BEE-spoke-data/govdocs1-by-extension huggingface dataset:
# Presentation: 880773

## Custom Opto-Electronic CrystalsScientific Materials Corporation, Bozeman, MT

**Innovation**
- Crystal growth techniques for the efficient, cost effective production of custom crystalline materials for opto-electronic applications
**Accomplishments**
-     Delivery of high quality custom manufactured crystal 		 products for space based lasers
-      Developed growth techniques for lower cost production of         	 multiple crystal compositions for material properties studies
-  	 Developed growth techniques for a wide range of high    	 melting point oxide crystals, including simple oxides, 		 silicates, molybdates, tungstates, YAP, as well as various 	 garnets containing combinations of yttrium, gadolinium, 	 aluminum, scandium and gallium
**Commercialization**
-  	 Micron systems for heart puncture surgery
- 	 Four custom crystal growth programs ranging from the 	 supply of spectroscopic samples to the development of new  	 dopant-host combinations
-  	 Marketed in the U.S., Japan, and Europe
-  	 Over 250 custom crystals sold to government and industry  	 Over 1000 components and spectroscopic samples       	 sold to government and industry
-  	 Custom crystal product line experienced a 300% growth 	 rate for 1997-1998

-                **Custom Opto-electronic Materials**
**Government/ScienceApplications**
-      NASA - Custom/research laser systems; thermal emitters for 	 	 power generation
-      US Air Force - Optical limiters work for aircraft safety; research     	 	 funded by a $3,000,000 Phase III program
-  	 DOD/USAF - Coherent laser radar systems; optical memory and 	 	 signal processing systems
-  	 DOE - Next generation solid state laser system for laser fusion 	 	 cooling of solids
- Points of Contact:
- NASA:     Norman P. Barnes (757) 864-1630; n.p.barnes@larc.nasa.gov
- SMC:       Ralph L. Hutcheson (406) 585-3772; scimat@avicom.net
- 	           http://www.scientificmaterials.com
**NASA Langley Research Center**
**1991 Phase II - Last update 4/99**
# Presentation: 458355

## A Magnetic Study of the San Marcos Pueblo Archaeological Site

- Kris Mac LennanUC BerkeleySAGE 2005

## What Is Magnetics?

- Magnetic Susceptibility	- J = k * H
- Induced magnetic fields	- Magnetite and other minerals in rocks
- Remnant magnetization	- Thermoremnant magnetization	- Depositional remnant magnetization

## Why Use Magnetics?

- Good for detecting magnetic anomalies:
- Subsurface metallic objects
- Backfill in dug-out areas – often significantly different from surrounding soils
- Non-invasive technique
- Easily obtained approximate depths
- Easy to cover large areas in small amounts of time

## SanMarcosPueblo

## NE Site

Room block
      18

- Room block
-       18

## SE Site

Room block        28

- Room block        28

## SE Site

Room block        28

- Room block        28

## Kiva A Magnetic Line

## Kiva A Magnetic Model

## Conclusions

-  Kiva A site may actually contain a kiva!
-  Room-block 18
- linear low-susceptibility structure
- large, roundish anomaly
- Room-block 28
- several large, long, linear features
- possibly two midden or kiva structures
- Both 18 and 28 have several relatively shallow but sharp anomalies – most likely small metal objects

## Future Plans

- Continue to study and interpret data for a senior thesis at UC Berkeley
- Create and refine 2 3⁄4-D models to describe anomalies seen
- Analyze in more detail magnetic data collected both at SAGE 2005 and SAGE 2004

- The “Volkswagen” Anomaly!

## Acknowledgements

-  John Ferguson, for his guidance as team advisor
- Jeremy Gunter, for getting the mag data to me quickly and in good condition
- Louise Pellerin, for getting me interested in magnetics and magnetic methods in geophysics
-  George Jiracek, for explaining the technical details and making sure I know the basics
- Darcy McPhee, for helping me make sense of what everything actually meant
- SAGE 2005, for being a wonderful experience!
# Presentation: 918605

## FDA Radiological Health:Reflecting on the PastLooking to the Future

- Lillian J. Gill, Ph.D.
- FDA Center for Devices and Radiological Health

- Radiological Health Stakeholders Meeting, Oct 31 – Nov 1, 2005

## “The Waterfront”

- “The Waterfront”

## Product environment 
Markets are global
Manufacturing processes have advanced
Effective consensus standards in place
Public health needs
Product problems addressed
Issues more related to product use
CDRH resources
Focus on medical devices
Staff and expertise declining

- Product environment
- Markets are global
- Manufacturing processes have advanced
- Effective consensus standards in place
- Public health needs
- Product problems addressed
- Issues more related to product use
- CDRH resources
- Focus on medical devices
- Staff and expertise declining

- What’s Changed Since 1968?

## What hasn’t changed since 1968?

- Our public health mission
- To protect the public from hazardous or unnecessary electronic product emissions
- Our commitment to that mission
- Refocused to address today’s public health problems

## Looking to the future...

- Adapt to the changing standards environment
- Monitor the risks posed by radiation-emitting products
- Provide useful public health information and training to industry, users, the public, and regulators
- Conduct research with practical applications
- Manage the program to maximize public health impact

## Looking to the future...

- and working together
- Stay connected
- Continue to collaborate wherever possible
- Remain committed to advancing radiation protection and public health
# Presentation: 715502

**“****Workhorse” Modeling 2015? **

- Cliff Glantz
- Pacific Northwest National Laboratory
- _[cliff.glantz@pnl.gov](mailto:cliff.glantz@pnl.gov)_    509-375-2166

## Dispersion Modeling 2015

- Where will we be in seven years?  In 15 years?   What do we expect to be doing for a workhorse model?
- Can we identify a single dispersion model or framework to suit our site-based workhorse modeling needs?

## Current Workhorse Models

- APGEMS
- RASCAL
- CAPARS
- RSAC and INL-Viz
- Puff/Plume and RAMs-LPDM
- MIDAS
- Hysplit
- For how long should we continue to develop and operate different models for use in our EOCs?

## Options...

- Is there a common framework we can use?

## Options...

- Is there an existing model that we can choose to use?
- If not the same model at every site, is there one that can fill the needs of a healthy subset of the sites?
# Presentation: 350231

## Calorimeter Calibration Status 

- _Calorimeter Calibration Status_

*Mingcheng Gao *
-            Columbia University

** ****Hardware Debugging**
** ****Dual Run (SCA test)**
** ****Triple Run (Timing)**
** ****First Jets of Run II**

*(calorimeter electronics)*

- Calorimeter Group Report

## Hardware Debugging Using Pulsar System 

- Calorimeter Group Report

## Dual Run: one channel are read out twice for comparison 

- 3 debugging modes added in new BLS
-  L1 holding  L1 SCA
-  L2 holding  L2 SCA
-  x1/x8 dual gain v.s. force x1/x8 gain  gain selection
-          *recall:  x8 gain for small signal (pulse size 5000) *
*                     **x1 gain for large signal  (pulse size 20000)*

- Raw data are made into Root Format (package by Laurent)
- Root Macro used to analyze data and plot (Shaohua Fu)

- Calorimeter Group Report

## Dual L1 holding, pedestal, 1 event

- Calorimeter Group Report

## Dual L2 holding, pulse size 5000 , 1 event

- Calorimeter Group Report

## x1/x8 dual gain, pulse size 20000

- Calorimeter Group Report

## Triple Run  timing 

- One signal is readout three times
- two ratios are calculated
- Earlier/Normal ~< Later/Normal < 1

- time

- Earlier      Later
-          Normal

-  Timing adjustable for each crates (4608 channels)
-  Also for 2 ADC cards (768 channels)
-  Using real data (raw  root  macros)

- Calorimeter Group Report

## Based on ~ 1,800 events from Triple_run 124534 (half crates) 

- Based on ~ 1,800 events from Triple_run 124534 (half crates)

- Channels with ADC > 50

***Channel ID is packed  (crate,ADC,BLS,Tower,Depth)***
***# Total channel 55296 (= 12  x  12  x  8  x 4  x  12 )***

- Filtering cuts:
- Normal ADC > 50
- No upper cut yet
- Crate Occupancy < 30%
- Channel fired times < 5%
- Crate Status = 0

- Calorimeter Group Report

## CC Crate 02: Distribution of the two ratios  

- CC Crate 02: Distribution of the two ratios

- Calorimeter Group Report

## CC Crate 2 (cont’d)

**CC Crate 2 (cont’d)**

- Calorimeter Group Report

## EC Crate 4

**EC Crate 4**

- Calorimeter Group Report

## First Jets in Run II

- _First Jets in Run II_
*                          **Plots  from  Vishnu V. Zutshi (BNL)*
-            http://d0server1.fnal.gov/users/zutshi/first jets.ppt

**SUMMARY**
-  Nearly all hardware installed
-  Most electronics working well
-  Timing is generally correct
-  Continue with bad electronics debugging
-  Software on its way: hot cell killer, validation code,
-                                  coherent noise study, etc.

- Calorimeter Group Report

## ... coming up next : First Electron ...

***... ******coming up next : First Electron ...***

- Calorimeter Group Report
# Presentation: 736684

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

***Total SARs: 32,844***

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

## Characterizations of Suspicious Activity for the State of Indiana

- 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 Indiana**
**For the Period April 1, 1996 through December 31, 2007**

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

***Total SARs: 2,519***

- 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 Indiana

**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 Indiana

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

**Note: Statistics based on Filer Branch Address**
# Presentation: 508550

## Acquisition Workforce Locations

**Acquisition Workforce Locations**

**CA**

**NV**

**HI**

**AZ**

**ND**

**SD**

**WY**

**UT**

**CO**

**IA**

**NE**

**MO**

**KS**

**MN**

**WI**

**MI**

**IL**

**IN**

**OH**

**NH**

**VT**

**MA**

**CT**

**RI**

**NY**

**NJ**

**PA**

**DE**

**MD**

**WV**

**VA**

**KY**

**TN**

**NC**

**SC**

**GA**

**AL**

**MS**

**FL**

***Pacific Rim***
***Region 09***

***Northwest/Arctic***
***Region 10***

***Rocky Mountain***
***Region 08***

***The Heartland***
***Region 06***

**NM**

**OK**

**TX**

**AR**

**LA**

***Greater Southwest***
***Region 07***

***Southeast***
***Region 04***

***Great Lakes***
***Region 05***

***New England***
***Region 01***

***Northeast &***
***Caribbean***
***Region 02***

***Mid-Atlantic***
***Region 03***

**MT**

**ME**

***National***
***Capital***
***Region 11***

**Attachment 5**

**Notes:**
This chart depicts where GSA’s acquisition workforce is located.
Region 1- the New England Region  is comprised of Maine, New Hampshire, Vermont, Massachusetts, Connecticut and Rhode Island.
Region 2 – the Northeast and Caribbean Region  is comprised of New York, New Jersey and Puerto Rico.
Region 3  - the Mid-Atlantic Region is comprised of Pennsylvania, West Virginia, Maryland and Virginia outside the capital beltway.
Region 11 - the National Capital Region is comprised of Washington DC and locations inside the capital beltway in Maryland and Virginia.  GSA’s headquarters is also located in Washington, DC.
Region 4 – the Southeast Region is comprised of North and South Carolina,
Kentucky, Tennessee, Mississippi, Alabama, Georgia and Florida.
Region 5 – the Great Lakes Region is comprised of Minnesota, Wisconsin, Michigan, Illinois, Indiana and Ohio.
Region 6 – the Heartland Region is comprised of Iowa, Missouri, Kansas and Nebraska.
Region 7 – the Greater Southwest Region is comprised of Arkansas, Louisiana,
Texas, Oklahoma and New Mexico.
Region 8 – the Rocky Mountain Region is comprised of North and South Dakota, Montana, Wyoming, Utah and Colorado
Region 9 – the Pacific Rim Region is comprised of Nevada, Arizona, California and Hawaii.
Region 10 – the Northwest/Arctic Region is comprised of Washington, Oregon, Idaho and Alaska.
# Presentation: 723480

## In Vitro Absorption Of Permethrin Through Human Epidermis

**Registrants Meeting with EPA, April 3, 2007**
**Presenter:**
**Nasser Assaf, Ph.D.**
**Valent BioSciences Corporation**
**Libertyville, IL**

## Regulatory Guidelines and Guidance Documents 

-  European Commission Guidance.
-    Document on Dermal Absorption

-  OECD Test Guideline 428

-  OECD Guidance Document No. 28

## STUDY COMPLETION DATE: 

**	****	**12 December 2006
**PERFORMING LABORATORY: **
- 		Central Toxicology Laboratory		Alderley Park, Macclesfield		Cheshire, SK10 4TJ, UK
**SPONSOR: **		Sumitomo Chemical Company Ltd		27-1, Shinkawa 2-chome, Chuo-ku,		Tokyo 104-8260, Japan

## Purpose

**Purpose**

## Justification for Test System Selection

**Justification for Test System Selection**

## Study Design

-  The formulation was applied to the
-    epidermal membranes at a rate of 10μl/cm2

-  The receptor fluid was sampled over the 24h
-    experimental period at intervals of 1, 2, 3, 4,
-    6, 8, 10, 12, 16, 20 and 24 hours

-  This application was designed to simulate
-    potential human dermal exposure to the
-    formulation during normal use

## Study Design (cont.)

-  At the end of the experimental period (24h),
-   the distribution of Permethrin within the test
-   system was calculated and an absorption
-   profile (μg/cm2/h) was determined (skin wash,
-   donor chamber, *stratum corneum, *epidermis,
-   and absorbed amount).

-  The contact period was 0-6h, after which time
-    the surface of the epidermis was washed.

## Definition of Absorbed Permethrin

**Definition of Absorbed Permethrin**

## Results 

-  The fastest rate of Permethrin absorption (mean
-    0.046μg/cm**2**/h) took place during the 0-6h contact
-    period.

-  The rate subsequently decreased to 0.027μg/cm**2**/h
-    between 6-24 hours.

-  The mean amounts absorbed during typical working
-    day periods of 6, 8 and 10 hours were 0.270, 0.350
-    and 0.412μg/cm**2**, respectively

## Results (cont.)

-   of the applied dose were 0.267, 0.346 and 0.408%

-  The amount absorbed over the entire 24 hour
-    exposure period was 0.759μg/cm**2** (0.751% of the
-    applied dose)

**Results** (cont.)

## Summary Of Permethrin Distribution In The Test System

**Summary Of Permethrin Distribution In The Test System**

## Profiles Of Permethrin Absorption

**Profiles Of Permethrin Absorption**

## Conclusion

-       formulation was very slow through human epidermis,
-       when compared with the absorption rates of other
-       penetrants measured using this *in vitro *technique.

**Conclusion**

-  2.  The vast majority of the test material remaining on
-       the surface of the skin was readily removed by skin
-       washing at 6 hours.

## Conclusion (cont.)

-       of Permethrin from potential exposure to this 10g
-       Permethrin/L formulation, during normal use, would
-       be low.

- 3.   The proportions of Permethrin recovered from
-       the *stratum corneum* decreased with increasing
-       depth into the membrane, and represented a
-       very small fraction of the applied dose,

**Conclusion (cont.)**

## Slide 15
# Presentation: 255823

## GEANT simulation frameworkfor theEIC detector studies

## STAR GEANT framework

- GSTAR framework: STAR + GEANT
- GEANT version: 3.21
- The GSTAR framework allows to define the definition of
- Geometry
- Hits
- Digitization
-     by means of simple module files (Fortran/ASCII type statements) which are then translated into the actual             Fortran GEANT user code with explicit calls to GEANT routines
- Besides avoiding repeated explicit GEANT calls, the GSTAR framework automatically handles:
- Media numbers
- Rotation matrix numbers etc.
- Full I/O interface can be used

- Thanks to Pavel Nevski!

## EIC detector simulation

- Adopt existing GSTAR framework for EIC detector studies
- Provide basic detector layout for initial studies
- Provide machinery to use this code on different platforms (makefiles, steering files etc.)
- Collect various event generators for ep/eA studies
- Document and distribute software through EIC detector design WWW page
- Setup CVS repository to allow several users to work on the actual GEANT code together

## EIC detector simulation 

- Rear

- Forward

- Barrel

- Tracking/Particle ID

- Muon system

- calorimeter

- Note: Very forward and rear detection systems are not shown!

- Rear
# Presentation: 202163

## Hemophilia Federation of America Comments for the Transmissible Spongiform Encephalopathies Advisory CommitteeNotification of Risk Assessment

- Jan Hamilton,
- Advocacy Director
- December 15, 2006

## The Issue

- How to communicate the risk of transmission of vCJD to the plasma user community?
- Information must be comprehensible and delivered in clinical setting
- Deter panic/allay fear
- Discuss stigma of social alienation
- Provide available factual information
- Respond to questions
- Determine strategy to minimize loss of access to medical services

- Hemophilia Federation of America

## Considerations for Risk Assessment and Risk Communication Strategy

- Risk assessment should be communicated to all physicians who provide services to individuals with a bleeding disorder
- Effort to accommodate those who do not visit an HTC, hematologist and/or who are geographically isolated

- Hemophilia Federation of America

## Considerations for Risk Assessment and Risk Communication Strategy

- Communication of theoretical risk of vCJD must be forthright and honest
- Never forget the HIV/AIDS contamination of the blood supply in the 1980’s
- Members of the bleeding disorders community were stigmatized and unduly threatened because of the fears associated with HIV/AIDS

- Hemophilia Federation of America

## The biggest RISK of all

- If the risk is considered to be as LOW as stated, can a strong recommendation be made that hemophilia patients need not be treated any differently from other patients?
- The biggest risk of all is the risk of being denied access to care
- From physicians and surgeons
- From the reimbursement arena

- Hemophilia Federation of America

## Considerations for Risk Assessment and Risk Communication Strategy

- Clarify incubation period
- The risk assessment states the incubation period is immediate to as long as 30 years
- Explain lack of symptoms during the incubation period
- Clarify omission of pdFIX from assessment
- Is there another risk assessment for pdFIX or is there a reason this is not included?

- Hemophilia Federation of America

## Is there a need for fractionators to disclaim risk of using a product with plasma derived material?
Will fractionators be able to accommodate a possible exodus to recombinant product? 
vWD  patients and other patients who do not respond to recombinant products will continue to REQUIRE plasma derived products

- Will fractionators be able to accommodate a possible exodus to recombinant product?
- vWD  patients and other patients who do not respond to recombinant products will continue to REQUIRE plasma derived products

- Considerations for Risk Assessment and Risk Communication Strategy

- Hemophilia Federation of America

## Conclusion 

- Further surveillance is essential
- Develop a database of volunteers willing to give advance directives for an autopsy
- Maintain support of the ongoing UDC study directed by the CDC through the HTCs
- Maximize use of leukocyte reduction technology for blood
- Fast track development of a test to identify vCJD and technology to eliminate it from blood and blood products.

- Hemophilia Federation of America
# Presentation: 226792

## LI Status @ ND

- Simona Murgia
- Tingjun Yang
- Stanford University
- Outline:
- TCAL update
- Pin diode (Alysia Marino, Tingjun Yang)
- Summary

## TCAL - Ext Trigger

- When we first tested running LI at the ND in external trigger mode, we observed significant disturbances in the TCAL signal. Gary Drake fixed this problem by modifying the TCAL drivers and by adding a 50 termination at each of the pulser boxes
- Snapshot of oscilloscope screen showing TCAL and trigger PMT signals when running in ext trigger mode:

-  ~ 800 ns delay of trigger PMT
-  Residual ringing (< 0.5 V) not large
-    enough to cause spurious triggering.

- Latency

- Residual ringing

## 
In addition to external triggering, TCAL  can be used to flag LI digits when they fall within a TCAL generated time window. 
Window settings (delay and width) are adjustable parameters in the run type editor.  By looking at raw data for a few channels and at the LI summaries for the whole detector, we determined that with width=20 buckets and delay=40 buckets LI should not leak into data.
We find good agreement between TCAL and trigger PMT LI data:

- In addition to external triggering, TCAL  can be used to flag LI digits when they fall within a TCAL generated time window.
- Window settings (delay and width) are adjustable parameters in the run type editor.  By looking at raw data for a few channels and at the LI summaries for the whole detector, we determined that with width=20 buckets and delay=40 buckets LI should not leak into data.
- We find good agreement between TCAL and trigger PMT LI data:

- TCAL Window

## TCAL  

- TCAL

-  TCAL driven LI is now the default in LI interspersed in physics runs. Need to make sure no LI leaks in data.
-  Problems needing further investigation:
- Plane 27 - missing entries in LI summaries when running with TCAL. This problem only appeared recently and performance deteriorated within a few days. Need to  look at raw data.
- Plane 40 – Faulty minder. Has been there for a while. Need to look at raw data.
-  ~ 20 faulty channels. Probably just need to replace menus.

- TCAL

- Trigger PMT

## Pin Diode Readout(Alysia Marino, Tingjun Yang)

-  Low signal/noise ratio in the pin diode readout has been observed for quite sometime. A few channels have been modified to 10x gain to boost signal, but the noise increased by the same amount.
- Alysia and Tingjun performed a Fourier analysis to determine origin of noise, and found only white noise. Also, channels with no pin readout show same noise.
- Few more channels in the  pin diode cards have been modified (Gary Drake, Bill Luebke) to try to reduce the noise (increase gain at earlier stage of amplification).  But now pin signal does not fit in the 12 bucket readout. Gary  will modify the minder card to add a time delay/more buckets to the readout.
# Presentation: 691392

## ADS-B:Operational Evaluation (OpEval)

**Captain Bob Hilb                            **UPS Airlines/Cargo Airline Association
- May 9, 2000

## Agenda

- OpEval 1
- OpEval 1 Final Report
- Fleet Wide Certification
- OpEval 2
- Cost Benefit

## ADS-B OpEval

**ADS-B OpEval**

- July 1999 - Operational Evaluation Wilmington, Ohio
- Demonstration of air-air capabilities
- pilots maintained precise spacing in traffic pattern
- planned 95 approaches - completed 217
- Very positive results

## OpEval Final Report

**PHASE I – OPERATIONAL EVALUATION**
**FINAL REPORT**
**CARGO AIRLINE ASSOCIATION (CAA)**
**FAA SAFE FLIGHT 21 PROGRAM**
**APRIL 10, 2000**
**PREPARED BY**
**OPERATIONAL EVALUATION COORDINATION GROUP (OCG)**
**ADS-B.COM**

## Flight crew perception of CDTI Summary 

**Crews were mixed on the use of the CDTI system as an aid to surface awareness**
**Crews agreed that the CDTI was an aid during departure and en route flights**
**Crews agreed that the CDTI was an aid to station keeping during in-trail or lead climbs and descents**
**Crews agreed that the CDTI was very useful as an aid to visual acquisition during IMC and VMC, and that it assisted spacing during visual approaches**
**Crews found the workload acceptable, although there appears to be some evidence of distraction, and issues related to head-down time, which may be due to unfamiliarity with the CDTI**

## Controller Perceptions of CDTISummary

**Positive effects on aircrew capabilities, controllers’ ability to maintain safe and efficient traffic flow, and providing control information**
**Positive effect on sequencing, issued less spacing info. (1 of 4 positive comments)**
**Aircraft cleared to follow on downwind turned earlier and followed closer**
**Concerns about increased pilot requests, aircraft following too close, call sign confusion, and pilots following traffic only seen on CDTI **
**Concern over pilots’ use of info on CDTI to initiate requests for sequencing or to question controller intentions thus increasing controller workload and interfering with control operations  (All 3 controllers made this comment)**

## Slide 7

## Slide 8

## Fleet Wide Certification

- Improvements from OpEval 1
- Enhanced See and Avoid
- Conflict Situational Awareness
- August 00

## OpEval 2

- Louisville
- Last week in October 00
- Applications
- Final Approach Spacing
-  Departure Spacing
-  Runway and Final Approach Occupancy Awareness
-  Enhanced Surface Situational Awareness
-  ADS-B Enhancement of Terminal Radar

## Benefits

**Benefits**

**3 Programs:**
**SDF Study (GMU)**
**C/AFT**
**Safe Flight 21 Cost Benefit Team**

## Histogram of Aircraft Inter-Arrival data showing

- estimate of the Probability Density Function versus
- the desired Wake-Vortex separation time

## Slide 13

## Conclusions

- ADS-B ready for operational deployment
- Combined with Capstone work a solution for high and low altitude Gulf Airspace
- Only solution that combines air-to-air and air-to ground safety and operational benefits
# Presentation: 489230

## MH2 Regulation Problems

-  It is rated for 60V, 1kA, but has run at ~62V for years.
-  Regulation problems occur at ~63V – VERY sensitive to line voltage.
-  MiniBooNE events cause line voltage to sag, which results in MH2 regulation problems.
-  Power supply seems to be deteriorating.
-  Have been lowering current setting and retuning line to compensate, but reaching the limit.
-  New supply (75V) ready for installation.
-  Need about a shift.

- Effect on MiniBooNE intensity
# Presentation: 918372

## North America - Better understand 

- variations of wet season
- (1966 - 2001)
- South America - Compare observed precipitation with
- that from 24 member average of
- ECHAM 4.5 Atmospheric Model
- (1976-2001)

- Onset and End of the Wet Season
-  in the Americas
- and comparisons with the
- ECHAM 4.5
- Atmospheric General Circulation Model

- Brant Liebmann - CIRES
- Jose A. Marengo CPTEC Brazil
- Dave Allured - CIRES
- Leila Carvalho - University of Sao Paulo
- Gary Bates - CIRES
- Carolina S. Vera - University of Buenos Aires
- Nick Bond - JISAO, Seattle, Washington
- David Gochis - NCAR
- Ileana Blade - University of Barcelona
- Suzana Camargo - IRI, Palisades, New York
- Rong Fu - Georgia Tech
- Anji Seth - University of Connecticut

## We wish to thank the following agencies for providing the data used in this study:

*Agência Nacional de Águas (Brasil)*
*Agência Nacional Energia Elétrica (Brasil)*
*U.T.E. Uruguay*
*C.T.M. Salto Grande*
*Servicio Meteorologico Nacional (Argentina, Mexico, Paraguay, Uruguay)*
*FUNCEME (Ceará, Brasil)*
*U.S. National Climatic Data Center*
*IAPAR - SIMEPAR (Paraná, Brasil)*
*DAEE (São Paulo, Brasil)*
*Minesterio del Ambiente y los Recursos Naturales (Venezuela)*
*Meteorogische Dienst Suriname*
*METEO-France*
*ASANA (Bolivia)*

## Annual Total Precipitation

## Slide 4

## A = ‘Anomalous Accumulation’

*A* = ‘Anomalous Accumulation’

*R* = daily rainfall

- = Annual daily average

## start

- end

- length

## Slide 7

## Slide 8

## Slide 9

## Slide 10

## May - September Total Precipitation

- correlation

## Slide 12

## Slide 13

## Slide 14

## Compare Observed South American Precipitation with

- that from 24 member average of
- ECHAM 4.5 Atmospheric Model
- 1976-2001
- Observations and model at same resolution
- ~ 2.8° x 2.8°
- Model: T42 horizontal; 19 vertical

## Annual Total Precipitation

## Difference in Annual Total

- (model minus observations)

- What is the cause of the bias in annual totals?

## Average Onset Date

- Jun

- Apr

- May

- Mar

- Feb

- Jan

- Dec

- Nov

- Oct

- Sep

- Aug

- Jul

## Length of Rainy Season

## Model Length Minus Observed Length

## Improvement or Worsening by Substitution

## Variance of Annual Total Explained:

- by Wet Season Length

- OBSERVATIONS

- by Wet Season Rate
# Presentation: 334762

## 	Archived Information Science for Students with Disabilities:Good for Students, Good for Science!

- Thomas E. Scruggs
- George Mason University

## Students with Disabilities	

- 13.2% of all students
- 6,195,113, 30% increase in past decade
- 75.9% served 40% or more in general education classrooms

## Science is important for students with disabilities

- Promotes alternative means for extending our physical and sensory abilities
- Promotes, encourages, and develops thinking skills
- Serves to finding order in the observed universe
- promotes learning for those who learn best by doing

## Science

- Accomodations can benefit all students
- Can be particularly relevant
- Hands-on science instruction can be very effective and can minimize achievement differences

## Slide 5

## Slide 6

## Assistive Technologies

- Communication
- Communication boards
- Speech recognition, Close captioning
- Text readers, Web readers
- Electronic switches
- Science
- Accessible lab furniture
- Microscope cameras, tactile graphics
- Talking calculators, liquid level indicators
- Braille thermometers, light sensors
- 3-D interactive models

## Good for Science

- 13.2% of school children K-12 identified with disabilities
- Only 6% will become scientists
- Science education can increase career opportunities can help increase the number of scientists and engineers.

## Science Teachers with Disabilities

- Presently greatly underrepresented
- Can provide additional pool of potential science teachers
- Can provide role models for students with and without disabilities

## Abraham Nemeth (1996)

- ...a blind person who is adequately trained in his field and who has mastered the skills of blindness can function as competently and as productively as anyone else as a mathematics teacher, and that his blindness need not be an obstacle in choosing that career.
# Presentation: 396668

**(Bad) News from Cracks**

**Robert Zitoun**
**Stony Brook and LAPP **
** ****CAT Force Meeting**
**May 27, 2003**

- R. Zitoun, Stony Brook and LAPP           CAT force Meeting

- 27 May 2003

## New Track Matching

- Rewrite track matching code to allow for better resolution
-   modulation ± 5 mm. Period 0.05 (EM3 period)
-   modulation ± 5 mm. Period 0.2   (crack period)
- Note: extrapolation made with ET.Have to correct ET in the crack torecover same field integral

- R. Zitoun, Stony Brook and LAPP           CAT force Meeting

- 27 May 2003

## How wide is the crack

- Crack with calo position(standard)
- Correct calo position
- Extrapolate tracks and plot track  (mod 0.2)Loss smaller than previously thought
- Moreover: analyzed clusters are matched
- 	by present tracking (might be even better)

- track angle

- cluster angle

- corrected cluster angle

- R. Zitoun, Stony Brook and LAPP           CAT force Meeting

- 27 May 2003

## Energy Loss in the Crack

- Oleg	gauss(20%,  = 15mrad)
- Best (mass)	gauss(21%,  = 16mrad)
- “mine”	gauss(20%,  =   7mrad)

- track angle

- cluster angle

- corrected cluster angle

- R. Zitoun, Stony Brook and LAPP           CAT force Meeting

- 27 May 2003

## Detailed Crack Study

- Shower shape affected by crack
- Correct cell with gauss(20%, 8 mrad)

- R. Zitoun, Stony Brook and LAPP           CAT force Meeting

- 27 May 2003

## Energy correction in the crack

- Brute or cell correction equivalent
- Not perfect
- No effect above 0.02 mrad
- 	(even in not corrected angle)

- track angle

- cluster angle

- R. Zitoun, Stony Brook and LAPP           CAT force Meeting

- 27 May 2003

## Z mass

- p13.05 + p13.06 + r13.06 (jonas)
- certified + matched
- still 1.7 GeV mass differenceclose/far crack
- not the crack itself? statistics?

- crack<0.05
- 89.6 GeV
- 3.6±0.2%

- R. Zitoun, Stony Brook and LAPP           CAT force Meeting

- 27 May 2003
# Presentation: 262519

## Integrating LAS, OPeNDAP, GIS & THREDDS

- Steve Hankin, **Jonathan Callahan**, Roland Schweitzer, Kevin O’Brien, Ansley Manke, Xiaoping Wang

## Current LAS – GIS Connections

- LAS can output GIS ASCII raster product
- LAS UI can connect to a GIS back end
- LAS offers OPeNDAP URLs for all data(some GIS applications read OPeNDAP)

## Slide 3

## Future LAS – GIS Connectivity

- LAS will become an OGC compliant Web Map Server
- LAS will become an OGC compliant Web Coverage Server
- LAS will be able to send incoming requests to other web services

## Current LAS

## New LAS

## LAS Rewrite

- Rewrite LAS Product Server in java
- Complete separation of data server and back end services
- More robust
- More flexible
- Using newly available java libraries

## More Connections

- Some GIS applications read OPeNDAP(LAS/FDS outputs OPeNDAP)
- WCS-THREDDS Gateway Serverconverts NetCDF to GIS (LAS outputs THREDDS catalogs)

## HPCC Proposal

- Implement WMS/WCS capabilities as part of the LAS Product Server rewrite
- Another step toward integration of GIS/scientific data
- Benefits from installed base of LAS servers
- “To provide greater access to real-time and    historical information to users in a more complete, _more usable form_.”
# Presentation: 741241

## International Comparison of Injury Case-Fatality Rates in the United States and New Zealand

**Ted Miller, PhD**
**Rebecca Spicer, PhD, MPH**
**Pacific Institute for Research and Evaluation, Calverton, MD, USA**
**John Langley, PhD**
**Shaun Stephenson**
**Injury Prevention Research Unit, University of Otago, Dunedin, New Zealand**

## Objectives

- To compare injury case-fatality rates between the United States and New Zealand
- Use the observed differences to generate new research questions

## Methods

- Data
- New Zealand E-coded hospital discharge and mortality census data (1992-1996)
- United States National Hospital Discharge Survey (1996)
- 63% of cases E-coded
- E-codes for the remainder of cases modeled based on diagnosis and age group.
- United States mortality census data (1996)
- Hospitalized case definition: AIS 3 to 6 only, first admission, not discharged dead

## New Zealand

**New Zealand**
**35,552 Cases**

**United States**
**744,476 Cases**

## Injury Case-Fatality Rates (CFR)

## CFR Comparison: by Cause

## CFR for Cutting/Piercing Injuries: by Intent

## CFR for Firearm Injuries: by Intent

## CFR for Poisoning Injuries:by Intent

## CFR for Motor Vehicle-Related Injuries: by Victim Type

## Conclusions

- Case-fatality rates in NZ and the US differ dramatically depending on the cause of the injury.
- Why?

## Possible reasons for the observed differences

- Data collection and coding procedures?
- Motor vehicle injuries:
- Road and vehicle standards?
- Helicopter transport for the severely injured?
- Firearm injuries:
- Types of firearms?
- Greater US experience treating gunshot victims?
- Poisoning:
- Poison treatment availability?
- Types of poisons?
- Mechanical injury: occupational differences?
- Burn injury: Risk of house fires in the US?
- Natural/environmental injury: Environment/animal differences

## Limitations

- Possible coding differences between countries
- Small number of cases, particularly for New Zealand
- Misclassification of cause
# Presentation: 266186

## March 5, 2002

- Lessons Learned from GAO’s Evaluation of the Outcomes of R&D Programs**Presentation to ORNL’s Conference**** on Estimating the Benefits of ****Government-Sponsored Energy R&D**

## Metrics for R&D Evaluation are Limited 

**Spending on research was the primary indicator of the investment in research -- an input measure**
**Available in both the public and private sectors.**
**However, not a good indicator of the level of results achieved**
**No single output measure captures the results of research well either.  Some examples include:**
**Quantitative analyses of return on investment; patents, copyrights & technology licensing; technology partnerships; and bibliometrics**
**Qualitative assessments based on peer review.  **

## Outcome Orientation Drives R&D Evaluation 

**Outcomes is the focus of GPRA**
**Outcomes have also been focus of GAO’s work at DOE**
**GAO reports on the Department of Energy’s R&D efforts include **
**Energy Efficiency **
**Fossil Energy**
**Renewable Energy**

## Four Broad Themes from GAO Reports, 1991—2001

**1. ****	****Would private sector ****do the research?**
**2. ****	****Will consumers buy the product?**
**3. ****	****Do benefits exceed costs?**
**4.****	****Are efforts consistent with agency’s ****	****mission and strategic plans?**

- (1998)

## 1. Would the private sector do the research?

- Sample Findings:
**DOE has funded research that private ****industry may have performed.**
**Clean Coal Technology Program**** **
**Other Programs, such as the Advanced Technology Program**

- (1991)

- (1996)

## 2. Will consumers buy the product?

- Sample Findings:
**DOE has conducted research ****on technologies that **
**have already been developed ****and marketed elsewhere, **
- Wind turbines, Clean Coal Technologies
**and may not be marketable.**
- PNGV, Advanced Batteries

- (1999)

- (1990)

- (2000)

- (1995)

## 3. Do benefits exceed costs?

- Sample Findings:
**In evaluating the ****results of its R&D, DOE**
**has not clearly stated ****the costs of its research**
**has overstated economic benefits**
- DOE’s Success Stories Report

- (1996)

## Sample Findings:
DOE’s Performance Plans and Reports (energy efficiency, fossil energy, and science) do not convey a clear picture of what the department is trying to do or how it plans to get there.  
Problems inherent to science  

**DOE’s Performance Plans and Reports ***(energy efficiency, fossil energy, and **science)*** do not convey a clear picture ****of what the department is trying to ****do or how it plans to get there.**** **** **
**Problems inherent to science  **

- 4. 	Are efforts consistent with 			 	agency’s  mission and strategic plans?

- ?

**Strategic Goal**

**Performance Goal**

**Annual Activity**

**Annual Activity**

**Annual Activity**

**Progress Towards**
**Strategic Goal**

- 100%

- 75%

- 50%

- 25%

- (2000)
# Presentation: 216418

## Aerosol Absorption from Space

***Aerosol Absorption from Space***
***using Near-UV TOMS and OMI observations***

***Omar Torres***
***JCET, University of Maryland, Baltimore County***

**Goddard Aerosol Group **
**Update-2006**
** ****February 10 2006**

## Long-term record on aerosol optical depth

**El Chichon**

**Pinatubo**

**Biomass**
**burning**

**Desert**
**  ****dust**

**Boreal forest fires**

***Long-term record on aerosol optical depth***
***from TOMS observations (V1)*****                                       ****(***Torres et al, JAS, 2002***)**

## Trends in Aerosol Optical Depth from TOMS record

***Trends in Aerosol Optical Depth from TOMS record***

*The 17.3 trend has a correlation coefficient of 0.82. *
*The 6.6 trend has a correlation coefficient of 0.37 *

- Correlation coefficient: 0.74

***(Massie et al., JGR, 2004)***

***Winter aerosol load increase ***
***in China : 17.3%/decade***

***Winter aerosol load increase***
*** ******in India: 10.6%/decade***

## Summer

*AOD*

*SSA*

*Absorption*
*AOD*

***Summer***

***380 nm***

## Seasonal Climatology of Visible Aerosol Absorption  Optical Depth

***Seasonal Climatology of Visible Aerosol Absorption  Optical Depth***

**0.00**

**0.05**

**>0.10**

**0.00**

**0.05**

**>0.10**

***Wavelength conversion making use of AERONET climatology***

## Aura-OMI Aerosol Products

***Sample results***

## Smoke over Alaska (Aug 21, 2004)

- Extinction Optical Depth

- Aqua-MODIS RGB

- Absorption Optical Depth

- Single Scattering Albedo

**no abs**

**ext**

***Smoke over Alaska (Aug 21, 2004)***

## Saharan Dust Outbreak across the Mediterranean, March 1-05

***Saharan Dust Outbreak across the Mediterranean, March 1-05***

***Aerosol Index***

***Extinction Optical  Depth***

***Single Scattering Albedo***

***Absorption Optical Depth***

## Summary

***-TOMS and OMI Satellite measurements in the near UV produce valuable global information on aerosol absorption over the oceans and the continents. ***
***-A global data set on Aerosol Absorption Optical Depth has been produced***
*** ******from TOMS observations.***
***-The long term TOMS record reveals the existence of  trends in aerosol optical***
***depth in China and India. ***
***-OMI observations of aerosol absorption will extend the TOMS long-term***
***record on aerosol absorption.***

***Summary***
# Presentation: 252536

## Level 1 Muon Trigger Status and Commissioning

- Rob McCroskey
- University of Arizona
- for the
- L1 Muon Group

## Cabling

**L1muo trigger crates (north, central, south) are ~85% complete**
**L1muo splitter crates (CFT, north, south) ~30% done - goal to finish by end of shutdown**
**L1muo centroid crates (2 north, 2 south) - FE cables run, not hooked up **
**In process of finding/fixing bad cables**

## Infastructure

**All production power supplies installed and tested**
**Big thanks to Carl Lundberg for taking this project A-Z**
**Control/monitoring GUI supplied by Manas Maity**
**All rack prep done - Ed Arko & Co.**
**Final PORC passed!!**
**Firmware written for next month of running - Mikhail Baturitskiy **

## Installed Hardware

**All crate managers - cental, north, south, and manager**
**Trigger cards**
**CF**
**Five octants (0-4) CFT+Scint cards (05)**
**Five octants (0-4) PDT+Scint cards (10)**
**EFN, EFS**
**Two octants (0-1) CFT+Scint cards**
**Hope to add 1-2 more octants of 05 cards by next week**
**Centroid finding cards (MCEN)**
**EFN (A-layer)**
**One manager card **
**Four centroid cards **

## Triggers

**Can trigger off Aphi, CMSC coincidences in CF and A, B pixel coincidences currently**
**Trigger is currently simple layer coicidence - no roads**
**Plan on putting in pixel roads soon**
**Working on PDT triggers currently - will start with simple ‘deck’ trigger (e.g., 4/4 decks hit in A-layer)**
**MDT triggers questionable - work on getting MCEN cards running next week and sending centroids to L1muo trigger cards for A-layer north**

## Trigger List

**1. A.C scint coincidence central**
**2. A.C PDT coincidence central**
**3. A.B scint coincidence north**
**4. A.B scint coincidence south**
**5. A.C scint coincidence C+N+S**
**6. A.C scint and PDT coincidence**
**7. Central dimuon (coincidence in two central octants)**
**8. Anywhere dimuon (coincidence in any two octants)**
**d0server4:\\users\johns\xls\**
**   ****mtm-terms-may-june.xls**

## July 1

**Assuming some short accesses, we plan on installing more scintillator cards (05) in both CF and EF**
**Hardware is on hand, awaiting testing/debugging**
**Everything in place for ‘plug and play’ operation**
**Wire boards (10) will require work - first batch (10/28) have some soldering problems on BGA’s**
**Improved scint. coincidence logic in both CF and EF**
# Presentation: 190053

## Healthcare/ IT/ Training/ Media Companies Seminar

- By Shahid N. Shah
- CEO, Netspective Communications LLC

## Who is Shahid?

- CEO, Netspective (_[http://www.netspective.com](http://www.netspective.com/)_)
- 15+ years of entrepreneurship experience
- 7+ years of executive technology management experience as CTO, Chief Architect, etc. in healthcare IT firms
- Lead/Analyst/Consultant on numerous consulting projects in the past 9 years. Sample clients:
- Executive Office of the President
- U.S. Patent & Trademark Office (I train them and I have a patent)
- Northrop Grumman
- CardinalHealth
- NIH
- American Red Cross
- Read my blogs to learn more:
- _[http://shahid.shah.org](http://shahid.shah.org/)_ (technology)
- _[http://www.healthcareguy.com](http://www.healthcareguy.com/)_ (healthcare IT)

## Healthcare Industry Fallacies

- Healthcare folks are neither technically challenged nor simple techno-phobes
- Most product decisions are no longer made by clinical folks alone, CIOs are fully involved
- Complex, full-featured, products are *not *easier to sell than simple, stand alone tools that have the capability of interoperating with other solutions are
- Hospitals will *not *buy unless one proves value.
- Selling into doctors offices is *not *easy.

## Conducting Market Research

- Find the right search terms for your industry or product. Don’t be esoteric.
- Using your search terms, locate your competitors and existing firms
- Once you know your competitors, call them up and ask them about client references
- Call up their clients and talk to them about their products and services and what can be improved

## How Tech Helps Healthcare

- Fraud detection and improved billing (revenue cycle management)
- Offshoring. Inshoring.
- Convergence of healthcare IT and clinical engineering.
- Virtual clinicians in radiology and ICU monitoring.
- Data interoperability for medical records.

## Business Models

- Software as a Service (SaaS) and subscription model
- Consulting and Solutions model
- Licensed model
- Freemium model (and open source)

## Some Success Criteria

- Easy to explain
- Defendable and differentiated
- Attractive partnership opportunities
- Word of mouth opportunity
- Potential for PR
- Scaleable staff and systems
- Scaleable product — build once, sell many times
- Uncomplicated
- Focused
- Sales model is scaleable and predictable
- Own relationship with and information about customers
# Presentation: 302513

## Opportunity for Partnership

- Aim: add a significant new instrument at the Blanco telescope
- Leverage: trade telescope time for instrument funding
- Fairness: open, equitable competition to maximize capability gained
- Required by NSF
- Responsive to comments from Users’ Comm.

## Announcement of Opportunity

- Open to entire US astronomy community
- No restrictions on type of instrument
- Consistent with system-wide view of US instrumentation in the Southern Hemisphere
- General interest to overall US community
- Special opportunity to exploit wide-field capability
- Up to 30% of Blanco time for up to 5 years

## Schedule

- December 1, 2003: Publish AO
- Contact Persons appointed for interested potential proposers
- Dec 03 – Jan 04: Publicize AO
- March 15, 2004: Letters of Intent Due
- Parity of support efforts to all proposers
- Post summary of interface info
- August 15, 2004: Proposals Due
- Peer review of proposals ASAP

## Proposal

- Science Plan
- Description of proposing team’s science; exploration of joint interests with NOAO staff encouraged
- Outline of types of science community might do
- Technical Plan
- Conceptual design in enough detail to permit peer review
- Management Plan
- Outline proposed sharing of responsibilities between proposer and NOAO
- Present management structure and rough schedule of reviews
- Include outreach plan and explain “broader impacts”

## NOAO Contact

- Tim Abbott
- tabbott@ctio.noao.edu
- +56 (51) 205 216