BEE-spoke-data/govdocs1-by-extension huggingface dataset:
# Presentation: 190589

## Study of 0 Reconstruction in GEANT Simulation

- Analysis Projects
- Particle Identification & Efficiency.
- Event Mixing Method.
- Energy Calibration.
- Other Basic Study

- Shunji Nishimura
- CNS, Tokyo

- Gabor David
- Stephen Markacs
- Craig Woody

- Ken Oyama

- Shunji Nishimura

- Takao Sakaguchi

- Takashi Matumoto
- SouIchiro Kametani

*CNS / Waseda*

## 0 Reconstruction by PHENIX-EMCalDemonstration using simulation (Presented in Nov./1999)

- Energy resolution
- - FWHM of 0 peak : ~40MeV

- Particle identification
- - Photon efficiency : 70%
- - Contamination : 20%
- - 0 efficiency : ~ 50%

**Parfect PID & Perfect Energy **

**Realistic PID (efficiency / contamination)**

**Energy resolution (smearing, etc)**

- Humm..

- 0

- 0

- 0

- We need better PID...

- Condition
-  - Pt () > 2.0GeV/c
-  - Asym. < 0.7
-  - Au+Au central collisions
-                 b < 2fm
-                ~ 17 k events

## Current Status  (Feb./2000)

**88% efficiency**
**(Feb./2000)**

**70% efficiency **
**(Nov./1999)**

**Contaminations from non-photon including particles **
**from non-vertex :  ****~ 20%**

**Photon efficiency is improved. :       ****70%   →    88%**

- Step 0. No cut
- Step 1. TOF cut
- Step 2.  Cut with
-    Primary energy dep.
-    Maximum TOF
-    PC3 association

- Photon

## Background particles

- (vertex position > 2mm)

- Few contamination after PID cuts

## Before (Nov./1999)

- After (Feb./2000)

- 0 peak seems to be enhanced. More work will be done on PID considering precise efficiency evaluation.

- Asym. < 0.5

- Energy Resolution
- Included

- Perfect Energy

## Energy Smearing from Multi-Particle Hits in Cluster

**Single particle in cluster**

**All clusters**

**Inv. Mass (Geant)**

**Inv. Mass **
**(Measured)**

**- ****Serious smearing effect due to muti-particle hits in cluster. **
**- ****Can’t we improve energy separation in clustering method?**

- Smearing effect

- Better S/N ratio...

- E1

- E2

- Better energy resolution
# Presentation: 800602

## Cut and Machined Plascore Panel

## Plascore Panels Used in CMS

## Extremely Flat Panel Allows Precision Cutting

## Flat, Rigid Plascore Panel Ready For Wire Winding

## Panel Flatness Provides Proper Electrostatic Field From 1000 Wires

## Epoxied Core Provides Long Term Stability; Endures Hand Soldering Of Components

## Seven Machined Plascore Panels Used To Make One Large Muon Chamber

## Only Perimeter Frame Required To Support Seven Plascore Panels

## Completed Chamber/7 Plascore Panels

## Muon Detector End Cap

## First Completed Chamber To Be Mounted On CERN Detector Disk
# Presentation: 733183

## Polygon Warnings – A Sharper Focus on Service

- National Weather Service
- San Angelo TX

## What is the Warning-old way?

- Previously, the entire county has been the “warned area”, even if the actual storm covered only a small portion of the county.

## What is the Warning-new way?

- In the method we are evaluating this spring and summer, the warning is the “polygon” of expected severe weather.

## Polygon Warning Advantages

**By using the Polygon, we focus only on those parts of the counties where severe weather is expected. **

## Polygon Warning Advantages

**In one NWS office test last spring, the warning area was reduced by 73% and the number of towns included in warnings shrunk from 494 to 152 by using polygons instead of counties**

## What does this mean to you?

- You will be warned only when you need to be
- The warnings and statements you do see will be more specific
- Your warnings will remain in the same format as before, and you will be able to receive them in the same way you always have
- You will have a way of viewing the warnings graphically on our webpage
- You may see two separate warnings in effect simultaneously for the same county-covering the paths of two separate storms

## Feedback

- We want to hear from you on the polygon evaluation.
- Contact Buddy McIntyre at (325) 944-9445
- Or, send us an e-mail at nws.sanangelo.gov

## Polygon Warning Advantages

**The area that would have been warned before, but is not in the new polygon warning is called the “False Alarm Area” **
# Presentation: 037080

## Architecture Group

- Chair: Jim Myers
- Syd Chapman, Monica Duke, Carol Goble, Dennis Groth, Robert Hutchison, Jessie Kennedy, Natalia Maltsev, Jun Zhao
- Edinburgh 02 December 2003

## Provenance Architecture needs to support

- Informed Decision Making
- Data/Service Evaluation
- Trust
- Quality of Service
- Impact/Risk Assessment
- Uncertainty Propagation
- Consistency checking/ data validation (e.g. conflicts in input data)
- Failure Diagnosis
- Hypothesis Testing

## Provenance Services

- Naming
- Lifecycle
- Discovery (data, schema)
- Basic Management (ingest, storage, query, update, notification, ...)

- Reasoning (mapping, inference, ...)
- Records (signing, nonrepudiation)
- Migration (schema, formats, signatures, ...)

## “Higher Level” Provenance Services

- Archival/versioning (copies of external data, services, ...)
- Policy enforcement (fit for purpose, adheres to common data model, ...)
- Federation & aggregation
- Collection and/or Compounding
- Curation
- Conflict detection & resolution
- Workflow

## Provenance Contexts

- Orthogonal Dimensions:
- Process/Causality
- Evidential/Dependency
- Trust
- Aggregation/Categorization
- Recognition/Credit
- Association

- Uses require multi-dimensional reasoning:
- Process provenance and annotation
- Aggregation gives Knowledge
- Trust gives Confidence

## Other thoughts

- Depth and Dimensionality of Provenance
- A measure of quality?
- Meta Provenance
- Some use cases involve provenance about the data provenance (beliefs about provenance quality, ...)
# Presentation: 033965

## MNM Fatal 2007-05

- Other (Drowning) Accident
- March 30, 2007 (Louisiana)
- Sand & Gravel Operation
- Dredge Operator
- 34 years old
- 16 years experience

## Overview

- The victim was fatally injured when he fell
- into a dredge pond and drowned.  He was
- working alone on the dredge deck, possibly
- attempting to untangle a winch cable.  He
- was not wearing a life jacket.

## Slide 3

## Root Causes

- Management policies and work procedures failed to address working alone on the dredge deck while performing potentially hazardous duties.
- Management policies and work procedures failed to identify the hazard of falling into water while working inside the hand rails that were provided around the perimeter of the dredge deck.

## Best Practices

**Always wear a life jacket where there is a danger of falling into the water. **
**When performing maintenance tasks on the dredge, ensure that sufficient persons are on board to safely perform the task. **
**Conduct a risk analysis before starting the task to ensure that all hazards are evaluated and eliminated. **
**Ensure that machinery components are blocked against hazardous stored energy prior to performing maintenance or repairs. **
**Ensure that the dredge has hand rails, of substantial construction and height, to prevent persons from falling overboard.**
# Presentation: 700301

## Consideration of Issues

- John M. Kane, MD
- Chairman, Department of PsychiatryThe Zucker Hillside Hospital
- The North Shore–Long Island Jewish Health System
- Professor of Psychiatry, Neurology and NeuroscienceAlbert Einstein College of Medicine

## Clozaril® - Indications

- First approved in 1969 for treatment of schizophrenia
- First approved in the United States in 1989 for the management of treatment-resistant schizophrenia
- Approved in 2002 for treatment of recurrent suicidal behavior in patients with schizophrenia and schizoaffective disorder

## Clozaril associated agranulocytosis

- Serious disease in an affected individual
- Represents a significant burden to health care
- Early detection decreases risk
- Mortality associated with agranulocytosis

## WBC Monitoring System

- NO BLOOD, NO DRUG
- Early detection of _**moderate leukopenia**_ in order to reduce or prevent the occurrence of _severe leukopenia_, _agranulocytosis_ and _death_.

## Question to Committee

- Should the frequency of monitoring
- be reduced? If so, when, how and to
- what frequency?

## Benefits of Monitoring System

- Ensures **safe** use of Clozaril®:
- through early detection of leukopenia and/or agranulocytosis, which reduces:
- morbidity (hospitalizations and intensive care)
- mortality
- by maintaining non-rechallengable database:
- 4,526 patients (Feb. 2003)
- Provides a very important safety net

## Disadvantages of Frequent  Monitoring

- Inconvenient to patients and caregivers
- Patients who may benefit from Clozaril never start because of the monitoring requirement
- Premature discontinuation of treatment

## Agranulocytosis rates after 52 weeks

- No significant differences after changes in systems
- Rates are low after 52 weeks

**Differences between **
**Systems (with CI’s **
**and p values)**
**US rates**
- 0.273 (0.1,0.45)
- (p = 0.0022)
**UK rates**
- -0.28 (-0.78, 0.22)
- (p < 0.274)

## Data that Support a Reduction in Monitoring Frequency 

- Changes in monitoring frequency was not associated with a statistically significant increase in the rates of moderate leukopenia, severe leukopenia, or agranulocytosis
- Rate of agranulocytosis has decreased by calendar year
- Risk of developing agranulocytosis is greatest during the first 6 months of treatment and stabilizes thereafter

## Considerations that Do Not Support a Change in Monitoring Frequency

- Change from bi-weekly (0.3) to monthly (0.6) monitoring in the UK was associated with an increase in the incidence of agranulocytosis (p=0.274)
- May diminish the ability of the system to detect moderate leukopenia in order to reduce or prevent the occurrence of severe leukopenia, agranulocytosis and death
- May put patients at increased safety risk that cannot be estimated from existing data

## Overall conclusions

- Monitoring systems work
- Data don’t preclude a less frequent monitoring schedule
- Data don’t rule out an increase in rate of agranulocytosis with less frequent monitoring

## Psychopharmacologic Drugs Advisory Committee
June 16, 2003

- June 16, 2003
# Presentation: 373519

## President Harry S. Truman Fellowship 

- “Exceptional Service in the National Interest”

**President Harry S. Truman Fellowship **
**In National Security Science and Engineering**** **

- Eligibility criteria include: U.S. citizenship, the ability to obtain a DOE "Q" clearance; research in areas of interest to national security; the candidate must have been awarded a Ph.D. within the past 3 years at the time of application or will have completed all Ph.D. requirements by commencement of appointment; and, candidates seeking their first national laboratory appointment.
- The Truman Fellowship is a three-year appointment normally commencing on October 1, although exceptions may be made to accommodate special circumstances.  For Fellows beginning their appointments in 2005, the salary is $94,200.  The number of appointments is limited. A panel of senior scientists and engineers at Sandia will review candidates. Application deadline is December 5, 2004.   For more details, visit our Web Site at:
- http://www.sandia.gov/employment/employment/special/truman/.

**US Citizenship is required**
**An Equal Opportunity Employer M/F/D/V**

- Sandia National Laboratories is a federally funded research and development organization and contractor for the U.S. Department of Energy.
- The labs offer a competitive benefits package that includes health, vision, and dental insurance; savings and income plan (401K); and paid holidays and vacation.
- The laboratories principal locations, Albuquerque, New Mexico, and Livermore, California, offer a complete range of cultural and recreational activities.

- Sandia National Laboratories is seeking applicants for the President Harry S. Truman Fellowship in National Security Science and Engineering  to attract the best nationally recognized new Ph.D. scientists and engineers. Truman Fellowship candidates are expected to have solved a major scientific or engineering problem in their thesis work or will have provided a new approach or insight to a major problem, as evidenced by a recognized impact in their field.
- The Fellowship provides the opportunity for recipients to pursue independent research of their own choosing that supports the national security mission of Sandia National Laboratories.  The appointee is expected to foster creativity and to stimulate exploration of forefront science and technology and high-risk, potentially high-value R&D.
- Sandia has research focus areas in: Biotechnology; Chemical & Earth Sciences; Computing, Mathematics and Information Sciences; Electronics and Photonics; Microsystems and Engineering Sciences; Manufacturing Science and Technology; Materials Sciences; Pulsed Power/Directed Energy; and Robotics and Intelligent Systems.
# Presentation: 810704

## Modeling of SNAP in Geant4

- Justin F. McDowell
- Florida A&M University

## Purpose

- We desire to build a model of SNAP in Geant4 and automate this process. To do this by hand would take years.
- We will be using a “Nibble” file to automate the reconstruction process.
- Build an interface to go directly from Solidworks/IDEAS to Geant4 for simulation purposes.

## What is a Nibble?	

- What is a Nibble?

- A “nibble” is a 3-D cube of SNAP satellite that gives information on it’s volume, density, position, center of gravity and material composition, generated by Herman Cease.
- This will give us the ability to characterize large amounts of the satellite.
- Focal plane and electronics will be implemented as hand located pieces.

## Truncated Nibble File

- gusset_a_MOD8			PART		0	0	0	7317.586	-975.99906	12.625	-1046.755
- Tank-100_MOD2			PART		0	0.012	0	1199429.684	-238.58723	-344.555	-1046.564
- Tank-100_MOD1	1		PART		0	0.012	0	1199442.435	-238.5867	344.542	-1046.56
- Tank-100_MOD6			PART		0	0.011	0	1089330.775	400.31908	-46.387	-1046.538
- Tank-100_MOD7			PART		0	0.011	0	1089341.15	400.31967	46.387	-1046.538
- Tank-100_MOD1	2		PART		0	0.011	0	1074685.396	-146.35326	344.145	-1045.955
- Tank-100_MOD1			PART		0	0.011	0	1074688.224	-146.35943	-344.156	-1045.954
- Preamp.2_MOD1			PART		0	0.001	0	110379.332	54.1134	-1078.039	-1045.398
- Preamp.2_MOD2			PART		0	0.005	0	477583.1	104.1134	-1078.039	-1045.398
- Preamp.2_MOD3			PART		0	0.005	0	459981.093	-990.23413	453.784	-1045.398
- Preamp.2_MOD4			PART		0	0.001	0	107696.708	-939.2239	459.955	-1045.398
- Preamp.2_MOD5			PART		0	0	0	20284.631	-992.62117	513.762	-1045.398

## Exercise in Geometry

- This is an exercise consisting of four disks used to represent the CCD’s at the focal plane.
- This demonstrates control of creation and placement of geometries in a Vacuum World.
- Disks are made of Al, Si, Ni, Mo in a Vacuum.
- Not drawn to scale at this time to verify materials and orientation.

## Summary and Plans

- Use C++ to read the nibble file and generate source code.
- Experiment with material mixtures consistent with what the nibble file might report.
# Presentation: 499857

## Setting State-Level Appliance and Equipment Efficiency Standards

- Andrew deLaski
- Appliance Standards Awareness Project
- www.standardsASAP.org

## A History of Success

- 1970s:  California adopts point-of-sale standards; first Federal legislation
- 1980s:  Additional states set standards; NAECA enacted
- 1990s:  NAECA expanded and some standards updated
- Total savings in 2000:
- 2.5% of U.S. electricity use
- 70,000 MW of generating capacity
-  $50 billion in consumer savings

## Why new state standards now?

- Some of the best opportunities lie with non-federally covered products
- National AC standards fall short: states can seek exemption from federal preemption
- Extremely cost-effective way to address market barriers
- California is breaking the path
- Best political environment in some years

## Products

- _Product_
- Commc’l refrigerators
- Distribution transformers
- Consumer electronics
- Torchieres
- Exit signs
- Traffic lights

- _Standard_
- CEC (current median)
- NEMA TP-1 (E-Star)
- 1 Watt standby
- CEC (<190 Watts)
- Energy Star (LED)
- Energy Star (LED)

## Products (cont’d)

- _Products_
- Ice-makers
- Commc’l unit heaters
- Furnace and heat pump fans
- ceiling fans
- vending machines

- _Standard_
- FEMP spec (CEC)
- Elec. ignition and power vent
- ??
- ??
- ??

## Estimated National Savings

- Electricity savings
- Gas savings
- Peak savings
- Net economic savings
- Benefit cost ratio
- Carbon emissions

- 73 TWh in 2010, 164 in 2020 (5% of R&C elec. Use)
- 150 million Dth in 2020 (3% of commc’l use)
- 40 - 50 300 MW plants
- > $80 billion
- > 5:1
- > 20 MMT in 2020

## How

- Prescriptive standards in building energy codes
- Administrative standards
- New legislative authority
# Presentation: 531580

## Fight Plans for Indirect Effect component

-  Non-precipitating Cu, SCu
-  Z < -17dBZ (~ threshold to filter drizzle)
-  Ice-free

## Measurement capabilities

- Ground-based remote sensing:
- LWP, *r**e*, aerosol extinction **
- Twin Otter:* *
*in-situ: n(r), n(a) *[r=drop radius*; a=*aerosol* *radius]
- remote sensing: *r**e **, ****d *, LWP (derived)*, **** *(reflectance)
- Proteus:
*in-situ: n(r)*
*remote sensing: r**e **, ****d *, LWP (derived)*, ***
- Downward looking mm radar for* r**e *(together with derived LWP)

## One aircraft

- Statistical approach
- Fly beneath clouds to measure PDF of *w, n(a) *
- Fly in clouds to measure PDF of *w*, *N**d **, r**e **, n(r)*
- Look at *N**d**=f (n(a), w, T, P)*
- Fly ~50 m below/above cloud base;
- Priority: clouds over CF (remote sensing context –
- 						LWP, *r**e **, ***)
- Assume clouds are feeding off ~same boundary layer aerosol; characterize aerosol and dynamics; examine drop number response.

*w*

## One aircraft

- Verification of remote sensing measure of IE
- Fly daisy or racetrack pattern returning to CF
- 3 or 4 overpasses of CF below cloud base (~200 m)
- 8 or 10 overpasses of CF in upper 1/3 of cloud
- CF provides context of LWP, *r**e **, ***

- Central Facility

- 200 m

- Plan view

- Remote sensors at CF

- wind
- direction

## One aircraft

- Verification of remote sensing measure of IE
- Fly daisy or racetrack pattern returning to CF
- 2 or 3 overpasses of CF below cloud base (~200 m)
- 8 or 10 overpasses of CF above cloud using remote sensing to measure *r**e **, ****d **, ***
- Intercomparison of Central Facility LWP, *r**e*

- Central Facility

- lidar **  vs. in-situ

- radar *r**e* vs remote (downward)

- wind
- direction

- CF

## Two aircraft

- CF

*r**e **,n(r), N**d **, w*

*n(a), ****w*

- ~150 m

- flexible

- Depends on cloud depth: upper 1/3 of cloud probably fine

## Two aircraft

- CF

*r**e **,***, **, LWP

*n(a), ***

## Two aircraft

- CF

*r**e **,****d *, **, LWP

*n(r), N**d **, r**e**, w*

- upper 3⁄4 of cloud

- First do
- sub-cloud leg
- to measure
- aerosol
# Presentation: 749356

## NASA Experiment Designer and Workflow Tools

- NASA SIVO Code 610.3
**Curator Workshop**
- October 19, 2007
*Presented By*
*Brice Womack*

## Background - GEOS-5

-  Contains many sub-components
-  Generally one or more option for each component

## Background - GEOS-5

- GMAO created MAPL to automate routine aspects of ESMF component creation and coupling
- Uses MAPL to create components
- Import State and associated Fields
- Export State and associated Fields
- Internal State and associated Fields
- Uses MAPL to specify component coupling and data exchange
- Uses MAPL to specify the run sequence of components
- Does not support concurrent execution mode of ESMF

## Prototype Workflow Tool Components

- Runs completely within NCCS environment
- Borrows workflow tools already in use at ECMWF:
- SMS as scheduler
- XCDP as view/control GUI
- NED (NASA Experiment Designer) replaces PrepIFS
- GEOS-5 workflow, based on Larry Takacs’ scripts

**Workflow Tool System Flow**

## NED GUI

## NED Features

- Experiment search:
- Inside experiment configurations
- Or the collection of previously run experiments
- NED architecture
- Client/service model, easily extensible components
- Suitable for wide range of workflows

- Design experiment templates
- Experiment configuration persistence
- Save to file or database for any user to recall later
- Difference experiments for subtle changes
- Version-controlled experiment templates

## NED Features - Experiments

- Experiments are defined as units of execution with dependencies
- Build/compile
- Input data retrieval from archive
- Model run
- To end Date/Time
- For x timesteps/hours/days
- Ensembles 1-x
- Etc
- Post Processing - diagnostic generation, visualization, etc
- Archival of experiment output data

## NED Features - Continued

- Experiments are read/written as XML
- Each unit of work has a corresponding XML description
- New units of work can be added dynamically
- Variables defined in a unit of work can be customized
- Variable type
- Min/Max value
- Display method (list, checkbox, etc)
- Uses XSLT to allow export of multiple file types including:
- CSH, BASH, KSH, etc
- ESMF Config/Attribute file
- Fortran Namelists

## NED Next Steps

- Consider Alternative Workflow tools (Enhydra)
- Parse MAPL.RC files to integrate model metadata
- Auto-Generate MAPL.RC files to specify:
- components used in model
- coupling of model component
- Synchronize NED schemas with Curator/METAFOR
# Presentation: 254495

## Faculty Early Career Development Program(CAREER)

- Joanne Tornow
- BIO/MCB
- Chair, CAREER Coordinating Committee

## CAREER Program Goals

- Provide stable funds to support the early career-development activities of outstanding teacher-scholars in the context of the mission of their organization
- Build a firm foundation to sustain integrated research and educational activities beyond the life of the initial award
- Increase participation of those traditionally underrepresented in science and engineering

## CAREER: NSF’s Most Prestigious Award for Junior Faculty

- Size and duration of CAREER awards are commensurate with the award’s prestige
- Five year duration
- $400,000 minimum ($500,000 in BIO)
- Source of NSF’s PECASE awardees (Presidential Early Career Award for Scientists and Engineers)

## PECASE

- Presidential award recognizing 60 outstanding junior scientists and engineers annually who have exceptional potential for leadership at the frontiers of knowledge
- Participating agencies:  NSF, NIH, NIST, USDA, DOE, DOD, NASA, NOAA, and VA
- NSF’s awardees are chosen from among the newest group of CAREER awardees

## History of CAREER

- Prestige grants **PFF, PYI, NYI**

- Starter grants
**RIA**

- 1995
**CAREER**
- (Faculty Early Career Development Program)
- Integration of Research and Education

- Pre-1995
- Two types of young investigator awards
- Both focused on research

## Implementation of CAREER

- Leader Role Model
- Nation’s most outstanding teacher-scholars
- Critical Mass
- Majority of successful new faculty expected to hold CAREER award

- Multiple implementation strategies are being used within NSF

## Implementation of CAREER

- Different implementation strategies lead to:
- Differences in # proposals received
- Differences in % of program funds allocated to CAREER
- Differences in % of junior faculty supported by CAREER vs. regular grants

## CAREER at NSF

- NSF-wide CAREER success rates are declining (23% in FY’00 to 19% in FY’04)
- Total number of CAREER proposals submitted have increased nearly 30% in last five years

## # of CAREER Awards

## CAREER Success Rates in BIO By Division (’01-’05)

## CAREER vs. New PI Success Rates in BIO (’01-’04)

## Total CAREER Funding in BIO (FY’00-’04)

## Total CAREER Funding in BIO By Division (FY’00-’04)

## CAREER Demographics (NSF-wide)

- Participation by female PIs increasing slightly (21% in FY’00 to 25% in FY’05)
- Participation by minority PIs increasing (7.3% in FY’00 to 10% in FY’05)
- ~ 16% of proposals were submitted by institutions in EPSCoR states
- ~ 4% of proposals were submitted by minority-serving institutions

## In Conclusion

- The CAREER program is a major activity at NSF (over 3700 CAREER awards made to date, 160 PECASE awards), and is continuing to grow
- Future Activities:
- COV review of CAREER
- External evaluation of the impact of CAREER
- PECASE awardee colloquium
# Presentation: 822252

## U. S. Department of Transportation 

**U. S. Department of Transportation**** **
**Pipeline and Hazardous Materials Safety Administration**

**www.dot.gov**

## Welcome to PHMSA Public Awareness Public Meeting

- On Behalf of DOT & PHMSA - Welcome
- Administrative Moment
- Special Thanks
- Selective Recall
- Our Purpose
- Web Cast
- Agenda Review
- On with the show...

## Administrative Moment

- Safety and Comfort Announcements
- Fire Exits, Restrooms, Cell Phones/Pagers
- Show of Hands Please
- Government:  Federal, State, County/Local, Industry, Service Providers
- Presentations will be posted to PHMSA web site
*http://primis.phmsa.dot.gov/comm/PublicAwarenessWorkshops.htm*
- Attendance list is not available
***Special Note:  Closing Doors = Meeting in Session***

## Special ThanksSouthern Gas Association & American Gas Association 

- RP 1162 Committee
- Keener & the CATS + NAPSR
- Steve Fischer – New Program Development Director
- Parker/Wright LLC
- Paradigm
- Fleishman-Hillard
- Devaney & Associates
- The Pipeline Group
- Celeritas
- Enterprise for Education, Inc.
- Above & Below Ground Consulting/The Service Center, Ltd

## PHMSA’s Public Awareness History

- Pipeline Safety Regulations Long Required:
- Damage Prevention awareness for Excavators
- Emergency Plans for Fire, Police, & Public Officials
- Public Education
- API RP 1162 Committee Formed in January 2002
- API RP 1162 Issued in November 2003
- Operator Workshops Held in 2003 and 2005
- Final Rule in May 2005 Required RP 1162-style Programs by June 20, 2006 – 4 year cycle

## Our Purpose

- Recall Why We are Here
- Take Stock of Our Progress
- Provide Opportunities for Learning
- Identify our Remaining Challenges
- Begin the Process of Updating/Confirming  the Foundation Set by RP 1162

## Web Cast

- Webcast Participants Can Ask Questions
- Use the link titled “Click here to send comments or questions” under the left-hand screen
- Questions Routed to the Meeting Room
- Read to the Appropriate Presenter
- To Be Considered – Please Include Name and Organization You Represent, If Any

## Agenda Review

- Clearinghouse Summary
- Supplemental Elements
- Written Programs
- Operator Implementation
- RP 1162, Second Edition
- Lessons Learned from RP 1162-style Programs
- Gathering, Natural Gas & Hazardous Liquid Transmission, and Natural Gas Distribution
- PHMSA & State Oversight

## Next Speaker:  Blaine Keener

*OPS National CATS Coordinator*
# Presentation: 565222

## FOXSI – Focusing Optics X-ray Solar Imager

**FOXSI – Focusing Optics X-ray Solar Imager**

_**Science Objectives:**_
- 1. Flare Acceleration Region - FOXSI will be able to image where electrons are accelerated, along which field line they travel away from the acceleration site, where they are stopped, and how some electrons escape into interplanetary space.
- 2. CMEs - High sensitivity HXR observations by FOXSI  will enable direct observations of electrons accelerated by CMEs as they travel in the low corona.
- 3. Radio Emission - FOXSI will allow for the detection HXR emission from electrons that produce coherent radio bursts for the first time.
- 5. Other targets also include microflares, the Quiet Sun, Solar Axions, and astrophysical sources.

_**Enabling and Enhancing Technology**__** **_
- 1. CZT and Si pixelated detectors - Developed for  NeXT, currently are strip detectors with 100 um (Si), 200 um (CZT) strip size.  New smaller ASIC will do single pixel readout and
- 2. HXR Focusing Optics - Based on HERO, new processes in nesting shells and coating deposition will increase the maximum spatial resolution.

_**Associated RFAs:**_
**F1**: Understand magnetic reconnection as revealed in solar flares, coronal mass ejections, and geospace storms. **F2**: Understand the plasma processes that accelerate and transport particles.  **H1**: Understand the causes and subsequent evolution of solar activity that affects Earth’s space climate and environment.

_**Mission Implementation Description:**_
-  - Single 3-axis stabilized spacecraft in Earth orbit.
-  - Total weight : 250 kg
-  - Power req : 50 W.
-  - Sensitivity 100x RHESSI.
- Optics
-  - Based on HERO optics (Ramsey et al.)
-  - Grazing incidence hard x-ray mirrors.
-  - Field of View of 700 x 700 arcsecs.
-  - Effective area 150 cm2 up to 50 keV (4x RHESSI) or 1 cm2 per kg of optics.
-  - Spatial resolution of of single shell 7’ arcsec FWHM.

- Focal Plane Detectors
- - Si pixel detectors.
- - CZT pixel detectors.
- - based on NeXT mission.
# Presentation: 757508

## Slide 1

## Slide 2

## Ecological Receptors

- Aquatic biota
- Sediment organisms
- Aquatic plants
- Aquatic vertebrates (fish)
- Aquatic invertebrates (clams, crayfish, etc.)

## Ecological Receptors (cont)

- Terrestrial biota
- Soil organisms
- Terrestrial plants
- Terrestrial vertebrates (birds, mammals,etc.)
- Terrestrial invertebrates (insects, spiders, etc.)

## Ecological Receptors (cont)

- Agricultural products
- Row crops
- Livestock
- Commercial fishing
- Food chain concerns
- Recreational fishing
- Fruits and nuts
- Home gardens

## Results of Data SearchAP Acute Effects-Terrestrial

- Corn (growth)		 1-1000 ppm (effect)
- Cotton (seeds)		 55 g/sq.m. (effect)
- Ryegrass (seeds)	 55 g/sq.m. (effect)
- Soybean	(growth)	 1-1000 ppm (effect)
- Wheat
- seeds			0.1-1000 ppm (effect)
- growth			10 ppm (effect)

## Data on Other Perchlorates

- Potassium perchlorate
- Algae			79-360 ppm (effect)
- Protozoan		23-1117 ppm (effect)
- Daphnia		82-670 ppm (effect)
- Sodium perchlorate
- Fish			3000-7000 ppm (effect)
- Soybean		2.5-30 ppm (effect)

## Data on Other Perchlorates(cont)

- Nitronium perchlorate
- Fish			100-200 ppm (no effect)
- Squash, peanut,	1000 ppm (no effect)
-    corn

## Results of Data SearchChronic Effects 

- No data for effects of ammonium perchorate on terrestrial or aquatic plants and animals were found in the literature.
- Limited data for effects of potassium perchlorate were found in the literature
- Two studies on the thyroid of lampreys
- One study on growth and productivity of soybeans

## Problem

-   What appropriate species of animals and plants and what assays are appropriate to evaluate potential ecological effects from exposure to ammonium perchlorate?

## Proposed Screening Level Bioassays

## Contact

- Ron Porter
- Det 1, HSC/OEMH
- 2402 E Drive
- Brooks AFB, TX 78235-5114
- 210-536-6127     Fax 1130
- ronald.porter@guardian.brooks.af.mil
# Presentation: 476816

## Run6pp_62GeV_transverse run

**Hisham Albataineh : New Mexico State University**
**Han Liu : New Mexico State University**
**Ming Liu : Los Alamos National Laboratory**

## Run6pp_62GeV_transverse run

-  Total number of fills 11
-  Total number of runs 40
-  Three empty fills (8005, 8021, 8026)
-  Another short fill (8020 : 5 minutes)
-  Left with 7 fills with 30 runs
-  Two bad runs ( short runs, 3-5 minutes)
-  7 fills with 28 good runs

## SQRT formula:

Detector asymmetry:

Luminosity asymmetry:

- Detector asymmetry:
- Luminosity asymmetry:

## AN_xF_YB_G2

- Blue beam
- Yellow beam

- Only hadrons

## AN_xF_YB_G3

- Blue beam
- Yellow beam

- Only hadrons

## AN_xF_YB_G4

- Blue beam
- Yellow beam

- Muons and  hadrons

## AN_xF_YB_G234

- Blue beam
- Yellow beam

## DET_ASYMM_G2

- (N = 21963)

- DET_ASYMM_G3

- (N = 170326)

## DET_ASYMM_G4

- DET_ASYMM_G234

- (N = 541252)

- (N = 733541)

## LUM_ASYMM_G2

- LUM_ASYMM_G3

-  beam polarization : ( machine asymmetry): P↓ more than P↑

## LUM_ASYMM_G4

- LUM_ASYMM_G234

## PHYS_ASYMM_G2

- PHYS_ASYMM_G3

## PHYS_ASYMM_G4

- PHYS_ASYMM_G234

## AN_XF_G4

**0.00 < xF <** **0.05 , N= 67**
**0.05 ≤** **xF <** **0.10 , N= 81946**
**0.10 ≤ xF <** **0.15 , N= 101028**
**0.15 ≤ xF <** **0.30 , N= 36655**
**0.30 ≤** **xF <** **0.50 , N= 3292**

**- 0.05 <** **xF ≤**    **0.00 , N= 84**
**- 0.10 <** **xF ≤**  - **0.05 , N= 168273**
**- 0.15 <** **xF ≤**   -**0.10 , N= 107331**
**- 0.30 <** **xF ≤**  - **0.15 , N= 27980**
**- 0.50 <** **xF ≤**  - **0.30 , N= 4115**

## AN_XF_G3

**- 0.05 <** **xF ≤**    **0.00 , N= 303**
**- 0.10 <** **xF ≤**  - **0.05 , N= 73087**
**- 0.15 <** **xF ≤**   -**0.10 , N= 19402**
**- 0.30 <** **xF ≤**  - **0.15 , N= 7905**
**- 0.50 <** **xF ≤**  - **0.30 , N= 581**

**0.00 < xF <** **0.05 , N= 19**
**0.05 ≤** **xF <** **0.10 , N= 38501**
**0.10 ≤ xF <** **0.15 , N= 17477**
**0.15 ≤ xF <** **0.30 , N= 11627**
**0.30 ≤** **xF <** **0.50 , N= 602**

## To Do

- Calculate the relative luminosity
- AN using luminosity formula
- Open charm......

## Shuffle_positive_chargenxF

- Shuffle_positive_chargenxF

## Shuffle_negative_chargenxF

## Shuffle_positive_chargepxF

- Shuffle_positive_chargepxF

## Detector asymmetry

## Luminosity asymmetry

## Physics asymmetry

## Old pdst root file

- New pdst root file

- Polarization information

## Old pdst root file

- New pdst root file

- Polarization information
# Presentation: 695814

## Chemical annealing for improved stability

- Vikram Dalal

## Instability of a-Si

**Related to the presence of voids and multiply bonded Si-H, or many Si-H bonds in close proximity-eg at internal void surfaces (both have same signal in IR-2100 cm****-1****)[Recent work from Kondo-Matsuda group]**
**Original idea-Carlson-1986**
**Can we use CA to achieve the same aim?**

## LBL growth with chemical annealing

**Silane+He+**
**H flow**

**He+H flow**

-      **t****1**

**t****2**

- Vary t1 and t2
- Study the structure of films and devices

- Time

**Must keep **
**Thickness/layer**
**Small 15-30 A-**
**We will see why**

## Influence of H plasma on localized structure of Thin(3 nm)a-Si film ( Hirose group) 

**After H plasma treatment**

**H plasma changes the film structure significantly**

## Why thin Si layers for CA?

- Has to do with penetration of H ions
- SRIM program calculates penetration depth

## 10eV Hydrogen into Si

## 50 eV Hydrogen into Si

## SRIM predictions

- Low energy ions, eg 20 eV H, penetrate only about 20 A
- Higher energy (50 eV) about 40-50 A
- Typical ion energies < 50 eV
- Must keep thickness of layer being annealed small

## Growth parameters

**Remote ECR plasma-CVD growth**
**[Silane + Hydrogen] **
**[Silane = 3 sccm, Hydrogen= 42 sccm]                                          **
**    **
**T ~ 300-350 C**
**p = 10-15 mTorr**
**Growth rate ~ 1 ****Å/s**

## H2 CA and non CA devices-IV curves

**Very similar devices**

## H2 CA and non CA devices-QE

## Stability measurements

## FTIR data of H2 CA and non CA films-200 C growth

**CA improves H **
**Microstructure **
**and leads to better**
**stability**
# Presentation: 948276

## Status Update on Likelihood Soft Electron Tagger

- Harvard Group Meeting

## Finding Conversions

- Use 8 GeV electron sample
- Conversion finding algorithm ≡
- |sep|< 0.3 cm
- |Δcot(θ)| < 0.05
- CTVMFT fit converges
- For some distributions require conversion tracks point to two different calorimetry towers
- Taggable Track definition
- Fiducial to CES
- # COT Axial and Stereo hits ≥ 20
- |Z0| < 60 cm
- |Corrected d0|< 0.3
- |Z0 – Zvertex| < 5 cm
- At least 8 likelihood quantities available
- For now, remove trigger electron by cutting on PT (3 GeV, 7 GeV)

**Trigger Electron**

## Conversion Distributions

- B group has RMS for Δcot(θ) ~ 0.008
- Uses trigger electron as primary leg of conversion
- Look at distributions of associated conversion track
- Implementing this will improve our own distributions and efficiencies

**RMS = 0.0166**

## Radius of Conversion

- Expected COT conversion peak to be much higher
- Cutting on PT>15 GeV helps, but not quite what we were expecting

**COT inner cylinder**

## Signed D0

- Expect positive asymmetry for signed d0 in conversions
- Non-conversion asymmetry seems to suggest conversion finding method isn’t as efficient as we might like

**Conversions**

**Non-Conversions**

**Positive asymmetry**

- Tagging Efficiency (Likelihood > .995)

**Is decline correlated with Iso?**

**Nothing too strange in Eta or Z0 (compare to fake rate)**

## Fake Rate Issues

- Cutting hard on Likelihood (>.995) still results in a ~2% fake rate
- Fake rate ≡ tagged/taggable in jet50 data
- Taggable ≡ track extrapolates to CES + track quality cuts
- Run I had a fake rate ~ 0.5%
- Could be a problem with conversion removal
- Already fixed problem with 1-tower conversions not being flagged
- Electrons have likelihood that peaks at Likelihood=0 (a “feature” not seen in the B-group’s version)
- Strange fake distributions
- But taggable distributions and tag efficiencies look reasonable!
- Will check jet selection for bias in “bias removal”

## Fake Distributions

## The Next Step

- Implement method to look only at conversion legs associated with a trigger electron
- Should improve efficiency substantially
- Look at individual likelihoods
- Do distributions make sense?  Ask Sebastian.
- Perhaps this will lead to clues about fake rates
# Presentation: 374479

##  Second ASTWG Meeting January 15-16, 2001Customer SatisfactionData Analysis

- Prepared By:
- Jean Matkovich
- Customer Assurance & Analysis Office
- January 24, 2001

## Agenda

- Executive Summary
- Methodology
- Question Responses

## Executive Summary

**Current Meeting **
**(Jan 02)**
- Attendance: 145
- Survey Responses: 82
- Working Group Meeting
**95% Satisfied**
**1% Dissatisfied**
- Recommendation for Others to Join ASTWG
**98% Strongly Agree or Agree**
**0% Strongly Disagree or Disagree**

**Organizational Meeting **
**(May 01)**
- Attendance: 121
- Survey responses: 57
- Working Group Meeting
**88% Satisfied**
**3% Dissatisfied**
- Recommendation to Continue ASTWG
- 90% Strongly Agree or Agree
- 0% Strongly Disagree or Disagree

## Methodology

- Survey administered at the end of the Working Group Meeting (before ARTWG conference)

## Survey Respondents by Demographic Distribution

- Number of Survey Respondents

## Respondents Demographics

- 2. Are you actively supporting Spaceport Development?

- 3. Did you travel over a 100 miles to attend this working group?

## Question Responses

- Strongly				     Strongly Disagree           Disagree                  Neutral                /Agree               Agree

- Mean Agreement

- See survey data for specific questions

## Sub-Group Priority

- In terms of priority, which ASTWG sub-group areas do you believe are most important to focus on over the next two years?
# Presentation: 379423

## The World Water Crisis

- The World Water Crisis

- By Curtis B. Barrett
- _[Curt.barrett@noaa.gov](mailto:Curt.barrett@noaa.gov)_
- Director, International Activities
- National Weather Service
- Silver Spring, MD

## Four day loop Hurricane Mitch

##    World Water Crisis

- By 2010 over 50% of global runoff  claimed
- World population will increase up to 10 billion by 2050
- Water use competition is intensifying between Agriculture, domestic, industrial and energy
- Transboundry competition for water threatens international stability (About 50% of all river basins are transboundry and involve 85% of worlds freshwater)
- Polluted water, water shortages, and unsanitary conditions kill
- 12 million people per year
- Economic losses from weather related disasters have reached a record high- $92billion in 1998.

## Slide 4

## Slide 5

## Slide 6

## Slide 7

## Figure 2: Number of great natural catastrophes from 

- Figure 2: Number of great natural catastrophes from
- 1950–2001 (Source: Munich Re)

**Number**

**US$ bn **

- >167 bn US$

- Figure 1: World economic losses from 1950-2001 for great natural catastrophes (Source: Munich Re)
# Presentation: 758753

## Key Leader Orientation	

**Key Leader Orientation****	**

**5-1**

## Key Leader Orientation	

**Key Leader Orientation****	**

**5-2**

**Notes:**
Review flow chart.

## Obtain Key Leader commitment to the  Communities That Care process.

- Obtain Key Leader commitment to the  *Communities That **Care *process*.*

**Key Leader Orientation****	**

**5-3**

## Describe how Key Leaders support the Communities That Care  system.

- Describe how Key Leaders support the *Communities **That Care * system.
- Obtain Key Leader commitment to the *Communities **That Care *process.* *

**Key Leader Orientation****	**

**5-4**

## Commit to the process

- Engage other Key Leaders
- Establish the Community Board
- Oversee implementation of the *Communities That Care *system
- Educate the community about the *Communities **That Care *system

**Key Leader Orientation****	**

**5-5**

## Hold the Community Board accountable

- Build school-district support for the *Communities That Care* *Youth Survey*
- Provide access to community resources and information
- Support implementationof the Community Action Plan

**Key Leader Orientation****	**

**5-6**

## Key Leader Orientation	

**Key Leader Orientation****	**

**5-7**

## Think about what you learned at this orientation.

**Key Leader Orientation****	**

**5-8**

- Think about what you learned at this orientation.
- Think about your vision and goals for your community.
- Think about the skills you can bring to the effort.
- Complete the commitment form and return it to the Coordinator/Facilitator.

## Key Leader Orientation	

**Key Leader Orientation****	**

**5-9**

**Notes:**
Review flow chart.
# Presentation: 359446

## The Future of AIRNow

- How does AIRNow fit into the Future of Air Quality?

**Chet Wayland**
**EPA Office of Air Quality Planning & Standards**
- _[wayland.richard@epa.gov](mailto:wayland.richard@epa.gov)_

## “The future ain't what it used to be.” 

- _[Yogi ](http://www.quotationspage.com/quotes/Yogi_Berra/)__[Berra](http://www.quotationspage.com/quotes/Yogi_Berra/)_*US baseball player, coach, & manager (1925 - )*

## Multi-Pollutant, Voluntary, and Outreach Programs

## Slide 4

## “The best way to predict the future 

***is to invent it”. ***
- _[Alan Kay](http://www.quotationspage.com/quotes/Alan_Kay/)_

## AIRNow Connects the Pieces of the Puzzle

**Communication**

**Real-Time Data**
**and Forecasts**

**Action Day **
**Programs**

**Health Effects**
**Information**

***Clean Air & ***
***Better Health***

## AIRNow’s Top 5

- AQI Toolkit
- AQI Maps
- AIRNow Gateway
- National Forecast Capability
- EnviroFlash

## AQI Toolkit

**Ready-to-use presentations**
**CD-ROM**
**Overheads**
**Targeted Audiences**
**Grades 3-5**
**Grades 6-8**
**Civic Groups**
**Materials to leave with teachers**
**Spring ’06 release**

## AQI Maps

## AIRNow Gateway

## National Forecast Capability

## EnviroFlash

**~ 500K daily emails sent in ‘05**

## EnviroFlash ’06 Plans

- Move to zip code based system (May ’06)
- Users request AQI forecast info based on zip code
- S/L/T agencies define coverages
- Incorporate real-time data into system
- Allow for real-time notification by email
- S/L/T agencies define coverages
- Include ozone and PM2.5
- Targeting mid-summer/early fall 2006

## “I want to let you know how wonderful this service is.  My husband has stage IV lung/brain cancer.  It never occurred to me that the air quality could be so dangerous in the winter (I only knew about the cold and dry).  Because of your e-mails we were able to plan his appointments and time outside around those bad days.

***  ******Now, the other interesting part of this is that I have asthma and, truthfully, I haven't been taking very good care of myself.  I haven't been taking my meds like I should.  During that alert time, I should have increased my inhalers too but forgot.  By this past Sunday, I was in a little trouble with my breathing--I actually thought I was coming down with a cold but then I realized your messages were meant for me also.  I upped my meds (like I'm supposed to when I'm in trouble) and today I'm much better.  ***
***  ******I know this is an experimental program--I've got to tell you it worked for me.  From now on I'm going to respond to your warnings, not only for my husband but for me too.***
***  ******Thanks for providing this service.” --  Kathy Barney***
# Presentation: 262531

## “Land Use / Land Cover Change Detection for Central American Carbon Management”

- “Land Use / Land Cover Change Detection for Central American Carbon Management”

**SIAM-SERVIR Workshop II**
**Ciudad del Saber, Panam****á**
**October 17-21, 2005**
**Jason A. Tullis, Ph.D.**
**John M. Wilson, M.S.**
**Center for Advanced Spatial Technologies**
**University of Arkansas**

## October 17th, 2005

*8:30-9:30 *Overview
- Welcome and Introductions
- Overview by Dan Irwin, SERVIR Project Manager, NASA Marshall Space Flight Center
- Workshop FTP Site
- _[ftp://ftp.cast.uark.edu/outgoing/tullis/MesoClass/](ftp://ftp.cast.uark.edu/outgoing/tullis/MesoClass/)_
*9:30-10:15* Principles of Remote Sensing
*10:30-11:00* Carbon Management
- Steve Ogle, Colorado State University
*11:00-11:30* Software Installation in Workshop Lab
*11:30-12:00* Remote Sensor Data Management
*13:00-13:45* MesoStor
*13:45-14:15* Shuttle Radar Topography Mission (SRTM) 2000 Digital Elevation Models (DEMs)
*14:15-15:00 *Introduction to ArcGIS 9.1 ModelBuilder
*15:15-16:15 *Introduction to ArcGIS 9.1 ModelBuilder, cont.

## October 18th, 2005

*8:30-8:45 *Goal for Workshop
- Note updated “schedule.ppt” file on workshop FTP site:
- _[ftp://ftp.cast.uark.edu/outgoing/tullis/MesoClass/](ftp://ftp.cast.uark.edu/outgoing/tullis/MesoClass/)_
*8:45-10:15* Optional Introduction to ArcGIS 9.1
*10:30-11:00* Optional Introduction to ArcGIS 9.1
*11:00-12:00* Introduction to ArcGIS 9.1 ModelBuilder, cont.
*13-13:30* Visit to CATHALAC and Photo
*13:45-15:00* Landsat-derived 1990 and 2000 Land Cover from Earth Satellite Corporation
*15:15-16:00* Manipulation of Multi-raster Displays in ArcGIS 9.1
*16:00-16:15* Introduction to MODIS and MesoClass

## Goal for Workshop

- 2000

- 1990

- 2004

- 2003

- MODIS-based

- LANDSAT-based

- LANDSAT-based maps are complete

- MODIS-based maps are *not *completed

- 2000

**A major workshop goal is to make this transition by using MesoClass to classify 2000 MODIS-based land-cover for Central America**

## October 19th, 2005

*8:30-8:45 *Overview
- Note updated “schedule.ppt” file on workshop FTP site:
- _[ftp://ftp.cast.uark.edu/outgoing/tullis/MesoClass/](ftp://ftp.cast.uark.edu/outgoing/tullis/MesoClass/)_
- ModelBuilder and MODIS Classification Background
*8:45-10:15* Techniques in Thematic Information Extraction
*10:30-11:00* MODIS Data Processing
*11:00-12:00* Manipulation of Multiple Remote Sensor and Ancillary Datasets in ArcGIS 9.1
*13:00-13:15* MesoClass Classification Schema
*13:15-15:00* MesoClass – Group Unsupervised Classification
*15:15-16:15* MesoClass – Group Unsupervised Classification, cont.

## October 20th-21st, 2005

- Techniques in Thematic Change Detection
*MesoClass*, cont.
- Reference Datasets
- Accuracy Assessment
*MesoClass *Refinement with GIS Modeling