BEE-spoke-data/govdocs1-by-extension huggingface dataset:
# Presentation: 675984

## Federal Facility Restoration and Reuse Office Program Facts

**The Federal Facility Restoration and Reuse Office (FFRRO) Mission**
- FFRRO's mission is to facilitate faster, more effective, and less costly cleanup and reuse of Federal Facilities.

**Federal Facility Restoration and Reuse Office Program Facts**
***Federal Environmental Cleanups that Put Citizens First***

**National Priorities List (NPL) Information Summary**

***177 Federal Facility NPL Sites ****
***(Status of Last Phase of Work)***

***Status of NPL ***
***Federal Facilities***

_**Notes:**_**  ****	****All data from 10/11/2002 CERCLIS 3 except where noted.  **
**	****NPL and Non-NPL Cleanup data includes both Superfund and RCRA activity at Superfund Federal Facility sites.  **

**145**

**21**

**11**

***NPL Federal Facility Sites ***
***by Agency***

**119**

**8**

**13**

**13**

**24**

** Includes sites Proposed to the NPL, Final, and Deleted from the NPL*

**RCRA Information**

***EI Status for Federal Facilities on the RCRA Cleanup Baseline***
***Total Sites: 157***
*Source: RCRIS 10/31/2002*

**Cleanup Activity at Non-NPL Sites**

***1,825 Federal Facility Non-NPL Sites***

- Other Federal Agencies include:
- COE, EPA, DOI, DOT, FAA, NASA, Natl Guard, SBA, USDA

**11**

**52**

**64**

**22**

**77**

**757**

**969**

**30**

## Federal Facility Restoration and Reuse Office Program Facts

**Federal Facility Restoration and Reuse Office Program Facts**
***Federal Environmental Cleanups that Put Citizens First***

**Community Involvement**

***Technical Assistance Grants (TAGs) and ***
***Restoration Advisory Boards (RABs)/***
***Site-Specific Advisory Board******s ******(SSABs) ***

**Number of Active **
**TAGs and RABs/SSABs**

_**Notes:**_** ****	****All data from 10/11/2002 CERCLIS 3 except where noted.  **
**	****NPL and Non-NPL Cleanup data includes both Superfund and RCRA activity at Superfund Federal Facility sites.  **

***Time and Cost Avoidance Attributed to EPA Participation ***
***in the Fast Track Cleanup Program (Cumulative Savings)***
***Source:  FFRRO***

*$150 million*
- 150 project years

*$210 million*
- 209 project years

*$250 million*
- 252 project years

*$277 million*
- 296 project years

*$337 million*
- 348 project years

**Base Realignment and Closure (BRAC)**

***BRAC Site Parcels where ***
***Finding of Suitability to Transfer/Lease is Completed***
**Cumulative Acreage (in Thousands)**

*Number of Acres*

***Status of the 107 BRAC Fast Track Sites***
***(35 NPL & 72 Non-NPL)***

**19**

**59**

**20**

**5**

*$344 million*
- 403 project years

**(Total: 119)**

**4**

*$356 million*
- 443 project years
# Presentation: 265053

## Neighborhood Effects and Trial on the Internet:  Evidence from Grocery Retailing by David Bell and Sanyoung Song

- Catherine Tucker
- MIT Sloan

## What they do?

- Question: If one person tries an online grocer, does this make their neighbors more likely to try it?
- Find positive neighborhood effect

## What I liked?

- Great Question: Does neighborhood still have a role in our brave new internet world?
- Unique data
- Sophisticated discretization of hazard model
- AND IN PRINT!

## Next Paper (1): Teasing out the mechanism of social influence

- Interesting result that neighborhood effects are important for trial but not repeat purchase
- This suggests that social mechanism is about transferring information about quality or availability
- It would be nice to distinguish because then we know whether neighborhood affects awareness or trial

## Next Paper (1): Teasing out the mechanism of social influence

- Van den Bulte/Lilien  (2007) two-step models
- Whether there are exogenous differences in publicity across regions that make affect awareness
- Perhaps whether people abandon shopping carts or not, or whether they never get to the shopping cart stage

## Next Paper (2): Causal Effect

- Have to believe in helicopter drop of initial user
- It would be nice to have something as well as lags
- Perhaps beta testing phases

## Next Paper (3): Negative and Positive neighborhood effects

- Taste for uniqueness vs. contagion
- Jonah Berger
- Dan Ariely
- Pick a product where this might matter
- Fashion good?

## Summary

- Enjoyed the paper
- And it is in Print!
- Made 3 suggestions for next paper
- Social Influence Mechanism
- Alternative ways of establishing causality
- Teasing apart competing social effects
# Presentation: 734892

## Findings from theDrug Abuse Warning Network

**Immediate and Sustained Release Opioid Analgesics**

- Judy K. Ball, Ph.D., M.P.A.
- Office of Applied Studies, Substance Abuse and Mental Health Services Administration
- 9 September 2003

## Emergency Departments

- Stratified probability sample
- Short-term, general, non-Federal hospitals operating 24-hour emergency departments
- Representative estimates for coterminous U.S.
- 437 hospitals (80%) participated in 2002

## DAWN Cases

- Age 6-97 treated in ED
- ED visit related to drug abuse
- Abuse defined by patient’s motive for drug use
- Dependence
- Psychic effects
- Suicide attempt/gesture

## Drug Detail in DAWN

- Illicit, prescription, OTC drugs
- Specificity depends on medical record
- Brand (trade) names – MSContin
- Chemical names – morphine sulfate
- Generic names – morphine
- Classes – opiates
- Street names
- Multiple drugs per visit – drug “mentions”

## Mentions of Selected Drugs inED Visits Related to Drug Abuse

- Source:  Drug Abuse Warning Network

## ED Mentions of Opiates/Opioids, 2002

**Fentanyl  1,506**

**Morphine  2,775**

**Unnamed**

**Hydrocodone**

**All others**

**Oxycodone**

- Source:  Drug Abuse Warning Network

## Narcotic Analgesics, by Type

|  | Type |  |  |
| --- | --- | --- | --- |
| Drug | IR | SR | Unspecified |
| Unnamed |  |  |  |
| Hydrocodone |  |  |  |
| Hydromorphone |  |  |  |
| Fentanyl |  |  |  |
| Morphine |  |  |  |
| Oxycodone |  |  |  |

## Unnamed Opiates, ED Mentions

- Source:  Drug Abuse Warning Network

## Hydrocodone, ED Mentions

- Source:  Drug Abuse Warning Network

## Hydromorphone, ED Mentions

- Source:  Drug Abuse Warning Network

## Fentanyl, ED Mentions

- Source:  Drug Abuse Warning Network

## Morphine, ED Mentions

- Source:  Drug Abuse Warning Network

## Oxycodone, ED Mentions

- Source:  Drug Abuse Warning Network

## Oxycodone, ED Mentions

- Source:  Drug Abuse Warning Network

## Oxycodone, ED Mentions

- Source:  Drug Abuse Warning Network

## Oxycodone, ED Mentions

- Source:  Drug Abuse Warning Network

## Oxycodone ED Mentions, 1997-2002

## Drugs in Combination, 2002

|  |  | Fentanyl | Hydrocodone | Morphine | Oxycodone |
| --- | --- | --- | --- | --- | --- |
| Total visits |  | 1,506 | 25,109 | 2,775 | 20,748 |
| Other drugs in visit: |  |  |  |  |  |
| Multiple drugs |  | 43% | 78% | 66% | 71% |
| Major substance of abuse |  | 16% | 43% | 38% | 44% |
| Benzodiazepine |  | 21% | 26% | 13% | 21% |
| Other narcotic |  | 17% | 14% | 27% | 18% |

- Source:  Drug Abuse Warning Network

## Limitations of DAWN

- Reportable cases of drug abuse, based on patient’s _intent_
- Variable reporting of nonspecific terms
- Cannot distinguish diversion vs. abuse with legitimate prescriptions
- No information on health
# Presentation: 016095

## Enhanced SCIT

- Briefing for the TAC
- Arthur Witt, NSSL

## Current WSR-88D SCIT

**Identifies 3D “storms” by vertically-associating 2D “components” at adjacent elevation angles based on spatial proximity**
**Merges 3D storms if there is no vertical overlap and the vertical gap is < 4 km**

## Current WSR-88D SCIT

**Is good at identifying individual cells**
**For multicell storms, including supercells, there are often multiple 3D detections**
**In larger storms, the main core is often “fragmented” into 2 or more 3D detections**

## Example of storm “fragmentation”

## Poor trends due to storm “fragmentation”

## KTLX 3 May 1999 - Storm A

## KTLX 3 May 1999 - Storm A

## KTLX 3 May 1999 - Storm A

- Elev	3D #1		3D #2		Common
- 0.5	55
- 1.5	55
- 2.4	50
- 3.3	50		45		40
- 4.3	50		50		45
- 5.3	50		50		45
- 6.2	50		50		45
- 7.5			50
- 8.7			55
- 10			50
- 12			50
- 14			45

## KIWA 14 Aug 1996 - Distinct cells

## KIWA 14 Aug 1996 - Distinct cells

- Elev	Cell #1	Cell #2	Common
- 0.5	50		50		35
- 1.5	45		45		35
- 2.4	40		40
- 3.3	40		40
- 4.3	30

## Enhanced SCIT

**Allows merging of 3D detections to occur without a vertical gap**
**Includes safeguards so that distinct cells in close proximity are not merged**

## New vertical-merge technique

**First, merge 3D detections that have a vertical gap**
**Then, attempt to merge 3D detections that overlap vertically**
**Determine the reflectivity level that 2D components at the same elevation angle have in common**

## New vertical-merge technique

**Calculate the difference between the common dBZ level and the stronger 2D component**
**If the reflectivity difference is ******** 10 dbZ for 40% or more of the overlapping elevation angles, then merge the 3D detections**
**New 3D detection retains the stronger of the two 2D components at the same elevation angle**

## Test cases

**Warm-season/supercell:****	****3 May 1999****	****	****KTLX **
**Squall-line: ****	****	****	****15 April 1994****	****KLSX**
**Southwest-monsoon:****	****	****14 August 1996****	****KIWA**
**Warm-season/MCS:****	****	****22 June 1996****	****KDTX**
**Hurricane Opal:****	****	****	****4 October 1995****	****KEVX**

## Vertical-association failures

- Case			Volumes	Baseline	New-merge
-                                  			(#, rate)		(#, rate)
- KTLX 5/3/99		76		20, 26%	8, 11%
- KIWA 8/15/96 		196		48, 24%	41, 21%
- KLSX 04/15/94		199		33, 17%	25, 13%
- KDTX 6/22/96		115		45, 39%	33, 29%
- KEVX 10/4/95		83		14, 17%	10, 12%
- Totals			669		160, 24%	117, 17%
- Average failure rate (per case)		    25%		    17%

## Tracking errors

- Case			# Storms,	Baseline	New-merge
- 			Volumes	(#, rate)		(#, rate)
- KTLX 5/3/99		4, 70		14, 20%	5, 7%
- KIWA 8/15/96		27, 158		28, 18%	16, 10%
- KLSX 4/15/94		30, 154		40, 26%	23, 15%
- KDTX 6/22/96		10, 105		21, 20%	8, 8%
- KEVX 10/4/95		13, 68		44, 65%	23, 34%
- Totals			84, 555		147, 26%	75, 14%
- Average error rate (per case)		    30%		   15%

## Slide 17

## Status of the enhanced SCIT

**Integrated into an off-line version of ORPG**
**Source code delivered to the ROC**
# Presentation: 322629

## Generalizability and Applicability of QI Research

-  David Atkins, MD, MPH
- Center for Outcomes and Evidence

## Generalizable Evidence

- “Where did the field get the idea that evidence of an interventions efficacy from carefully controlled trials could be generalized as THE best practice for widely varied populations and settings.”
- L.W. Green

## What Decision Makers Need to Know

- Can it work?
- Rigorous, internally valid studies
- Will it work?
- Studies applicable to my organization, clinical setting, and patient population
- Is it worth it?
- Reliable estimates of clinical benefits and costs of implementing, relative to local resource constraints
- Brian Haynes, BMJ

## Challenges for AHRQ

- How do we support research that is both rigorous and relevant?
- What is the role of different study designs in informing us about how to improve quality?
- How do we synthesize research findings while paying appropriate attention to issues that affect generalizability of our conclusions?
- Context, mediators and moderators, generalizability

## External validityDefinitions	

- Inferences about the extent to which a causal realtionship holds over variations in persons, settings, treatments and outcomes
- Shadish et al. 2002
- To what populations, treatment variables and measurement variables can this effect be generalized
- Campbell and Stanley, 1963

## Observations from Cases 

- Are effects of simulation intervention on knowledge/attitude outcomes generalizable to clinical outcomes?
- Would it work outside of Cincinnati  Children’s?
- Would EHR/HIE intervention from large group practices work in small solo practices?

## RE-AIMGlasgow et al., 2004

*Reach* -- % reached, representativeness
*Effectiveness* -- impact of intervention
*Adoption* -- Participation of clinicians/practices
*Implementation* -- Ability to deliver components of intervention, consistency
*Maintenance *- Sustainability

## How Much Do We Know?Statins vs. Team-Based Training

- Pathophysiology
- Basic epidemiology
- In different subgroups
- Validity of intermediate outcomes
- LDL vs. knowledge/attitudes
- Chemical structure of intervention/ receptor site in patient
- Effectiveness and value
- Size of effect on clinical outcomes
- Costs
# Presentation: 284668

## CLEC Access to Line Shared Data Subloop or Copper Subloop

- SONET & Common

- SONET & Common

- POTS

- _ADSL_

- ADSL

- ADSL

- SONET & Common

- Optical Concentration  Device

**POTS**

- Class 5 Local Digital Switch

- CLEC
- Virtual Collocation**  **(ASI)

_**ADSL**_

- SAI/SAC

- SAI/SAC

- POTS and Data

- POTS and Data

- CLEC Physical
-  Collocation

- CLEC ATM

- OC 3  Voice

- OC 3 Data

**LEC Remote Terminal Site**

**CLEC Remote Terminal**

- Telco Central Office

- COT

- CLEC Collocation

- ATM

- ATM

**3-5 SAIs / RT**

**200-600 Living Units / SAI**

**16-24 RTs / WC**

**Copper Feeder**

- Fiber Feeder

- 8db UNE Loop

- 8 dB UNE

- CLEC  Fac

- Telco  Fac/service

- OCD Port & UDT

- LEC or CLEC Copper

- Copper Subloop

- Feeder UNE

- Line Shard Subloop UNE

- 8 dB UNE

**Notes:**
Current Technology can accommodate 1-9 CLEC
If Data only, a splitter will be required at the SAI
No existing UNE being  removed with this project.
RT does not contain MDF functionality
An SAI may or may not be located at the RT site.
The 8dB UNE loop will still be available.  The loop will be designed using standard procedures and will be transported from the RT to COT over the OC3 Voice facility, demuxed in the COT and will be handed off at the point of termination frame(not shown on drawing)  in the CO.
WC
Tier 1 -  919
Tier 2 -  413
Total    1332
# Presentation: 510286

## Beam in Gap PDRFast Beam Loss Monitor DAQDave Gassner

## Calibration & Cleaning

- _Calibration_: using reduced intensity beam pulse.
- BIG Cleaner
- Extraction kicker
- _Clean Beam in Gap_
**BIG Cleaner**
- Beam lost in Ring Collimator
**Extraction Kicker rising edge **(typical extraction timing)
- Beam lost in:
- Ring collimator
- Ring components
- Extraction Lambertson
- RTBT Dump

- SNS BIG & FBLM

- July 25, 2002

## Calibration

_**Technique 1**_
- Inject 1 turn, 15mA = 1011 protons
- Fire extraction kicker during beam pulse, 200ns rise time
- 1-30ns, beam lost in collimator
- 30-80ns, beam progressively lost in ring
- 80-120ns, loss on Lambertson
- 120-200ns, loss RTBT collimator

- Kicker current
- 200ns rise to 95%

- 675ns beam

- Measure losses in ring (50ns), FBLM’s
- Assume equally distributed at 5 locations
-  1011(50/675)/5 = 1.5 x109 protons/location

- 15mA

_**Technique 2**_
- Inject 1 turn, 15mA = 1011 protons
- Execute resonant gap cleaning during the beam pulse
- Measure losses at the collimator

- SNS BIG & FBLM

- July 25, 2002

## Loss Pattern for Dirty Gap – Extraction Kicker

- As extraction kicker current increases:
-  Initially beam lost on collimator
-  Then on ring components
-  Lambertson
-  RTBT

- SNS BIG & FBLM

- July 25, 2002

## Ring Collimator Losses - What Can We See?

_**Controlled Loss Distribution**_
**SNS AP Tech note 7**

_**Assuming 0.1% beam in halo lost in ring collimator**_

_**Controlled loss**_** **
**0.19% of 2MW =  3.8kW at collimator.**
**500 R/hr at cable tray during normal operation.**
**2.16 x 10****5**** pulses/hr = 2.5mR/pulse**
** **_**FBLM signal during pulse**_
**During 1ms beam pulse 2.5R/sec**
**2.5R/sec X 100uC/Rad = 250uA**
_**Beam in Gap loss**_
**3.8kW/200W = 19 times less signal**
**Assume 1% of BIG loss in 10ns**
**(250uA/19)(.01)/(10X10****-6****) = 13.1mA**
**	****        **_**FBLM signal during gap**_
**into 50 Ohms = 65mV**

- SNS BIG & FBLM

- July 25, 2002

## BIG Kicked at Extraction

- Fire extraction kicker during the gap (1000 turns, typical extraction timing)
- Observe fast losses
- Ring collimators
- Ring components
- Extraction Lambertson
- RTBT Dump using FBLM’s.
- Compare measurements from cleaned and un-cleaned gap.

- Kicker current
- 200ns rise to 95%

- 275ns
- Gap

- 675ns beam

- 675ns beam

- SNS BIG & FBLM

- July 25, 2002

## Summary

_** **_

- HEBT laser BIG is gone, and with it our planned calibration!
- We can use linac BCM to get relative calibration of Ring FBLMs by :
- Extracting on 15mA bunch
- Gap cleaning on a 15mA bunch
- We can use this calibration to measure beam-in-gap by normal extraction on the un-cleaned gap
- We can hope to use this measurement to ‘calibrate’ the FBLM that looks at the collimator during gap cleaning
- We can estimate efficiency of gap cleaning by spray on (‘calibrated’ - see second bullet above) Ring FBLM’s when we extract with cleaned gap
-  Further simulation and analysis needed.

- SNS BIG & FBLM

- July 25, 2002
# Presentation: 313553

## Track matching

- Define a track match significance
- Global tracks
- CFT tracks
- SMT tracks
- Resolutions taken from data
- z/mm =    6.1 (Glob)		    7.4 (SMT)
-  /mrad = 6.9(Glob)  8.6 (CFT)  17 (SMT)
- E/p =       0.18 (Glob)  0.4 (CFT)

- R. Zitoun, Stony Brook and LAPP (http://www-d0.fnal.gov/~zitoun)

##  extrapolation

- Extrapolate with ET not pT

- R. Zitoun, Stony Brook and LAPP (http://www-d0.fnal.gov/~zitoun)

## Resolution, significance

- R. Zitoun, Stony Brook and LAPP (http://www-d0.fnal.gov/~zitoun)

## Efficiency, fake rate

- Where to cut in ?
- Efficiency ****?  Fake rate **f** from QCD?
- Robert’s method © using Z candidates:split them into 3 samples: 0, 1, 2 matched tracks

- R. Zitoun, Stony Brook and LAPP (http://www-d0.fnal.gov/~zitoun)

## Fitting method

- each sample is build up from Z events and Q background
- assume  and f independent on pT, thus on mass bin
- 3 measurements per mass bin (N0, N1, N2)
- 2 unknown per bin (Z, Q) +  and f
- Can do a fit

- N0 = Z  (1-)2    +  Q  (1-f)2
- N1 = Z  2 (1-) +  Q  2 f(1-f)
- N2 = Z  2          +  Q   f2

- R. Zitoun, Stony Brook and LAPP (http://www-d0.fnal.gov/~zitoun)

## Fit results

-  = 55%

- f =3.9%

- x10

-  = 5

- R. Zitoun, Stony Brook and LAPP (http://www-d0.fnal.gov/~zitoun)

## Fake from QCD events

- Require 1 em cluster and a jet opposite in  |acoplanarity|<0.2

- R. Zitoun, Stony Brook and LAPP (http://www-d0.fnal.gov/~zitoun)

## Efficiency and fake rate (2)

- Redo fits using f from QCD events
-    Efficiency = (55±7.5)%       Fake rate = 3.9%

- efficiency (from Z)
- efficiency (from QCD)

- fake (from Z)
- Fake (from QCD)

- R. Zitoun, Stony Brook and LAPP (http://www-d0.fnal.gov/~zitoun)

## Energy scale

**Energy scale**

- Get the Z event mass distribution from the fits

- Monte Carlo
- M = 91.0  0.1 GeV
- = 3.4  0.1 GeV

- Data
- M = 90.0  0.7 GeV
- = 4.5  0.5 GeV

- Energy scale factor correction = 1 + (1.0  0.8)%

- R. Zitoun, Stony Brook and LAPP (http://www-d0.fnal.gov/~zitoun)
# Presentation: 021596

## Transformational Space Launch and Operations Conference                            Washington, D.C. - May 24-26, 2004

**Conference Sponsor**

**Transformational Space Launch and Operations Conference                            Washington, D.C. - May 24-26, 2004**
**Conference Information at http://artwg.ksc.nasa.gov**

**Conference Registration**

**Hotel Reservations**

**Washington, D.C.  Area Information**

**Registration Fee $250 per person due by May 10, 2004**
- FAX, email or mail completed registration form along with payment (check, credit card, money order) to **ASRC Aerospace Conference Registration POC **by _May 10, 2004 to guarantee registration._
- If paying by check, make checks payable to: ASRC Aerospace

**Registration Forms** available at http://artwg.ksc.nasa.gov
**Conference Registration POC                **Tricia Gryn, Project Administrator II           Mail Stop: ASRC-17                              Kennedy Space Center, FL  32899              FAX: (321) 867-7076                              VOICE: (321)861-7469                            Email: tricia.gryn-1@ksc.nasa.gov

**Wardman Park Marriott Hotel  **2660 Woodley Rd., N.W.    Washington, DC  20008       (202) 328-2000                   Website: http://www.wardmanpark.com/

**Make reservations by May 3, 2004** directly with Marriott Reservations at 1-800-228-9290 or (202) 328-2000.
**Reference** Wardman Park Marriott, Washington, D.C, ARTWG/ASTWG Conference, May 24-26, 2004.
- Please make reservations early to ensure lowest conference rate, per diem at $150.
- Metro Monorail provides transportation between Reagan International Airport and Wardman Park Marriott

_**Metro Monorail Transit System**_: System Map & Fare Information  _[http://](http://www.wmata.com/metrorail/riding_metrorail.cfm)__[www.wmata.com/metrorail/riding_metrorail.cfm](http://www.wmata.com/metrorail/riding_metrorail.cfm)_
_**Chamber of Commerce, Tourism**_** **http://www.dcchamber.org/page.jsp?page=Visiting+Washington%2C+DC
_**Smithsonian new , Udvar Hazee National Aerospace  Museum**_
- http://www.nasm.si.edu/udvarhazy/

**Advanced Range Technologies**
** ****Working Group**

**Advanced Spaceport Technologies **
**Working Group**

**Future Interagency Range and Spaceport **
**Technology Program**
# Presentation: 850834

## NWS Internet Farm Technology

- Robert Bunge
- Internet Dissemination Officer
- Office of the Chief Information Officer
- 10/30/2008

## NWS Internet Farm Technology

- NWS operates six web farms
- Originally operated independently
- Consolidating to three farms operated as a single unit as time and resources allow
- Silver Spring, MD
- Kansas City, MO
- Ft Worth, TX

## NWS Internet Farm Technology

- Designed to provide 99.9% availability
- Most content mirrored between the farms
- Globally load balanced using DNS
- Each farm locally load balanced
- Two caches
- 10 web servers
- NFS servers
- Four database servers
- Data processing systems

## NWS Internet Farm Technology

- Back stopped by commercial content delivery network providers
- Two providers on contract
- Experience shows each provider serves specific content best, but both work
- Both have experienced outages
- Increases capacity by a factor of 4 to 50, depending on content type
- SOP is to serve from origin farms until demand approaches capacity

## NWS Internet Farm Technology

- Farms are LAMP environments
- Linux/Apache/Mysql/PHP
- Leverage commercial Mysql clustering technology
- Home grown Content Management System
- Use rsync to mirror content across NOAA WAN

## NWS Internet Farm Technology

- Some capacity numbers
- Generation of ~200k images per hour
- ~1 million forecast “points” updated as needed by local offices – every 1 to 12 hours
- Most forecast words generated “on the fly” from raw data
- Parsing/processing of 9000+ text products per hour
- ~200 units with “websites,” 400+ content providers

## NWS Internet Farm Technology

- Example usage
- Avg 6 million users per day;
- Routinely ranked in top 2,000 websites by Alexa
- Spikes to 40-60 million users
- 1 to 2 Gb/s
- Driven by impact and media attention

## NWS Internet Farm Technology

- More focus on data services
- XML based
- RSS/Atom
- Common Alerting Protocol
- SOAP/Rest services
- GIS services
- KML
- Shapefiles
- OGC Web Feature Services

## NWS Internet Farm Technology

- 2nd Generation Interactive Technologies
- NWSChat – XXMP based chat between forecasters, electronic media and emergency managers
- Google Maps interfaces on NWS web pages
- Relieves NWS of map making chores
- Improved user interface/more details
- Video briefings/training
- SMS delivery of warnings/watches

## NWS Internet Farm Technology

- Robert Bunge
- NWS Internet Dissemination Officer
- Office of the Chief Information Officer
- _[Robert.bunge@noaa.gov](mailto:Robert.bunge@noaa.gov)_
- 301-713-1381 x140
# Presentation: 786672

## Employee Verifies 2008 

- NOA 894 Pay Adjustment Applied
- In EmpowHR System

## Each Employee is to verify that: 

- His/her NOA 894 action applied in EmpowHR
- The salary on his/her SF-50 in EmpowHR is
-     correct for the applicable grade, step, and
-     locality area.

## Click on Internet explorer.

**Click on Internet explorer.**

## Enter the URL:  https://icams.usda.gov/

**Enter the URL:  https://icams.usda.gov/**

## Read the warning and click on “I agree to the above”.

**Read the warning and click on “I agree to the above”.**

## Enter your eAuthentication user ID and password and then

**Enter your eAuthentication user ID and password and then**
**Click on “EmpowHr Sign In”**

## Click on “employee self service”

**Click on “employee self service”**

## Click on “personnel actions” located under

**Click on “personnel actions” located under**
**“****view”.**

## You should see NOA 894 Gen AdJ effective 1/06/2008

**You should see NOA 894 Gen AdJ effective 1/06/2008**
**In your EmpowHR self-service.  Click on “get details”**
**to view your SF-50.**

## Click on “view details”.

**Click on “view details”.**

## You can print your own employee copy

**You can print your own employee copy**
**Of the SF-50 for your pay adjustment**
**By clicking the “printer” icon.**

## Compare the salary on the right side of the SF-50 to the applicable

**Compare the salary on the right side of the SF-50 to the applicable**
**locality pay table for your grade and step.**

**Note:  Salary Charts can be accessed at **
**The following URL:**
**http://www.opm.gov/oca/08tables/index.asp**

## Click on “General Schedule

**Click on “General Schedule**
**And Locality Pay Tables**

## Scroll down until you find the locality pay

**Scroll down until you find the locality pay**
**Area that is applicable to your work**
**Location.  Most employees are in the**
**“****Rest of United States” locality but for**
**this example our employee is in the**
**Richmond, VA locality area.**

**Click the desired**
**Button in the “annual**
**Pay” column next to your**
**Locality pay area.**

## Locate the salary for your grade and step.  Then compare

**Locate the salary for your grade and step.  Then compare**
**This salary to the salary that is shown in block 20 (total**
**Salary/award and block 20C (Adjusted Basic Pay) when**
**Reviewing your SF-50 in EmpowHR.**

## Notify the State Office Immediately

- If you did not receive your
- applicable pay adjustment
# Presentation: 528813

## Computer-Aided Design

**Nathaniel Hupert, M.D., M.P.H.**
**Assistant Professor of Public Health and Medicine**
**Division of Outcomes and Effectiveness Research**
**Weill Medical College of Cornell University**

## Guiding Questions

- What are the critical components of a mass vaccination campaign?
- What role can spreadsheet models play in forecasting resource requirements for mass vaccination campaigns?
- What are the limitations of computer modeling in developing mass vaccination plans?

## Components of Mass Prophylaxis Plan

## Created by the Department of Public Health, Weill Medical College of Cornell University, NYCOEM, and NYCDOHMH

**SAMPLE PATIENT FLOW DIAGRAM FOR MASS ANTIBIOTIC DISPENSING**

**VERY SICK GET TRANSPORT**
**TO MEDICAL FACILITY**

**HEALTHY PEOPLE GET PROPHYLAXIS**
**AMBULATORY SICK GET TREATMENT**

**SAMPLE PATIENT FLOW DIAGRAM**
**FOR MASS ANTIBIOTIC DISPENSING**** **

**Created by the Department to Public Health, Weill Medical College of Cornell Univeristy, NYCOEM, and NYCDOHMH **

## Slide 5

## Steady-state assumption

- Steady state develops if ****=** **R**/**ST********where	R****=****patient arrival rate****
- 				S = # staff
- 			 	T****=****mean service time
- When ****=then S = RT, or

**Notes:**
In modeling terms, a steady-state will eventually develop in a system if
~~
When 
~~

## SCHEMATIC FLOW THROUGH WEILL/CORNELL SMALLPOX VACCINATION MODEL

**R**

## Weill/Cornell Smallpox Vaccination Staffing Model

- PRE-EVENT

## Weill/Cornell Smallpox Vaccination Staffing Model

- POST-EVENT

## SAMPLE OUTPUT OF WEILL/CORNELL SMALLPOX VACCINATION MODEL

## SAMPLE OUTPUT OF WEILL/CORNELL SMALLPOX VACCINATION MODEL

## Slide 12

## Slide 13

## Limitations

- Accuracy of any model depends on the quality of the underlying data
- Processing times are critical variable
- Output is design-specific
- A differently designed vaccination center may give a different result
- Multiple scalable centers with externally controlled patient flow
- Feasible but requires law enforcement input
- These numbers reflect only critical dispensing staff and do not include support staff for the centers or distribution and logistics staff

## Conclusions

- Spreadsheet modeling allows planners to “think with numbers” when designing mass prophylaxis response strategies
- Modeling forces critical examination of:
- Assumptions about vaccination center layout and processes
- Availability of resources
- Model estimates are useful data to guide planning but do not replace the real thing: 	LIVE, REALISTIC EXERCISES

## Acknowledgments

**Co-Investigators **
- 	 Jason Cuomo, MPH
- 	 Mark A. Callahan, MD
- 	 Alvin I. Mushlin, MD, ScM
**NYC Office of Emergency Management**
- Edward Gabriel, MPA, AEMT-P
- Sam Benson, AEMT-P
- Anita Sher, MIA
**U.S. DHHS, Office of the Asst. Sec’y for Public Health Preparedness**
- Capt. Ann Knebel, RN, DNSc
**NYC Dept. of Health, Communicable Disease Unit**
- Marci Layton, MD
- Sue Blank, MD, MPH
**NY Presbyterian Healthcare System**
- Eliot Lazar, MD
- Arthur Klein, MD
- Neal Flomenbaum, MD
# Presentation: 383282

## PHOBOSRun-5 Wrap-up &Request for 400+GeV p+p

- Peter SteinbergBrookhaven National Laboratory
- March 30, 2005

## PHOBOS Cu+Cu 200 GeV

- ~470M

## PHOBOS Cu+Cu 62.4 & 22.5 GeV

- ~110M

- ~20M

## Thank You

- And we owe you guys a bottle of scotch & some wine...

## PAC Recommendations 9/10/04

**PAC Recommendations 9/10/04**

## PHOBOS Request for 400+ GeV

## PHOBOS Request for 400+ GeV

## PHOBOS Request for 400+ GeV

## dN/dη in Au+Au

- PHOBOS p+p Preliminary

- We have better statisticsAND systematics thanUA5 (only existing 4πmeasurements up to now)
- UA5 had O(1000’s) eventsat every energy
- We have better coverage,statistics → systematics

## Unintended Consequences

- Believe it or not,this informationis already eligibleto add to ParticleData Book...

**Unintended Consequences**

## Unintended Consequences

## When do we need it?

- We are in our last year as PHOBOS
- Not official decision yet, but a very likely outcome of DOE budget
- Personnel will be decreasing rapidly after Cu+Cu run
- Departures of key staff`
- Shift of efforts of local support to PHENIX & ATLAS
- Prefer to take O(1 day) of data as early as possible
- Magnet off, of course!
- However, if other experiments will benefit from waiting until end June, this may be optimal for the program
- _We would be fine about doing 400+ GeV p+p in late June_
- Fixing date is highest priority, to facilitate planning for reviving PHOBOS for 400 GeV
# Presentation: 155428

## 316H Diagnosis CPRS –Dive Right In

- Christy Gagliano
- Dale Givens
- Duane Mawhorter
- Nick Strong

##          316H Diagnosis CPRS - Dive Right In

- 			Class Objectives
- Utilize existing VistA tools to support disease management
- Utilize group knowledge to design a solution based on user requirements
- Facilitate group’s ability to determine own learning path
- Utilize group dynamics to learn from and teach each other

**Notes:**
Focus is to take advantage of the knowledge and expertise contained within the group members

##  316H Diagnosis CPRS - Dive Right In

- Group Introductions
- Take 2 minutes to get to know each other and assign a group leader
- The focus is for the team to take advantage of expertise of the group
- The group leader will coordinate and assign tasks
- Members will present group results at end of class

**Notes:**
Mention they have all the needed menu options, keys.  Take time to look around. Focus on presentation is to show creativity.  Each group has their own account so you will not collide with or see other groups work

##  316H Diagnosis CPRS - Dive Right In

- Access Code:  ##VEHU
- Verify Code: VEHU##
- Signature Code: VEHU##

##  316H Diagnosis CPRS - Dive Right In

- Diabetes				ORZ MN 316
- 						ORZ GMENU 316
- Medications			PSOZ QO 316
- (All for 30 days with 3 refills)
- 	Glipizide tab 5mg PO qam
- 	Metformin 500mg PO tid
- 	Insulin NPH (no preset dose)

##  316H Diagnosis CPRS - Dive Right In

- Supplies
- For all - Schedule As Directed; Quantity 100
- 					Dose	   Route
- Syringes          		1 syringe 	   SQ
- Lancets          		1 lancet  	   ‘blank’
- Alcohol pad		1 pad	   TOPICAL
- Glucose test strips	1 strip	   ‘blank”

## 316H Diagnosis CPRS - Dive Right In

- Labs					LRZ QO 316
- 	HGB A1C  (every 3 months)
- 	Lipid profile (yearly – more often if needed)
- 	Basic Metabolic Panel (yearly – more often if 					needed)
- 	Microalbumin & UA (yearly – more often if 						needed)

## 316H Diagnosis CPRS - Dive Right In

- Consults				GRMCZ QO 316
- Dilated eye exam (Ophthalmology) - yearly
- Foot risk assess. (Diabetic nurse)- yearly
- Foot/nail care (Podiatry) (as needed)
- Nutrition/weight control (Dietary/MOVE)
- Diabetic Ed. Class (Diabetic nurse)

## 316H Diagnosis CPRS - Dive Right In

- Radiology				RAZ QO 316
- 	Renal Ultrasound (uncontrolled DM 				with protein in urine)
- Text orders			ORZ GXTEXT 316
- 	Nursing – provide self injection ed.
- 	Nursing – Blood glucose testing ed.
- 	Clerk – RTC with labs or without labs

## 316H Diagnosis CPRS - Dive Right In

- Hyperlink
-   National Diabetes Practice Guidelines
-    _[http://](http://www.oqp.med.va.gov/cpg/DM/DM_base.htm)__[www.oqp.med.va.gov/cpg/DM/DM_base.htm](http://www.oqp.med.va.gov/cpg/DM/DM_base.htm)_
- Documentation provided
- 	Blood pressure
- 	LDL Cholesterol
- 	HGB A1C
- 	Microalbumin
# Presentation: 292811

## Slide 1

## Getting to the Bookshelf

- Google “_[Bookshelf](http://www.google.com/search?hl=en&q=bookshelf)_”
- Search directly
- Browse from Table of Contents
- Through PubMed concept phrases
- Links from other resources and GQuery

**http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=Books**

## Slide 3

## Slide 4

## Slide 5

## http://www.nlm.nih.gov/mobile/ 

- http://www.nlm.nih.gov/mobile/

## Slide 7

## Slide 8

## Slide 9

## Slide 10

## Slide 11

## Slide 12

## Slide 13
# Presentation: 946601

## Context Sensitive Solutions

** ****FHWA Environmental Conference****R. Keith Moore, FHWA****Tuesday, June 29, 2004**

## A briefing of CSS
Current FHWA efforts
Implementation Strategies 
Efforts to monitor
Criteria
Training efforts
Current Status of CSS

- Current FHWA efforts
- Implementation Strategies
- Efforts to monitor
- Criteria
- Training efforts
- Current Status of CSS

**This presentation includes:**

## Context Sensitive Solutions

-    CSS is a collaborative approach to developing and redesigning transportation facilities that fit into their physical and _human_ _environment_ while preserving the aesthetic, historic, community, and natural environmental values.  CSS contributes to community, safety, and mobility.
-    Equals => involving the community and the players to complete projects right the first time

## Partner with state DOTs and state/federal resource agencies 
Provide guidance and training
Fund Web Site / Resources
Support Individual State Efforts
Coordinate with Universities and Consulting Community

- Provide guidance and training
- Fund Web Site / Resources
- Support Individual State Efforts
- Coordinate with Universities and Consulting Community

**Implementation Strategies -**

## Implementation Strategies – cont’d

- Guidance and training
- Peer to peer exchanges
- Share best practices and case studies
- Encourage the development of new technologies

## Criteria

- There is a written CSS commitment and/or policy
- Technical staff is trained in CSS approach
- Most projects are being implemented using CSS
- There is early, continual, and interactive public involvement
- Interdisciplinary teams are involved throughout life of project

## Monitoring

- FHWA
- Hdqr
- Staff

- Division
- Staff

- Resource
- Center
- Staff

- State
- DOTs

- Context Sensitive Solutions

- Others

## Monitoring

## CSS Training

**CSS Training**

## Current status of CSS Training

**Current status of CSS Training**

- States where CSS training has occurred

## Current status of CSS

**Current status of CSS**

- Pilot State

- FY’04

- FY’05

## Ultimate Goal

- Context Sensitive Solutions at a project level.

## Conclusion

- For additional Information:
- R. Keith Moore,
- Community Planner
- FHWA-Headquarters
- (202) 366-0524
- _[Keith.moore@fhwa.dot.gov](mailto:Keith.moore@fhwa.dot.gov)__ _
# Presentation: 225581

## The Effect of Varied Nitrate Addition Rates on the Production of N2O During the Composting of Organic Space Refuse

**Shane Lloyd**
- CBS Trainee - SLSTP 2004 **The University of British Columbia****Vancouver, Canada**

**Dr. Richard Strayer, PI – Dynamac Corp.**Kennedy Space Center, FL 32899

## Introduction

- 	The establishment of an advanced denitrifying compost system is integral to the pursuit of controlling the production of undesirable gases and on extended space missions. In this study, nitrate addition regimens were examined and the effect on production of N2O, and other undesirable substances will be measured.  The use of Nitrate electrodes, CO2 measurements and CHN assays reveal that a lower addition rate (200 g/day) results in the production of less undesirable products, and allows for greater degradation of organic carbon sources.
**Traditional composting of organic space trash could involve two types of bacteria:**
- 		-Aerobic: C + O2  CO2 + H2O
- 			Crew Oxygen Consumed (not desirable)
- 		-Anaerobic: C  NH3 + VFA + H2O
- 			VFA (Volatile Fatty Acids) –bad odor (not desirable)
**Denitrification is the solution:**
- 	Organic-C + **NO****3****-**  N2 + CO2 + H2O
- 		Keep nitrate low and minimize N2O side products. Firestone (1982)

## Methods/Procedure 

- Study examined NO3- addition rates in two trials, each 14 days using denitrifying bacteria.
**TRIAL 1:** 200g of KNO3 day-1 for 6 days
**TRIAL 2:** 1200g of KNO3 on the first day

- Picture 1. The Space Operations Bioconverter.  This vessel will compost material using denitrifying bacteria. Photo by S. Lloyd

- Picture 2. Compost feed simulated space trash, with NaHCO3 and bacteria added.  Photo by S. Lloyd

## Conclusions/Discussion 

**TRIAL 1 with low addition rate yields less CO****2****, less C-degradation, Figure 1.**
**TRIAL 2 has a CO****2**** spike later and is higher, but  yields an enormous amount of harmful NO****2**
**Previous studies confirmed, lower rates provide optimal conditions for bacterial metabolism.  Future studies should examin lower and more continuous nitrate addition regimens.**

- Figure 1.  Effect of denitrification on the production of CO2
# Presentation: 058137

## The Weather Savvy Pilot in 2009

Presented by
Scott C. Dennstaedt

A proud product of 
Chesapeake Aviation Training
http://avwxworkshops.com
(803) 802-2591

- The Weather Savvy Pilot in 2009
- Presented by
- Scott C. Dennstaedt
- A proud product of
- Chesapeake Aviation Training
- _[http://avwxworkshops.com](http://avwxworkshops.com/)_
- (803) 802-2591

## Scott C. Dennstaedt

- Headquartered in Fort Mill, South Carolina
- Former NWS research meteorologist
- Nationwide FAA-certificated instrument flight instructor
- Specialize in aviation weather training
- Technically advanced aircraft
- Contributing editor for *IFR* magazine
- Writer for *Plane & Pilot*, *Pilot Journal, Aviation Consumer *and *Twin & Turbine*

## § 91.103 Preflight action.

- Each pilot in command shall, _before beginning a flight_, become familiar with _all_ available information concerning that flight. This information must include -
- (a) For a flight under IFR or a flight not in the vicinity of an airport, _weather reports and forecasts_

## GA pilots have many preflight resources

- NWS (ended)
- Flight Service Station (FSS)
- By phone
- 1-800-WXBRIEF
- In person
- DUATS (via the Internet)
- DTC (duat.com)
- CSC (duats.com)
- Internet weather brief
- Self briefing
- May include DUATS and/or FSS

- The RDU Flight Service Station

## Flight Service is still rather busy

- An average of 50,000 to 60,000 calls are handled each week by FSS

## Is a FSS briefing enough?

- A standard briefing includes
- Synoptic overview (mainly at the surface)
- Radar and satellite overview
- METARs
- Area Forecast (FA)
- TAFs
- AIRMETs, SIGMETs and convective SIGMETs
- Winds and temperatures aloft (FB Winds)
- PIREPs
- NOTAMs

- Aviation Weather Center

## NTSB study done using 4,159 accidents from 1994 through 2003

## NTSB study done using 4,159 accidents from 1994 through 2003

## Some pilots are using the Internet

- Online subscription-based websites
- WeatherTAP
- Flight planning software
- Jeppesen Flitestar
- Private collection of miscellaneous sites
- Not necessarily specific to aviation
- Aviation Digital Data Service (ADDS)
- Combination of the above

## Slide 10

## Some pilots are going beyond the basics

- Internet is full of relevant supplemental data
- MOS
- Model-based forecasts
- Simulated reflectivity
- Thermodynamic diagrams
- Non-standard convective indices
- QPF
- High resolution graphics
- Satellite

- Simulated reflectivity

## Internet Wx Brief Roadmap

- Subscription-based
- Collection of key NWS/NOAA websites used as an organized checklist
- Start at the top and work toward the bottom
- Links directly to the chart
- Organized by departure date/time
- Within 12 hours
- Within 24 hours
- Between 1 and 3 days
- Three days and longer
- Also a teaching tool

## Scott Dennstaedt, CFI
Fort Mill, SC 
KEQY/KUZA
803-802-2591 (day and evening)
http://avwxworkshops.com

- Scott Dennstaedt, CFI
- Fort Mill, SC
- KEQY/KUZA
- 803-802-2591 (day and evening)
- http://avwxworkshops.com
# Presentation: 721390

## REMOTE TESTING

- Douglas Townes, P.E.
**Florida DOT**
**State Construction Training Engineer**
**414-4151**
**Douglas.townes@dot.fl.state.us**

**TCCC  -  WINTER  MEETING,  ORLANDO, FL    DECEMBER  2003**

## REMOTE TESTING

**What is remote testing?**
**Why use remote testing?**
**How does remote testing work?**
**What are the costs?**

**TCCC  -  WINTER  MEETING,  ORLANDO, FL   DECEMBER   2003**

## What is remote testing?

- Outsourcing your agency’s Examination proctoring

**TCCC  -  WINTER  MEETING,  ORLANDO, FL   DECEMBER   2003**

## Why use remote testing?

- Allows more flexibility in administering examinations
- Students have more choices in examination locations
- Exam centers are open evenings and weekends
- Gives student instant feedback on raw score
- Can reduce overall examination costs

**TCCC  -  WINTER  MEETING,  ORLANDO, FL   DECEMBER   2003**

## How does remote testing work?

**Agency enters into a contract with examination provider**
**Contract takes several months to negotiate**
**Usually a fee to set up the account**
**Fee per student**

**TCCC  -  WINTER  MEETING,  ORLANDO, FL    DECEMBER   2003**

## How does remote testing work?(Continued)

**Students register:**** **
**Directly with provider**
**Fee is a part of registration **
**Through agency**
**Better for government agencies that control “who” is allowed to take an exam**
**Fee is assessed to the agency.  Agency must collect fee from student**

**TCCC  -  WINTER  MEETING,  ORLANDO, FL   DECEMBER   2003**

## How does remote testing work?(Continued)

**Time and location is specified**
**Student arrives and shows photo ID **
**Exam is downloaded from a secure server**

**TCCC  -  WINTER  MEETING,  ORLANDO, FL   DECEMBER   2003**

## How does remote testing work?(Continued)

**Student takes exam on line**
**Exam is graded within a few seconds  (optional)**
**Agency is notified of results**

**TCCC  -  WINTER  MEETING,  ORLANDO, FL   DECEMBER   2003**

## Typical waiting room(note lockers in back)

**TCCC  -  WINTER  MEETING,  ORLANDO, FL   DECEMBER   2003**

## Typical testing cubical

**TCCC  -  WINTER  MEETING,  ORLANDO, FL   DECEMBER   2003**

## Tests are proctored

**TCCC  -  WINTER  MEETING,  ORLANDO, FL   DECEMBER   2003**

## What are the costs?

**Contracting costs**
**Contract Fee**
**Exams usually multiple choice**
**Fee to convert exams to special format **
**Per Student Cost**

**TCCC  -  WINTER  MEETING,  ORLANDO, FL   DECEMBER   2003**

## Is Remote Testing right for your State/Region?

**TCCC  -  WINTER  MEETING,  ORLANDO, FL   DECEMBER   2003**

## Florida has 12 testing centers

## Hope this session has been informative.

**ACI was also invited to share this session lectern as ACI has been remote testing for several years.**

**TCCC  -  WINTER  MEETING,  ORLANDO, FL   DECEMBER   2003**

## QUESTIONS?

**  ****Thank you**
** ****for your time**
**	****	****	****Douglas Townes, P.E.**
**	****	****	****Florida DOT**
**	****	****	****State Construction Training Engineer**
**	****	****	****Douglas.townes@dot.state.fl.us**

**TCCC  -  WINTER  MEETING,  ORLANDO, FL   DECEMBER    2003**
# Presentation: 134395

## Paying for Performance -- Sounds Good .... But What Performance Are WE Paying For?   

- Nancy Wolff, Ph.D.

***Complexities of Co-occurring Conditions Conference, June 23-25, 2004, Washington D.C.***

## Performance Level 1Facility Level 

- Public
- Funding

- Private
- Funding

## Distribution of Need
Distribution of Services
Distribution of Funding

Which is leading? 
Which should lead?
Efficient relative to what?
 Demand
 Need

**Distribution of **_**Services**_
**Distribution of **_**Funding**_
**Which is leading? **
**Which should lead?**
**Efficient relative to what?**
** ****Demand**
** ****Need**

_**Target Efficiency**_

## Performance Level 2Client Level 

- _Immediate_
- Client
- Outcomes

## Immediate: Effectiveness of treatment and their combinations

Sustainability: Effectiveness of treatment on recovery

_**Sustainability**_**: Effectiveness of treatment on recovery**

_**Return on Investment**_

## Performance Level 3Societal Level 

## Connection between: 
 Immediate and Sustained Client
    Outcomes
 Client Outcomes and Treatment

Connection between:
 Client and Social Outcomes  
 Client and Social Outcomes and
   Other Contextual Factors

** ****Immediate and Sustained Client**
**    ****Outcomes**
** ****Client Outcomes and Treatment**
**Connection between:**
** ****Client and Social Outcomes  **
** ****Client and Social Outcomes and**
**   ****Other Contextual Factors**

_**Return on Investment**_

## Performance Level 3Societal Level 

## Rewarding Performance  

- Social
- Outcomes

_**Facility**_** **

_**Client**_

_**Societal**_

_**Funding**_

## Level of performance?
Criteria for performance?
Relationship among the levels?  
Effect of contextual factors on       client and social outcomes? 

**Criteria for performance?**
**Relationship among the levels?  **
**Effect of contextual factors on       client and social outcomes? **

**For What Performance are *****WE***** Paying ?**
# Presentation: 028610

## Agencies and Companies Involved in Ceiling Design and Construction

## Project Management

- Federal and State oversight
- Private management consultant
- Central Artery/Tunnel Project subdivided into a number of sections
- 38 section design contracts
- 142 construction contracts
- Section Design Consultant responsible for final design

## Slide 3

## Project Oversight

- Administration

- MassHighway
- Mass. Turnpike Authority

- Bechtel/Parsons Brinckerhoff (B/PB)

- Gannett Fleming, Inc.

- Conam
- Inspection, Inc.

- Sika
- Corporation

- Powers
- Fasteners, Inc.

- Newman
- Renner
- Colony, Inc.

- Modern Continental
- Construction, Inc.

**Project Oversight**

**Design and Construction**

**Epoxy**

## Project Oversight

**Federal Highway Administration**

**MassHighway**
**Mass. Turnpike**
**Authority**

**Project Oversight**

## Ceiling Design & Construction

**Bechtel/Parsons Brinckerhoff**** ****(B/PB)**

**Gannett Fleming**

**Ceiling Design & Construction**

**Conam Inspections**

**Modern Continental**

## Epoxy Used for Ceiling Anchors

**Sika Chemical Corporation**

**Powers Fasteners**

**Epoxy Used for Ceiling Anchors**

**Newman Renner Colony ****(NRC)**

**Modern Continental**

## Slide 8