BEE-spoke-data/govdocs1-by-extension huggingface dataset:
# Presentation: 868140

## Abundance analysis of bright metal-poor stars from the Hamburg/ESO surveyorThe oldest stars in the Galaxy

- Anna Frebel
- University of Texas at Austin
- anna@astro.as.utexas.edu

## Spectral Comparison

- Christlieb 2003

- [Fe/H]=0
- [Fe/H]=-4
- [Fe/H]=-5.3
- Pop III star
- (just noise...?!?)

## Three Observational Steps to Find Metal-Poor Stars

- Sample selection and visual
-       inspection:
-       Find appropriate candidates
- 2.   Follow-up spectroscopy
-       (medium resolution):
-       Derive estimate for [Fe/H]
-       from the Ca II K line
- 3.   High-resolution
-       spectroscopy:
-       Detailed abundances analysis

- Frebel et al. 2005b

## Abundances of HE 1523−0901

- Frebel et al. (2007), in prep.

##         r-Process Enhanced Stars(rapid neutron-capture process) 

- Responsible for the production of heavy elements
- ~5% among metal-poor stars with [Fe/H] <  2.5
-     => Only ~12 stars known so far with [r/Fe] > 1.0
- Chemical “fingerprint” of previous nucleosynthesis event
- Possible production sites: SN type II, neutrino-driven winds
- Nucleo-chronometry: with Th, U and stable r-process elements (Eu, Os, Ir)

## U II at 3859Å

**Frebel et al. (2007), ApJL submitted**

## The r-Process Pattern

- HE 1523-0901

- scaled solar
-     r-process pattern

## The Age of HE 1523−0901

| Ratio | Age |
| --- | --- |
| Th/Eu | 11.5 ±4.7 |
| Th/Os | 10.7 ±4.7 |
| Th/Ir | 15.0 ±4.7 |
| U/Eu | 13.2 ±2.2 |
| U/Os | 12.9 ±2.2 |
| U/Ir | 14.1 ±2.2 |
| U/Th | 13.0 ±3.3 |
| average | 13.2±1.1±2.0 Gyr |

- Age:
# Presentation: 357231

## Virtual Library Session

## There is a Clear, Urgent Need

- Museums to upload and share content
- Organize existing archive of assets
- Post content
- Capture and share metadata

## JMU Library?

- Take advantage of existing programs for distributing

## Existing Digital Library Standards

- Metadata
- E.g., WMS, FGDC
- Distribution
- RSS, notifications

## Design Considerations

- Flexible content
- Curricula
- Evaluation forms, etc.
- Science Fair materials
- Current assets < 1TB
- Growth likely moderate/linear

## Content Standards

- Metadata (just to reiterate)
- Raw footage
- mpegs

## Interface considerations

- Make it easy to post from GUI
- Tag definition/fields

## Intellectual Property
# Presentation: 923620

## Agenda

- Safety and training
- Schedule
- Machine and system reports

- E. Pozdeyev, Time Meeting

- 01/20/2009

## Safety and training

- Safety:				_[Ed ](file:///ESHQ1-20-2009.ppt)__[Lessard](file:///ESHQ1-20-2009.ppt)_

- E. Pozdeyev, Time Meeting

- 01/20/2009

## Schedule

- BLIP running with 30 mA
- Beam injection and acceleration in AGS

- E. Pozdeyev, Time Meeting

- 01/20/2009

## RHIC rollup(RHIC access control)

- RHIC rollup (Jonathan Reich, access control group)
- No access to the tunnel
- Tomorrow (Wednesday, Jan. 21)
- Two sessions:
- 4:30-8:30 am + 4:30-9:30 pm

- E. Pozdeyev, Time Meeting

- 01/20/2009

## Schedule

- RF work at RHIC 4 o’clock:
- Thursday, Friday – non stop
- AtR access control:
- If can be done before 8:30 – can be done on Fiday
- If not, has to be moved to next week

- E. Pozdeyev, Time Meeting

- 01/20/2009

## Machine and system reports

- RHIC				_[Mei ](file:///DryRunCheckoffList%20Sheet1.pdf)__[Bai](file:///DryRunCheckoffList%20Sheet1.pdf)_
- STAR				Bill Christie
- PHENIX				_[John Haggerty](file:///phenix_20090120.ppt)_
- APEX				Fulvia Pilat
- BLIP				_[Dmitri ](file:///BLIP%20operations%201-20-09.ppt)__[Medvedev](file:///BLIP%20operations%201-20-09.ppt)__[ ](file:///BLIP%20operations%201-20-09.ppt)_
- NSRL				Adam Rusek
- Operations			Peter Ingrassia
- Sources				Jim Alessi
- Booster and AGS		Leif Ahrens

- E. Pozdeyev, Time Meeting

- 01/20/2009

## Machine and system reports

- Maintenance			Paul Sampson
- ES&F				Al Pendzick
- Instrumentation		Michiko Minty
- Beam components		Tom Russo
- Vacuum				Mike Mapes
- Cryogenics			Andy Warkentien
- Power				Jon Sandberg
- RF					Alex Zaltsman
- Controls				John Morris
- Access Controls		Jonathan Reich

- E. Pozdeyev, Time Meeting

- 01/20/2009

## Next Time meeting

- Next Time meeting on January 20th
- Two weeks from now

- E. Pozdeyev, Time Meeting

- 01/20/2009

## Schedule

- Day 1-7 - Injection setup Blue and Yellow
- Establishing circulating beam
- RF capture
- Instrumentations setup, prep. for ramping
- DX and Snake training if not done
- Day 8-9 – LLRF ramp and 9 MHz commissioning, and in parallel
- polarization setup
- Instrumentation setup

- E. Pozdeyev, Time Meeting

- 01/20/2009

## Schedule

- Day 10-21 – Ramp development and store optimization
- Ramp development, optimization (5 days)
- Store setup (4 days)
- Store optimization and increasing intensity (3 days)
- Feb 28 - Deliver collisions
- 2 more days: Rotator ramp development
- ~Mid March – NSRL run
- ~5 Weeks of running with CR, +10 Weeks with the budget at 100x100.

- E. Pozdeyev, Time Meeting

- 01/20/2009
# Presentation: 826580

## E and M fields for EDM

- Presentation for the
- LDRD DR Review

- R. E. Mischke
- LANL
- 11 April 2002

## Design requirements

- E field: maximum practical strength  (~50 kV/cm)   	 1% uniformity over the cell volume
- B field: 0.1% uniformity over the cell volume
- Other requirements (not discussed here):		no sparks in 108 sec					E and B fields parallel				DC fields very stable in time			RF B field for π/2 spin rotation

## Concept for HV generator

- 50 kV

- 500 kV

- Variable capacitor in LHe volume

## Target region with magnet coil

## ANSYS finite element model

- 2D model of E field
- Reduce size of model with symmetries
- Fixed voltage on HV and ground plates
- Calculate E field in LHe and Lucite cell walls
- 3D model of B field
- Idealized version of cosΘ coil
- Reduce size of model with symmetries
- Flux parallel or normal on symmetry planes and superconducting shield
- Calculate Bx over fiducial volume

## E field contours

- 10 cm plate
- 30 cm shell

- -0.7      -0.8        -1.1
- -0.2       -0.2      +0.6
- +0.5     +0.7      +1.2

- % deviation in cell

- < 1% variation
- max/gap = 1.6

## Bx contours with cosθ magnet

- 2.4 m

- 48 cm

## Bx profile vs z

- fiducial region

## B field fiducial volume

- 0

- 0.2

- 0.2

- 0.2

-    z (25 cm)

- x (10 cm)

- (6 cm) y

- Coil: 30 cm radius x 1195 mm half length
- Shield: 48.0 cm radius x 1220 mm half length

- 0.2

- -.1

- -.1

- deviations of Bx from origin
- in %

## Central penetration

## B field fiducial volume

- 0

- 0.3

- 0.3

- 0.1

-    z (25 cm)

- x (10 cm)

- (6 cm) y

- With penetration of shield
- Shield: 48.0 cm radius x 1220 mm half length

- 0.1

- -0.2

- -0.2

- deviations of Bx from origin
- in %

## Conclusions from model

- B Field
- Uniformity of 0.1% achieved
- Nonuniform coil spacing required
- Position of superconducting shield tuned
- E Field
- Uniformity in cell:
- 0.1% without side walls
-   1% with recess
- Peak E field is ~1.6 of value in cell

## Suggested Dimensions (cm)

- HV plate: 10 thick × 30 wide × 80 long
- Ground plates: 5 × 25 × 75
- Gap: 7.6
- Target cell: 7.6 × 10 × 50
- Cell walls: 1.3 adjacent to plates and 0.6 on sides
- Coil radius (ground cylinder): 30
- Coil length: 2400
- Superconducting shield: 48 radius × 2430 long

## Breakdown vs Gap

- 50 kV/cm

- 76 mm

- extrapolation (?)

## Notes on HV literature search

- Lots of literature about HV in LHe
- No directly equivalent experimental data
- Extrapolation of trends suggests possible trouble
- However, no data contradict design goal  (~50 kV/cm)
- Planned HV tests crucial

## HV test setup

## Plans for HV test program

- Validate variable capacitor design
- Measure cryogenic properties of materials
- testbed for engineering issues
- measure dielectric constant of cell materials
- HV properties of LHe
- determine dielectric strength
- Develop E field measurement with Kerr effect
- Investigate effect of E field on scintillation process
- Study performance of SQUIDS in test environment
- ...
# Presentation: 071731

## Analysis of drag rate data measured after successive scrapes

- Recycler Departmental Meeting
- June 18, 2008
- A. Shemyakin, L. Prost

## Measurements on May 22, 2008

- The main goal was to optimize drag rates at Ie = 0.2A
- Did not find better settings
- In parallel, we made 9 scrapes of pbars
- Recorded drag rates immediately before and after a scrape
- Ie = 0.1A, on axis, standard settings, +2 kV jumps

## Dependence of the drag force on scraping

- May 22, 2008 measurements:
- Started with 9.5E10, 9 TOPJ scrapes,
- Drag rate measurements before and after each scrape
- Scraper position is shown after subtraction of the extinction point
- In all measurements: Ie = 0.1A, voltage jump +2kV, standard file #884

## Typical scrape

- Scrape #2.
- The scraper was moved quickly into the position of the previous scrape and then slowly shifted in until the desired amount of pbars is scraped.
- Data are recorded in D44 at 10 Hz and saved into EXCEL with 10 point averaging
- Percentage of the beam scraped by reaching the point of the previous move was increasing for the deeper scrapes

## Drag rate of the scraped part (procedure)

- An attempt to estimate drag rate of particles in the transverse tail
- Measure the drag rate
- Scrape, recording Np = f (scraper position)
- Calculate average offset of removed particles and width of their distribution
- Measure the drag rate immediately after the scrape
- Calculate the drag rate of the removed particles

- Xmin

- <X>

- Sigma

- N1, F1		N2, F2

- -

- =

## Drag rate of the scraped part (results)

- Drag rate as a function of maximum amplitude in the cooling section, averaged over removed pbars
- Vertical error bars – statistical error of drag rate fitting
- Left side of horizontal error bar shows the minimum position of the scraper
- Right side of horizontal error bar is rms of the scraped pbars

- The same data as a function of “action”
- Green squares show percentage of the beam scraped when the scraper was moved in the position of the previous scrape
- Indirect indication of transverse diffusion during the measurement
- Drag rates near the axis may be underestimated

## Fitting data 

- Model:
- drag rate at a given offset drops because of a parabolic density distribution and a linear velocity growth
- The force is integrated over betatron phases (**solid blue line**)
- Measured data of the drag rate of the scraped portion (**red crosses**) are fitted to the model
- The drag force with the fitted parameters (dashed line) is compared with drag rates measured at various offsets on 26-Dec-2007 (magenta circles)

## Summary

- There is a reasonable agreement between the estimated drag rates of the scraped portion of the beam and the drag rates measured at various electron beam offsets
- Longitudinal drag rate drops by factor of 3 for pbars with transverse action ~3  mmmrad n.
# Presentation: 016407

## Reasons People Volunteer 

**An opportunity **
**to help their families.**
**to work with youth.**
**to learn new skills.**
**to help the community.**
**to meet and get to know people in the community.**

## Reasons People Volunteer

**An opportunity **
**to develop leadership skills.**
**for community recognition.**
**to use personal skills and knowledge.**
**to learn more about community efforts and activities.**

## Role of Club Leader 

**1.**	**Supporting youth.  **
**2.****	****Recruiting other volunteers. **
**3.****	****Linking the club to the county 4-H office and program.  **
**4.****	****Bridging the club with the community.**** **

## Role of the Project Leader 

- 1.  Creating positive learning 	environments that meet the 	needs of youth.
- 2.  Providing experiential 	learning experiences that 	teach the project subject 	matter.

## Role of the Project Leader

- 3.  Processing those experiences 	to support life skill 	development
- 4.  Helping youth set and 	accomplish realistic goals

## Skills & Attitudes of Volunteers 

- Understand youth development 	principles.
- Set limits and provide guidance.
- Share age appropriate responsibilities with youth.
- Have high expectations and hold 	youth accountable.

## Skills & Attitudes of Volunteers

- Exhibit sincere interest in what youth think and want.
- Exhibit respect for all youth.
- Recognize the accomplishments of 	young people.
- Encourage cooperation and do not 	compare youth.

## Skills & Attitudes of Volunteers

- Are fair and objective. Do not show favoritism.
- Maintain professionalism.
- Are honest and sincere.
- Have the ability to facilitate teamwork and leadership.

## Ongoing Support for Volunteers

- Maintaining contact. ** **
- Assuring that meetings are clearly focused and relevant. *** ***
- Assessing the effectiveness of your communication style.
- 	(face-to- face, phone, email, etc.)* *
- Skillfully handling conflicts.

## Recognition Ideas for Volunteers 

- Publicly acknowledge their contributions.
- Involve volunteers in
- providing input into the programs,
- coordinating programs or events,
- presenting workshops, etc.

## Recognition Ideas for Volunteers

- Invite volunteers to participate in staff meetings and conferences.
- Design volunteer opportunities to capitalize on interests and talents.
- Ask a volunteer to represent program to an outside agency or donor.

## Recognition Ideas for Volunteers

- Promote a volunteer to expanded or higher-level responsibilities.
- Write a letter of reference.
- Nominate volunteers for awards
- community,
- state,
- national awards.

## Recognition Ideas for Volunteers

- Encourage youth to send volunteers thank-you notes.
- Feature volunteers in promotional print or media publications.
- Provide recognition tokens such as		- plaques
- 			- certificates,
- 			- pins, etc.

## Recognition Ideas for Volunteers

- Offer perks such as
- free admission
- parking
- reserved seating, etc.
- Have a Volunteer of the Month Award

## Recognition Ideas for Volunteers

- Host an event in the volunteers honor
- Banquet
- Luncheon
- Party
- Reception, etc.
# Presentation: 520492

## Preparing a realistic budget

- Mario Ascoli, Ph.D.
- Dept. of Pharmacology
- The University of Iowa
- Iowa City, IA 52242
- mario-ascoli@uiowa.edu

## Start with personnel

- Determine % effort/time that you will spend on this project.
- Determine the number, qualifications and % effort for other personnel needed
- Technicians
- Postdoctoral Fellows
- Graduate Students
- Undergraduate Students

## There are no magic numbers regarding the qualifications and/or number of individuals needed for each aim.
Be realistic on what each individual can accomplish and how long will it take.
Then follow Murphy’s law and add some.

- Be realistic on what each individual can accomplish and how long will it take.
- Then follow Murphy’s law and add some.

## Consider the supplies needed for the personnel involved

- For a project that uses modern tools of cell and molecular biology it is reasonable to estimate a supply budget of ~$15,000/year for each FTE involved.
- This number will vary, however, depending on the nature of the research proposed.

## Do you need new equipment?

- Most startup packages include funds that can be used to equip your new lab.
- If you need additional equipment, however, this is the time to consider it.
- Most equipment is bought on the first year of the grant.
- The older and more established you get, the harder it is to get equipment money from study sections.

## Travel funds

- Many study sections have a set idea on how much money should be allocated to travel.
- This amount is usually small ($2,000-4,000/year) because they expect you to obtain these funds from other sources.

## Other funds

- This category includes funds needed for things such as publication costs and equipment maintenance.
- You can readily estimate these expenses realistically.

## Add it all up

- Calculate your first year budget.
- Calculate the budget for subsequent years taking into account salary increases and changes in funds requested for equipment.

## Modular budgets

- Add all yearly budgets up and divide the total by the number of years requested, but remember that the number of modules in the first year may be higher than in subsequent years because of equipment purchases.
- Round the calculated yearly budget up to the nearest module based on $25,000/module.
- Calculate indirect costs for each year and total indirect costs.
- Hope for the best.

## Non-modular budgets

- Calculate indirect costs for each year and total indirect costs.
- Write the budget justification section.
- Hope for the best.
# Presentation: 804449

## Software and Performance

- Releases:
- 13.0.10: delayed by one week to May 29th
- 12.0.95 (CTB with Geant4.8): under checks
- Some MC files simulated + digitized (yesterday), to be validated
- FCAL energy scale:
- Density of Fcal2/3 fixed in rel13
- Still smaller fixes to do (rod material), but effect is significantly smaller (1-2 %)
- New sampling fractions put in the database
- Should be consistent with new density and Geant4.8 QGSP_EMV (slide 2 of the talk by Gerald at the calibration meeting during the Lar week at BNL)
- Not all numbers floating around always consistent
- Need some overall validation/check
- For instance single high energy pi0 in Fcal region

## Performance section of Atlas paper
Ongoing discussion (calorimeter related parts are mostly e/gamma and jet/Etmiss)
Produce detailed list of figure and outline by end of this week
Agree to use “nominal” (not distorted) geometry for e/gamma resolutions and to concentrate on luminosity <(1-2).1033
Probably main question is how much material will be available from combined studies from CTB
Documentation review
Documentation standown 11-15 june
Calorimeter review (combined LAr+Tile) 16 july
Contact people identified
OSTMU discussion at last SPMB
EM calibration workshop
Date fixed 1-3 october 2007 at Annecy 

- Ongoing discussion (calorimeter related parts are mostly e/gamma and jet/Etmiss)
- Produce detailed list of figure and outline by end of this week
- Agree to use “nominal” (not distorted) geometry for e/gamma resolutions and to concentrate on luminosity <(1-2).1033
- Probably main question is how much material will be available from combined studies from CTB
- Documentation review
- Documentation standown 11-15 june
- Calorimeter review (combined LAr+Tile) 16 july
- Contact people identified
- OSTMU discussion at last SPMB
- EM calibration workshop
- Date fixed 1-3 october 2007 at Annecy
# Presentation: 042283

## RDRCNo Clinically Detectable Pharmacological Effect

- Sally Loewke, M.D.
- Deputy Director
- Division of Medical Imaging and Radiopharmaceutical Drug Products
- November 16, 2004

## Current Regulation

- 21 CFR 361.1(b)(2):
- 	“*Limit on Pharmacological dose*. The amount of active ingredient or combination of active ingredients to be administered shall be known not to cause any clinically detectable pharmacological effect in human beings. ...”

## Current Regulation	

- 21 CFR 361.1(d)(2)
* “**Pharmacological Dose. *To determine the amount of active ingredients to be administered....the committee shall require that the investigator provide pharmacological dose calculations based on data available from published literature or from other valid human studies.”

## Current Regulation

- Applies to:
- Radiolabeled endogenous compounds
- Normal body constituents
- Radiolabeled drugs
- Radiolabeled biologics
- Does Not Apply to:
- First in human studies

## Issues

- Availability of existing human data
- First in humans not permitted
- Difficulties with extrapolation to pediatrics
- Physiological differences
- Organ/system maturational differences
- Hormonal differences
- Neurobehavioral differences
- Growth issues
- Lack of a definition for clinically detectable pharmacological effect

## What does “clinically detectable pharmacological effect” mean?

- Current Thinking
- Subject reports symptoms (solicited or not)
- An adverse event occurs
- Changes in vital signs are noted
- Targeted monitoring reveals changes
- Dependent on target organ
- May involve PE, ECG, other diagnostic testing
- Immune response (e.g. antibodies)

## Questions

- How may an investigator confirm that a radioactive drug causes no clinically detectable pharmacological effect in humans in accordance with 361.1(b)(2)? What parameters should be measured, how frequently, and what criteria should be used to determine if a pharmacologic effect has occurred?
- For an active ingredient chemically manufactured in the laboratory that is also a body constituent (an endogenous substance), what percentage of estimated daily endogenous production could be considered to have no pharmacological effect?
# Presentation: 434810

## “Balancing Act – Effective Customer Communication” 

## Hank Priebe and Stu McGhee

- Pinnacle Learning LLC
- Knoxville, TN
- Conifer, CO
- San Antonio, TX
- www.get-pinnacle.com

## Customer Service

- Achieving Success

## Management of Service

- Three factors outstanding service organizations have in common:
- A well conceived strategy for customer service
- Customer friendly internal *communication* processes
- Customer oriented front line people

## LIONS

***LIONS***

**OWLS**

**ST. BERNARDS**

## Communication Styles

**Concerned initially with**** **_**What**_** ****is to be/will be done and****, **_**When **_**it is to be/it will be accomplished!!**

**Concerned initially with**** **_**Why**_** ****this is to be or this will be done**** ****and,**** **_**How **_**it is to be/it will be accomplished!!**

**Concerned initially with**** **_**Who**_** ****is going to**** ****do it and****, **_**How **_** ****they will accomplish it!!**

## Communication for Success

- Customer Expectations
- Friendly
- Caring
- Responsive
- Dependable
- Available
- Flexible

## Communication for Success

- Effective communication with your customers is critical.
- The best customer service organizations can communicate effectively with a variety of customers.
- Communication needs vary with each customer.
- Understanding individual styles enhances effective communication.

## REMEMBER

***LIONS***

**OWLS**

**ST. BERNARDS**

**REMEMBER**

- These are your customers!
# Presentation: 922824

## Beowulf Database Option

- Robert Schaefer
- GLAST SSC

## Database Options

- DBMS (PostgreSQL, Oracle, Sybase, etc.)
- Beowulf
- Other options not thought of yet...

## Outline

- A little about Beowulf Clusters
- Simple architecture used in prototype
- Performance
- Improvements
- Conclusions

## Beowulf Cluster

- Cluster of low cost mass market computers
- Tied together with a message passing interface (usually MPI or PVM) and synchronization/management tools
- Memory is not shared.
- Pioneered by people at GSFC

## How Beowulf Would Work

- Effective parallelization means that the  photons are sorted randomly.
- If spatial searches are most important, can store them in time order (or use a hash function).
- No need to build and maintain a large index, just store metadata.

## Simple Architecture Prototype

- Original FITS files from level 1 processing kept on disk
- Ingest of new data - copy new file to disk
- Reprocessing - replace FITS file on disk

## Simple Beowulf Photon DB

- Photon file

- Photon file

- RAID

- 1st Slave
- processor

- Photon file

- Server on
- Master

- Photon file

- Photon file

- RAID

- Nth Slave
- processor

- Photon file

- MPI / PVM

- ...

- Photon
- query

## Simple Performance Tests

- Prototype architecture
- Query all photons in a region
- Master tells slaves which files to search
- Slaves search files, make FITS file of queried photons.
- Slaves send resultant files back to master.
- Tested searching boxes in galactic coordinates using simulated GLAST data (Seth Digel)

## Prototype Performance Times

## Prototype Meets Requirements

- Searches can be done at ~ 1 microsecond per photon.
- With 1 G photon database (after 10 years), search can be done in 1000 s = 17 min.
- Requirement is ≤ 30 min./year data searched.

## Performance Scaling

## How to Improve Performance

- 1st bottleneck is inefficient file transfer to master
- Gigabit ethernet
-  more efficient file transfer algorithm
- 2nd bottleneck is disk access times
- Store photons in memory
- 40 nodes w/ 5 Gb gives 200 Gb storage.
- Could possibly get a factor of ~ 30 improvement
- Entire database searched in 30 seconds.

## Improved Beowulf Photon DB

- Photon file

- Photon file

- RAID

- 1st Slave
- processor

- Photon file

- Server on
- Master

- Photon file

- Photon file

- RAID

- Nth Slave
- processor

- Photon file

- MPI / PVM

- ...

- Photon
- query

-  in
- memory

-  in
- memory

## Beowulf vs. DBMS

## Conclusions

- Beowulf can meet our needs and much more
- Beowulf database architecture is simple, but all code must be custom.
- DBMS can likely meet our needs as well.
- Must choose architecture makes the most sense.
# Presentation: 456354

## Fanhouses (Bldgs. 704 & 802) Demolition Waste Management

- Remove Hazardous Materials

- Stage Waste at WMF

- Waste Shipping & Disposal

**Assumptions/Limitations:**
-  All hazmat removed & packaged in appropriate shipping container prior to building demo
-  Hazmat packaged directly into appropriate shipping/disposal package

**Assumptions/Limitations:**
-  Entire building structure/superstructure assumed LLRW
-  Demolition debris loaded into 20 yd3 roll-offs at demo site

**Assumptions/Limitations:**
-  Truck shipment to approved disposal facility

**Fanhouses (Bldgs. 704 & 802) Demolition Waste Management**

- Remove Radiologically Contaminated Equip & Components

- Stage Waste at Loading Area

- Waste Shipping & Disposal

**Assumptions/Limitations:**
-  Equipment & components loading directly into 25 yd3 Intermodals demolition site
-  Intermodal gross weight limit ~30 tons

**Assumptions/Limitations:**
-  Containers ready for shipment

**Assumptions/Limitations:**
-  Intermodals staged at rail siding at WLA
- Offloading by crane (area not suitable for forklift use)

**Assumptions/Limitations:**
-  Building demo waste loaded into gondolas
-  Intermodals loaded on ABC flatcars
- LIRR weight & height restrictions and apply (177 tons, 15’-6” above rail)
-  Ship to Envirocare, Clive, UT

**Assumptions/Limitations:**
-  20 yd3 roll-offs transported to WLA & dumped to staging area
-  Roll-offs returned to demo site for continued use

- Stage Waste at Loading Area
# Presentation: 239302

## Patterns of Employment in Puerto Rico: Implications for Placement of Graduates with Mental Health Needs

**Coloma Rios, MA**
**Region 1 Mental Health Consultant**
**Puerto Rico Centers**
- Region 1 Health and Wellness Conference
- May 14, 2004

## Scope of the Problem

- Estimated population in Puerto Rico – 3.8 million (2000 U.S. Census Bureau)
- Over one-half (54%) of the population is under 35 years old
- Persons between the ages of 15-24 comprise 16% of the Puerto Rico population (similar to the ages of our Job Corps students)
- The current unemployment rate in Puerto Rico is over 14%

## Implications for Job Corps

- With the young population and high unemployment rate that Puerto Rico faces, job seekers with mental health needs may have greater difficulty finding a job
- What can we do in Job Corps to help students with mental health needs to gain and retain employment?

## Strategies

- Early awareness and identification by the CMHC and health team of the specific mental health-related needs of students
- Develop strategies to meet the specific mental health needs of students in all phases of CDSS
- In coordination with counselors, the CMHC can develop individualized plans for students that encompasses all 3 phases of CDSS (from CPP through CDP through CTP)

## Strategies (continued)

- Some topics that can be included in the various phases of CDSS are:
- Medication management and work
- Anger management
- Early recognition of depression
- How to deal with manic behavior
- Teach students with mental health needs how to plan their time so that ongoing medical appointments may be managed while holding a job

## Strategies (continued)

- Link students with existing community mental health services (e.g., Puerto Rico Department of Labor Social Services for Mental Health, Vocational Rehabilitation Services) so that they will know how to reach out for continued help after Job Corps
- If students opt for an “export job”, help them during CPP and CTP to become familiar with mental health services in the state in which they will be relocated
# Presentation: 380710

## Identifying populations of Pacific salmonids

- Why important?
- Definition of a population
- Practicalities of identifying salmonid populations
- Upper Columbia River steelhead and spring-run chinook salmon
- Puget Sound chinook salmon
- Key research gaps

## Identifying populations of Pacific salmonids--why?

- Demographically independent units for conservation assessments
- Critical for evaluating viability at population and larger (e.g., ESU) scales
- Key for predicting responses of salmonids to management actions

## “An independent population is a group of fish of the same species that spawns in a particular lake or stream (or portion thereof) at a particular season and which, to a substantial degree, does not interbreed with fish from any other group spawning in a different place or in the same place at a different season.”
-Ricker (1972)

- -Ricker (1972)

## “An independent population is any collection of one or more local breeding units whose population dynamics and extinction risk over a 100-year time period are not substantially altered by exchanges of individuals with other populations.”

-NMFS Viable Salmonid Population draft document 1999

- -NMFS Viable Salmonid Population draft document 1999

## 
 reproductive isolation
 genetic similarity
 similarity in life history traits
 geographic distance between 	spawning groups
 dispersal among spawning 	groups
 habitat characteristics
 demographic data

-  reproductive isolation
-  genetic similarity
-  similarity in life history traits
-  geographic distance between 	spawning groups
-  dispersal among spawning 	groups
-  habitat characteristics
-  demographic data

**Evidence for independent populations**

## Spring-run chinook salmon in the Skagit River Basin: one population or more?

- Geographically disjunct spawning distributions
- Run/spawn timing distributions are similar
- Genetic distances suggest Suiattle, Cascade and Sauk fish are similar
- Abundance correlations are very low between Suiattle and Sauk

## Slide 7

## Spring-run chinook salmon in the Skagit River Basin: one population or more?

- Geographically disjunct spawning distributions
- Run/spawn timing distributions are similar
- Genetic distances suggest Suiattle, Cascade and Sauk fish are similar
- Abundance correlations are very low between Suiattle and Sauk

## Quasi-extinction risk

- 0.961

- 0.551

- 0.803

## Consequences of lumping and splitting--Skagit River spring chinook

- Quasi-extinction risk of streams alone
- upper Sauk: 			0.551
- Suiattle:			0.961
- Quasi-extinction risk of streams combined
- upper Sauk + Suiattle:	0.803

## Key research gaps

- Methods for distinguishing effects of spatially correlated environments and dispersal between groups on correlations in abundance
- Integrating across indicators of population structure in a systematic way
# Presentation: 183523

## DRI CCN spectrometers

- 	These instruments have participated in more than 25 field projects, most airborne.
- 	Recent optical, electronic, and physical improvements have minimized or eliminated the need for data inversion.
- 	Agreement between the two instruments over a common supersaturation (S) range when they are set for different supersaturation ranges assures confidence.
- 	A wider S range is more challenging for spectral determinations.  In the figures the instrument operating at the lower S range (old) should be more accurate over that range because it is a smaller range and because there is less interference from higher concentrations at higher S that can cause spectral broadening and coincidence pulses.  Nevertheless, the new spectrometer shows excellent agreement with the old one in the overlapping 0.08-0.02% range.  Such high concentrations are especially challenging for spectral determinations, but these concentrations are typical of the ARM site.
- 	The S range has now been extended to 0.002%.  But at this time coverage of the full 1-0.002% range requires both instruments.  Thus, both will be operated during the IOP at 1-0.02 and 0.08-0.002% respectively.  Moreover agreement in the overlap region for instruments operating over different ranges should be more reassuring than if both instruments operated over the same range of S.  If one instrument should go down the upper range will still be covered.
- 	With more than 100 channels of resolution it is possible to plot the data differentially as well as the traditional cumulative way (figs.).
- 	Data are continuously available every few seconds.  High time resolution is valuable to filter out very local pollution episodes (e.g., vehicles).  Concentrations at several (e.g., 10-20) different S can be provided every minute with full spectral averages (sans spikes) every 10 minutes.
# Presentation: 303601

## Expanding Services to Meet Needs in the Finger Lakes RegionBy Michael Schaffner (WFO Binghamton, New York)Jeane Wallace and Thomas Econopouly (Northeast River Forecast Center)

_**Abstract**_
- The Finger Lakes Region is situated in north-central New York State.  Ten lakes, with seven of those within the Binghamton Hydrologic Service Area, flow through the Oswego River system and its tributary rivers prior to emptying into Lake Ontario.  Customers and partners vary widely from canal navigation, hydroelectric power generation, lakeshore residents, recreation, and waste disposal.  Lake level forecasting requires accurate observations of lake inflow, lake level, lake outflow, and precipitation gages vary widely from lake to lake.  Some lakes contain no real-time sensors while others contain a variety of sensor types.  Lake level operations are generally not coordinated between lakes.  Such disjointed lake operations can lead to backwater effects and flooding along downstream points.  WFO Binghamton along with Northeast River Forecast Center is pressing forward to identify data voids, solicit lake discharge information from local users, and expand lake and river forecast points.  This poster will provide an overview of the current state of forecasting in the Finger Lakes region and a vision for future improvements.

_**Site Specific Modeling**_
**Sites under consideration:**

_**NWS Office Responsibility**_

_**Oswego Basin Forecast Capability**_

_**Owasco Lake Watershed**__** **_

_**Owasco Lake Rule Curve**_
_**Management**_

_**Owasco Lake Enhancements**_
**Will allow City of Auburn to provide planned discharges out through 24-hours:**

_**Ongoing / Planned Work**_

_**Oswego Basin Population Density**_

- Source: NY Canal Corporation

- Source: NY Canal Corporation

- Forecast challenges include:
- Complete or partial data voids.  Ideal forecast scenario requires real-time or near-real-time data for:
- 	-Watershed rainfall and snow observations
- 	-Inflow data from largest tributaries
- 	-Lake level elevation
- 	-Lake discharge (planned)
- 	-Lake discharge (observed)
- Lack of real-time data.
- Inadequate coordination between numerous local lake regulators on lake level operation.
- Limitations of present hydraulic model inaccurately simulating complexity of canal system.

- Rule curve management:
- Can vary from year to year
- Has been influenced by local issues (e.g. in 2007, the lake was not drawn down far enough due to repairs that the City of Auburn was conducting at a given lake elevation)
- Consistent rule curve management is necessary.  Otherwise, a means is needed for the lake operators to notify the RFC and WFO of changes to lake level / outflow discharge.

- Source: NY Canal Corporation

_**Oswego Basin Radar Coverage**_

- Modeling of Onondaga Lake drainage.
-  Implement site specific at upwards to six sites
- Increase COOP and gage observations.
- Expand prototype web interface for Owasco Lake to other lake operators.
- Increase coordination along lake operators.
# Presentation: 746123

## S+Wavelets ModuleStatSci Division of MathSoft, Seattle, WA

- Innovation
-   -  S+Wavelets is a commercial toolkit that allows users to apply wavelet analysis to an extremely broad range of problems involving signal, time series or image data.

- Accomplishments
- -  The product is a module to the existing S-Plus software package that has been available commercially since 1995.
- -  As a module of S-Plus,  S+Wavelets allows users to develop a thorough, penetrating analysis of signal, time series or image data. This tool kit offers more than 500 analysis functions within an object-oriented environment.
- -   S+Wavelets is available for both Unix and MS-Windows work stations.
- -   The book *Applied Wavelet Analysis with S-Plus was* written under the same SBIR Phase II .
**-   **StatSci is integrating the S+Wavelets module into its MathCad product line, which is expected to be released commercially in late spring/early summer 1998. MathCad is the premier mathematical and engineering package for PCs.

- Commercialization
- -  S+Wavelets is being implemented as a module of the patented S-Plus software program, one of the most powerful data analysis software packages available today.
- -  The target audience is data analysts, scientists and engineers interested in the wavelet analysis of signals, time series, images and other technical and scientific data.
- -  S+Wavelets is sold separately or as an integrated portion of the S-Plus software package.
- -  From 1995 through January 1998, StatSci sold 526 units in the United States and approximately 155 units worldwide.
- -   Sales of *Applied Wavelet Analysis with S-Plus *has been more than 1,400 copies as of February 1998.

- Government/Science Applications
- -  The S+Wavelets module applications include signal processing, medical imaging, time series analysis, pattern recognition, non-linear signal estimation, data compression and transformation of objects from one-dimensional to two-dimensional data.
- -  Other applications that USG utilizes include noise removal, time/frequency de-noising, fingerprint image compression and prototyping fast algorithms.
- -  Other features of the module that lead to other applications include: perfect reconstruction property; dual implementation in S-Plus and C languages; orthogonal and biorthogonal wavelets; the ability to create new wavelet filters; support for arbitrary signal/image sizes; range of boundary treatment rules; and wavelet matrix filter operators.

**Points of Contact:**
-  NASA: Kirk Sharp, 228/688-1929.
-  StatSci: George Mellman, 206/283-8802
- 1991 SBIR Phase II;  SS # 13-001

- Stennis Space Center
- Date of Update: March 20, 1998
- Success Story Contract  NAS13-587-P1

**This screen demonstrates the best wavelet packet analysis of a quadratic chirp signal.**
# Presentation: 746115

## Structures Investigation

- Brian K. Murphy

## Certification Requirements(Vertical Stabilizer Loads)

- lateral gust

- engine failure

- Several conditions dictate the development of the aerodynamic loads used to design the vertical stabilizer:

- The first officer of flight 587 performed a maneuver for which the airplane was not certificated.

- yawing maneuver

## Certification

- The vertical stabilizer was designed and manufactured in accordance with the applicable certification requirements.
- During the full-scale test, a rear lug fractured in tension at nearly twice the design limit load, as expected.
- The analysis and testing done during the certification program were valid and complete.

## Main Attachment Fittings

**Main Attachment Fittings**

## Lug Strength Determination

- The strength of the lug was determined by:
- finite element analysis
- progressive failure analysis
- post accident lug tests

## Finite Element Analysis of the Lug

**FWD**

- Highest Stressed
- Region

## Progressive Failure Analysis

**Progressive Failure Analysis**

## Lug Tests

## Lug Fracture Load Comparison

**0.0**

**1.0**

**2.0**

**Test/Analysis Results**

**Normalized Lug Resultant Force**

- Limit Load

- Ultimate Load

**Lug Fracture Load Comparison**

## Lug Fracture Load Comparison

**0.0**

**1.0**

**2.0**

**Test/Analysis Results**

**Normalized Lug Resultant Force**

- Certification Test

- Limit Load

- Ultimate Load

- Lug Test 1

- Lug Test 2

- Lug Test 3

**Lug Fracture Load Comparison**

## Lug Fracture Load Comparison

**0.0**

**1.0**

**2.0**

**Test/Analysis Results**

**Normalized Lug Resultant Force**

- Certification Test

- Limit Load

- Ultimate Load

- Lug Test 1

- Lug Test 2

- Lug Test 3

- Flight 587

**Lug Fracture Load Comparison**

## Structural Analysis Findings

- The vertical stabilizer was designed in accordance with the applicable certification requirements.
- The right rear lug fractured at a load above ultimate load, in accordance with its design strength.

## National Transportation Safety Board

- American Airlines Flight 587
- Belle Harbor, New York
- November 12, 2001
- NTSB Board Meeting
- October 26, 2004
# Presentation: 202507

## Biological - Chemical Terrorism

- Janice White, M.P.H., Dr. P.H. (c)
- Captain B. Kevin Molloy, M.S.E.H., R.E.S.

## Bio-Chem

- What is it?
- What are some of the agents?
- How do they work?
- What can we do to prepare?

## Planning for Preparedness and Response

- Role of Public Health in detecting & managing incidents
- Roles of local, state, and Federal programs
- Strengthening relationships between medical & public health programs
- Building partnerships with emergency management, military & law enforcement

## Biological-Chemical Attacks

- Dissemination of aerosolized biological or chemical agents
- Contamination of food and /or water supplies
- Acts against agricultural industries

## Early detection

- As with emerging infectious disease, early detection and control depends on a strong and flexible public health system
- Primary providers must be vigilant because they will probably be the first to observe and report unusual illnesses or injuries

## Overt vs. Covert

- Chemical usually overt since effects are usually immediate
- Biological usually covert since there is a delay (incubation period) between exposure and the onset of illness
- Require a different dimension of emergency planning which involves the public health infrastructure - identified by medical staff

## Early detection is critical!

## Chemical Agents

- Warfare agents
- Sarin
- GF
- VX
- Toxic chemicals commonly used in industry
- Benezene
- Chlorine
- Pesticides

## Categories of Chemical Agents

- Blister Agents (Mustard Gas, Lewisite, Phosgene Oxime)
- Blood (Arsine, Hydrogen chloride, Hydrogen Cyanide)
- Choking/Lung/Pulmonary (Chlorine, Phosgene)
- Incapacitating (Agent 15, BZ, LSD)
- Nerve [Sarin (GB) Soman (GD) VX]
- Riot Control/Tear [CS, Bromobenzylcyanide (CA)]
- Vomiting (Adamsite, Diphenylchloroarisne)

## Nerve Agents

- Kills by binding up acetylcholinesterase, the body’s “off switch”
- Acetylcholinesterase removes acetylcholine, the body’s voluntary muscle and gland “on switch”
- Glands and muscles continue to be stimulated by acetylcholine - muscles tire and can eventually no longer sustain breathing functions

## How do we prepare?

- Planning will vastly improve our “chances” for successful response
# Presentation: 675989

## Key Questions

- From Peterjohn etal. 1999, FEM 119:247-257.

- How well do we understand the forest nitrogen cycle in upland and wetland forests?

- From Maryland Department of Natural Resources.

- How well do we understand the interactions of forest land management practices on nitrogen cycle in upland and wetland forests?

- What tools are available for assessing N dynamics in forested catchments (e.g. 6,00 ha tract) ?

**Key Questions**

## Workshop Goals

- Consider models for assessing N dynamics in eastern forests;
- Discuss the state of our understanding and key uncertainties;
- Consider the tools needed by land managers;
- Consider the merits of a common data set for model comparison.
# Presentation: 801197

## System Overview and Demonstration

- DOTS+ Online

## Using DOTS+

- Access is through specific terminals via X.25 protocol.
- Data entry can be tedious and error-prone.
- There is no notification of changes – updates must be explicitly requested each time.

- Interaction with DOTS+ is currently done with plain ASCII messages...

## TKF.AAL934.1010.KIAD.ZSPD.300.ORVIT.2020.10.

**TKF.AAL934.1010.KIAD.ZSPD.300.ORVIT.2020.10.**

- The old way.

## The new way.

## Using DOTS+ Online

- Will allow users to do everything with DOTS+ that they do now.
- Access is through any common web browser via the Internet (will support Internet Explorer 6.0 and Firefox 2.0 at minimum).
- Immediate validation of data avoids erroneous submissions.
- Updated data is pushed to users automatically in real-time and near real-time.
- Frequently submitted data can be stored in template-like lists that can be submitted en masse.
- Customizable appearance and settings for each user.

- DOTS+ Online will provide a robust, user-friendly interface...

## System Status Monitoring

- Overall system status is monitored and displayed (indicates connectivity with DOTS+).
- The last update time for the GRL is displayed.
- The current DOTS+ phase (e.g., “PLANNING”) is displayed.
- The time remaining in the current phase is displayed.

## Stored Reservation Requests

- Frequently used requests can be stored for regular submission.
- Stored requests can be modified as needed before being submitted.

## Dynamic GRL

- Gateway Reservation List has two views.
- _Table View_ shows all data in a sortable spreadsheet-style list.
- Cells containing updated data are highlighted.

- Changed data

- Changed row indicator (click to clear highlights)

## Dynamic GRL

- _Graphical View_ shows gateway reservations by altitude over time.
- Reservations can be dragged to new times and/or altitudes, automatically generating a request to DOTS+.

## Current Project Status

- Implemented in Java (Java Server Pages and applets), Javascript, and Asynchronous Javascript with XML (AJAX).
- Currently 11,444 lines of code.
- Overall development is approximately 85% complete.
- First deployment expected as scheduled, 1st Qtr FY08.

## Today’s Demonstration

- A “Testing and Training” server is on the Internet at _[http://dotsplus.cssiinc.com](http://dotsplus.cssiinc.com/)__._
- The demonstration will use this server.
- No actual DOTS+ machines are currently connected – a “DOTS Simulator” is performing very limited DOTS functions.
- For those interested, accounts can be set up to use the Testing and Training server.

## Slide 12