BEE-spoke-data/govdocs1-by-extension huggingface dataset:
# Presentation: 231607

## Radar Signal Processing System

**B****usiness**
**I****nnovation **
**R****esearch**

**Radar Signal Processing System**
***Technology Service Corp.***
*** ******Santa Monica, CA***

**ACCOMPLISHMENTS**
- Delivered a radar signal processing system to Ames intended for
- integration testing on a NASA helicopter.  Ground testing proved that
- the system was able to produce comprehensive in-flight obstacle
- location data.  The techniques developed from this project were
- used by the DoD and aerospace industry in a variety of related
- applications
** ****COMMERCIALIZATION**
- Contract for $157K from Rockwell-Collins to use radar processing technology
-  to simulate radar imagery
- Contract for $506K from Japanese aerospace company to generate infrared
- scenes  for training simulator

- Ames Research Center
- SS #  2-025 - Contacts:
- TSC - Russell Lefevre - (310) 954-2200
- NASA - Dr. Banavar Sridhar -  (650) 604-5450

- 1993 Phase 2, Contract No. NAS2-14234

**      ****GOVERNMENT/SCIENCE APPLICATIONS**
- Federal Government awarded TSC $630K contract under the Technology Reinvestment Project improve on radar processing system developed under SBIR funding
- USAF Wright-Patterson Laboratory awarded TSC a $363K contract to build two systems based on SBIR technology for electronic  counter countermeasure development
- U.S. Navy awarded TSC a $278K contract to build a radar signal simulator based on SBIR technology

**Radar Processing System**
# Presentation: 137413

## Course Goal

- Upon completion of the unit, students will be able to describe stewardship activities and issues relating to the Department of Energy’s activities on the Oak Ridge Reservation

- Lesson 1 - Defining Stewardship

## Lesson 1 Objectives

- Define stewardship as it relates to environmental management
- Identify stewardship issues specific to the Oak Ridge Reservation

- Lesson 1 - Defining Stewardship

## Y-12 National Security Complex

- Lesson 1 - Defining Stewardship

## East Tennessee Technology Park

- Lesson 1 - Defining Stewardship

## Oak Ridge National Laboratory

- Lesson 1 - Defining Stewardship

## Uranium Enrichment Processes

- Lesson 1 - Defining Stewardship

## Early Waste Dumping Practices

- Lesson 1 - Defining Stewardship

## Early Waste Dumping Practices

- Lesson 1 - Defining Stewardship

## Stewardship Definition

- Stewardship is the acceptance of responsibility and the implementation of activities necessary to maintain long‐term protection of human health and of the environment from hazards posed by residual radioactive and chemically hazardous materials

- Lesson 1 - Defining Stewardship

## Lesson 1 Objectives Review

- Define stewardship as it relates to environmental management
- Identify stewardship issues specific to the Oak Ridge Reservation

- Lesson 1 - Defining Stewardship
# Presentation: 033268

## Atomic Oxygen Resistant PolymersTriton Systems Inc., Chelmsford, Massachusetts

- Atomic Oxygen Resistant PolymersTriton Systems Inc., Chelmsford, Massachusetts

- Innovation
-   -  Developed new Class of Atomic Oxygen Resistant Polymers (TORTM) that survive in space 15X longer than currently used polymers.

- Accomplishments
- Developed Polymeric Products (TORTM ) based on exclusive LaRC Patent  Licenses.
- Developed variations of TORTM polymer to protect against Atomic Oxygen (AO) erosion     and ultraviolet (UV) radiation degradation.
- Tailored variations of TORTM products to meet requirements for insulation, conductance and fire resistance.
- Matured Technology Readiness Level from TR 2 to TR 8 across variety of product lines

- Commercialization
- TORTM  commercial sales:
- Multilayer insulating (MLI) blankets on Commercial Satellite-- Launch Date (July 2000)
- Insulation and conductive coating for ProSEDS elelctrodynamic tether  --Launch Date (August 2000)
- Thread for sewing soft goods for space missions
- Optical fiber interconnect adhesive
- High temperature film for use in flexible circuits and heaters
- TORTM  used as electrically conductive polymer for electrostatic discharge management.
- Annual Commercial Sales $500K-$1M beginning in CY 2000 anticipated.
- Provided the ground work for Triton to grow from 7 employees in 1995 to in excess of 45 in 1999.

- Government/Science Applications
- Long Life AO Resistant and Conductive Metallized Films for Space Thermal Radiators .
- Polymer Films for Beam Resistant Solar Sails
- Fiber for Braided Thread and Woven Structures
- Resin for Electrical Wire Insulation (or Conductivity) and Thin Coatings
- Membranes for Contaminated Liquid Separation
- Film for use in Flexible Electronic Circuits and Space Exposed Surfaces

- Points of Contact:
-    -  NASA (Dr. John Connell 757-864-4264)
-     -  Triton Systems, Inc. (Dr. George Kachen, 978-250-4200, x-154)
- 1994: SBIR Phase II: NAS-1-20576

- NASA Field Center
- Date of Update________

_***TRITON SPACE DURABLE PRODUCTS***_
** ****FILM**
** ****THREAD**
** ****CLOTH**
# Presentation: 704796

## AB 303 AWARDS FOR FY 2000-2001

**AB 303 AWARDS FOR FY 2000-2001**

**Notes:**
24 projects funded, at least partially.  About 40% of those submitted.  

$15 million requested, $5 million funded.

## AB 303 AWARDS FOR FY 2001-2002

**AB 303 AWARDS FOR FY 2001-2002**

## PROPOSITION 13 AWARDS FOR FY 2000-2001 

**PROPOSITION 13 AWARDS FOR ****FY**** 2000-2001**** **

**Notes:**
Requests for over $150 million, $18 million available

Lack of representation in Sacramento Valley.  This is partially due to lack of local need or desire to explore regional groundwater management options.

This is changing.  Many of our partnerships are in the Sacramento Valley.  Other opportunities are available.

## PROPOSITION 13 AWARDS FOR FY 2001-2002

**PROPOSITION 13 AWARDS FOR FY 2001-2002**
# Presentation: 192947

## An illustration of Observation Space Assimilation where the observed quantity is a scalar (in this case visible albedo) so that the assimilation problem reduces to straightforward image processing.

**An illustration of Observation Space Assimilation where the observed quantity is a scalar (in this case visible albedo) so that the assimilation problem reduces to straightforward image processing.**
**1. Raw data. Geostationary satellite image. **

## 2. Rescaled image, color coded by data value. High albedo pixels (green) are assumed to be cloud contaminated. 

**2. Rescaled image, color coded by data value. High albedo pixels (green) are assumed to be cloud contaminated. **

## 3. Standard deviation of data values (used in computing the Kalman filter). Unfortunately, cloud pixels exhibit relatively low (blue) standard deviations and cannot be discriminated by sigma values in this case. 

**3. Standard deviation of data values (used in computing the Kalman filter). Unfortunately, cloud pixels exhibit relatively low (blue) standard deviations and cannot be discriminated by sigma values in this case. **

## 4. Model predictions of albedo values. 

**4. Model predictions of albedo values. **

## 5. Kalman filter (a scalar function of horizontal position) used to modify model predictions by analyzed value = (1 - K) * predicted value + K * observed value. In turn, K = S/(R + S). where R is the observational error variance (see figure 3 above) and S is the forecast error variance (which can also be computed from a combination of the predictions [figure 4] and data [figure 2]). 

**5. Kalman filter (a scalar function of horizontal position) used to modify model predictions by analyzed value = (1 - K) * predicted value + K * observed value. In turn, K = S/(R + S). where R is the observational error variance (see figure 3 above) and S is the forecast error variance (which can also be computed from a combination of the predictions [figure 4] and data [figure 2]). **

## 6. Analyzed (cloud-free) albedo using this formalism. The next step of determining aerosol properties by inverting the albedos (using 4-d variational techniques) is under development

**6. Analyzed (cloud-free) albedo using this formalism. The next step of determining aerosol properties by inverting the albedos (using 4-d variational techniques) is under development**
# Presentation: 492432

## Slide 1

**Notes:**
This report is part of the Adolescent Report which looks at vaccine coverage for American Indian/Alaska Native adolescents 11 – 17 years of age. This graph looks at coverage with the Meningococcal vaccine, Tdap vaccine, and Tdap or Td vaccines for 13 year olds. Note that Tdap/Td coverage was collected starting in FY 08 Q2. 

## All IHS Areas Combined13 – 17 Year old FemalesHuman Papillomavirus Vaccine (HPV)

- This report is part of the Adolescent Report which looks at vaccine coverage for American Indian/Alaska Native adolescents 11 – 17 years of age.  This report looks at coverage with 1, 2, and 3 doses of the Human Papillomavirus vaccine (HPV) for females 13 – 17 years of age.

**Notes:**
This report is part of the Adolescent Report which looks at vaccine coverage for American Indian/Alaska Native adolescents 11 – 17 years of age.  This report looks at coverage with 1, 2, and 3 doses of the Human Papillomavirus vaccine (HPV) for females 13 – 17 years of age.
# Presentation: 128708

## If I had only known

**Technical Experiences** from the UKY & BUChautauquas

- Russ Wolf

## Spelling

- Every a gets ‘a’  ‘u’
- Except last q gets a ‘ua’
- ch**AU**t**AU**q**UA**
**MUD abbreviation: chatQ**
**Lisa invented it – ask her**

- CHAUTAUQUA

## In a nutshell

- Who to worry about
- What to worry about
- When to worry about it

- Boston University

## Who to Know

- Know your people
- Trust the Producer (and Lisa too  )
- MUD + Phone + node operators
- Know your players
- The live line-up
- Speakers and their material
- Know your route
- Site network paths
- Wide area network paths
- Names + phone + pager + email + boss

- Boston University

## Worry this

- Know what you WANT to see & hear
- Know what you DO see & hear
- Know what remote sites see & hear
- Look at your Screen
- Use the Mud & Back Channel
- Look at remote screen shots

- Boston University

## Not Microsoft Windows

- Methods for up/down
- Size on side
- Drag to place
- Drag off
- Close
- Remote questions
- Train MC to identify

- Boston University

## Times to think

- Building the Grid
- Layout of physical pieces
- NanoCruiseS
- Have them early and often
- MegaCruise
- Avoid weekends for the final run
- MC Training
- Presenter 1:1 chats
- Get a feel for what they think they are doing
- Countdown
- Breaks in day

- Boston University

## What you really want to hear

- Be ready with isolation solution
- Don’t give up the mic
- Trust your instincts
- Don’t panic
- Use all your senses (twice)

- Boston University

## Make life easier for all

- Use ChatQ timezone as absolute
- PowerPoint naming convention
- Short & sweet
- Avoid long web paths
- Avoid weird caPItaliZAtiOn
- Always have slides in same path
- http://scv.bu.edu/slides/
- Use common monikers
- TUE-01.ppt

- Boston University

## Make life easier for you

- Have backup hard disk
- Install dual systems
- Display (win2K)
- Audio/Video (Linux)
- Control (Win98 for now)
- Use Ghosting tools
- SPARE PARTS
- Batteries
- Connectors
- Gaff tape
- Motrin

- Boston University

## Systems are people too

- Remember AG Systems Security
- System Patches
- Turn off unnecessary Services
- Vulnerabilities come from stuff you don’t need
- Virus Protection
- We are using too much PowerPoint

- Boston University

## Solutions to disaster

- Agenda as it happens
- Post speaker name and PPT on MUD
- Only need to know start to next break
- “Click to talk” @ UKY
- MC and wireless mic @ BU
- SoX goes bye-bye @UKY
- Facility Outage @ ANL
- Beware the backhoe (somewhere)
- Artists and Technology @BU

- Boston University

## Local Presenter

- Local Screen Shot

- VCR Capture

- Remote Screen Shots

- Boston University

## Remember to have Fun

- Surprise the audience by asking the speaker a question

- Boston University
# Presentation: 220755

## A Winter Storm . . . 

- Can range from a moderate snow over a few hours to blizzard conditions with blinding wind-driven snow that lasts several days.

## Winter Storm Risk

- Automobile/other transportation accidents
- Exhaustion and heart attacks
- Hypothermia/Asphyxiation
- House fires

## Elements of Winter Storms

- Heavy snow
- Ice
- Winter flooding
- Cold

## Types of Snow

- Blizzard
- Blowing snow
- Snow squalls
- Snow showers

## Types of Ice

- Sleet
- Freezing rain
- Ice storm

## Winter Flooding Includes . . . 

- Coastal storms
- Ice jams
- Snowmelt

## Effects of Cold 

- Wind chill
- Frostbite
- Hypothermia

## Winter Storm Preparedness 

- Understand the risk.
- Prepare your home.
- Service snow-removal equipment.
- Fill your car’s gas tank.
- Pay attention to warnings.

## During a Winter Storm . . . 

- Stay indoors and dress warmly.
- Eat and drink regularly.
- Conserve fuel.
- If outside, protect yourself from hazards.
# Presentation: 492943

## Ralph Pasquinelli 

***Fermilab***
***Marc Ross ***
***SLAC***

## Charge of surveying R&D requirements for new machines
Machines surveyed:
 e+e- colliders
 Muon Neutrino Source
 NLC
 Proton Driver
TESLA
 VLHC

***Machines surveyed:***
*** ******e+e- colliders***
*** ******Muon Neutrino Source***
*** ******NLC***
*** ******Proton Driver***
***TESLA***
*** ******VLHC***

## Common diagnostic requirements
Beam parameter lists orders of magnitude more demanding than current machines
Kilometers of beam lines to monitor
Beam energies capable of vaporizing hardware
Personnel, environment, and hardware protection

***Beam parameter lists orders of magnitude more demanding than current machines***
***Kilometers of beam lines to monitor***
***Beam energies capable of vaporizing hardware***
***Personnel, environment, and hardware protection***

## Reliability
Thousands of channels to monitor and control
NASA style quality engineering?
Severe consequences to beam losses
Can HEP assign to high reliability

***Thousands of channels to monitor and control***
***NASA style quality engineering?***
***Severe consequences to beam losses***
***Can HEP assign to high reliability***

## Diagnostic Installation
Radiation environments are similar in all machines
Machine designs do not put diagnostics at the forefront of R&D
Complexity, should implement KISS
Data collection, feedback loops, bandwidth

***Radiation environments are similar in all machines***
***Machine designs do not put diagnostics at the forefront of R&D***
***Complexity, should implement KISS***
***Data collection, feedback loops, bandwidth***

## Commissioning
Need plans up front
Dynamic Range issues

***Need plans up front***
***Dynamic Range issues***

## Focus of R&D
Most $ and resources relegated to magnets, structures, RF, ...
Diagnostics should receive stronger support up front
Time saved in commissioning and operations is $$$
Abandon the “cowboy” approach to commissioning
Prototyping and cooperation

***Most $ and resources relegated to magnets, structures, RF, ...***
***Diagnostics should receive stronger support up front***
***Time saved in commissioning and operations is $$$***
***Abandon the “cowboy” approach to commissioning***
***Prototyping and cooperation***
# Presentation: 128357

## Vortex Formation in 2D Fluids X. L. Wu, University of Pittsburgh, DMR-0242284

**Vortex Formation in 2D Fluids ****X. L. Wu****, University**** of Pittsburgh, ****DMR-0242284**

- Vortices are ubiquitous in fluids and can form on scales as small as a fraction of millimeter to as large as hundreds of kilometers. The formation of hurricanes is just one of the extreme examples of large-scale atmosphere manifestation with devastating consequences. We investigate fundamental physics that governs  the formation and the evolution of vortices. In the two examples below, a triangular (a) and a circular cylinder (b) are exposed to a uniform velocity, U. They illustrate that, despite entirely different initial configurations, the vortex structure downstream is universal . Our work attempts to establish that this universal structure is no coincidence but obeys the similar laws as in thermodynamics.

**(a)**

**(b)**

## Education:

**Education:**
- Two undergraduates (Pedram Roushan, Stephen Brenner) and three graduate students (Yonggun Jun, Jie Zhang, and Ayhan Duzgun) have contributed to this project. Pedram was a Goldwater scholar and is now a graduate student at Princeton University. Jie just obtained his Ph.D. degree and is now a postdoctoral fellow at Duke University. Stephen is a student from the Carnegie Mellon University. Because the project fascinated him so much he decided to work in the lab two afternoons a week.

**Societal Impact:**
- It is hard to underestimate the importance of understanding how vortices behave after hurricane Katrina disaster. The connection between 2D turbulence and formation of large wind structures, such as hurricane and typhoon, makes the current research all the more relevant. We also investigate various means to suppress vortex formation, which may find industrial applications. The project is well suited for training future scientists in this important area of research.
# Presentation: 423430

## REU Site:  Transdisciplinary Undergraduate Research Initiative on Nanostructured SeminconductorsPI:  Mark T. Swihart, co-P.I. Alexander N. CartwrightThe University at Buffalo (SUNY), DMR-0243833

**Education and Outreach:**
- During summer 2005, this program brought together a diverse cohort of 14 students from 11 different universities, representing 7 major fields of study in science and engineering.  These students worked on cutting-edge research projects with 11 faculty across 4 academic departments, around the common theme of synthesis, characterization, and application of nanomaterials with unique photonic, electronic or magnetic properties.  The images on the right show (a) participant Ahlam Hmadouch preparing to give her end-of-summer presentation; (b) SEM image of Yoda (who says ‘judge me not by my size’) created by participants Zachary Lochner and Mark Cianchetti as part of a test pattern for the e-beam lithography system they used in their projects, (c) dispersions of photoluminescent silicon nanoparticles with size and surface chemistry dependent emission spectra, prepared by participant Kristen Lane, and (d) eleven of the participants after the Whirlpool Jet Boat ride on the Niagara River near Niagara Falls.

**Notes:**
Additional details on the student participants are as follows:

At the end of the summer, the students presented their work to each other and the faculty and graduate student mentors that worked with them.  Each of them gave a very nice 20 minute PowerPoint presentation.  The table below gives the titles of the student presentations and the faculty advisor(s) that directed each student project.

In addition to the ten-week intensive research project, this summer program included social outings to the Whirlpool Jet Boat Tours in Niagara Falls, a Buffalo Bisons baseball game, and Six Flags Darien Lake.  We also visited NanoDynamics, a successful nanotechnology startup company in Buffalo, and Infotonics, a research, development, and pilot fabrication facility established by Kodak, Xerox, and Corning.  Students also participated in a weekly seminar and discussion on ethics in research and professional practice, led by Mike Ryan, UB Vice Provost for Undergraduate Education.  It is expected that several forthcoming publications will include REU students as co-authors.  In an anonymous exit survey, students unanimously  and enthusiastically indicated that the REU program had provided them with a positive learning experience. The vast majority said that this increased their motivation to attend graduate school and earn a Ph.D.  Six of the 14 participants were women, and one was african-american.
# Presentation: 495376

## CH. 12. GRAND CHALLENGES IN MODELING, 

- OBSERVATIONS, AND INFORMATION SYSTEMS
- PANEL CRITIQUE BY
- PROF. STEVEN W. RUNNING
- UNIVERSITY OF MONTANA
- MISSOULA
- Climate Change Science Program
- Dec 3 – 5, 2002

## OBSERVATIONS

-  _repeated_ observations to quantify.....CHANGE
- 1. Continuity of critical observations
- 2. Transitioning research facilities to operational
- 3. Developing cost effective ecological observations
- [ *how to represent the richness of the biosphere*
* **in global scale science* ]
- Examples:
- Earth Observing System [EOS] 24 key global
-  change variables to the  National Polar Orbiting
-  Environmental Satellite System [NPOESS]
- - Ameriflux CO2 measurement network to a
- National Biospheric monitoring system

## INFORMATION SYSTEMS

- The current Earth Observing System produces
- 3 Terabytes of data per DAY, and currently holds
- 4 PetaBytes
- BUT simple data storage is not the Grand challenge.....
- Efficient integration of these massive datasets
-  from multiple sources and formats for study
- 2. Intelligent, automated ways to explore raw data to
- discover new information

**INFORMATION SYSTEMS**

## MODELING of the EARTH SYSTEM 

* **energy exchange to centuries for soil carbon cycles* ]
-  and spatial scales [ *1/10 ha farm ownership to global* ]
-  in coupled Earth Systems Models
- 2. Translating generalized model physics and
- biogeochemistry to sector specific information
*[**carbon balance is not equal to rice yields**] *
- 3. Providing initializing data to run the complex global models [*plant rooting zone for the US*]
- 4. Better interaction with socioeconomic sciences
- for defining more realistic future scenarios

- MODELING of the EARTH SYSTEM
- LAND – ATMOSPHERE – OCEAN COUPLING
# Presentation: 614076

## RUI: Spectroscopy of Many-Body Processes in Semiconductor NanostructuresTigran V. Shahbazyan, Jackson State University, DMR-0305557

**Two-plasmon linear intersubband absorption of light in biased quantum wells**   *cond-mat/0501406*
*J. Dai and M. E. Raikh (U. Utah), T. V. Shahbazyan (JSU)** -- *A new many-body effect in semiconductor oprics, *two-plasmon intersubband absorption of light* in biased quantum wells is predicted. The new absorption peak at 2 ( is subband separation) consists of a sharp two-plasmon feature on top of a broad two-electron absorption band. A distinctive feature of the new peak is its sensitivity to the well asymmetry or to external bias. For a symmetric well, the effect emerges only at finite bias and grows with it quadratically.

- Fig 1. Absorption spectrum of a quantum well. Dashed line:  single-electron peak; Full line: two-electron peak. Inset: threshold behavior of two-electron absorption

## RUI: Spectroscopy of Many-Body Processes in Semiconductor NanostructuresTigran V. Shahbazyan, Jackson State University, DMR-0305557

- Two undergraduate students, Kendrik Walker and Brenitra Mosley, have been supported through this grant as research assistants. Student research at JSU is conducted in the general framework of NSF Nanotechnology Undergraduate Education program at Physics Department. During past year, 8 students from traditionally underrepresented groups, including female students, have been involved in various research projects with several faculty. These activities resulted in student presentations at four conferences. All students participated in summer programs at research sites at JSU. Two students had summer internships in Cornell University.

**RUI: Spectroscopy of Many-Body Processes in Semiconductor Nanostructures**Tigran V. Shahbazyan, Jackson State University,* *DMR-0305557
# Presentation: 515528

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

***Total SARs: 117,729***

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

## Characterizations of Suspicious Activity for the State of Illinois

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

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

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

***Total SARs: 9,480***

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

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

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

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

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

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

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

- Petersburg
# Presentation: 100756

## Preparing Volunteer Nurses for Public Health Emergencies 

**Betsy Weiner, Ph.D., R.N., B.C., FAAN**
- Senior Associate Dean for Educational Informatics and
- Professor in Nursing and Biomedical Informatics
- School of Nursing
- Vanderbilt University
- Nashville, TN

## Research Aims for AHRQ Grant

- For Medical Reserves Corps (MRC) volunteer nurses, face to face vs. online learning will be compared
- To determine effectiveness
- To determine efficiency
- To define user characteristics that predict selection and completion of learning programs
- To determine the adequacy of technology integration in learning emergency response content

**Notes:**
Q1. Your group has recently been awarded an Ark grant for your work in education and training; can you start by telling us a bit about this project?

## Volunteer and Inactive Nurses

- Not currently working for responding organization
- Desire to learn
- Responding through local response structure via Medical Reserve Corps

**Notes:**
Q2. Tell us, why are volunteer and non-active nurses the focus of your project? 

## Key Message to Nurses

- Theme of all modules is surge capacity
- Limitation of resources
- Planning is essential
- Be part of the plan!

**Notes:**
Q3. What is the key message about surge capacity that you are trying to get out to nurses?

## Value Shift: Triage

- Most good for the greatest number of people
- Critically ill patients are not always first; may be provided palliative care
- First module: The Tipping Point

**Notes:**
Q4. You mentioned that there are some value shifts that nurses must make. Give us an example of one of those required changes.

## Unique Aspects 

- Competencies created by International Nursing Coalition for Mass Casualty Education (INCMCE)
- Based on national “How People Learn” framework in conjunction with Little Planet Learning, Inc.

**Notes:**
Q5. How is your work different from other training efforts?

## How People Learn

- Students come with preconceptions
- Must have factual knowledge, but know how to organize and retrieve
- Must take control of own learning
- Learning environments must be learner- centered, knowledge-centered, assessment- centered, and community-centered

**Notes:**
Q5. Continued

## How People Learn Cycle

**Notes:**
Q5. Continued

## Slide 9

**Notes:**
Q6. Are any of the modules available? How can interested listeners get copies of the modules?

## www.incmce.org

**Notes:**
Q6. Continued
# Presentation: 707785

## FULL-SCALE AIRCRAFT CABIN AND EE-BAY TEST RESULTS FROM GREENWOOD, MSPresented 29 August 2000 to:INTERNATIONAL AIRCRAFT SYSTEMS FIRE PROTECTIONWORKING GROUP

*	**	*
*	**	**	**	*Joe Wolfe
- 				Naval Aviation Systems Team
- 			      	(732) 323-7343

## 737-200 TEST AIRCRAFT

- Aircraft interior and instrumentation shown

- Greenwood, MS test aircraft and test equipment shown

## CABIN FIRE SUPPRESSION

- Backside view and side view of stow bin

- Aircraft constraints followed for low pressure nozzle installation.

## CABIN FIRE SUPPRESSION

- No interference with aircraft systems for low pressure installation

- View between the stow bins

## CEILING WIRE ARC THREAT

- Wire bundles being set in place for wire arc fire above the ceiling test condition

## CEILING WIRE ARC THREAT

- Wire arc event after low pressure water mist application.
- No arcing detected after mist activation.

## AEROSOL GENERATORS

- Large surface area for extinguishing actions
- Small amount required for reliable extinguishing
- Gas-like 3 dimensional distribution
- Long suspension times – micron size particles
- Dual Extinguishing Actions
-  Primary:
- Chemical	- Removal of chain carriers
-  Secondary:
- Physical	- Heat absorption

## 737-200 EE-BAY SUPPRESSION

## 737-200 EE-BAY SUPPRESSION

- Electrically arced cable bundles above fuel source.

- Pyrogen aerosol generator installed in the EE-bay.

## O2 CONCENTRATION

## TEMPERATURE MEASUREMENTS

## CONCLUSIONS

- The twin fluid low pressure nozzles proved highly reliable and maintenance free.
- The installation of the twin fluid low pressure nozzles can be accomplished with minimal aircraft interior configuration changes.
- Low pressures allow for lightweight, flexible material
- The twin fluid low pressure nozzles proved highly effective in suppressing and extinguishing fires during all threat scenarios.
- The Pyrogen Aerosol Generators were highly effective in extinguishing fires in the EE-Bay.

## RECOMMENDATIONS

- It is recommended that this test series be repeated with inclusion of airline industry, FAA and NTSB.
- It is recommended that a subsequent test series be structured to reflect the operating parameters of a production system.
- Pressures should start at 0 psi and ramp up to operating pressure.
- Prototype systems should comply with standard aircraft system design.
- In-flight airflow should be simulated to max. possible.
# Presentation: 742932

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

- Mr. Greg Priddy
- 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 (16.4%)**

**Petroleum (11.8%)**

- United States

- Maldives

- 7.8% / year

- 3.0% / year

## Maldives Per Capita Energy Demand Indices

**Petroleum**

**Electricity**

**Natural Gas**

## Maldives Energy Demand Trends

-  High growth rate in electricity demand (all generated with petroleum products).
-  Growth in petroleum demand likely due to electricity generation and transportation.  Jet fuel is about one-fifth of petroleum consumption.
-  There are likely to be some problems with the data.  Many of the data points are estimated.

## Maldives Petroleum Demand per Capita

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

## Maldives Electricity Demand per Capita

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

## Appendix: Some Simple Forecasting Models

## A Simple Maldives Demand Model

- Variables:
**Demand** = total petroleum demand (barrels per day)
**GDP** = real GDP (billion $, 1990 basis)

## Maldives Petroleum DemandRegression Model 

- Demand = -0.564 + 10.655  GDP
- 				N = 20	R2 = 0.83

## Maldives Petroleum Demand(GDP assumed to grow 7.8% per Year)

## Maldives Electricity DemandRegression Model

- Demand = -0.0221 + 0.3737  GDP
- 				N = 20	R2 = 0.90

##  Electricity Demand(GDP assumed to grow 7.8% per Year)
# Presentation: 749925

## Errors in Satellite-based Precipitation Estimates Over Land

**Errors in Satellite-based Precipitation Estimates Over Land**
**Christa D. Peters-Lidard**
**Physical Scientist and Head, Hydrological Sciences Branch**
**NASA/ Goddard Space Flight Center (GSFC), Code 614.3, **
**Greenbelt, MD 20771**
**Christa.Peters@nasa.gov, 301-614-5811**
**Yudong Tian**
**UMBC-GEST and NASA-GSFC**
**John Eylander**
**Air & Space Models Integration Branch, HQ Air Force Weather Agency**
**Matthew Garcia**
**UMBC-GEST and NASA-GSFC**
**Jing “Lily” Zeng**
**ERT and NASA-GSFC**
- _[http://lis.gsfc.nasa.gov](http://lis.gsfc.nasa.gov/)_

## Objectives

**Extend the work by Gottschalck et al. (2005) and Ebert et al. (2007) to **
**Include gauge-corrected 3B42, CMORPH & AGRMET; and**
**Extend the study period from 1 year (2002) to 3 years (2004-2006). **
**Revisit the CONUS-scale results, and then focus on a smaller scale domain, namely, the Southeast U. S. (SE-US), where TRMM coverage is maximized and the effects of topography are minimized;**
**Examine performance on sub-daily time scales enabled by their **_**>**_**3 hour temporal resolution**

## Satellite-based products

**Tian Y., C. D. Peters-Lidard (2007), Systematic anomalies over inland water bodies in satellite-based precipitation estimates, Geophys. Res. Lett., 34, L14403, doi:10.1029/2007GL030787. **
**Tian Y., C. D. Peters-Lidard, B. Choudhury, and M. Garcia (2007),**** ****Multitemporal Analysis of TRMM-Based Satellite Precipitation Products for Land Data Assimilation Applications, J. Hydromet, Vol. 8, No. 6, December 2007, 1165–1183.**

- References

**TRMM 3B42V6:  **(Huffman 1997; Huffman *et al.* 2001, 2004)
**CMORPH: **(Joyce *et al.* 2004)
**AFWA/AGRMET:****  **U.S. Air Force Weather Agency
- Agricultural Meteorology model.  GEO-IR+SSM/I+Gauge

## JJA05 POD

**CMORPH**

**TRMM 3B42V6**

**AFWA AGRMET**

## JJA05 FAR

**CMORPH**

**TRMM 3B42V6**

**AFWA AGRMET**

## Water bodies and FAR

**Pixels with sub-grid water bodies**

***Tian and Peters-Lidard,***
***GRL, 2007***

## Water bodies and PDFs

***Tian and Peters-Lidard, GRL, 2007***

**Inland**
**Water**
**Bodies**

**Land **
**Only**

**Difference**

**TRMM 3B42V6**

**CMORPH**

**Stage IV**

## Bias Time Series US-East

**TRMM 3B42V6**

**CMORPH**

**AFWA AGRMET**

## Bias Time Series US-West

**Bias Time Series US-West**

**TRMM 3B42V6**

**CMORPH**

**AFWA AGRMET**

## Precipitation PDFS

**Precipitating Days**

**Precipitation Amount**

## FL Summertime Diurnal Cycles2003-2006 Average

## Multitemporal RMSE

**Vs. Stage IV**

**Vs. Higgins**

## Conclusions and Recommendations

**Bias and error scores important “baseline” but POD/FAR and PDF more relevant for applications.**
**Land retrievals need focused attention. **
**Systematic shifts in precipitation PDFs will have significant impacts on surface runoff production.**
**Integrate Bayesian retrievals, ensemble KF merging techniques, models+DA and hydrologic applications **
**Constrain applications using multiple data types**

## Backup

## SEUS Skill Statistics vs. Time

**Bias**

**Correlation**

**RMSE**

**POD**
# Presentation: 781959

## Informal Discussions onProposed 2004 Rate AdjustmentSheila Cook

- April 2003

## Summary

- Final FY 2002 Fry-Ark PRS
- Preliminary Fry-Ark Rate Setting PRS
- Preliminary LAP Rate Adjustment
- Options
- Proposed Schedule

## Fry-ArkFinal FY 2002 PRS Results

- 	     Existing revenue requirement meets all
-             requirements for annual expenses
-                      and capital repayment.
- 		        - no increase is necessary

## Changes made to the FY 02 PRS for the Preliminary FY 03 PRS

- FY 2005 Work Plans (one additional year) increased revenue requirement by 3%
- O&M trend year increased $183k
- Replacements increased $1,441k over the FY 2004 work plan
- Changes to the purchase power and surplus energy sales projections decreased revenue requirement by 7%
- Transmission expense projections increased revenue requirement by 3%

## Slide 5

## Fry-ArkPreliminary FY 2003 PRS(Rate Setting PRS)

-     Existing revenue requirement meets all
- 	 requirements for annual expenses and
- 			     capital repayment
- 	            - no increase is necessary

## Slide 7

## Preliminary Rate Adjustment

- 	     Comparison of existing LAP rate to
-         	         preliminary LAP solution
- 			  21.7 to 24.2 mills/kWh
- 	   	       	(2.5 mills/kWh increase)

## LAP Rate Components

|  | Pick-Sloan WD | Fry-Ark | LAP |
| --- | --- | --- | --- |
| Existing Revenue Requirement | $31,410k | $12,856 | $44,266 |
| Preliminary Revenue Requirement | $36,500k | $12,856 | $49,356k |
| Increase | $5,090k | $0 | $5,090k (11.5%) |

## LAPRate Setting Options

| Option | Composite Rate (mills/kWh) | Percent Change | Implementation Date | Western Division Rev. Req. (millions) | Fry-Ark Rev. Req. (millions) | Capacity Charge ($/kW-month) | Energy Charge (mills/kWh) |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Current Rates | 21.70 |  | Oct 1994 | $31.4 | $12.9 | $2.85 | 10.85 |
| 2 Step | 23.6
24.2 |   8.6%
  2.9%
11.5% | Jan 2004
Oct 2004 | $35.2
$36.5 | $12.9
$12.9 | $3.09
$3.17 | 11.77
12.10 |
| 1 Step | 24.2 | 11.3% | Jan 2004 | $36.4 | $12.9 | $3.17 | 12.07 |

## Slide 11

## Proposed Schedule 

- Informal Meetings – April
- Public Process
- FRN – June 16
- 90 Day comment period (closes Sept 15)
- Formal Meetings (July 14-16)
- Address comments
- Record of Decision (November)
- Rate Announcement (Nov/Dec)
- Implement January 1, 2004

## Other Information

- Materials for formal process will be posted on Website (after June 1st)
- _[http://www.wapa.gov/rm/rm.htm](http://www.wapa.gov/rm/rm.htm)_
- Contact Dan Payton by Email
- dpayton@wapa.gov
- Mailing Address
- Western Area Power Administration
- Rocky Mountain Region
- PO Box 3700
- Loveland, CO 80539
# Presentation: 786420

## Optimal Orbit Transfer Analysis for Advanced Space Systems Spectrum Astro, Inc. Gilbert AZ

**ACCOMPLISHMENTS**
- Multi-Algorithm Trajectory Simulation (MATS) prototype software development for computing accurate results to both low and high-thrust optimization problems. Applicable to both mission analysis and mission planning.
- Multifunctional Stochastic Optimizer (MSOPT) prototype software development that integrates genetic algorithm and simulated annealing techniques into one package.
- High-fidelity models including DE405 Ephemerides are incorporated into the MATS software package.
**COMMERCIALIZATION**
- Spectrum plans to integrate MATS with its ground software package, AstroRT, for marketing as an add-on module.
- Spectrum will offer MATS in its spacecraft development proposals.
- Spectrum will use the unified program MAPS in engineering support services to the space industry.

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

- 1998 Phase II, SS5-075, 9/02

**GOVERNMENT/SCIENCE APPLICATIONS**
- Provided optimal low-thrust strategies for Constellation X (CON-X) and Solar Dynamics Observatory (SDO) planning.
- Currently employed in low/high-thrust trade studies for Next Generation Space Telescope (NGST).
- Flight Dynamics Analysis Branch expects MAPS to be its principal tool for studies involving low-thrust orbit transfer.

**Goddard Space Flight Center**

- Points of Contact:
- 	NASA – Dave Folta (301) 286-6082
- 	Spectrum Astro – Dr. Albert Herman (480) 892-8200

**INNOVATION**
- Prototype computer program, the Maneuver Analysis & Planning System (MAPS) tool, for optimizing a wide variety of advanced mission scenarios.
- Advanced stochastic optimization techniques and modern trajectory computation/optimization methods are integrated into a single, synergistic software architecture.
# Presentation: 301548

## SERVIR and the SIAM National Nodes

**SERVIR**

**NASA/MSFC**
**(Development)**

**CATHALAC/Panama**
**(Operational)**

**National**
** ****Node**

**National Nodes Located At Environmental Ministries of Mesoamerican Countries**

**GUATEMALA**

**EL SALVADOR**

**HONDURAS**

**COSTA RICA**

**PANAMA**

**BELIZE**

**NICARAGUA**

**National**
**Node**

**National**
**Node**

**National**
**Node**

**National**
**Node**

**National**
**Node**

**National**
**Node**

**National**
**Node**

_**PUBLIC INSTITUTIONS**_
**Geography/Mapping**
**Climate/Meteorology/Hydrology**
**Biodiversity (Forest, Protected Areas)**
**Agriculture**
**Disaster  Prevention**
**Other**

**UNIVERSITIES & NON- **_**GOVERNMENTAL **_
**Research/Educational**
**Conservation**
**Other**

_**PRIVATE SECTOR**_
**Hydroelectric **
**Aviation**
**Other**

**MEXICO (Observer)**
# Presentation: 512848

- Tutorial

## Solution Process    

- Gather Information
- Create the Computational Grid
- Set the Boundary Conditions
- Set the Initial Conditions
- Set the Program Control Parameters
- Run WIND
- Monitor the Convergence
- Examine the Results

- This tutorial is documented in full in the WIND User’s Guide:
- www.grc.nasa.gov/www/winddocs/user/tutorial.html
- 			Solution Process:

## Gather Information    

- Subsonic internal flow in a diverging duct.
- Want to know the static pressure distribution and mass flow rate within 10%.
- Inlet flow conditions: *M* = 0.78, *p**t* = 15 psi, *T**t* = 600 oR.
- Reynolds number *Re* = 3.023 x 105.
- Exit static pressure *p* = 14.13 psi.

## Create the Computational Grid    

- 3 zones: 17 x 6, 33 x 11, 17 x 11.
- Grid created algebraically and written in PLOT3D xyz format.
- Converted to a Common Grid (case4.cgd) file using CFCNVT.

## Set the Boundary Conditions    

- GMAN is used in graphical mode to set boundary condition types:
- Subsonic Inflow:   Arbitrary Inflow BC
- Subsonic Outflow:   Outflow BC
- Walls:   Inviscid Walls BC
- Zone interfaces identified automatically and coupling information was written to the Common Grid (case4.cgd) file.
- Further boundary condition inputs were specified in the Input Data file (case4.dat).

## Set the Initial Conditions    

- Create the initial flow field as a uniform flow using the
- freestream conditions as set by the freestream keyword
- in the input data file (case4.dat).

## Set the Program Control Parameters    

- Physical Model Controls:
- Dimensionality (3D, 2D, axisymmetric)
- Flow Equations (Euler, PNS, thin-layer NS, RANS)
- Turbulence Model
- Gas Model & Chemistry
- Numerical Model Controls
- Time Stepping
- Explicit and Implicit Numerical Operators
- Damping Scheme
- Convergence Acceleration
- Convergence Monitoring Parameters

- Set the Program Control Parameters

## Run WIND    

- Run WIND using the WIND script.
- wind –runinplace
- Specify use of WIND 5
- Specify name of input data file prefix, case4.
- Run interactively.
- Default names for solution, grid, and output files.
- Initial flow solution created.
- List Output to a file, case4.lis.

- Run WIND

## Monitor the Convergence    

- RESPLT used to extract residuals and mass flow from List Output file (case4.lis) and to create a GENPLOT file.
- CFPOST can be used to plot the GENPLOT files containing convergence data.

## Examine the Results    

- Wall static pressure distribution

- Computed results stored in the Common Flow (case4.cfl) file.
- Results processed using CFPOST.

- Static pressure field
# Presentation: 665943

## Status of Selected Current CDM Work at Volpe

- Rick Oiesen
- 14 December 1999

## Current Work Items

- Centralized database of reroutes (deployed May 2000)
- A list of current national reroutes will be shown on the DataGate.
- A list of current reroutes will be appended to the end of every advisory concerning reroutes.
- RVR
- Data should be available from 31 TRACONs.
- The airlines will see the same data that the controllers see.
- After internal review, a requirements document will be reviewed with the airlines.
- RVR data cannot be acquired by Volpe until ETMS gets its bandwidth increase.
- CTAS data from DFW (Summer 2000)

## Current Work Items (continued)

- SMA/Arts Data  from Dallas, Chicago, and New York (December 2000)
- Data will be sent in the current SMA format, which can be read by the Metron display tool.
- Data will also be available in the TZ format used in the ASDI feed.  An ICD will be available from Volpe in a few days.
- Arrival/Departure trade-off tool.
- First step is to use St. Louis as a case study to confirm that this tool can increase throughput.
- Eugene Gilbo will meet with TWA and FAA in St. Louis on December 17.
- If the first step is successful, the next step is to write an operational concept.
- Metron will implement this tool on FSM.

## Planned Work on Flow-Constrained Areas

- Phase 1(May 2000, ready for testing): Capabilities for the TSD User
- FAA user can define an FCA
-  Area (shown by clicking)
- Upper and lower altitude
- Direction of movement
- Speed of movement
- Start and end time.
- FAA user can see what flights intersect an FCA.
- Phase 2 (May 2000): Airline user can see what flights intersect an FCA defined by the FAA
- Phase 3: Airline user can define an FCA and see what flights intersect it.

## Upcoming Weather Products for the Volpe Web Site

- Lincoln Labs (Available in a week or two.)
- Integrated Terminal Weather System
- Terminal Convective Weather Forecast Product
- Aviation Weather Center
- Late January 2000: Aviation Digital Data Services web site.
- March 2000: National Convective Weather Forecast Product.  This is an NCAR product.

## How Weather Products Will be Made Available on the Volpe Web Site

- A link on the DataGate will send the user to the site at the AWC or Lincoln Labs.
- AWC and Lincoln Labs have separate web servers dedicated to CDMnet that are isolated from their Internet servers.
- A user will not be able to click on a link and get routed to some other site on the Internet
- That is, routing to the Internet will not be allowed through the DataGate.
- While Java is not used on the DataGate, it might be used on sites that the DataGate links to.
- There are only links to trusted sources.
- An airline could disable Java if it wished.
# Presentation: 685799

## High Reliability Long-Term Lubricators

-   Developed long term time-dependent shrink-polymers for 		dispensing lubricants
-   Validated a new use for shrink-polymers as implants for long 		term drug-infusion pumps
-   Patents obtained for new shrink-polymer applications
**                         ****COMMERCIALIZATION**
-   A major automotive supplier has committed for $500K in follow-		on funding for an annual automotive market estimated at $100M 	annually
-   Major drug companies are evaluating a universal drug-		dispensing implant that uses viscoelastic technology
-   Subsequent Phase I and II SBIR awards from both Army Tank 		automotive and Armaments Command (TACOM) and the Air 		Force based on shrink-polymers

***The Technology Partnership***
***Grosse Ile, MI***

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

** ****GOVERNMENT/SCIENCE APPLICATIONS**
-  Assured lubrication of satellite spin-motors with 80%
-     reduction in lift weight over mechanical lubricators
-  Lubricator has the potential to make substantial 		    improvements in maintenance costs and reliability of     U.S. Army tactical vehicles

- Lewis Research Center
- January 1998

**High Reliability Long-Term Lubricators**

***Shrink-Polymer Dispenser***

- 1992 Phase I, NAS3-26844, SS-181
- NASA Contact - Robert Fusaro

**INNOVATION**

- Dispensing lubricant for multi-year durations using the viscoelastic effects of polymers

- Photo courtesy of TACOM - Glen Steele