BEE-spoke-data/govdocs1-by-extension huggingface dataset:
# Presentation: 665450

## QUALITY ASSURANCE/QUALITY CONTROLANALYSIS

- SOUTHERN RESEARCH STATION
- FY 2004
- October 1 – March 31, 2004

## CHECK PLOT COUNTS – ALL STATES AND FEDSTOTAL NUMBER OF CHECK PLOTS – 788FY 2004

## CHECK PLOT COUNTS – ALABAMATOTAL NUMBER OF CHECK PLOTS – 91FY 2004

## CHECK PLOT COUNTS – ARKANSASTOTAL NUMBER OF CHECK PLOTS – 53FY 2004

## CHECK PLOT COUNTS – FLORIDATOTAL NUMBER OF CHECK PLOTS – 62FY 2004

## CHECK PLOT COUNTS – GEORGIATOTAL NUMBER OF CHECK PLOTS – 67FY 2004

## CHECK PLOT COUNTS – KENTUCKYTOTAL NUMBER OF CHECK PLOTS – 62FY 2004

## CHECK PLOT COUNTS – LOUISIANATOTAL NUMBER OF CHECK PLOTS – 73FY 2004

## CHECK PLOT COUNTS – NORTH CAROLINATOTAL NUMBER OF CHECK PLOTS – 76FY 2004

## CHECK PLOT COUNTS – SOUTH CAROLINATOTAL NUMBER OF CHECK PLOTS – 53FY 2004

## CHECK PLOT COUNTS – TENNESSEETOTAL NUMBER OF CHECK PLOTS – 66FY 2004

## CHECK PLOT COUNTS – TEXASTOTAL NUMBER OF CHECK PLOTS – 90FY 2004

## CHECK PLOT COUNTS – VIRGINIATOTAL NUMBER OF CHECK PLOTS – 47FY 2004

## CHECK PLOT COUNTS – FOREST SERVICETOTAL NUMBER OF CHECK PLOTS – 48FY-2004

## TOTAL CHECK PLOT COUNTOctober 1-March 31, 2004

- AFFECTED BY:
- NUMBER OF QA/FIELD SUPPORT PERSONNEL IN EACH STATE
- NUMBER OF TRAINING SESSIONS/DETAILS/LEAVE
- NUMBER OF START-UP/2.0 MANUAL SESSIONS
- TOTAL NUMBER OF EXPERIENCED/TRAINED QA/FIELD SUPPORT PERSONNEL AVAILABLE
- AMOUNT OF TIME TO DO DIFFERENT TYPES OF CHECKPLOTS
- TIME SPENT ON FIRE/FIRE TRAINING
- TIME WORKED IN TEXAS

## CHECK PLOT TYPE – ALL STATES AND FEDSTOTAL NUMBER OF CHECK PLOTS – 788FY 2004

## CHECK PLOT TYPE – ALABAMATOTAL NUMBER OF CHECK PLOTS – 91FY 2004

## CHECK PLOT TYPE – ARKANSASTOTAL NUMBER OF CHECK PLOTS – 53FY 2004

## CHECK PLOT TYPE – FLORIDATOTAL NUMBER OF CHECK PLOTS – 62FY 2004

## CHECK PLOT TYPE – GEORGIATOTAL NUMBER OF CHECK PLOTS – 67FY 2004

## CHECK PLOT TYPE – KENTUCKYTOTAL NUMBER OF CHECK PLOTS – 62FY 2004

## CHECK PLOT TYPE – LOUISIANATOTAL NUMBER OF CHECK PLOTS – 73FY 2004

## CHECK PLOT TYPE – NORTH CAROLINATOTAL NUMBER OF CHECK PLOTS – 76FY 2004

## CHECK PLOT TYPE – SOUTH CAROLINATOTAL NUMBER OF CHECK PLOTS – 53  FY 2004

## CHECK PLOT TYPE – TENNESSEETOTAL NUMBER OF CHECK PLOTS – 66FY 2004

## CHECK PLOT TYPE – TEXASTOTAL NUMBER OF CHECK PLOTS – 90FY 2004

## CHECK PLOT TYPE – VIRGINIATOTAL NUMBER OF CHECK PLOTS – 47FY 2004

## CHECK PLOT TYPE – FOREST SERVICETOTAL NUMBER OF CHECK PLOTS – 48FY 2004

## CHECK PLOT TYPE 

- AFFECTED BY:
- NUMBER OF QA/FIELD SUPPORT PERSONNEL IN EACH STATE
- DATA CREDIBILITY – ALL PLOTS ARE AVAILABLE FOR CHECKING
- TRAINING NEEDS OF INDIVIDUAL STATES
- TOTAL NUMBER OF EXPERIENCED/TRAINED QA/FIELD SUPPORT PERSONNEL AVAILABLE

## AVERAGE CHECK PLOT SCORES BETWEEN STATESFY 2004
# Presentation: 784292

## Review of Energy Trends in Bhutan: The U.S. Perspective

- Dr. Mark Rodekohr
- June 2002
- EIA/SARI Workshop #2
- Kathmandu, Nepal

## Economic Growth and Energy Demand Growth, 1988 - 1999

**Petroleum (0.9%)**

**Natural Gas (1.7%)**

**Electricity (2.9%)**

**Electricity (19.1%)**

**Petroleum (8.2%)**

- United States

- Bhutan

- 5.7% / year

- 3.0% / year

## Bhutan Per Capita Energy Demand Indices

**Petroleum**

**Electricity**

**Natural Gas**

## Bhutan Energy Demand Trends

-  High growth rate in electricity demand.
-  Growth in petroleum demand likely to be transportation related.
-  There are likely to be some problems with the data.  Many of the data points are estimated.

## Bhutan Petroleum Demand per Capita

**Notes:**
U.S. per capita natural gas demand = 76,000 cu feet per year

## Demand for Petroleum Products

**Function of:**
-  Motor Vehicle Fuel Efficiency
-  Motorization - Number of Vehicles
-  Miles Traveled per Vehicle
-  Demand for other products such as LPG

## Bhutan Electricity Demand per Capita

**Notes:**
U.S. per capita natural gas demand = 76,000 cu feet per year

## Bhutan Hydro Generation

## Bhutan Hydro Exports

## Appendix: Some Simple Forecasting Models

## A Simple Bhutan Demand Model

- Variables:
**Demand** = total annual average energy demand (Quad Btu)
**GDP** = real GDP (billion $, 1990 basis)

## Bhutan Total Energy DemandRegression Model 

- Demand = -0.00314 + .0207  GDP
- 				N = 19	R2 = 0.87

## Bhutan Petroleum Demand(GDP assumed to grow 5.7% per Year)

**Forecast**

**Predicted**

**Actual**

**Demand = 3.675 + 0.0804 ******** GDP - 0.412 ******** Price **

- Forecast

- Forecast

## Bhutan Electricity DemandRegression Model

- Demand = -0.1532 + 0.875  GDP
- 				N = 19	R2 = 0.53

## Bhutan Electricity Demand(GDP assumed to grow 5.7% per Year)

- Forecast

- Forecast
# Presentation: 424353

## Monsoon Onset Dates 

- on the
- Tohono O'odham Nation

- Josef Marlow
- Tohono O'odham Community College

## Develop local (TON) monsoon onset dates for climatology

## North American monsoon system

- 	regional atmospheric circulation over sw NAm in JJAS
-     500 mb subtropical ridge moves northward into TX & NM
- 	Winds shift from westerly to southerly & easterly, causing 	an influx of moisture
-     Thermal low and “Gulf surges” also important sources of 		moisture
- 	Moisture influx leads to convection and precipitation
- 	Areas along the W coast of mainland Mx between SMO 		and coast receive 60-70+% of annual precip during 			monsoon, TON receives 50%
-     SW AZ on northern fringe of NAMS → variability

## Onset Criteria for NAMS

- _Ellis et al (2004)_ –  3-day, area avg. dew point temp (50°F) and measureable precip (20% of reporting stations), 1st day
- _Xeng & Lu (2004)_ – 3-day, normalized precipitable H2O index > 0.618 in 7 of 9 centered 1°x1° grid cells, 1st day
- _Higgins et al (1997)_ -  3-day, area avg. precip.>0.5mm, 3rd day
- _NWS TFO_- 3-day, 54°F avg. dew point temp., one station, 1st day
- _NWS PFO_- 3-day, 55°F avg. dew point temp., one station, 1st day

## Data

- NCEP North American Regional Reanalysis (NARR) – daily dataset, 32km grid cells, 1979-2002, data from DVD
- Surface precipitation, temp. at 2m, rel. hum. at 2m
- NOAA CPC (Climate Prediction Center) -  0.25°x0.25° Daily U.S. Unified Precipitation Data, 1979-2002
- Only U.S. coverage
-  NOAA NCDC (National Climatic Data Center) - U.S. Summary of Day, Dew Point Temperature, 1994-2002
-  1°x1°  bins of surface meteorological station data

## Slide 6

## Slide 7

## Slide 8

## Method for determining monsoon onset date

- calculate precipitation index = daily area average precipitation
- Precipitation index threshold = 0.5 mm/d
- Monsoon onset date is the first date the threshold is met or exceeded for 3 consecutive days after June 1

## Slide 10

## Slide 11

## TON Monsoon Onset Dates Calculated from NARR

**TON Monsoon Onset Dates Calculated from NARR**

## Slide 13

## Comparison of NARR and CPC Onset Dates for TON

## Red = CPC		Green = NWSTFO		Blue = NARR

- Red = CPC		Green = NWSTFO		Blue = NARR

## Slide 16

## Summary

- TON monsoon onset dates determined using precipitation index and 3-day threshold
- First day of 3-day period would be improvement
- Helpful to use dew point temperature to eliminate “early precipitation events” not related to monsoon, especially in larger area
- Would be useful to have dew point temp. in daily NARR dataset
- TON onset dates were used to prepare onset +/- 60 day datasets for climatology study
# Presentation: 470987

## Panel: System Architecture: Near, Medium and Long-term Scalable ArchitecturesCSRI Workshop: When MPI-only is not enough

- Douglas Doerfler
- Sandia National Labs
- Scalable Architectures Group
- dwdoerf@sandia.gov

## System Architecture Issues

- Power - 2nd order - Medium/Long
- Engineering Issue, not programming model
- Low hanging fruit: Line to Machine
- New Architectures - 2nd order - Medium/Long
- Higher radix router trends
- Scalability - 2nd order - Medium/Long
- Application: Don’t do something w/o a scalable solution
- Programming Model - 2nd order - Long
- Will the model ever drive the architecture?
- Resiliency - 1st order - Near/Medium
- All the above really doesn’t matter if your job only lasts 10 minutes
# Presentation: 191808

***CORE PURPOSE***

***ASSUMPTIONS***

***DESCRIPTION OF THE FUTURE***

***CHALLENGES***

*• **Commitment*
* **Partnerships*

*• **Leveraging off each other’s efforts*

*• **Integrate & balance*
* **Communicate & demonstrate our value*

*• **Agency cooperation & collaboration*
* **Congressional interest & support*

*• **Application driven*
* **Guided by customer needs*

- To promote the efficient and effective development and application of ocean and coastal mapping to support informed decision-making.

- • Federal bureaucracy & agency buy-in
- • Cultural & language differences
- • Funding
- • Change is hard

- • Long-term sustainable programs that support our scientific missions & programs
- • A significant increase in the pace of coastal & sea-floor mapping through through federal-state cooperation & partnerships to meet public needs.
-  One stop data discovery
- • Mapping is seen as a critical tool for informed decision-making
- • Map Once - use & fuse many times!
-  Increasing stewardship for the ocean environment

- • The National OCM Community is a powerful force in advancing national ocean & coastal mapping.
- • NO NEW Funding within the next 3 - 5 years

- •	Communication
- Coordination
- •	Collaboration
- Community efforts will result in more, better mapping

- •	Each agency and organization is dedicated to its own mission and the work to achieve that mission.
- •	We are committed to working together to leverage resources, share expertise, avoid duplication and achieve better results.

***IOCM Community VISION***

***I  MODEL OF SUCCESS***

***II  TOOL DEVELOPMENT***

***III  COMMUNITY BUILDING***

***Describe a scalable project-oriented model that demonstrates the benefit of an integrated coastal and ocean mapping program***

***Identify tools required to promote the development & application of ocean & coastal mapping to support decision-making***

***Increase awareness, build advocacy & support implementation of IOCM***

- VISION THEMES

- VALUES/ GUIDING PRINCIPLES

-  *Emerging technologies*

-  *Standards for interoperability*
# Presentation: 113867

## The Hurricane Brett Experience Ismael Soto, P.E. Texas Dept. of Transportation Corpus Christi District

## Background

- _Texas Coastal Bend_
- Population: 400,000
- Evacuation time: ~ 29 hrs                                           ---(Category 5 Hurricane)

## Pre-Hurricane Brett

**Hurricane Allen - 1980**
**TxDOT in process of completing IH-37 connecting Corpus Christi and San Antonio**
**Interstate completed**
**Hurricane Gilbert****	****- 1989**
** ****IH-37 / US 77 Interchange completed**
**Included $1.7 m Contra-flow Transition Area**

## Hurricane BrettLandfall 4:00 p.m.,  Sunday, August 22, 1999

- Saturday morning** **
- Category 2
- Destination: Central Mexico
- Saturday evening
- Category 4
- Destination: Texas Coastal Bend

- 3-5 hour average delay exiting Corpus Christi to       San Antonio (normal drive 2-1/2 hours)
- Population evacuated was 28%
- Contra-flow was not implemented

## Post Hurricane Brett

- Development of region wide Hurricane Evacuation Committee to study the IH-37 Contra-flow issue
- Texas Transportation Institute (TTI) modeled 14 alternatives using CORSIM
- Consensus was plan to Contra-flow 90 miles of IH-37
- Estimates show Contra-flow would increase capacity by 50% (Equivalent capacity of adding one additional lane at a cost of $75-100 million)

## Questions ?
# Presentation: 683647

## ATD Research Needs and Priorities

- J.A. Mitchell
- US Nuclear Regulatory Commission
- June 19, 2003
- 7th GMU Workshop

## Address Two of the Four Questions

- Do we sufficiently understand the requirements to prioritize the research needs?
- How do we best coordinate and collaborate on our research needs?

## Requirements

- An OFCM Joint Action Group considered three periods:
-  Pre-event planning
-  Real-time response and mitigation
-  Post-event assessment and recovery
- Different needs for the different time periods
-  Speed of input and execution
-  Contained detail

## Requirements

- For planning, ranges of possibilities must be considered
-  More detail allowable
-  Longer runtimes not important, except if it reduces the size of the range considered
-  Ranges of source terms, weather, locations, population distributions

## Requirements

- For response, time is of the essence
- Decisionmaking for evacuation and sheltering
-  Source term is often unknown (reactor accidents the exception)
-  Cannot require lots of, or unavailable, input
-  Run times must be minutes

## Requirements

- In the aftermath, there will be questions:
-  What was my exposure?
-  Are you absolutely sure that I did not receive an exposure?
- Need knowledge about, and models for, local effects
- Experts should include as many of the various effects as are within the state of computational art

## Who Should Decide?

- Modelers should be involved in decisions about how much detail is to be included in the models
- OFCM could coordinate the development of aftermath models
- Increase in effectiveness and efficiency
- Decisionmakers must be involved in deciding about fast-running codes
- Which way do they want a code to fail?  Too high or too low?  Too wide or too narrow?

## Research Needs as Determined by JAG

- Source characterization
- Chemical mixtures
- Hazardous source collaboration and coordination
- Limits of predictability
- Measurement strategies
- Urban canopy characterization and dispersion
- Planetary boundary layer

## More Research

- PBL modeling errors
- Costal influences
- Concentration variability
- Deposition rates
- Resuspension
- Cross-media interactions (food chain)
- Chronic health effects

## And Even More

- Complex terrain
- Indoor-outdoor interactions
- Nocturnal boundary layer
- Land surface models (moisture diurnal cycle effects)
# Presentation: 512854

## This presentation is for illustrative and general educational purposes only and is not intended to substitute for the official MSHA Investigation Report analysis nor is it intended to provide the sole foundation, if any, for any related enforcement actions. 

## GENERAL INFORMATION

- Operator:		Kingwood Mining Company LLC
- Mine:		Whitetail Kittanning Mine
- Accident Date:	October 20, 2006
- Classification: 	Fall of Face, Rib, Pillar, or Highwall
- Location: 		Dist. 3, Preston County, West Virginia
- Mine Type: 	Underground Coal Mine
- Employment:	285
- Production:	12,000 Tons/Day

## ACCIDENT DESCRIPTION

- On October 20, 2006, at approximately 2:20 p.m., a 49 year old continuous mining machine operator, was fatally injured when he was struck by a rib roll and pinned against a shuttle car. The accident occurred as the victim was using the remotely controlled continuous miner to clean up the second cut in the number 40 crosscut between the number 5 and 6 entries on the East Section. The fallen coal-rock rib measured approximately 8 1⁄2 feet long, 4 feet high and 4 feet thick. The height in the area of the accident is approximately 102 inches from the mine floor to the existing mine roof.

## ROOT CAUSE ANALYSIS

_*Root Cause*_: Standards, policies or administrative controls were not in place to identify and address corrective action for the hazard which caused the fatality. This was primarily due to the fact that the geologic features identified did not project beyond the accident site. Although similar geologic features were identified by an experienced engineer/geologist within a 1500 foot traverse of the face area, these conditions would have been difficult to recognize without additional specialized training.
_*Corrective Action*_: Requisite examinations of the section were conducted which did not detect the slickensided planes. The planes were most likely not recognized due to the condition being isolated. Management has instituted policies providing hazard recognition training of angle slip planes to all underground examiners and employees and if these conditions are found they are to be removed or controlled.

## BEST PRACTICES
Conduct thorough preshift, onshift and workplace examinations to identify hazards involving roof or coal ribs. 
Always pull down or support coal ribs that are unstable. 
Train miners to identify slip planes and other unsafe conditions pertaining to coal ribs. 
Always be alert for geological changes so that slip planes, kettle bottoms, horsebacks, or slicken sides can be detected. 

- Conduct thorough preshift, onshift and workplace examinations to identify hazards involving roof or coal ribs.
- Always pull down or support coal ribs that are unstable.
- Train miners to identify slip planes and other unsafe conditions pertaining to coal ribs.
- Always be alert for geological changes so that slip planes, kettle bottoms, horsebacks, or slicken sides can be detected.
# Presentation: 071707

## NASA’s GMSEC VCR

**At A Glance**
- The GMSEC VCR is a Windows-based tool for recording and playing back published messages on the GMSEC message bus.

**Benefits**
- Easy to install and use
- Easy recording and playing back of messages on GMSEC message bus
- Extremely helpful in debugging and simulations
- Can act as a simulator

**Implementation **
- The GMSEC VCR is a Microsoft Windows application, built using the Delphi wrapper of the GMSEC API.  It divides the VCR file into separate messages for each GMSEC Component, using the GMSEC-standard "Node" and "Component" fields to identify a component. Each GMSEC Component is one horizontal bar chart in the GMSEC VCR, where time is on the horizontal axis.  Each bar at a particular time reflects at least one message that was recorded at that time.  If more than one message was recorded at that time, the bar is higher.  The VCR allow users to turn off GMSEC Components’ messages being played back (or saved as a subset) by checking or unchecking the pane that contains that component’s bar chart.

**Features**
- Records all  published GMSEC Messages on the bus to disk.  Recorded sessions may be played back to the message bus from within the VCR or GMSEC Symphony playlist
- Can play back all GMSEC components’ messages or only a subset of GMSEC components
- Can Start, Stop, Pause, Step Forward, Step Backward, and Jump around in GMSEC VCR File
- Provides an Editor for adding, editing, and deleting messages

**NASA’s GMSEC VCR**
**Summary**
- The GMSEC VCR is a Windows-based tool for recording and playing back published messages (both publish and request) on the GMSEC message bus.  The GMSEC VCR monitors GMSEC message bus traffic and has the ability to save messages to an XML log file.  The VCR can in turn read this xml log file to play the messages back through the message bus.  The VCR sends messages as they are received so it can spoof being the original sending component.  This tool is useful for debugging purposes as well as creating message macros and simulations.

**NASA GSFC Mission Services Evolution Center, Code 581**
**Greenbelt, Maryland  20771**
- _[http://](http://gmsec.gsfc.nasa.gov/)__[gmsec.gsfc.nasa.gov](http://gmsec.gsfc.nasa.gov/)_
**email:  **gmsec@nasa.gov

***GMSEC VCR User Interface***

**Message Bus****Middleware**
# Presentation: 475937

## Slide 1

## In Compliance?

- Guarded?

- Unguarded?

## REAR VIEW OF A BEAM SAW

## BUMP or END SANDER

## BUMP or END SANDER

## BUMP or END SANDER

## Lathe

## BENCH GRINDER

## Bench Grinder

## Wire Wheel

## BENCH GRINDER

## ROLL FORMER

## MULTI SPINDLE SERATOR

## DRILL PRESS

## MULTI HEAD DRILL PRESS

## Homemade Drill

## Press Brake

## AMADA Press Brakes

## AMADA Press Brakes

## Shear

## Plastic Shear

## Plastic Shear

## SHEAR

## Band Saw

## Band Saw

## Band Saw

**Band Saw**

## Band Saw

## Band Saw

## Lathe

## Belt Sander

## Generator

## Punch Press

## Punch Press

## Swing Dado

## Conveyor

## Conveyor

## Table Saw
# Presentation: 740399

## Influence of different management practices  on community structure of forest-floor invertebrates in  Santee Forest

- TOMASZ SKALSKI
*JAGIELLONIAN UNIVERSITY*
*KRAKOW, POLAND*

## Prescribed fire

- To restore ecosystem health
- To increase demand of forest productivity
- To minimize the environmental impact of timber removal
- To protect unique communities

## Importance of invertebrates

- In the 1990s the concept of biodiversity became internationally accepted and invertebrates  were treated as essential component of ecologically sustainable forest management.

## Examples:

- In Mediterranean forests, just one species of millipede, *Glomeris marginata*, can  consume as much as 8 to 11% of the annual leaf litter fall (Bertrand et al., 1987).
*Cylindroiulus nitidus*, in an oak forest in southern France was estimated to consume as much as 10 to 14 g litter per square meter yearly, also a substantial amount (David, 1987).

## Effect of fires on invertebrate communities

- Diversity and evennes were reduced
- Burned communities were more similar
- Burning significantly reduced the number of predators and increased number of detritivores
- Response to burning seems to be species specific (dispersal power, resistance)
- Slow recovery rate after burning

## Objectives

- How thining and burning treatments altered soil invertebrate community structure and organization.
- Which method of management is more suitable for sustainable management in wetland forest ecosystems.

## Long-term resilience of forest ecosystems to burning

- Are ecosystem altered by fire in equilibrioum state

- Stability domains are dynamic and variable

## Slide 8

## Slide 9

## A1

## P4

## C3

## Sample design

**Sample design**

## Size‐classified major groups of soil invertebrates.

## Morphospecies approach

- Oliver, I. and Beattie, A.J. (1996) Invertebrate morphospecies as
- surrogates for species: A case study. Conserv. Biol. 10, 99–109.

## Community structure parameters

- Abundance
- Biomass
- Richness
- Species diversity and eveness
- Similarity
- Functional diversity (predators, detritivores,omnivores, herbivores)

## Soil variables:

- Aboveground biomass
- Forest floor mass
- C and N pools
- Litterfall
- Soil CO2 flux
- Treatement

- Soil
- Community
- Structure
- parameters

- Direct Gradient Analysis (RDA, CCA),Foreward selection,
- Monte Carlo Permutation test

## ?

*?*
# Presentation: 702575

## Emergence of Quasi-Long-Range Order below the Bragg Glass Transition

**Emergence of Quasi-Long-Range Order below the Bragg Glass Transition**

**N. D. Daniilidis, S. R. Park, I. K. Dimitrov, J.W. Lynn, and X. S. Ling, Phys. Rev. Lett. (2007, accepted).**
**N. D. Daniilidis, I. K. Dimitrov, and X. S. Ling, J. Appl. Cryst. (2007, accepted).**

- Bragg glass is a novel state of vortex matter which exhibits Bragg peaks yet it is not a real crystal with true long-range order.  What it does have is quasi-long-range order. This experiment was designed to examine how a Bragg glass is formed in a type-II superconductor Nb.  The experiment is to measure the Bragg peak (top) intensity as a function of the angle between the magnetic field and the neutron beam.  Our results (thermal hysteresis shown in mid panel) suggest a nucleation-and-growth mechanism, characteristic of a first-order phase transition.

## Education

- The project provided educational opportunities to Ivo Dimitrov and Nikos Daniilidis.
- Here the PI is congratulating them both for successfully completing their Ph.D. degrees.

- Ivo Dimitrov, Ph.D.’07
- Nikolaos Daniilidis, Ph.D.’08

**Xinsheng Sean Ling, Brown University, DMR 0406626**
# Presentation: 139597

## Module 7 Objectives:

***Module 7 Objectives:***

**1.  Match responsibility statements to each ICS organizational element.**
**2.  List the ICS positions which may include deputies, and describe deputy roles and responsibilities.  Describe differences between deputies and assistants.**
**3.  Describe ICS reporting and working relationships for Technical Specialists and Agency Representatives.**
**4.  Describe reporting relationships and information flow within the organization.**

**07-01-I300-SL**

## FUNCTIONAL AREA PRESENTATIONS DISCUSSION QUESTIONS

***FUNCTIONAL AREA PRESENTATIONS DISCUSSION QUESTIONS***

**Describe the primary responsibilities for the assigned area under this scenario. **
**Identify which positions within this functional area would have deputies and assistants and explain why.**
**Develop an example to show the reporting relationships between functional areas and other areas within the organization.  Show both command and information flow relationships.**
**Name other parts of the ICS organization that this area deals with extensively and describe their purposes.**
**Describe what Technical Specialists and Agency Representatives might be used to support this function.  Discuss the work role of at least one Technical Specialist in the application area of your choice.**

**07-02-I300-SL**
# Presentation: 493987

## Current NIDCD Areas of Space-Related Health Research

_**Sensory**_: transduction (angular & linear motion); neural coding (single unit & population); central integration (vestibular-visual-proprioceptive); genes, development & aging; vestibular prostheses
_**Motor**_: vestibulo-motor static & dynamic function (gaze, head, balance, posture, locomotion); vestibulo-autonomic (ANS) interactions
_**Spatial orientation & cognition**_: motion and simulator sickness; adaptation & compensation for lost vestibular input; age-related deficits

***Presenter:  Dr. James F. Battey                ***
***Agency/Organization:  NIDCD / NIH***

## Promising Areas for Space-Related Health Research Collaborations

_**Vestibular adaptation & compensation to loss**_, mechanisms & pathways, including cerebellum
_**Prosthetic technologies**_ for balance, including electrical vestibular stimulation and sensory substitution devices

## Existing Resources to Facilitate Space-Related Health Research

_**Human centrifuge**_ facilities (academic? NASA? DoD?)
_**Virtual environments**_ for multisensory immersion (academic? NASA? DoD?)
_**True microgravity resources**_ (NASA KC-135; NASA Space Shuttle, NASA ISS)
# Presentation: 740682

## A PROGRESS REPORT ON CDC EFFORTS TO ESTABLISH A COMPREHENSIVE PEDIATRIC VACCINE STOCKPILE

- A PRESENTATION TO NVAC
- JUNE 3, 2003

**Dean Mason**
**Chief, Program Support Branch**
**NIP/ISD**

## BACKGROUND & RATIONALE

- NIP has contracted for a limited number of stockpile vaccines since 1983
- In CY 2001-2002 the U.S. experienced unprecedented shortages in the supply of many vaccines including: DTaP, Td, MMR, PCV-7 and Varicella
- Widespread support for pediatric vaccine stockpile build-up includes recommendations from NVAC, IOM and GAO.
- OBRA legislation (1993) gives authority to the HHS Secretary to establish or add to stockpiles those vaccines included in the VFC program

## A STRATEGIC PLAN FOR VACCINE STOCKPILE DEVELOPMENT

- Logistics Management Institute (LMI) was hired on April 28, 2003 as the contractor for strategic plan development
- NIP’s initial meeting with LMI was held on May 12, 2003
- LMI has submitted a Project Plan to NIP and is in the process of meeting with vaccine manufacturers and other stakeholders
- LMI met with NVAC members on May 27, 2003 to obtain their input
- A strategic plan for stockpile development is to be submitted by LMI to NIP by July 28, 2003

## CDC’s Current and Projected Vaccine Stockpile LevelsJune 3, 2003 1

**1** This table is subject to change based on strategic planning and ACIP schedule recommendations
**2** OPV will only be used in an outbreak situation

| Vaccine | Six Month Goal (doses) | Doses now in Stockpile | Doses Purchased Awaiting Delivery | Doses to be Purchased |
| --- | --- | --- | --- | --- |
| DT (pedi) | 150,000 | 150,000 | 0 | 0 |
| DTaP | 10,000,000 | 0 | 0 | 10,000,000 |
| EIPV | 8,000,000 | 3,655,000 | 4,345,000 | 0 |
| Hep A | 4,000,000 | 0 |  0 | 4,000,000 |
| Hep B | 6,000,000 | 0 | 0 | 6,000,000 |
| HIB | 8,000,000 | 0 | 0 | 8,000,000 |
| MMR | 4,000,000 | 3,451,010 | 548,990 | 0 |
| OPV 2 | 4,000,000 | 0 | 0 | 4,000,000 |
| PCV | 8,000,000 | 0 | 0 | 8,000,000 |
| Varicella | 2,000,000 | 271,980 | 1,300,000 | 428,020 |

## VFC Stockpile Budget and ObligationsFY 2001-2006Prepared on: June 3, 2003

**Dollars**
**(millions)**

## An Update on Planning for an OPV Stockpile

- NVAC/ACIP has established a joint working group to develop guidelines for stockpiling polio vaccine for use in an outbreak situation.
- NIP is represented on that working group.
- NIP suspended its plan for a new solicitation pending recommendations of the NVAC/ACIP working group.
# Presentation: 736688

## Haibin ZhangBrookhaven National Laboratory

** ****Open Charm Production at STAR**

- 1

***for***

**The STAR Collaboration**

## Outline

- 2

- Motivations

- D0, D*±, D± open charm measurement in d+Au collisions

- Single electron spectra in p+p and d+Au collisions

- Charm cross sections

- Open charm pT spectrum and theoretical comparisons

- Summary

## Motivation (I)

- Charm quark mostly produced
- from the initial fusion of partons
- (mostly gluons)

- Through leptonic decay channel of open charm,
- sensitive to shadowing

- Z. Lin & M. Gyulassy, PRL 77 (1996) 1222

**dN/dMdy ratio (Sh/no Sh)**

- Z. Lin & M. Gyulassy, PRC 51 (1995) 2177

## Motivation (II)

- “enhancement of D0/ in
- HOT matter”

- Y.L. Dokshizer & D.E. Kharzeev
- PLB 519 (2001) 199

## Time Projection Chamber

- Time Projection Chamber

- TPC

- TOFr

- Event mixing technique

- C. Adler et al.,* Phys. Rev. C 66, 061901(R)(2002)*
- H. Zhang,* J. Phys. G 30, S577(2004)*

## D Mesons

- d+Au minbias collisions @ 200GeV

- STAR Preliminary

- 6

## Time of Flight

- Time of Flight

- Hadron identification:
-      STAR Collaboration, nucl-ex/0309012

**Electron identification:**
** ****TOFr  |1/ß-1| < 0.03**
** ****TPC dE/dx             electrons!!!**

## Electron Background

- For the γ conversion and π0 Dalitz decay, background spectra are obtained from data using kinematical selection of the pairs in TPC

- 8

## Electrons

- An increasing excess found at higher pT region, pT > 1.0 GeV/c,
- as expected to be contribution of  semi-leptonic decay from heavy flavor hadrons

**STAR Preliminary**

## Spectra

- Good agreement between   D0 and electrons spectra!
- d+Au and p+p do not show significant nuclear effect

**STAR Preliminary**

- 10

## Charm Cross Section

- NLO pQCD calculation
**under-predict** the ccbar
- production cross section
- at RHIC

- Power law for ccbar production
- Cross section from SPS->RHIC
-    n = 1.9 +- 0.2
-  ( 0.3 for charged multiplicity)

- 11

## Charm pT Spectrum

- 12

- Charm pT spectrum can be fit well by the power-law function
- Charm meson ratios consistent with models and previous measurements

## Charm pT Spectrum

- NLO order calculation was done by R. Vogt and FONLL code
- (fixed order NLO and resummations of  next-to-leading logs)
- was obtained  from  M. Cacciaria and P. Nason, hep-ph0306212

- 13

- Scaled to STAR measured cross section

- The measured D pt spectrum shape
- coincides with the bare-quark distribution
- from the NLO calculation.
- Data favor a fragmentation function
- peaked at *x**~ *1

## Summary
# Presentation: 888599

## NASA Ames Solar Spectral Flux Radiometer (SSFR)

**P. Pilewskie, W. Gore, L. Pezzolo**
- wavelength range:
- 	300 nm to 1700 nm
- spectral resolution ~
- 	8-12 nm
- simultaneous zenith
- 	and nadir viewing
- hemispheric FOV
- Accuracy: ~ 3%; precision: 0.5%
- Missions: FIRE/SHEBA, DOE ARM UAV (1999, 2000, 2002), PRIDE, SAFARI-2000, ACE-Asia, CRYSTAL-FACE

**Notes:**
Instrument specs; we measure flux/irradiance with hemispheric fov for radiation budget analysys. Narrow fov more appropriate for remote sensing.

## NASA Ames Solar Spectral Flux Radiometer (SSFR)

- Measure Quantities: Upwelling (F) and down- welling (F) spectral Irradiance [Wm-2nm-1]
- Derived Quantities
- Spectral Albedo: F/ F
- Net Flux: F- F
- Flux Divergence (absorption): (F- F)top-(F- F)bottom
- Fractional absorption: (F- F)top-(F- F)bottom/ Ftop
- Retrieved Quantities: cloud effective droplet radius, optical depth, water path [re, , LWP]; aerosol single scattering albedo, asymmetry parameter [ω**o**, g]
# Presentation: 800760

## Psychopharmacologic Drugs Advisory CommitteeJune 16, 2003

**Tarek A. Hammad, MD, PhD, MSc, MS**** **
- Medical Reviewer
- Division of Neuropharmacological Drug Products
- Center for Drug Evaluation and Research, FDA

## Outline

_**Generic Drugs Registry Data**_
- Are We Seeing the Full Picture?
- Agranulocytosis Rates Stratified by Monitoring Frequency after 6 Months in the US and 1 Year in the UK

## Generic Drugs Registry Data

**Generic clozapine became available in 1997**
**Data from two manufacturers- Ivax and Mylan**
**Only first time users of clozapine were included**
**First time users accounted for only about 10-20% of all users in the generic databases**
**Small number of patient-years **
**1007 py before & 2937 py after 6 ms,  across the two databases**
**Demographics are reasonably similar to the innovator data in the US CNR**

## Generic Drugs Registry Data (first 6 months of therapy)

## Generic Drugs Registry Data (After 6 months of therapy)

## Outline

- Generic Drugs Registry Data
_**Are We Seeing the Full Picture?**_
- Agranulocytosis Rates Stratified by Monitoring Frequency after 6 Months in the US and 1 Year in the UK

## US Rates After First 6 Months (weekly monitoring in old system and every two weeks in new system)

- US Rates After First 6 Months (weekly monitoring in old system and every two weeks in new system)

## Detection of Moderate Leukopenia

**UK system uses WBC and ANC**
**Two parallel tests increase sensitivity**
**Help detect more potentially vulnerable patients**
**Premise: Pts with low ANC preceding low WBC are detected later in a system that follows only WBC**
**Might explain apparent higher rates in UK**

## Agran Rates by Monitoring Period: US Vs. UK

## Mortality Rate Due to Agran by Monitoring Period: US Vs. UK

## Outline

- Generic Drugs Registry Data
- Are We Seeing the Full Picture?
_**Agranulocytosis Rates Stratified by Monitoring Frequency after 6 Months in the US and 1 Year in the UK**_

## Moderate Leukopenia and Agran Rates in the US in the current system after 6 months

## Moderate Leukopenia and Agran Rates in the UK in the current system after 1 year

## Progression from moderate leukopenia to agran in the UK across monitoring frequencies after 1 year

## Slide 15

## Progression from moderate leukopenia to agran in the US across monitoring frequencies after 6 months

## The number of new users of clozapine for the four months prior to the repeated suicidality indication approval in December 2002 and the subsequent months to April 2003
# Presentation: 924654

## NFUSE GOALS

- Premise
- We accept and plan to follow major NRC recommendations
- What’s needed?
- Design, develop, and gradually implement changes in forecast process for
- 				*assessing, communicating, and using forecast uncertainty*
- Basic capabilities (by 2009-2010)
- Detailed draft plan (including low hanging fruit) by Oct 07
- Full capabilities (by 2012-2017)
- Conceptual draft plan by Oct 07
- Corporate commitment
- Funding for both phases
- Reallocation / reprioritization for phase 1
- PPBES for phase 2
- New / revised operational requirements
- Part of planning / development

**NFUSE GOALS**

## TWO-PHASE PLAN

- Limited time and resources - Build on existing and emerging efforts
- Not all users within/outside NWS can access ensemble data
- Limited capabilities
- Ability to express basic forecasts in probabilistic terms
- Uni-variate pdf
- Joint probab. computation assumes probabilities for different variables are independent
- Other formats derived from uni-variate pdf
- Phase 2 (5-10 yrs)
- Full capabilities
- All interested users within/outside NWS have access to ensemble data
- Joint probabilities derived from ensemble
- Exhaustive set of forecast formats/products supported

**TWO-PHASE PLAN**

## PHASE 1 PLAN

***Definition of basic format for forecast uncertainty***
- Advantages of using a common format
- Facilitates flow of info between three major elements in forecast process
- Numerical guidance
- Human forecasters
- External users
- Provides basis for collaboration among various groups
- Inter-comparison of different approaches
- Requirements
- Can be easily interpreted by users
- Intuitive meaning
- Can be manipulated by forecasters
- Related to current forecast modification practices
- Can be easily communicated
- Limited data volume
- Can be stored in NDFD
- Related to current forecast format
- Additional formats can be easily derived
- Based on standard statistical considerations
- Choice of exact format not critical
- As long as software available to generate alternate formats

**PHASE 1 PLAN**

## CHOICE OF FORMAT FOR ASSESSING AND COMMUNICATING FORECAST UNCERTAINTY

- Recommended by Predictability WG at WR/NWS SOO/DOH Workshop (Salt Lake City, May 2003)
- Discussed and recommended by Predictability Workshop at Univ. Wisconsin (Madison, Mar 2004)
- Studied in detail and adopted at UKMET Office (2006)
**Suggested format**
- Beyond most likely scenario (mode), for each NDFD variable, include
- Two additional fields
- 10 percentile value of forecast distribution
- 90 percentile value of forecast distribution
- Readiness
- Numerical guidance
- Can be generated based on ensemble data, using NAWIPS software
- Forecasters
- Can use same tools to manipulate 2 new fields as with most likely field
- Users
- UKMET research indicates this is intuitive

**CHOICE OF FORMAT FOR ASSESSING AND COMMUNICATING FORECAST UNCERTAINTY**

## EXAMPLE FROM UK METOFFICE - TEMP

**EXAMPLE FROM UK METOFFICE - TEMP**

*Courtesy of Mark Roulston*

## EXAMPLE FROM UK METOFFICE - PRECIP

**EXAMPLE FROM UK METOFFICE - PRECIP**

*Courtesy of Mark Roulston*
# Presentation: 680558

## 62.4 GeV CuCu Integrated Luminosity

- J. Lajoie - RHIC Time Meeting

## PHENIX DAQ Hours

**PHENIX DAQ Hours**

**56.8 hrs in the previous week**

**Average 10.3 hrs/day**
**(first five days)**

- J. Lajoie - RHIC Time Meeting

## Injection Energy Setup

- PHENIX observations consistent with collisions beyond the north BBC (under the north muon arm?)
- BBC timing shifted by ~13ns
- BBC N/S timing distribution has South 10ns later than north (~300cm)
- Very high backgrounds in north, negligible in south
- Goals hard to specify at this point
- 250 Hz for 36 hrs x 0.6     ~20M events

- J. Lajoie - RHIC Time Meeting

## Rates and Backgrounds

**North**

**South**

**BBCLL1 |vtx|<40cm**

**BBCLL1 (no vtx)**

**ZDCNS**

- J. Lajoie - RHIC Time Meeting
# Presentation: 902164

## Tracers in AVE-WIIF...and elsewhere...  

- Steven C. Wofsy
- Harvard University
- AVE-WIIF:
- Only CO2 provided high-quality tracer data.
- Data for H2O excellent.
- Data for CH4 from ICOS usable.

## Slide 2

## Slide 3

## Theta (K)

## Theta (K)                           CO2 (ppm)                  -D

- Theta (K)                           CO2 (ppm)                  -D

##  > 367 K

- x  CH4  IC
- •  CO2  HU
- — H2O HW

-  > 367 K

## Slide 7

## Slide 8

## Slide 9

## x  CH4  IC

- x  CH4  IC
- •  CO2  HU
- — H2O HW

- recent

- Dec. 2004

## x  CH4  IC

- x  CH4  IC
- •  CO2  HU
- — H2O HW

- Water input into old air (midlats?)

## H2O seasonal cycle: PRE-AVE, AVE-WIIF, CRYSTAL all on the rising branch.  

- H2O seasonal cycle: PRE-AVE, AVE-WIIF, CRYSTAL all on the rising branch.

- CO2 seasonal cycle: PRE-AVE, rising; AVE-WIIF, CRYSTAL peak  declining

## AVE-WIIF

- May—July 2005

- Dec 2004

## H2O vs CO2 – filtered on CH4 to remove old air

- H2O vs CO2 – filtered on CH4 to remove old air

- AVE-WIIF

- AVE-WIIF, 20050707

##  Profiles of CO2 on 29 Jan 2004 at 8.6, 4.3, and 0.9 deg N.  Note the CO2 maximum just below the tropopause at all latitudes, indicating the youngest air in the UTLS. The CO2 seasonal clock suggests about ~30 days for the near-/at- tropopause layer to descend from 380K to 350K, about the same as the turnover time for the whole troposphere. Approx. GPS altitudes are given in red.

** **Profiles of CO2 on 29 Jan 2004 at **8.6**, **4.3**, and **0.9 **deg N.  Note the CO2 maximum just below the tropopause at all latitudes, indicating the youngest air in the UTLS. The **CO****2**** seasonal clock** suggests about ~30 days for the near-/at- tropopause layer to descend from 380K to 350K, about the same as the turnover time for the whole troposphere. Approx. GPS altitudes are given in **red****.**

## AVE-WIIF

- CH4-IC>1820

**Notes:**
Repeat theses for WIIF

## Summary

- CO2 data from CRYSTAL and AVE-WIIF appear consistent with the “CO2 Tracer Clock”, and with the suggestion that the youngest air is found at the tropical tropopause with composition very similar to the average of surface stations in the ITCZ.
- The “clock” has anomalously low resolution in the time frame of July, and midlatitudes show complex tracer behavior, so AVE-WIIF and CRYSTAL do not comprise a definitive test of the hypothesis derived from Pre-AVE.
- Nevertheless CO2 data are very useful for detecting convective inputs of H2O and for characterizing the atmosphere for analysis of isotope data, especially in the the lower midlatitude stratosphere.
# Presentation: 796325

## Earth Day 2006 

- Andy Lawrence (EH-4) Welcome for Earth Day / P2 Star Awards

## Earth Day 2006 

- Russell Shearer (Acting EH-1) congratulating Marty Schoenbauer, Acting Principal Assistant Deputy Administrator for Military Application Defense Programs (NNSA), on his P2 Star Award.

## Earth Day 2006 

- Russell Shearer (Acting EH-1) congratulating Dan Erbschloe, Acting Chief Operating Officer, Office of Science, on his P2 Star Award

## Earth Day 2006 

- Russell Shearer (Acting EH-1) congratulating Rick Kahn, FEMP, Office of EE and RE, on his P2 Star Award

## Earth Day 2006 

- Russell Shearer (Acting EH-1) congratulating Mark Gilbertson, Deputy Assistant Secretary for Environmental Clean-up and Acceleration, on his P2 Star Award.

## Earth Day 2006 

- Russell Shearer (Acting EH-1) with the four P2 Star Award Winners

## Earth Day 2006 

- NEPA Earth Day Display

## Earth Day 2006 

- From left to right: Marty Schoenbauer, Acting Principal Assistant Deputy Administrator for Military Application Defense Programs (NNSA), and Russell Shearer (Acting EH-1) with NNSA Earth Day Display

## Earth Day 2006 

- Fossil Energy Earth Day Display
# Presentation: 082272

## Accident scenarios                         for MTA beam line

- Igor Rakhno
*June 8, 2007*

## The scenarios 

- Several spatial locations were examined:
- beam pipe 5 m   US the 12-ft sh.block;
- beam pipe 2.5m US the 12-ft sh.block;
- beam stop itself;
- beam pipe inside the 12-ft sh.block, ≈ under the penetrations;
- quad 5 m DS the 12-ft sh.block
- The beam stop in all the cases is in upper position (beam pipe is clear).
- Two penetrations are in the model: coax and rectangular (modeled as circular).

## Plan view @ beam line elevation

## Penetrations: elevation view

## Penetrations: plan view @ elevation of X=370 cm

## Calculated dose in the penetrations @ X=370 cm 

-                         **Location**                           **Dose (mrem/pulse)**
- Beam pipe 5 m   US the 12-ft sh.block                             1
- Beam pipe 2.5m US the 12-ft sh.block                             1
- Beam stop itself                                                                 1
- Beam pipe inside the 12-ft sh.block                                25
- Quad 5 m DS the 12-ft sh.block                                    240
- There is no cross-talk between the penetrations, so that we have
**two spots** 240 mrem/pulse each, not one spot 480 mrem/pulse.

## Accident on quad; plan view @ X=370 cm

## Accident inside the 12-ft block
# Presentation: 207118

## STAR reconstruction overview

- Spiros Margetis (Kent State University)
- STAR Collaboration

## Introduction

- STAR is similar to ALICE
- Collider Environment
- Barrel TPC as central tracker
- Silicon based Vertex Detectors
- STAR (SSD+SDD)
- ALICE (+Pixel)
- Common reconstruction tasks
- Cluster/Hit/Track finders/fitters
- Global combinators (tracks, PID, vertices)
- Calibrations, Alignment, Controls

- STAR/ALICE Joint Software Workshop

- 8 April 2000

## STAR  Year-1 / Year-2

- Year-1 tracking detectors
- TPC + one SVT plane (ladder) + FTPC
- Simpler integrated tracking tasks
- Material, trackers, matching, relative alignments
- Year-2, 2’,2”... configuration
- Initially + SVT, then +SDD
- Harder integrated tracking tasks
- Execution sequence less obvious
- Detector<->Global handshake

- STAR/ALICE Joint Software Workshop

- 8 April 2000

## Software design - Bad news 

- Poor Initial Design
- Legacy code was put together and effort concentrated in maintenance and algorithm development
- New environment, new challenges
- Minimum (STAR dedicated) manpower/frequent infra changes (much better now)
- Co-existence of Fortran/C++
- makers and pams
- Different code, same task
- Black box/Don’t touch approach

- STAR/ALICE Joint Software Workshop

- 8 April 2000

## Good news

- Good algorithmic approaches to cluster/track finding
- Based on previous experiments
- Basic tasks are covered even if not in an optimum way
- No huge holes in the system
- Currently looking for common tasks
- Propagation (GEANE ...)
- Fitting (Kalman ...)
- Algorithm handshake/streamlining/integration

- STAR/ALICE Joint Software Workshop

- 8 April 2000

##     TPC (similar chart for SVT)
  All data are reported 
in STAR coor. Syst.

-   All data are reported
- in STAR coor. Syst.

- STAR/ALICE Joint Software Workshop

- 8 April 2000

##    Global reconstruction
 Integrates detector specific info
Writes DSTs

-  Integrates detector specific info
- Writes DSTs

- STAR/ALICE Joint Software Workshop

- 8 April 2000

## Plans

- Short term
- Keep tuning / develop existing code
- Profit from other’s experience
- Do the best we can for upcoming data
- Longer term
- Get rid of legacy
- Unify Analysis/Reco framework (StEvent ...)

- STAR/ALICE Joint Software Workshop

- 8 April 2000

## Summary

- STAR will be ready to reconstruct its day-one data, but sweating
- Year-2 is more challenging than year-1
- There is hope for increased participation in developing/rewriting code as data/analysis needs appear.
- Need collaboration with outside experts

- STAR/ALICE Joint Software Workshop

- 8 April 2000
# Presentation: 898141

## District Directors and SED’s

- Track progress of summary
- Ratings within the District/State using EmpowHR
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