BEE-spoke-data/govdocs1-by-extension huggingface dataset:
# Presentation: 180047

## Study of 3D cloud radiative effects using MODIS data          

**Tamás Várnai****a**** and Alexander Marshak****b**
**a****JCET, University of Maryland, Baltimore County, ****b****NASA Goddard Space Flight Center**

- Outline:
- MODIS data in I3RC project
- View-angle dependence of MODIS cloud optical thickness

## MODIS data in I3RC project

- (Intercomparison of 3D Radiative Codes)

- I3RC goals:
- Comparison of 3D radiative transfer models
- Create benchmark 3D results
- Open source toolkit
- Educational web site

- Phase III intercomparisons (October 2005):
- Lidar multiple scattering
- Cloud field observed by MODIS, MISR, ASTER

## Test scene for I3RC Phase III

- Biomass burning region in Brazil
- (17° South, 42° West)
- August 9, 2001, 10:15 AM local time
- Solar zenith angle: 41°

- MODIS granule

- MISR block

##  Test scene

- 1 km resolution

- 250 m resolution

-  Test scene

##   MODIS cloud products

-   MODIS cloud products
- Cloud optical thickness  		       Droplet effective radius

## View-angle dependence of MODIS cloud optical thickness

## Data

- Virtually all daytime granules for 6 months   (Aug. 2004-Jan. 2005)
- About 7% of scan lines
- 11 μm BT and cloud products at 1 km resolution
- High-confidence retrievals
- Liquid cloud phase

## Clouds over ocean

- High sun (30° < 0 < 55°)

- Low sun (55° < 0 < 80°)

## Dependence on solar zenith angle

- High sun

- Low sun

## Possible causes of behavior seen for heterogeneous clouds

- Radiative effects of cloud heterogeneity

- Considered:
- Daily cycle
- Latitude-dependence
- Solar elevation
- Cloud altitude
- Gaseous absorption
- Aerosol effects
- Surface effects

## Summary

**MODIS data are used for setting up test cases in phase III of I3RC project.**
**3D cloud structure influences the view-angle dependence of MODIS cloud optical depths; its influence on cloud droplet size is much smaller.**
**View-angle dependence is used to assess radiative effects cloud inhomogeneity and its climatology.**

## Study of 3D cloud radiative effects using MODIS data          

**Tamás Várnai****a**** and Alexander Marshak****b**
**a****JCET, University of Maryland, Baltimore County, ****b****NASA Goddard Space Flight Center**
# Presentation: 714894

## The Model Code Process 

- New York States Interaction with the International Family Of Code

- From Spectators

- To Amendment Sponsors

## SUPPORT

- Request For Proposal (RFP)
- Four Year Contract
- Potential for two, yearly updates
- Staff Received Training
- Assistance in writing our training
- Provided 800 sets of basic I codes program
- 6 days for basic I codes
- 3 days on enhancement
- 4 year membership to ICBO for 12 staff
- 1 year membership for each municipality in NY- 1,489;
-      2 bldg, 2 fire.

## SUPPORT

- Print the NY Codes- the clean & the dirty
- Copy of all codes to each certified CEO- 5,000 copies
- NYS updates- supplements
- Designated field person
- ICBO president attended NYSBOC public hearings,  meetings and DOS meetings
- Technical assistance

## PROCESS OF CHANGE

- Two fold process in New York
- I code change process
- New York adoption process
- Attended ICC Code Convention 1999
- Attended before code council voted
- 3 memberships to BOCA
- St Louis

## PROCESS OF CHANGE

- I Code amendment process
- Code change hearings in spring
- Comments
- Convention in fall

## PROCESS OF CHANGE

- Three model code groups
- Building Officials & Code Administrators International, Inc. (BOCA)
- International Conference of Building Officials (ICBO)
- Southern Building Code Congress International, Inc. (SBCCI)

## PROCESS OF CHANGE

- Rotate responsibility
- Secretariat for IECC & IRC (Ch 11) responsibility of Southern Building Code Conference
- Hearings are held on each code before a committee (Spring)
- Typically 9-13 members, from each model code group
- Proposals, timed argument & rebuttal period

## PROCESS OF CHANGE

- Public comment period
- Arguments presented at fall convention against committees’ actions.  (This year cut off 7/6/01)
- Sent representatives to hearing and convention in 2000, but submitted no proposals
- Interested in 2001 Supplement

## PROCESS OF CHANGE

- New York proposed changes to IECC
- Occupancy change 101.3.1.1 & IRC N1101.2.1
- Opaque doors
- Duct sealing
- Recessed light fixtures IECC & IRC
- Two pipe hydronic systems
- Exempt lighting within dwelling units
- Water heating appliance & equipment performances IRC

## PROCESS OF CHANGE

- ICC Committees
- Michael Burnetter sat on IECC committee
- Second staff member on existing building committee
- Requested another staff member on performance committee

## PROCESS OF CHANGE

- New York experience before and at the hearing
- E-mails and calls- wanted us to be more involved
- Lot of horse trading
- State of Conn. We loose and win
- Talk to the advocates
- Getting out of confusion?- Have a friend
- Think on your feet
- Pay attention to details: the IECC and IRC
- Large change passed, small change failed-
-    Jeopardized all
# Presentation: 512932

##       Regulatory Issues in the Photostability of Topical Drug Products

- W.C. Timmer*****, Ph.D., W.H. DeCamp*****, Ph.D.,
- and J.K. Wilkin**#**, M.D.
- U.S. Food and Drug Administration
- Center for Drug Evaluation and Research
- *Office of New Drug Chemistry
- #Division of Dermatological and Dental Drug Products

## OVERVIEW

**Public Health:  **more photostability info:
**Who?**    The Division wants to begin a discussion
- 			  on relevant information for topical DPs
**What?**  The Division requests more information on 			  	  actual conditions-of-use
**Why?**    The development of more topical DPs

## ICH

- Q1B Photostability Guidance
- systematic approach to photostability testing
- DS:  forced & confirmatory testing
- DP:  h + exposed/immediate/marketing pack
- identification of photodegradants
- Adopted by FDA:  62 _**Fed**_. _**Reg**_. 27115.

## RATIONALE

- Current ICH Photostability guideline:
*does not specify conditions-of-use*
- Purpose:  to begin discussion of 		 		 	 conditions-of-use for topical DPs

## EXAMPLE

- Suppose:  DS/DP                 photodegradants
_***What we would like to know***_***:***
- identification and quantitation of photodegrad.
- determination of mutagenic and carcinogenic                           	potential of photodecomposition products
- reactions between photodegradants and ???

## REAL WORLD EX. #1

-   _Drug Substance_:
-       topical application;
-   	 absorption spectrum
-   _NDA Sponsor_:
- photostability studies
- lamp spectrum
*Conclusions re photostability:*  **Nothing**!

_*what the FDA gets:*_

## REAL WORLD EX. #2

- Photostability of minoxidil solns (1996)
- Photodegradation follows 1st order kinetics:
***Additional useful information:***
- photostability on skin; effect of vehicle; effect of sunscreens (*i.e.*, when to apply; before/after)

## REAL WORLD EX. #3

- Metronidazole:
- 	**DS**:  	no loss under  							white/UVA
- 	**DP:**	_injectable_:
- 		     loss of < 5% UVA
- 		     loss of <2%  White
- 		_tablets_:
- 		     no loss
***What about the cream ?  What about UVB ?***

_*from a collaborative study:*_

## COLLABORATIVE STUDY

- Most obvious change:  Color
- Photolabile:  DP  < DS
- (protective effect of excipients & package)
- (starting point for conditions-of-use-testing:
-  --start with DP and work backwards)
- Degradation pathways are complex

## REAL WORLD EX. #4

- Sunscreens:  21 CFR 352
- Better photochemical information:
- PBSA + h                 photosensitizer
- Interaction with other topical agents:
- sunscreen + DEET
- Photodegradation information

## DDDDP REQUESTS

- In a new drug application (NDA):
- minimum information:
- 200 - 700 nm UV-VIS for DS & DP
- specific labeling requirements
- better information:
- knowledge of photochemical & photobiological  behavior under conditions-of-use

## INFORMATION

**From industry**:
- development of standardized testing methods to measure photodegradation of topical DP
_**Bottom Line**_***:***
- 	What we really want to know is the effect of sun (or light) on the DP over 8-12 hours.

## Slide 13
# Presentation: 870901

## Preparing for a QRT

- Brian E. Smith
**WFO Omaha/Valley **
**WCM/SOO Conference, Feb 13-15, 2007**

## Prior to QRT Team Member Arriving

-  **As soon as initial survey evaluation suspects an EF4 or EF5,  a call should be made to CRH to request a QRT**
** ****Get as much detailed information (photos, type of  construction, and location) of the suspected EF4 or 5  area.  **
** ****Arrange with the local Emergency Manager  or Law Enforcement for the QRT member to enter the area**
**Gather appropriate maps for the area to be used for a ground and/or aerial survey**

## During  and After the QRT

-  **QRT Conducts survey (Ground and/or Air)**
** ****Reports preliminary findings to CRH and WFO**
** ****If WFO desires, a media conference can be held with the preliminary information**
** ****QRT member upon return may reevaluate photos and findings and may provide a final track map**
# Presentation: 434800

## A Distributed Cluster Based Architecture for ConstellationsWW Technology GroupEllicott City MD

**ACCOMPLISHMENTS**
- Formulation of a System Organization Framework.
- Production of a Baseline Use Case Analysis.
- Production of a Distributed Fault Tolerant Element Discovery Protocol.
- Implementation of a System Organization Prototype.**	**
**  ****	****	****COMMERCIALIZATION**
- Customers, including industry, already showing interest.
- Industry needs architecture for robust multiple peer systems.
- Flexible and extendable with multiple applications.
- Critical roadmap** **step for constellations and sensor webs.

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

- 2001 Phase I, SS5-065

**GOVERNMENT/SCIENCE APPLICATIONS**
- Critical Enabling Technology for Distributed Spacecraft and key for dynamic formulation of Sensor Webs.
- Infrastructure is key to discovering available nodes and initializing a group of distributed spacecraft or forming a sensor web.
- Enables sensor webs to discover elements and form web autonomously.
- Fits the GMSEC architecture and middleware paradigm.

**Goddard Space Flight Center**

**INNOVATION**
- Software based infrastructure that facilitates dependable formation and operation of distributed real-time control systems. Several innovations advance the state of the art in distributed systems technology, including: (1) cold start algorithms for autonomous, dependable system organization and formation,  (2) distributed on-line configuration control, monitoring and health assessment processes operating in concert across the entire system for coordinated system operation, (3) a multi-level scheduling approach, so distributed control elements will be responsive to local events and participate in system wide coordinated operations and (4) a robust fault/error model accounting for arbitrary fault/error cases and anomalies, thereby providing superior fault tolerance, particularly for Single Event Upsets.

- Points of Contact:
- 	NASA – John Bristow (301) 286-3647
- 	WWTG - Chris Walter  (410) 418-4353
# Presentation: 373047

## Piedmont National Wildlife Refuge

- January 12, 2003
- Smoke Simulation Analysis
- Gary L. Achtemeier
- USDA Forest Service
- Athens, GA

## Task Description

- The following set of slides summarize a PB-Piedmont post-burn analysis of smoke movement in the aftermath of a 1018 acre prescribed burn conducted by the Piedmont National Wildlife Refuge. The burn was conducted on 12 January 2003. The model simulations run from 1700 EST 12 January through 0800 EST 13 January.

## Weather

- Weather during the burn was clear and dry but became progressively cloudy during the post-burn period. Cloud cover increased from scattered clouds to breaks in a cloud deck at about 10-15,000 ft (3-5,000 m). A weak frontal trough extended across the area leaving burn site winds blowing mostly but weakly from the west. Then synoptic forcing became weak and at one time favored winds blowing from the north. Later in the night a high pressure regime built into the area from the west. The stronger synoptic pressure gradient acted to blow smoke up-valley and over a ridge to the east of the burn site.

## Modeling Information

- PB-Piedmont Version 3.0-2003
- Grid spacing = 60m
- Domain size = NA
- Visual domain = NA
- Weather data: Hourly METAR
- Elevation data: USGS 30 m DEM

## 1800 EST 12 January 2003 PNWR

- The modeled location of smoke on the ground at 1800 EST – about 15 minutes after sunset. Drainage forcing is the reason for the “threaded” patterns in the plume. Grid spacing is 60 m. maximum elevation difference is about 150 m.

## 2300 EST 12 January 2003 PNWR

- During this period synoptic forcing favored winds blowing lightly from the north. Synoptic forcing coupled with drainage forcing to send most smoke down valley.

## The next slide shows smoke at 0500 EST. Cloud cover in PB-Piedmont causes weakening of drainage forcing. Thus drainage forcing declined after midnight just when synoptic forcing increased with the approach of a high pressure system from the west. The resultant effect was smoke blown up-valley and over a ridge to the east of the burn site. Smoke channeled up several side valleys to the ridge.

- At 0450 EST, Fish & Wildlife Service personnel noted smoke all along a road running along the ridge line. Click the left mouse button to highlight in red where smoke was observed.

## PB-Piedmont 3.0 PNWR 01/12/03 0500 EST

## Summary
# Presentation: 816811

## Electron ID 

- Nonaka@Nagoya  univ.
- Yoon @Gyonsang univ.

## Electron ID in ECC

**(<****ν****E****>~****80GeV****)**

- Condition for e-pair search
**  ****(1)more than 2 segments tracks.**
-   **(2)position difference** **Δ****<****30μm**
**  ****(3)Angle difference****  Δθ****<****20mrad**

**Position difference Δ**
**      ****Angle differenceΔθ**

- Size:**600x600μm**From vertex to most downstream plate in ECC

## Status of electron ID 

- Number of located events  ・・・404 events
- Number of 1ry tracks         ・・・1681 tracks
- [~March/2003]
- Number of analyzed events ・・・ 330 events
-                                                      (1122 tracks)
- [Now]
-    Number of  analyzed events ・・・170events
-       * _with 1ry μ:152events_          (553 tracks)
-          no 1ry μ    :18  events

***52 events*** were identified as νeCC

***4events (6 tracks) have***
*** ******not yet*** ***analyzed***

**Notes:**
So,main aim for these analysis is the estimation of the background from pi0-2gamma .

## Result of selection 

| ECC | # of 
1ry tracks | # of 
Events
(# of no 1ry μ events) | # of selected 
  e-pair 
candidates  |
| --- | --- | --- | --- |
| 1 | 124 |   31(1) |  14 |
| 2 | 108 |   34(1) |  10 |
| 3 |   52 |   21(6) |    6 |
| 4 |   52 |   17(1) |   13 |
| 5 |   61 |   18(1) |    3 |
| 7 | 109 |   34(4) |    9 |
| 8 |   47 |   15(4) |    2  |
|  | 553trks | 170ev |  57tracks |

## Result of confirmation

**57 tracks **
**      ****cascade shower electron       3 trks      Primary electron     ****2**
**      ****other penetrating tracks    48              Pi0****            ****1**
**      ****other 1ry tracks                    3**
**      ****cosmic ray                             3**
**      **

## Result of electron search

- 400 events (1675 tracks) have been analyzed for electron ID.
- 54 tracks have been identified as electron.
- _Number of observed ν__e__CC__ is 54 events_.
- In νμCC,no electron tracks have not been detected.

## Δφ distribution

- Δφ

- Tracks identified as electron

- Other tracks

- Δφ

- ・ν flux
- ・PYTHIA 5.7

## Vertex position distribution 

- 0       3Xo
-  vertex position

-     SFT                     ECC

## Detection efficiency (Monte Carlo)

- MonteCarlo
- ・ν flux
- ・PYTHIA 5.7
- ・GEANT 3.21

- ---Result---
- 50%  @1.5Xo
- 57%  @3.0Xo

## Downstream  Events (197events)

|  |   νeCC |   νμCC |  νNC |
| --- | --- | --- | --- |
| Observed Number |     32 |      70 |       95 |
| Corrected Number |     85 |      87 |       25 |
| ratio | 0.43±0.08 | 0.44±0.08  | 0.13±0.10 |

*Predicted ν**Flux *
*νe**CC**:νμ**CC**:**ν**NC*
*=0.375:0.375:0.25*

-  Upstream Events(106 events)

|  |   νeCC |   νμCC |  νNC |
| --- | --- | --- | --- |
| Observed Number |     14 |      51 |       41 |
| Corrected Number |     26 |      63 |       17 |
| ratio | 0.25±0.10 | 0.59±0.12 | 0.16±0.14 |

**Result****(****νe****CC****:νμ****CC****:****ν****NC****)**

## From now...

- For more high detection efficiency,
-    condition of epair search will be changed.
- The estimated detection efficiency should be confirmed by other test experiment.
- (SLAC   50 GeV/c, ECC200(IRON))
# Presentation: 538638

## Science Reporting	

- A Journalist’s Perspective
- Kate Tobin
- CNN Science & Technology

## TV News and the art of the quick-turnaround

- A few days notice is typically the most we get on a story
- Not unusual to get an assignment at 9am and have it on the air by 5pm
- Research, on-camera interviews, visual elements all have to be pulled together on the fly
- Most TV news reports are 90 seconds to two minutes long

## Newsgathering:  How does it work?

- Someone has to tell us about a story, and make a case that it is newsworthy
- “Science”, “Nature” and other peer reviewed journals
- Press releases
- Emails
- Phone calls

## Why not more science stories on TV news?

- Many news organizations do not have a separate department for science news
- Many general news reporters find science topics intimidating
- Science stories can be hard to understand for general assignment journalists
- Science stories can be visually challenging

## But the #1 reason is the “news marketplace.”

- Iraq War
- National Security/Terrorism
- International News
- Mid-term Elections
- Entertainment/Pop Culture
- Sports
- Medical News
- Scandal du jour

## What factors influence whether or not a science story gets covered?

- True newsworthiness
- Is it interesting/comprehensible?
- Adequate lead time
- Availability of researchers to speak on camera
- Availability of supporting visual elements

## Pitfalls

- Start the camera rolling and some scientists turn into their own worst enemy
- Nervousness
- Concern about how they will play to their peers
- Concern about how they will play to their bosses
- Lack of compelling visual elements

## “Long Form” Coverage

- Documentaries are far more expensive than spot news, and take much more planning
- Often the best format for comprehensive analysis of a multi-faceted issue
- Offers the time and space to explore various viewpoints, and to put them in proper perspective
- Often take 3-6 months to produce

## Live Guests

- Staple of 24 hour news
- Guest segments are often pulled together in just a couple of hours
- Guest selections are typically made by Guest Bookers (who sometimes ask us for suggestions, and sometimes don’t)
- Considered bad journalism to have a one-sided guest segment

## The politics of earth science:  what’s a journalist to do?

- Journalists’ holy grail:  balanced reporting
- So is human activity changing the global climate – yes or no?
- Hypothesis vs. theory vs. fact
- Motivated individuals will use the inherent uncertainty of the scientific method to spread doubt
- Journalists sometimes feel caught in the middle
# Presentation: 346367

## Use of Handles at the Naval Postgraduate School

- Lillian W. Gassie
- Head, Technical Services & Systems
- Dudley Knox Library, NPS

## The Context

- Unclassified NPS theses were born-digital since Sept 2001
- Classified NPS theses to be submitted digitally by March 2003
- NPS technical reports produced digitally since 2002
- Library catalog has about 7,500 records with URLs, more added on a daily basis

## Slide 3

## The Problems

- Library domain name changed in April 2002 from web.nps.navy.mil/~library to library.nps.navy.mil
- Last month, we manually changed URLs of 245 reports from the Army War College
-  Before 2002 librarians were unable send DTIC digital TRs as hyperlinks to patrons, only as attachments (huge PDF files were a problem)

## How We Currently Use Handles

- For catalog records (with confidence that the URL will not change on us)
- In bibliographies sent to patrons via email

## How We Could Use Handles

- Campus-wide, for standardized and controlled access to digital materials and reduced effort in URL maintenance
- To be used for publications by various departments on different servers
- For multimedia learning objects
- For our digital library supporting a new curriculum on homeland security
# Presentation: 908180

## M3D Scaling studies 

- Jin Chen
- M3D Group
- M3D meeting, Sept 08, 2006
- M3D meeting, Sept 29, 2006

## Motivation

- To prepare for petascale calculations:
- 		Total M3D Time = 726.879607
- 		M3d-Par            13392     2.0653e+02
- 		KSPSolve             241      2.7470e+02
- KSPSolve to solve linear systems                                                          arising from finite-element descritization of elliptic equations
- m3d2par and Par2m3d to copy data back and forth                             between fortran data datadistribution and petsc data layout
- Their efficiencies are critical for optimization on petascale computers.

## Outline

- 3D (r,θ,φ) strong scaling
- 3D (r,θ,φ) weak scaling
- 1D (φ) weak scaling
- 2D (r,θ) weak scaling
- Solutions

## 3D (r,θ,φ) strong scaling

- nstp=20.
- Configuration Parameters:
- A    32     32     32
- B     8       8       8
- C   436   436   436
- D     2       2       2
- E     5       5       5
- F    11     17     23

## 3D (r,θ,φ) weak scaling

- nstp=20.
- Configuration Parameters:
- A    16     32     64
- B     4       8     16
- C   283   356   398
- D     1       2       2
- E     4       5       6
- F     4       7      11

## 1D (φ) weak scaling

- nstp=100.
- Configuration Parameters:
- Changing
-     A                B
-    16                4
-    32                8
-    64               16
-   128              32
-   256              64
-   512             128
-  1024            256
-  2048            512
- Fixing:
- C=201,D=1,E=4,F=4

## 2D (r,θ) weak scaling

- nstp=100.
- Configuration Parameters:
- Fixing:
-              A=16, B=4
- Changing
-   C     D        E         F
- 283    1        4         4
- 356    2        5         7
- 398    2        6        11
- 427    2        7        15
- 446    2        8        19
- 459    2        9        23
- 469    2       10       27
- 479    2       11       31
- 487    2       12       35
- 496    2       13       39
- 501    2       14       43
- 505    2       15       47

## Strategy to improve M3D-PAR data copy

- Reduce toroidal ghost changes (m3d2par, m3d2part)
- Different poloidal partition to reduce poloidal ghost changes:                                                        		_2 times faster on seaborg_

## Strategy to improve M3D-PAR data copy – II

## 1D (φ) weak scaling for G Fu on Jaguar R=201

## 2D (r,θ) weak scaling – improved 9/29/06

## 3D (r,θ,φ) weak scaling – improved 9/29/06

## Problems fix on Jaguar

- Runtime memory limitation
- Solution: use only 1 processor per node
*	**	**	** **yod –SN m3dp_fsymm_opt.x ...*
- Code crashes when the number of processor increases from 2048 to 3076 or 4096:
- 			*module load gmalloc*
- 			*link –gmalloc as the last library to build m3dp.x*
- Wait too long when debugging code
- We need dedicated time to fix bugs only appeared on large number of processors.
- Fortran static array (stack)
- 			 *yod –SN –stack 500M m3dp_fsymm_opt.x ...*

## BGL

- I got an account.
# Presentation: 821708

## Spatial Localization of MHD-inducedEnergetic Ion Loss during H-mode Discharges in NSTX

***Columbia U***
***Comp-X***
***General Atomics***
***INEL***
***Johns Hopkins U***
***LANL***
***LLNL***
***Lodestar***
***MIT***
***Nova Photonics***
***NYU***
***ORNL***
***PPPL***
***PSI***
***SNL***
***UC Davis***
***UC Irvine***
***UCLA***
***UCSD***
***U Maryland***
***U New Mexico***
***U Rochester***
***U Washington***
***U Wisconsin***
***Culham Sci Ctr***
***Hiroshima U***
***HIST***
***Kyushu Tokai U***
***Niigata U***
***Tsukuba U***
***U Tokyo***
***JAERI***
***Ioffe Inst***
***TRINITI***
***KBSI***
***KAIST***
***ENEA, Frascati***
***CEA, Cadarache***
***IPP, J******ü******lich***
***IPP, Garching***
***U Quebec***

**S. S. Medley**
*Princeton Plasma Physics Laboratory, PO Box 451, Princeton, NJ 08543 USA*

**XP-504 Review**
**February 9, 2005**

## Illustration of MHD-induced Ion Loss during H-mode  BT = 4.8 kG, IP = 0.8 MA, Source A & B @ 90 keV, Low MCP Bias

** **

** **

**Illustration of MHD-induced Ion Loss during H-mode**  BT = 4.8 kG, IP = 0.8 MA, Source A & B @ 90 keV, Low MCP Bias

**• ****Following H-Mode onset at 230 ms, the NPA spectra show significant loss of energetic ions *****only for E>E******b******/2*****.**

**• ****Loss observed to decrease with increasing R****tan**** and NB energy.**
***                  ******Medley, et al. Nucl. Fusion 44 (2004) 1158***

## Layout of the E||B NPA on NSTX

** **

** **

**• ****Positive  NPA R****tan**** sightlines view co-going ions: negative R****tan**** view counter-going.**

**Layout of the E||B NPA on NSTX**

## Preliminary Evidence for Spatial Localizationof MHD-induced Energetic Ion Loss

**• ****Scan shot range: 111478 - 92 with sources A & B @ 90 keV.**
**• ****Mostly ratty short discharges with IRE activity.**
**• **** ****No CHERS data.**
**• ****Energetic ion loss in the region E > E****b****/2 appears to be localized in the spatial range**
** ****60 <  R****tan**** < 115cm (encircled region). **

## XP-504 Candidate Reference Shot

## XP-504 Shot Sequence

**• ****Perform a beam energy scan (60 - 100 keV) at maximum loss region (~ 4 shots)**

**• ****Skip small Rtan shots if no loss evident and increase resolution in loss region.**

## XP-504 Summary

**• ****Finalize reference discharge with early H-mode (sources A & B @ 90 keV).**
**• ****CHERS, MPTS, MSE and magnetics (EFIT) are essential.**
**• ****Perform horizontal scan over range -75 < R****tan****(cm) < 125 (~ 16  shots)**
**• ****Scan Source B energy in range 60 -100 keV and measure loss at optimum**
**  ****R****tan****(~4 shots).  Source A @ 90 keV required for MSE.**
**•  ****Total shots ~ 20: 1-Day**
**•  ****Perform TRANSP analysis with spatially localized enhanced fast ion diffusion**
**   ****to mimic MHD-induced loss (Medley) and refine ORBIT modeling of the MHD**
**   ****loss mechanism (Gorelenkov).**

## Layout of the E||B and Solid State NPAs on NSTX

**Layout of the E||B and Solid State NPAs on NSTX**
# Presentation: 203056

## OSSEPP:  How it can be your friend in the field

*Patrick Dobson*

## OSSEPP Documentation

- Required by LBNL ESD for all field-related activities
- Project description
- Identification of hazards
- Emergency resources and contacts
- Training, PPE, and risk-reducing measures
- Site personnel
- Identification of environmental threats
- Site clearances and permits
- Work schedule

## Hazard Identification

- Site-specific hazards
- Climate, physical, chemical, and biological
- Work-specific hazards
- Travel (e.g., off-road, boat, aircraft)
- Work environment (e.g., confined space, dust)
- Equipment (e.g., electrical, laser, high pressure)
- Radiation (e.g., radiation source, NORM)
- Materials (e.g., chemicals)

## Emergency Resources 

- Identify location of emergency responders near field area (addresses, phone numbers, and maps)
- Hospital/clinic/ambulance service
- Police/fire
- Develop a emergency response plan
- Emergency contacts (lab and family)
- Meeting area
- Have a means of communication
- Cell phone or satellite phone (LBNL Telephone Services can provide you with satellite telephone for use worldwide)

## Training and Hazard Mitigation

- Basic training required for all field activities
- First Aid, CPR, Fire Extinguisher
- Personal first aid kits can be checked out from LBNL Medical Group
- Define additional training based on identified hazards (make sure training is updated)
- Identify PPE required for safe work
- Develop safe work practices
- Conduct on-site safety briefings prior to work

## Environmental Protection and Permitting

- Identify potential hazards posed to environment by work activities
- Develop damage and mitigation measures
- Obtain all needed permits and clearances prior to conducting work
- Land owner permission
- Regulatory permits
- Utility screening

## OSSEPP is What You Make of It

- Revise OSSEPP as needed to reflect changes in work activities and conditions
- OSSEPP belongs to all project participants
- Work with EH&S staff to obtain guidance on hazard identification and mitigation
- Plan your work with safety in mind
# Presentation: 741232

## Training of Process Facilitators

**Training of Process Facilitators**

**1-1**

## 1-2

**1-2**

**Training of Process Facilitators    **

## Training of Process Facilitators    

**Training of Process Facilitators    **

**1-3**

## The goal of this training isto provide Process Facilitators with the knowledge and skills to help facilitate each phase of the Communities That Care system in communities.

- The goal of this training isto provide Process Facilitators with the knowledge and skills to help facilitate each phase of the *Communities That Care* system in communities.

**Training of Process Facilitators    **

**1-4**

## Participants will be able to:
explain the Communities That Care system, the research foundation and the five-phase process to a variety of audiences
explain the role of the Process Facilitator in helping to implement the Communities That Care system
help communities overcome obstacles and complete the milestones and benchmarks of each phase of the Communities That Care process
demonstrate effective group facilitation skills.

- Participants will be able to:
- explain the *Communities That Care* system, the research foundation and the five-phase process to a variety of audiences
- explain the role of the Process Facilitator in helping to implement the *Communities **That Care* system
- help communities overcome obstacles and complete the milestones and benchmarks of each phase of the *Communities That Care* process
- demonstrate effective group facilitation skills.

**Training of Process Facilitators    **

**1-5**

## Training of Process Facilitators    

**Training of Process Facilitators    **

**1-6**

## Training of Process Facilitators    

**Training of Process Facilitators    **

**1-7**

## 	Everyone gets a chance to speak.

- 	Everyone gets a chance to speak.
- 	Everyone listens whensomeone has the floor. (No side conversations.)
- 	One person talks at a time and doesn’t get interrupted.
- 	Respect others’ perspectives and ideas. (No put-downs.)
- 	Start and end on time.

**Training of Process Facilitators    **

**1-8**
# Presentation: 334307

## Ion Beam Induced Exfoliation of Silicon Structures J.W. Mayer, T.L. Alford, Arizona State Univ.; S.S. Lau, UC-San Diego DMR-0308127

- Fig.1 A sketch of the approach to achieve Si layer transfer using plasma hydrogenation.

- Fig. 2 TEM shows a high-quality, exfoliated, defect-free Si layer of less than 20 nm thickness, which is not achievable by conventional techniques.

- The International Technology Semiconductor Roadmap requires ultra thin silicon layers less than 20 nm thick by 2012. The conventional ion-cut process, utilizing hydrogen ion implantation, can be used to initiate layer delamination at desired depths, but the process causes significant residual ion damage in the transferred layer. We have demonstrated for the first time a novel approach with potential advantages for transfer of such ultra thin Si layers onto handle wafers. We first create a thin hydrogen trapping layer at a specific depth, e.g., by growth of a defective layer. This is then followed by plasma hydrogenation (Fig. 1). We found that a thin Sb-doped layer grown by MBE served as an effective trapping site for hydrogen. Our results shown in Fig. 2 provide direct evidence of the feasibility of using the plasma hydrogenation and defect trapping process to exfoliate a _15 nm relatively defect free silicon layer_. We have achieved this with the hydrogen-plasma process whereas the thinnest layer (75 nm) transferred by the hydrogen ion implantation process is five times thicker. The next critical step is the evaluation of the device quality of such ultra thin transferred layers, and this work is under way.

## Si layer transfer without any ion implantation

- Fig.2 Top Si(190nm)/Si0.8Ge0.2 (5nm)/Si substrate                after hydrogenation

- We show here that  a buried nanometer thick layer can serve as H trapping centers. A thin SiGe layer is used as an example here. In conjunction with H plasma hydrogenation, lift-off of the top Si layer can be realized with cleavage occurring at the depth of the strained SiGe layer.  This technique avoids irradiation damage within the top Si layer, caused by heavy ion implantation used to create H trapping layers in the traditional ion-cut method.  We explain the strain-facilitated layer-transfer due to preferential vacancy agglomeration within the strained layer and subsequent trapping of hydrogen, which lead to cracking in a well controlled manner.

**Ion Beam Induced Exfoliation of Silicon Structures **J.W. Mayer, T.L. Alford, Arizona State Univ.; S.S. Lau, UC-San Diego DMR-0308127

## Broader Impact

**Ion Beam Induced Exfoliation of Silicon Structures **J.W. Mayer, T.L. Alford, Arizona State Univ.; S.S. Lau, UC-San Diego DMR-0308127

**Broader Impact**

- Graduates students, Prasad Shetty  and Ramya Govindasamy, work with undergraduate student Edward Williams to  demonstrate the temperature dependence of the exfoliation process.
# Presentation: 252906

## Mission Support

**Inspection**

- Corporate Learning Course

## Inspection
Main Points

The Inspector General Program
Safety Issues
Administration
How these actions support CAP’s three main missions

**Main Points**
**The Inspector General Program**
**Safety Issues**
**Administration**
**How these actions support CAP’s three main missions**

**Mission Support**

- Corporate Learning Course

## Inspection

The Inspector General Program
Unit inspection program
Self-assessment program
Grievance/complaints program
Outstanding/problem areas within the wing

**The Inspector General Program**
**Unit inspection program**
**Self-assessment program**
**Grievance/complaints program**
**Outstanding/problem areas within the wing**

**Mission Support**

- Corporate Learning Course

## Inspection

Safety Issues
IG involvement with the No-notice inspection program
IG importance with regard to safety and quality assurance

**Safety Issues**
**IG involvement with the No-notice inspection program**
**IG importance with regard to safety and quality assurance**

**Mission Support**

- Corporate Learning Course

## Inspection
Administration
Accessing the IG system for assistance and advice
Training
How these actions support CAP’s three main missions
Aerospace education
Emergency Services
Cadet Program

**Administration**
**Accessing the IG system for assistance and advice**
**Training**
**How these actions support CAP’s three main missions**
**Aerospace education**
**Emergency Services**
**Cadet Program**

**Mission Support**

- Corporate Learning Course

## Inspection

The Inspector General Program
Safety Issues
Administration
How these actions support CAP’s three main missions

**The Inspector General Program**
**Safety Issues**
**Administration**
**How these actions support CAP’s three main missions**

**Mission Support**

- Corporate Learning Course

## Mission Support

**Questions?**

- Corporate Learning Course

## 

CAPSTONE EXERCISE

***CAPSTONE EXERCISE***

**Corporate Learning Course**

- Corporate Learning Course
# Presentation: 674390

## NCI Legislative UpdateNational Cancer Advisory Board

- NCI Legislative UpdateNational Cancer Advisory Board

- David Pugach
- Office of Policy Analysis and Response
*February 7, 2006*

## Legislative 

- Appropriations Update
- Congressional Activities
- Legislation of Interest

- Legislative
- Activities

## Appropriations –

- HR 3010 Conference Report:
- Adopted by House on December 14, 2005
- Adopted  by Senate on December 21, 2005
- Signed by President on December 30, 2005
- 	(P.L. 109-149)
- Bill Provides:
- NIH: $28.6 billion
- NCI: $ 4.8 billion
- P.L.109-148: FY2006 Defense Appropriations Act
- Provides a one percent across-the-board rescission to all government appropriations except for the V.A. and emergency spending

- FY 2006

## Appropriations –

- President’s Budget Request
- House
- No Hearing Date Yet
- New Majority Staff
- Senate
- Hearing Scheduled for March 15, 2006

- FY 2007

## Legislative Activities

- Status of Appropriations
- Congressional Activities
- Legislation of Interest

## Congressional Activities

- December 8:	Dr. Niederhuber met with
- 					Rep. Rosa DeLauro
- December 14:	Dr. Niederhuber met with
- 					Rep. Tammy Baldwin
- January 10:		Dr. Greg Downing, Director of OTIR, 					briefed staff for Senator George Allen
- January 11:		Rep. Michael Burgess visited NCI and 					met with Dr. Steve Rosenberg, Chief, 				NCI Surgery Branch, and Dr. Niederhuber

## Legislative Activities

- Status of Appropriations
- Congressional Activities
- Legislation of Interest

## Legislation of Interest

- P.L. 109-129: Stem Cell Therapeutic and Research Act of 2005
- Authorizes the C.W. Bill Young Cell Transplantation Program
- Provides for the collection and maintenance of human cord blood stem cells for the treatment of patients and research

## Other Legislation

- Other Legislation

- S. 2104 – American Center for Cures Act of 2005
- Bill would establish the American Center for Cures as a new IC
- Focus of Center would be to promote more rapid translation public and private research into therapies
- Center Director would be presidentially appointed
- Center would administer NIH’s technology transfer activities

## Other Legislation (cont’d)

- Other Legislation (cont’d)

- NIH Reauthorization
- No bill introduced
- Committee on Energy and Commerce has many competing priorities
- Pending Legislation from 1st Session

## NCI Legislative UpdateNational Cancer Advisory Board

- NCI Legislative UpdateNational Cancer Advisory Board
# Presentation: 689676

## Aerosol Lidar Validation Experiment (ALIVE)

- Micro Pulse Lidar

- Raman Lidar

**NASA Ames Airborne Tracking 14-channel**
**Sun photometer (AATS-14)**

**Cessna 206**

**Research Scanning Polarimeter (RSP)**
**Navigational and Meteorological **
**Parameters**

**DOE**
**Oklahoma, Sep 11-22, 2005**
**Lead Scientist: B. Schmid**

**Sky Research J-31**

## Purpose

- Validate Aerosol Extinction Profiles over ARM CRF in Oklahoma derived from ground-based Raman and Micropulse Lidars
- Validate Aerosol Extinction Profiles derived from ARM Cessna 206 in-situ aerosol plane (IAP)
- Derive aerosol optical properties by combining AATS-14 and RSP measurements.

## Status and Schedule

- J-31
- Various DOE and NASA Safety Reviews
- AATS-14: Currently being calibrated at Mauna Loa, HI.
- RSP: Successfully integrated and test flown Aug 8-10, Ashland, OR.
- Reintegration and test flight of entire payload Sep 8-10, Moffett Field CA.
- C206: Expected in Oklahoma end of August.
- Raman Lidar: Mods completed last week with one exception: Mirrors not up top spec – vendor is producing replacement mirror(s) to be sent to site on 9/7
- MPL: 2 systems will be deployed. New system has 300 m blind spot. Older system: double pulse problem being worked.

## Operations

**Flights centered on ARM CRF 36.60°N, 97.48°E. **
**Timeframe: Sep. 11 – 22, 2005**
**10 days on site **
**23 on-site research flight hours**
**10-15 short duration flights**
**Two types of flight patterns**
**VFR only, avoid sun obscured by cirrus clouds**

## Type 1: Regular ALIVE Flights

## 
J-31 will wait until Cessna starts its 15K’ leg then take off (~25 min lag)
Vertical separation is always more than 1500 ft
ATC radar flight following at all times
Continuos radio contact between 2 aircraft
J-31 will RTB immediately if radio contact is lost
3-4 such flights

- Type 2: Intercomparison Flights

- J-31 will wait until Cessna starts its 15K’ leg then take off (~25 min lag)
- Vertical separation is always more than 1500 ft
- ATC radar flight following at all times
- Continuos radio contact between 2 aircraft
- J-31 will RTB immediately if radio contact is lost
- 3-4 such flights
# Presentation: 033985

## Rescue and Retrieval of Historic Bering Sea Crab Data

- Russell E. Nelson, Jr.
- Beverly A. Malley
- Robert S. Otto
- NOAA/NMFS/AFSC/RACE
- Kodiak Laboratory

## Scientific Rationale

- Establishing a time series of information on eastern Bering Sea (EBS) king and Tanner crab is a major responsibility of the NMFS Kodiak Laboratory.
- Historic 1966-1974 EBS crab data includes survey results and fishing data on crab abundance that contains embedded environmental data on bottom temperatures and on-site weather observations.
- Currently, a controversy exists on the effects of changing climate on EBS resources, as well as other species in the region.

## Scientific Rationale (2)

- A relational database will be created that combines existing and archived records and integrates this database with Kodiak Laboratory’s internet homepage for dissemination.
- This database serves research and modeling efforts concerning population dynamics, fishery management, and ecology.
- Embedded environmental data could be used and integrated with other sources to increase our long-term knowledge of the effects of climate change.

## Specific FY 2007 Tasks

- The UN/FAO FSTAT website serves as a practical model for the objectives of this project.
- Pre-1966
- Almost entirely on paper media and consists of trawl survey data, tagging records, tag recovery records and biological observations
- Annual data sets likely fall in the 2,000 to 20,000 range
- Blind key verification techniques are requested
- 1966-1974
- Trawl survey data will need to keyed by the contractor.
- Annual data sets fall in the 2,000 to 20,000 records range.
- 1975-2006
- Data already in ORACLE Database, only needs only to be prepared for the internet.
- Data combined with existing in relational database, made available on:
- http://www.afsc.noaa.gov/Kodiak/default.htm

## Typical pre–1966 data deck sheet

## Typical 1966-74 data deck sheet

## CDMP Proposal Evaluation Criteria

- Proposal supports NOAA’s Ecosystem and Climate Goals
- Contribution to Improved Data Access and Rescue:
- Transfer of significant historical data from fragile paper media into text files
- Creation of a relational database that combines existing and archived records
- Integration of this database with the Kodiak Laboratory internet homepage will enable these historical records to be made available to a greater audience.
# Presentation: 267468

## 
Science and Technology Infusion Plan
for
Forecast Applications

**Science and Technology Infusion Plan**
**for**
**Forecast Applications**

*Suzanne Lenihan*

- NWS S&T Committee
- September 17, 2002

## Outline

**Team Composition**
**Vision**
**Key Gaps**
**Key Solutions**
**Outstanding R & D Needs**
**Summary**

## Forecast Applications Team Composition

**Suzanne Lenihan (NWS/OST)**
**Stephan Smith (NWS/OST)**
**Wendy Levine (NWS/SPP)**
**Carl Bullock (OAR/FSL)**
**Jason Tuell (NWS/OST)**

## Forecast ApplicationsVision

**Forecast Applications***Vision*

**Forecasters Supported by an Array of High Performance Tools and Cutting Edge Applications To Provide High Impact Forecasts and Warnings**

## Forecast Applications 

*Key Gaps*

**   ****Collaborate With Other Field Offices and Centers **
**   ****Detect, Analyze, Monitor, and Forecast**
**   ****Generate Digital Products**
**   ****Visualize the Atmosphere**
**   ****Verify Digital Products**

**Limited Ability to:**

## Forecast Applications Key Solutions

**Forecast Applications ***Key Solutions*

**03**

**04**

**05**

**06**

**07**

**08**

**09**

**10**

**11**

**12**

**02**

**SAFEAIR**

******* FxConnect **

**Merge WWA / Warngen**

**Collaborative**

**Detect, Analyze, Monitor, and Forecast**

**Product Generation**

**Visualization**

**Ensemble Based Apps**

**Regional Fire Risk**
** ****Assessment System**

**SAFESEAS **

**Metro-Area Snow Nowcaster**

**Merge RiverPro w/ **
**WWA & Warngen**

**SNOW**

**DamCat**

**SAFEFIRE**

******* IFPS**

**Verification**

**Daily Forecast Critique**

**FxNet Proposal **

## Forecast ApplicationsOutstanding R & D Needs

**Enhance Collaborative Forecasting Techniques *****(Video Box)***
**Develop Advanced Decision Support Systems *****(Smart Systems, Fuzzy Fusion)***
***Enhance Product Generation                       ******(Human Factors)***
**Improve Visualization Techniques                     *****(3D, GIS, Virtual)***
**Improve Verification Methods                                *****(Spatial/Temporal)***

## Forecast Applications Summary

**Forecast Applications**** *****Summary***

**2007**

**2012**

**Increasing Performance**

**2020**

**2002**

_**Vision**_
**Forecasters Equipped with Cutting Edge Tools To Provide Best Forecasts and Warnings in Digital Era**

_**R&D Needs**_
**Video Box**
**Smart Systems, Fuzzy Fusion**
**Human Factors**
**3D, GIS, Virtual**
**Spatial/Temporal**

- Improve Collaborative Tools
- Enhance Decision Assistance
- Expand Interactive Forecast Preparation System Capabilities
- Incorporate Visualization Techniques
- Improve Verification Methods

## Forecast Applications Backup

## Forecast Applications Backup

## Forecast Applications Backup
# Presentation: 778451

## Calorimeter: Overview

- <date/time>Nirmalya Parua

- Ursula Bassler

## Problems during Post-Shutdown Data Taking

- Problem with timing with respect to the beam.
- Frequent failures of BLS (base line subtracter) power supplies.
- Dead, noisy, hot electronics channels
- Problems in understanding ADC to GeV conversion.

## Timing Studies: triple sampling

**signal**

**time**

**0**

**+1**

**-1**

**comparison of energies measured at the **
**nominal BX,132ns earlier/later:**
**ratios allow to determine time offset**
**more precise timing from comparison with model**

**+ 81 ns**

**+ 97 ns**

**+ 113 ns**

**late/**
**nominal**

**early/**
**nominal**

**•**

**•**

**•**

******=0.77**

******=0.69**

******=0.78**

******=0.82**

******=1.04**

******=0.64**

******=0.61**

******=0.39**

- Mingcheng Gao

- Mingcheng Gao,. Columbia

- Collaboration Meeting - 13 Sept. 2001

## BLS Power Supplies

- Put Magnetic circuit breakers on all BLS supplies.
- A total of 36 supplies (+spares) needs to be worked on.
-  10 are already done.
-  We will finish this job in 3-4 weeks.

## Dead, Noisy and Hot Channels

- Lot of bad electronics channels were replaced during past few months.
- In particular during the supervised access of 2nd week of September ~ 400 bad channels were replaced.
- Data taken after run ~131000 are the cleanest .
- There is clear enthusiasm about reprocessing this data set with off-line hotcell killer (NADA) and corrected weight factor.
- More Hot cells were found by shifter’s using Examines.
-  During Shutdown we plan to eradicate these.

## Dead, Noisy and Hot cells

- Replacing bad preamplifiers.

## Alan Stone

-  using pulser with DAC=25k delay=0
-  T&C: x889, BLS: Base-2ticks, ADC: 0-sign suppressed

-  ADC measurement:
- DAC=25k  ADC counts:  6355

- em channel

- had channel

- Ursula Bassler

## Scope Measurement

-  1 em-channel (crate 8 ADC 6 BLS 0 Tower 3 Depth 3)

**PreAmp Input at BLS-card**

**Shaper Output  for ReadOut**

-  DAC=25k shaper Output=2.2V  SCA (after gain selection) 1.1V
-  Electronics Design:  4V in SCA = 32000 Adc counts
-  estimation: 25k = 1.1V= 8800 Adc Counts

## This problem was later identified by Dean as 2 resistors on the BLS board put in the wrong order.

- So all ADC to GeV conversion should be corrected by a factor of 1.4

## Runs Database from August 7- October 4 is available at

- \\D0server4\projects\CalorimeterElectronics\Tuts\Cal_Runs_databse\fpdb\cal.access
- Please look at the data and give us feed-back for hotcells, dead regions or starange behaviours.