under Current Policies

- Percentage of GDP

## Energy Prices

- Dollars per unit

## Total Factor Productivity

- Index, 1996 = 1.0

## The Budgetary Effects of Policy Alternatives Not Included in CBO ́s Baseline

|  | 
2005 | 
2006 | 
2007 | 
2008 | 
2009 | 
2010 | 
2011 | 
2012 | 
2013 | 
2014 | Total, 2005-2009 | Total, 2005-2014 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Policy Alternatives That Primarily Affect Discretionary Spending for Activities in Iraq and Afghanistan |  |  |  |  |  |  |  |  |  |  |  |  |
| Remove Supplementals
   After 2004 | 39 | 96 | 121 | 135 | 146 | 156 | 168 | 178 | 191 | 203 | 536 | 1,433 |
| Assume the Slowdown of
   Such Activities | 19 | 53 | 68 | 83 | 99 | 117 | 131 | 139 | 150 | 160 | 321 | 1,018 |
| Other Policy Alternatives That Affect Discretionary Spending |  |  |  |  |  |  |  |  |  |  |  |  |
| Increase Discretionary
   Approps. at Growth Rate
   of Nominal GDP | -10 | -30 | -55 | -83 | -113 | -146 | -180 | -217 | -256 | -299 | -290 | -1,388 |
| Freeze Discretionary 
   Appropriations | 10 | 29 | 52 | 78 | 107 | 138 | 173 | 207 | 247 | 288 | 277 | 1,331 |
| Policy Alternatives That Affect the Tax Code |  |  |  |  |  |  |  |  |  |  |  |  |
| Extend Expiring Provisions--
   EGTRRA and JGTRRA
   Partial expensing
   Other and debt service
      Total | 
-13
-38
-7
-59 | 
-33
-71
-11
-115 | 
-35
-66
-21
-123 | 
-34
-58
-32
-124 | 
-42
-48
-40
-130 | 
-39
-40
-50
-129 | 
-175
-33
-64
-272 | 
-280
-28
-84
-393 | 
-292
-26
-108
-426 | 
-306
-28
-134
-469 | 
-157
-281
-111
-550 | 
-1,249
-437
-551
-2,237 |
| Reform the AMT | -7 | -21 | -29 | -39 | -52 | -65 | -59 | -42 | -50 | -60 | -149 | -425 |

**The Budgetary Effects of Policy Alternatives Not Included in CBO ́s Baseline**

## CBO ́s Baseline Projections of Discretionary Spending and Homeland Security Spending

- Billions of dollars

## CBO ́s Baseline Budget Projections(Billions of dollars)

## CBO ́s Economic Forecast for 2004 and 2005

## Comparison of CBO ́s, Blue Chip ́s, and the Administration ́s Forecasts for 2004 and 2005 (Slide A)

## Comparison of CBO ́s, Blue Chip ́s, and the Administration ́s Forecasts for 2004 and 2005 (Slide B)
# Presentation: 558258

## Sports-Related Eye Injuries:What You Need to Know and Tips for Prevention 

## Sports and Eye Injuries

- Eye injuries are the leading cause of blindness in children.
- Every 13 minutes, an ER in the United States treats a sports-related eye injury.
- Most eye injuries among kids aged 11 to 14 occur while playing sports.

## Sports and Eye Injuries

- Baseball is a leading cause of eye injuries in children 14 and under.
- Basketball is a leading cause of eye injuries among 15- to 24-year-olds.

## Financial Cost of Eye Injuries

- Sports-related eye injuries represent a significant eye health hazard worldwide.
- Sports-related eye injuries cost $175 to $200 million a year.
- Hockey face protectors have saved society $10 million a year.
- Use of protective eyewear can decrease insurance costs.

## Eye Exams 

- A comprehensive eye exam is important for everyone.
- Exams may detect
- 	pre-existing eye conditions in athletes.
- Not all athletes have had their eyes examined.

## Health Providers Should Advise 

- Family physicians, ophthalmologists, optometrists, and other health care providers play a critical role in advising patients to use protective eyewear.

## Sports with the Highest Rates of Eye Injuries 

- Baseball/Softball
- Ice Hockey
- Racquet Sports
- Basketball

## Sports with the Highest Rates of Eye Injuries

- Fencing
- Lacrosse
- Paintball
- Boxing

## Protective Eyewear

- Protective eyewear may prevent 90 percent of sports-related eye injuries.
- Experts agree that protective eyewear must meet ASTM standards.

## Protective Eyewear

- All kids need protective eyewear.
- Ordinary prescription glasses do not provide adequate protection.
- Eyewear should be sport-specific and sit comfortably on the face.
- Protective eyewear is usually made of polycarbonate.

## Benefits of Protective Eyewear 

- Many sports-related eye injuries result in permanent vision loss.
- Protective eyewear will keep you in the game rather than on the bench with an eye injury.

## Keeping Eyes Safe

- Talk to your eye care provider about the appropriate type of protective eyewear for your sport.
- Have an eye exam.

## Resources

- Kids’ Website: http://isee.nei.nih.gov
- Webpage for Parents, Coaches, and Teachers: _www.nei.nih.gov/sports_
- Educational Resources and Materials: www.healthyvision2010.org/hvm/tools.asp

## For More Information

- Visit the Organizational Resources section on the Healthy Vision 2010 Website for additional materials and programs.
- www.healthyvision2010.org/safety/eyewear.asp#orgs
# Presentation: 473932

## Surface Tension Rockets

- Harvard MRSEC, DMR-0243715

- At the human scale, surface tension is a force of little relevance compared to the force of gravity. However, at submillimeter scales, surface tension is a force to reckon with. Some organisms have found ways to use surface tension to achieve unexpected results. Basidiomycetes fungi, which include most edible mushrooms, use surface tension as an energy source to propel their spores into the air. The active process begins with the condensation of a water droplet at the base of the spore. The fusion of the droplet onto the spore creates a momentum that propels the spore forward (*top*). Movie: _[http://www.mrsec.harvard.edu/200x64.avi](http://www.mrsec.harvard.edu/200x64.avi)_. A high-speed camera is used to make direct observations of the kinematics of the spore discharge in the fungus *Auricularia auricula*. This provided the input for the first detailed analysis of this unique discharge mechanism. This knowledge is being used to develop miniature rockets that are propelled over short distances solely by releasing surface tension energy (bottom).
# Presentation: 687373

## Global IOOS Milestone:  New Platforms in Service

-      FY2006 Target: 761 new ocean observing platforms deployed and reporting;
-      Dec 2005: 319 total ocean observing platforms (target 191)); 199 ARGO floats

- Dec. 05

- G

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

**Reduce the error in global measurement of Sea **

**surface Temperature**

-      FY06 target: 0.5 °C;     Long-term Target: Error of 0.2 °C by 2009.

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

- _Satellite bias error_: the systematic difference between satellite-derived vs. *in situ *actual measurement of sea surface temperature

- Dec. 05

- G
# Presentation: 110151

## The UNIX Benchmark Process

**Principal Center For Workgroup Hardware and Software**

- May** 2001**

## Background

**UNIX benchmark process has deteriorated since it was first established**
**Experience dictated that modifications needed to be made and the process more closely monitored.**
**Alterion and NASA have worked closely to develop a new process which alleviates all currently identified problems.**
**Others will probably be found... **

## Existing Benchmark Process Had Significant Problems

**Rankings included “server” class machines not appropriate for use as NASA desktop systems**
**Spec “rate” benchmarks were used to develop UNIX ratings**
**Weighted high volume systems (lots of RAM, lots of processors) higher than typical desktop platforms**
**Introduction of Spec2000 resulted in existing architectures being excluded from listings**

## Current Process Introduces Solutions 

**Server class systems have been eliminated from the listings by developing *****Criteria For A Desktop System***** **
**Spec *****baseline performance***** benchmarks will be used instead of *****rate***** benchmarks to more closely approximate NASA’s UNIX desktop usage.**
**Alterion will use Spec2000 numbers exclusively.   **
**NASA has joined Spec and will conduct certified benchmark testing on key desktop configurations**
**Results will be submitted directly to Spec**

## Criteria For A “Desktop” System 

**Standard Office Power (110V), not 220V**
**No Special Environmental Accommodations**
**Not Excessively Loud or Hot**
**Not Excessively Heavy**
**Supports Common Input Devices (keyboard, mouse, dials, tablet, etc.)**
**Supports Attachment of a Monitor**
**Supports 24-bit color graphics and 3D acceleration**

## Features of The New Benchmark Process  

**ODIN Program Office and Delivery Order Managers involved**
**NASA PC/WHS helps complete available Spec performance ratings**
**ODIN Vendors and UNIX hardware manufactures will be engaged**
**Alterion will provide benchmark weightings and publish rankings bi-annually, rather than quarterly**
**Alterion will certify ODIN proposed Attachment R UNIX offerings**
**NASA will sponsor forums for process improvement**

## Available Documentation  

**A detailed discussion of the problems with the previous benchmark process and proposed (now accepted) solutions.**
**The documented process for coordinating the efforts of the ODIN delivery order vendors, the PC/WHS Spec Testing Lab, the ODIN Program Office and DOCOTR’s and Alterion. **
# Presentation: 697236

## Methadone-Related Adverse Events in Texas 

- Jane C. Maxwell, Ph.D.
- Center for Excellence in Drug Epidemiology
- Gulf Coast Addiction Technology Transfer Center
- The University of Texas at Austin

## Data Sources

**Texas Department of State Health Services: BHIPS Treatment Data and Vital Statistics Records**
**Texas Poison Control Network**
**DEA’s National Forensic Laboratory Information System (NFLIS)**
**DEA’s Automation of Reports and Consolidated Orders System (ARCOS)**** **

## Caveats

**Need to use multiple data sources to begin to understand the problem. **
**In Texas, justices of the peace with no medical training can sign death certificates (254 counties X 4 JPs)**
**Medical examiners in same office differ in terminologies used.**
**What are the limitations inherent in classifying methadone deaths using ICDA?**

## Methadone Indicators in Texas: 1998-2006

## Percent of Texas Treatment Admissions by Primary Substance: 1992-2006

- Source: DSHS

## ARCOS Methadone Grams Distributed in Texas by Type: 2000-2006

- Source: DEA

## Texas Deaths with a Mention of Methadone: 2000-2005

## Human Exposure Calls to Texas Poison Control Centers Involving Methadone by Formulation: 1998-2006

## Intentional Human Exposure Calls to Texas Poison Control Centers Involving Methadone by Formulation: 1998-2006

## Suicide Human Exposure Calls to Texas Poison Control Centers Involving Methadone by Formulation: 1998-2006

## Unintentional Human Exposure Calls to Texas Poison Control Centers Involving Methadone by Formulation: 1998-2006

## Forms of Methadone Identified by Toxicology Laboratories (NFLIS) Nationwide: 2000-2006

- Source: NFLIS
# Presentation: 936560

## Update onProject Management Activities

- Bill Boroski
- CD Department Heads Meeting
- April 25, 2007

## CD Projects Web Page

- Responsibility for maintaining project web page, “project info” database, scheduling status meetings, etc. is being transferred to the PM/QA department.
- One of our initial activities is to update “Project Information” web page
- _[http://wwwserver2.fnal.gov/cfdocs/project_services/index.cfm](http://wwwserver2.fnal.gov/cfdocs/project_services/index.cfm)_
- Slightly different view of activities
- Programs
- Directly support the experimental or scientific programs
- Mostly project-oriented, with some operational elements
- Services
- Deliver a functionality, assistance, or expertise to others
- Mostly operations-oriented, with some project elements
- Business Operations
- Provides the functionality and support necessary to manage the Division and its major facilities.
- Mostly operations-oriented, with some project elements

## Need your help!

- Would like your help in updating the project info database
- Most information is from FY04/05
- Data entry is rather straightforward
- Online entry form accessible from “_[Projects](http://wwwserver2.fnal.gov/cfdocs/project_services/index.cfm)__” page_
- Use your effort-reporting user name and password
- Feedback on the forms, fields, etc. is welcome
- Old information is available for reference
- Link to past records exists near the top of the  “Projects” page

## Suggested update timeline...

- Would like to have updates completed by next Friday, May, 4.
- Should really only take 10-15 minutes.
- Please contact Rob Kennedy for assistance
- _[kennedy@fnal.gov](mailto:kennedy@fnal.gov)_
- x8880
# Presentation: 665960

## The Miami Valley Region

## Regional Demographics

- Miami Valley Regional Planning Commission (MVRPC)
- MPO for a three-county area
- Wright-Patterson Air Force Base is the largest employer
- GM/Delphi is the second largest employer
- Several regional hospitals and major universities.

**Notes:**
MPO for 3 county – 1 million people.  WPAFB.  GM/Delphi.  Regional hospitals and major universities.  Fairly blue collar region.  Traditionally manufacturing region.

## Program Background

- Air Quality Awareness Program began in 1994 under the name “Regional Ozone Action Program” featured the SMOGinator as mascot.
- Received the State of Ohio “Governor’s Award for Outstanding Efforts in Pollution Prevention, Awareness & Outreach” in 1997.
- Chosen by FHWA/USEPA in 1999 to be one of the 12 demo cities for “It All Adds Up to Cleaner Air.”
- Implemented a gas cap testing program with $25,000 IAAU seed money.

- Used IAAU stock ads in conjunction with locally-produced ads about Gas Cap Testing Program.
- Initial market research recall rates were low for IAAU _broadcast ads_.  Gas Cap Testing Program ads fared better.
- IAAU _newspaper ads_ and Gas Cap Testing Program ads both had high recall rate.

- In 2004, merged Rideshare, Air Quality Awareness Program and all Alternative Transportation (biking, pedestrian, transit) efforts under an “umbrella” program called **Sustainable Growth Initiative**.
- Gas Cap Testing Program was discontinued due to end of E-check.

- Air quality ads began focusing on program specific “actions” that we tout.
- Changed from Ozone Action Days to Air Pollution Advisories
- Caught Ya Doin’ Good Campaign
- Phone-A-Thon
- Web site promotions

- Received notice that FHWA wasn’t going to produce second generation of IAAU materials
- In spring 2007, decided to develop TV/radio and billboard ads that “mirror” the IAAU newspaper ads which had high recall rate

## It All Adds Up – Phase II

- Focused on three (3) main themes –
-  Vehicle maintenance (regular oil changes / proper tire pressure)
-  Alternative transportation (carpooling / biking)
-  Proper vehicle use (trip chaining and developed new spot regarding anti-idling)

## It All Adds Up – Phase II (cont.)

- Patterned the ads after the look/feel/tone of the original IAAU ads
- Used same voice-over for radio spots
- Ran newspaper ads and billboards during same period

## Billboards – Regular oil changes

## Billboards – Properly inflated tires

## Billboard - Carpooling

## Billboard – Trip chaining

## Billboard – Anti-idling

## Newspaper – Anti-idling

## Television / Radio – 30 second spots

- Spent approximately $9,000 on TV and radio spot production
- All TV/radio stations honored a buy one-get one free agreement

## Contact Information - 

- Laura A. Loges
- Director of Marketing & Public Affairs
- Miami Valley Regional Planning Commission
- One S. Main Street
- One Dayton Centre – Suite 260
- Dayton, OH  45402
- (937) 223-6323 – phone
- _[lloges@mvrpc.org](mailto:lloges@mvrpc.org)__	__	__	_
# Presentation: 458160

## Lancaster Computing Facility

- Status
- Vendor for Facility Chosen: _**Workstations UK**_
- Purchase Contract in Preparation
- Delivery date: End of November (fixed by UK funding bodies).
- System Manager Hired
- Run Greg’s tarred package on proposed system.

- Iain A Bertram - Lancaster University

- 11 October 2000

## Proposed Systems

- Workstations UK: Meets requirements and uses Mammoth II
_**2 Controller Nodes**_:     2 PIII 800 MHz CPU's                                     512 MB RAM                                      60 GB Hard Disk                                     Gigabit Ethernet
_**180 Worker CPU's:**_     700 MHz PIII CPU                                     512 MB Memory per Motherboard                                     15 GB Disk per motherboard                                     Ethernet Connections_**Disk Storage:**_               Bulkserver (used at CERN)                                      2 x 500 MHZ PIII CPU's                                      2 x 12 x 45 GB  Hard Drive (1080 GB)                                      Gigabit Ethernet.
_**Tape Storage:**_              AML/J Tape Library                                      4 Mammoth II Tape Drives                                      588 Media Slots (~30 TB)                                      167 Media Cartridges (~10 TB)                                      Fibre Connection to Disk
_**Support:**_                        3 year  On-site maintenance

- Iain A Bertram - Lancaster University

- 11 October 2000

- Worker

- Worker

- 196 Worker CPUs

- Switch

- Controller Node

- Switch

- 500 GB Bulkserver

- Tape Library
- Capacity ~ 30 TB
- k£11/30 TB

- Worker

- Controller Node

- 500 GB Bulkserver

- Iain A Bertram - Lancaster University

- 11 October 2000
# Presentation: 090134

## DrosophilancRNA prediction

- Ian Holmes
- UC Berkeley

## Noncoding RNA

- ● RFAM annotations in *D.mel*: tRNA, rRNA, U*, 	snoRNAs, miRNAs, SRP, regulatory, ... ?
- ● Not (yet) in RFAM: *bithoraxoid*, *hsr*-omega, 	*roX1/roX2*
- ● Comparative methods: BLAST, QRNA, 	StemLoc, CARNAC, DynAlign, PFOLD
- 	● **Novel evolutionary methods**

## Stochastic grammars

- Searls, Nature 2002

## What we expect to find

- 7-fly alignment
- MAVID+PFOLD
- Sens./spec. 25%/1%
- (v.crude/quick study, can probably boost sensitivity)
# Presentation: 349003

##        Variability

**       ****Variability**
**ENSO:  Mdl  <  Obs**
**NEUT:  Mdl  >  Obs**

**Obs**

**Mdl**

**ENSO**

**NEUT**

**  ****El**
**Nino**

**  ****La**
**Nina**

**Neut**

**Potential Predictability**

## Raw forecast skill

**Raw forecast skill**

**Conventional bias corrected**

**Regime dependent bias corrected**

## Climate Variability and Potential Predictabilityin CFS

- Wilbur Y. Chen
- Climate Prediction Center
- NCEP/NWS/NOAA

## Clim

**Clim**

**  ****Total**
**Variance**

**Diff**

**MDL**

**OBS**

## More brown than blue

## DML

**DML**

**OBS**

**DIFF**

**ENSO**
**DJFs**

**NEUT**
**DJFs**

**   ****More**
**Positive**

-    **More **
**Negative**

**have**

**have**

## MDL

**MDL**

**OBS**

**Ratio**

**ENSO**
**DJFs**

**NEUT**
**DJFs**

**More**
**>> 1.**

**Less**
** ****> 1.**

##   MDL 

- A

- B

- A

- B

**  ****MDL **
**VAR of**
**     ****ENS **
**   ****Means**
-     **Versus**
**     ****ENS**
**  ****Spreads**

##               Mdl

**   ****ENS**
** ****Means**

**   ****ENS**
**Spreads**

**Neutral**
** **

**ENSO **
** **

**Diff**

-               **Mdl**
**  ****Behavior:**
**   ****clim noise**
**          ****is**
**     ****smaller**
**when there is **
**       ****ENSO**
**      ****forcing**

**larger**

**smaller**

## Mdl VAR Ratio  =  Neutral / ENSO

**Mdl**** VAR ****Ratio****  =  Neutral / ENSO**

**More **
** ****<  1.**

**More **
** ****>  1.**

**Neut**

**ENSO**

**Ens ****mean**

**Ens ****spread**

**Ratio**

## Warm

**Warm**
**DJFs**

**Cold**** **
**DJFs**

**DIFF**

**  ****Clim**
**Signal**

**  ****Clim**
** ****Noise**

**More**
**Posit**

**More**
**Negat**

**smaller**

**larger**

**larger**

**smaller**

## Potential Predictability

**Potential Predictability**

**     ****VAR of Clim Signal**
**------------------------------------**
**Total VAR (Signal+Noise)**

**El Nino**
**  ****DJFs**

**La Nina**
**  ****DJFs**

**ENSO**

**Total**

**Neut**

## El Nino

**El Nino**
**  ****DJFs**

**La Nina**
**  ****DJFs**

##     for

**    ****for**
**  ****ENSO**
**  ****DJFs**

**    ****for**
** ****Neutral**
**  ****DJFs**

**Potential Predictability**

## Potential Pred:  Warm  vs  Cold

**Potential Pred:  Warm  vs  Cold**
# Presentation: 373531

## U.S. Drought Monitor Forum	October 20-21, 2005

***U.S. Drought Monitor Forum******	******October 20-21, 2005***

***U.S. Drought Monitor Forum******	******October 20-21, 2005***

## Slide 2

## Slide 3

## Slide 4

## Slide 5

## Slide 6

## Slide 7

## Slide 8

## Slide 9

## Slide 10

## Slide 11

## Slide 12

## Slide 13

## Slide 14

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## Slide 21

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## Slide 24

## Slide 25

## Slide 26

## Slide 27

## Slide 28

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## Slide 44

## Slide 45
# Presentation: 679570

## Medical Care Enacted AppropriationsIncludes Collections

**Appropriations  ($B)**

**+6.8%**

**+3.2%**

**+2.4%**

**+2.8%**

**+4.2%**

**+0.7%**

**+9.2%**

**+7.8%**

**+6.9%**

**   ****+13.0%**

**     **

**   ****+10.9%**

- Percent change from prior year enacted levels.  Starting in 1998, collections are available for VA

## Health Care Workload

**Projected**

**Projected**

## Medical Care RequestChange Over Prior Year

**Requested  ($B)**

**+7.1%**

**+3.3%**

**+4.7%**

**+2.5%**

**+3.2% 1/**

**+0.9%**

**+7.0%**

**+4.6%**

**+8.2%**

**   ****+7.3%**

**     **

**   ****+3.4%**

**-0.2%**

- 1/ Starting in 1998, open enrollment began and collections were made available to VA

## VHA Major Projects RequestChange Over Prior Year

**Requested  ($B)**

**-0.53%**

**-11.5%**

**+37.3%**

**+69.6%**

**-76.1%**

**-66.09%**

**-28.6%**

**+603.0%**

**+20.9%**

**   ****+402.6%**

**     **

**   ****+87.3%**

**-40.8%**

- FY 94   FY 95   FY 96   FY 97   FY 98  FY 99   FY 00   FY 01  FY 02    FY 03   FY 04   FY 05

## Status of Disability Claims Inventory

## 		Medical Care                Collection Fund

**Collections ($M)**

**+5.3%**

**-3.1%**

**-6.9%**

**+6.9%**

**+2.4%**

**-0.1%**

**+34.5%**

**+52.6%**

**+26.3%**

**+14.6%**

**With Policies**
**+38.8%**
# Presentation: 475687

## VA HRPP Accreditation Experience

**Marisue Cody, PhD, RN**
**Director, Center On Advice & Compliance Help (COACH)**
**Office of Research & Development**
**Department of Veterans Affairs**
**October 16, 2005**

## The VA has climbed the summit of accreditation over the past 5 years.

## Research AOs have been helping to find the trails and footholds along the way.

## A new VA accreditation contract will begin December 2005.

## PRIDE will provide information and guidance to assist all VA HRPPs to become accredited.

## You are going to have to prepare for the next climb.

## Stay fit.

**Stay fit.**

## Status of NCQA Visits

- Total surveyed: 74

## Policies and procedures are in place.

## Quality improvement processes have been started.

## Assess your HRPP systems.

## What are you already doing well?

## Where could you make improvements?

## What are the results of your quality improvement activities?

## Leadership and guidance

## Choose your team leader.

## Obtain training as it becomes available.

## Seek expert guidance.

## Will we get all VAs accredited by the end of 2006?

## There will be a time of transition with a new contract.

## Preparation is going to be the key to success.

## PRIDE will be available to help you meet these challenges.

## VA will lead the country in having all its HRP Programs accredited.
# Presentation: 170033

## NARA RM Initiatives Relating to Websites/Web Pages & Digital Web Content

**Nancy Allard, Senior Policy Analyst**
**Mark Giguere, Lead IT (Policy & Planning)**
**Web Content Mgr’s ****	****	****Washington, DC**
**Seminar – 2D****	**** ****	**

## Overview

- Context – NARA’s *Managing Web Records* Guidance
- Central tenets of guidance
- Scheduling issues
- NARA transfer guidance for permanent web content

## 1.  NARA RM Guidance

- Issued January 21, 2005 (See: _[http://www.archives.gov/records_management/policy_and_guidance/managing_web_records_index.html](http://www.archives.gov/records_management/policy_and_guidance/managing_web_records_index.html)_)
- Central high level ‘framework’ document
- Subsequent guidance in specific areas
- Provides rationale for RM decisions surrounding web site content and operations records

## Central Tenets of Guidance (1 of 3)

- Records management is both part of and supports many of the activities necessary to mount a Web presence
- RM is part of/supports web site security via support of maintaining trustworthiness of web site records
- RM is part of/supports evaluating & monitoring risk associated with Agency web site operations

## Central Tenets of Guidance (2 of 3)

- Re. Issue of record status of web site-related records
- NARA views web site content as records Federal records per *44 U.S.C. 3301*
- NARA views web site program administration records as Federal records per *44 U.S.C. 3301*
- _Both_ need NARA-approved disposition authorities

## Central Tenets of Guidance (3 of 3)

- Re. Basis for making RM decisions to support management control of web site
- RM decisions based on risk assessment of agency web site operations
- Determination of ‘unit of analysis’ for risk assessment
- Web site in toto and manage all to highest level of risk
- Web site compartmentalized according to unique ‘areas’ of differing risk** **

## Scheduling Issues

- Records _*must*_ have disposition authority
- Web site copy of content
- Web site program operations records
- NARA does not presume all web sites will be appraised as permanent

## 2.  ERM EGov Transfer Cycle #6

- April 17 – Sept. 17, ’04
- Goal
- Specify _transfer_ requirements for web sites appraised as permanent
- See _[http://www.archives.gov/records_management/initiatives/erm_products.html](http://www.archives.gov/records_management/initiatives/erm_products.html)_

## Thank You!

***Questions?***
- Nancy Allard
- V:  (301) 837-1477
- _[nancy.allard@nara.gov](mailto:nancy.allard@nara.gov)_
- _OR_
- Mark Giguere
- V:  (301) 837-1744
- _mark.giguere@nara.gov_
**(Also your NWML Appraisal Archivist)**
# Presentation: 185674

## EpicsOra

- building Epics-db-files from an Oracle Database

- Programmed by
- Anatoli Khvorostianov

- EPICS rdb Workshop 2005 March 9-11

## Basic Idea

- Use database instead of flat filesmake it master of all info
- Import dbd-files (define EPICS-version)
- Export db-files to be loaded to IOCs
- Modify here / re-import modified db-files
- Define “objects”
- Structure: group of records
- Structure: can be nested (complex objects)
- Parameters
- Inheritance

- EPICS rdb Workshop 2005 March 9-11

## Further ideas

- Link different fields of interest
- Epics
- Hardware devices (also asset management)
- “registry” for graphics, alarming
- etc.
- Use “io_name” as link
- Name of sensor/actor in drawings
- Name of sensor/actor in graphics
- Associated to cable/wires in cabling
- ...

- EPICS rdb Workshop 2005 March 9-11

## EPICS and rdb at DESY

- EPICS rdb Workshop 2005 March 9-11

## dbd files → epicsOra → db file

- EPICS rdb Workshop 2005 March 9-11

## Prototypes:inheritance for record-fields

- EPICS rdb Workshop 2005 March 9-11

## Record Fields

- Can be modified at all levels
- Inherit values from higher level
- Can use parameters in prototypese.g. $(desc), $(egu)
- Can use functions in prototypese.g. $CONT(record.field), $LINK(record), $ROUND(0.9*$(eguhi)),$IONAME(io_name)

- EPICS rdb Workshop 2005 March 9-11

## Link to hardware

- Fields: INP, OUT,...
**Development**
- Assign address string at instance level
- Calculate address string from variables
- Take address string from special table
- Calculate address string and DTYP from device- /asset-tables

- EPICS rdb Workshop 2005 March 9-11

## Structure

- Re-usable
- Nested
- Link records
- Inherit field values
- Name rules
- Copy structure
- New object
- New epics version

- EPICS rdb Workshop 2005 March 9-11

## Hierarchy in EpicsOra

| dbd |  |  |  |  |
| --- | --- | --- | --- | --- |
| Base prototypes | add structure | Fields inherit values
 | Define parameters |  |
| Composite prototypes |  |  |  | Assign values |
| Composite Instances |  |  |  |  |
| Instances |  |  |  |  |
| db file |  |  |  |  |

- EPICS rdb Workshop 2005 March 9-11

## Inside EpicsOra(Oracle AS 10g, Forms 9)

- Navigator

- Object
- properties

- record
- fields

- EPICS rdb Workshop 2005 March 9-11

## Inside EpicsOra:project

- EPICS rdb Workshop 2005 March 9-11

## Inside EpicsOrabase prototype

- EPICS rdb Workshop 2005 March 9-11

## Inside EpicsOrarecord of base prototype

- EPICS rdb Workshop 2005 March 9-11

## Inside EpicsOracomposite prototype

- EPICS rdb Workshop 2005 March 9-11

## Inside EpicsOrarecord in composite prototype

- EPICS rdb Workshop 2005 March 9-11

## Inside EpicsOrainstance of composite prototype

- EPICS rdb Workshop 2005 March 9-11

## Inside EpicsOrainstance of base prototype

- EPICS rdb Workshop 2005 March 9-11

## Inside EpicsOrainstance of record

- EPICS rdb Workshop 2005 March 9-11
# Presentation: 183525

## Towards Control of Real Thermal Systems

- Rob Dimeo
- IDL/DAVE Lunchtime Seminar
- October 14, 2004

## “Most PowerPoint users are drawn to it because they are stupid.”		-Edward Tufte(Yale professor emeritus of political science, computer science, and statistics and author of The Visual Display of Quantitative Information)

- “Many a small thing has been made large by the right kind of advertising.”		-Mark Twain (from *A Connecticut Yankee in King Arthur’s Court*)

## Complexity of Thermal Systems

- Infinite dimensional: continuous system is governed by system of PDEs
- Sensor and heater not likely to be co-located (often impossible) resulting in a stimulus-response lag
- System response can be non-linear
- Nevertheless a first-order linear model can be used to design a temperature control system

## First-Order System Response

- Thermal systems can be roughly modeled as 1st order linear systems
- 1st order linear systems have a time constant, displaying an exponential impulse response

## First-Order System Response

- Step increase displays an exponential approach to a constant value

## First-Order System Response

- Rectangle response has rising exponential + decaying exponential

## Tuning PID Control Parameters Requires Knowledge of System Time Constants

- _Problem:_
- 	How can we determine the time constant(s) for the NIST CCRs?
- _Theoretical Answer:_
- 	Measure the response to step changes over a broad range of temperatures and automatically fit to the appropriate simplified theoretical response function.

## Problem with the First-Order Model

- Time “constant” is _not_ constant but depends on the temperature
- To first order the time constant is proportional to the heat capacity: =RC where R is the thermal resistance and C is the heat capacity.
- Must measure the time constant over a broad range of temperatures to get the temperature dependence of (T).

## Aside

- If real thermal systems were truly first-order then you would be able to control them very well by simply cranking up the gain!

- y’+(1/)y=u; u=Pe; e=r-y
- y’=-(P+1/)y+Pr
- y(t) = r/(1+1/(P)) r (for large P)

## Extracting the System Time Constants

- _Practical Solution:_
- Create a simple application that
- provides auto-fit capabilities,
- is smart enough to determine whether to fit a rising exponential or a decaying exponential,
- allows intervention by the user to select limited fit ranges where necessary,
- reliably extracts the time constants, and
- can run on the user’s computer without the need to purchase any software

## Extracting the System Time Constants

- _Implementation:_
- 	Application written in IDL and deployed on the Sample Environment Team’s computers with the IDL Virtual Machine (free-no license necessary)