BEE-spoke-data/govdocs1-by-extension huggingface dataset:
# Presentation: 090130

## 5 Year Optical Networks Roadmap

**Lou Berger****lberger@movaz.com**
**September 13, 2005**

## 5 Year Key Evolutionary Themes

**Topologies:****	****Rings ****	******** Mesh**
**Transparency: ****	****Service ****	******** Wavelength**
**Technology:****	****OEO ****	******** OOO****	****	****Fixed ********	******** Tunable****	****	****10G****	******** 160G****	****	****ms****	******** ********s/********s**
**Control:****	****Single Domain ****	******** Multi-Domain****	****Usage based****	******** Policy based****	****Rigid model****	******** Flexible model**

## Optical Network Services Roadmap

_**2005**_

_**2006**_

_**2007**_

_**2008**_

_**2009**_

_**2010**_

- 2.5G** ********10G ******40G
**Mainly OEO **
**Rate/Service specific**
**– ****SONET/GFP/VCAT**
**– ****Ethernet**
**Some optical handoff **
**– ****ITU Grid**
**– ****Client power management****(Tailored reach/power)**

**2.5G ******** ********160G**
**Full transparency**
**Protocol & rate ****independent**
**No OEO**
**Network manages****all optical ****parameters**

- 2.5G** ********10G ********40G**
**Rate/Service specific**
**– ****OTN – OTU/ODU**
**Optical handoff with**
**Rate/protocol specific****regen (WDM handoff)**
**Protection services **

******10G ********40G ******160G
**Mix of OEO/OOO **
**Service transparency ****using OEO & OOO**
**Photonic encryption**
**Optical handoff with****network power ****management**

## Optical Network Technology Roadmap

_**2005**_

_**2006**_

_**2007**_

_**2008**_

_**2009**_

_**2010**_

**Ring centric**
**Some multi-ring (n=2)**

**Arbitrary mesh**
**Some “rings” **
**– ****where needed**

**Ring centric**
**Multi-ring (n >= 4)**

**Rings at the edge**
**Mesh in the core**

**Economical****optical switching**
**Tunable lasers**
**OEO Regen**
**OEO ******** Conversion**

**OOO ******** Conversion**
**Reach conversion**

**Scalable/modular **** optical switching**
**Tunable filters / **** tunable add/drop**

**Large scale ****optical switching**
**OOO Regen**

**Network**
**Topology**

**Optical **
**Technology**

## Service Provisioning (Control Plane)

_**2005**_

_**2006**_

_**2007**_

_**2008**_

_**2009**_

_**2010**_

**Static/Manual**
**IETF GMPLS in ****private & labs**
**OIF (GMPLS) demos**

**User triggered ****lightpaths**

**Unified IETF/ITU model**
**GMPLS intra-provider**
**Experimentation with ****other approaches**
**Standardized in-fiber ****control channel**

**Optical (GMPLS) VPNs**
**GMPLS inter-provider**
**Alternate signaling ?**

## Key Research

**Deployable all optical regeneration**
**Deployable all optical translation**
**Automation of optical transmission engineering**
**Highly dynamic optical transmission systems**
**Components**
**Control system and protocols**
**Policy based control plane**

## 5 Year Optical Networks Roadmap

**Lou Berger****lberger@movaz.com**
**September 13, 2005**
# Presentation: 670975

## Introduction to Laser Safety

- Bob Curtis, OSHA Directorate of Science, Technology and Medicine
- Includes slides from University of Illinois at Urbana-Champaign

## UIUC

**UIUC**

## Laser Components

## UIUC

**UIUC**

## UIUC

**UIUC**

## UIUC

**UIUC**

## UIUC

**UIUC**

## UIUC

**UIUC**

## UIUC

**UIUC**

## This image is copyrighted.

## This image is copyrighted.

## This image is copyrighted.

## UIUC

**UIUC**

## Continuous vs. Pulsed Lasers

- Thinner pulses give higher peaks for same average Power.

## This image is copyrighted.

## Divergence of the Laser Beam

- See equation for calculating diameter of beam at distance r from the laser.

## Specular (Mirror) Reflection

- Specular reflection (left illustration) retains the columnar beam, and therefore, intra-beam exposure.

## Nominal Hazard Zone

## Slide 19

## Slide 20

## UIUC

**UIUC**

## Slide 22

## Slide 23

## UIUC

**UIUC**

## Slide 25

## This image is copyrighted.

## Slide 27

## This image is copyrighted.

## Slide 29

## Slide 30

## Slide 31

## This image is copyrighted.

## Slide 33

## Slide 34

## UIUC

**UIUC**

## This image is copyrighted.

## Slide 37

## UIUC

**UIUC**

## Slide 39

## UIUC

**UIUC**

## UIUC

**UIUC**

## UIUC

**UIUC**

## UIUC

**UIUC**

## UIUC

**UIUC**

## UIUC

**UIUC**

## UIUC

**UIUC**

## UIUC

**UIUC**

## Slide 48
# Presentation: 215665

## Planning Summary

- Need to estimate at the proposal stage the cross sections and hence the time to collect the data with the aid of calibration with standard samples. This includes volumes of samples, element cross sections, texture.
- Software exists but has to integrated and packaged.

- Wang-Wed

## Planning Summary

- Database needed for storing “model” data
- Tools to develop measurement strategies – maximize output
- Variety of codes to calculate eigenvector/eigenvalues via Shell model, Molecular Dynamics, and/or Monte Carlo

- Wang-Wed
# Presentation: 142697

## Requirements for automation have been established
Prototype has been field tested
Requirements for Operator Performance Models have been established
Future Work 
Configure and calibrate Operator Performance Models
automate salience assessment process to improve inter-rater reliability

**AUTOMATION-INTERFACE DESIGN TOOLS DEVELOPMENT: **
**Accelerating Space Exploration with Task Analysis Tools**
**Lance Sherry (Ph.D.), Maricel Medina (M.Sc.) Michael Feary (Ph.D.)**
***George Mason University & NASA – Ames Research Center***

**Context**

**Problem Statement**

**Research Approach**

**Prototype Task Analysis Tool**

**Results**

**Conclusions & Future Work**

- Mars & Lunar Space Exploration missions require significant increases in automation functionality to support autonomous operation
- Significant increase in Infrequent and Safety/time-critical tasks
- May not be trained recently
- Current methods cannot meet demand for HCI analysis
- Subject Testing – cost prohibitive, late in life-cycle
- Inspections, Walkthroughs – earlier in life-cycle, but poor inter-rater reliability

- Conduct foundational research to facilitate the development of “affordable” automation for the conduct of HCI across the contractor supply-chain
- Requirements for HCI automation:
-  Wide-spread distribution of affordable tool
-  Compatible with System/Software Development Process
-  Exhibit satisfactory inter-rater reliability

- _Domain_: MOD-ISS-ADCO
- _Task_: Modify ACR in UAF
- _Device_: Attitude Planning Utility (APU)
- _# Actions_: 11
- Exact Visual Cues – 5
- Partial Visual Cues – 4
- No Visual Cues/Memorization – 2
- Predicted Operator Performance:
- Trails-to-Mastery: 4
- Probability Failure-to-Complete: 0.53

- Requirements for automation have been established
- Prototype has been field tested
- Requirements for Operator Performance Models have been established
- Future Work
- Configure and calibrate Operator Performance Models
- automate salience assessment process to improve inter-rater reliability
# Presentation: 657992

## Slide 1

## Forces

- What is  a  Force?
-            *Push   or   Pull*
- What  does  it  do?
-            *Causes  Motion*
- How  do  we  describe  it?
*          **Size  (magnitude)  *
*          **Direction*

## What  are the  7  simple machines?

**Lever**
**Inclined Plane**
**        ****Wedge**
**        ****Screw**
**Wheel and Axle**
**        ****Gear**
**        ****Pulley**
**       **

## Why do we use simple  machines?

- To  make  life  easier!
- Simple  Machines  change  forces:
-           change the direction
-           change the size
-           change  both

## How  do  they  work?

- Conservation  of  Energy
-           Work  and  Energy  are  related
- Scientific  Definition  of  **Work**
-           Work  =  Force  x  Distance
-                distance in  direction  of  force

## Lever

## Incline  Plane

## Wedge

## Screw

## Wheel  and  Axle

## Gears

## Pulley

-                           **Change  Force  Direction**
**                         ****Same  Force  Size**

## Slide 13

## Slide 14

## Slide 15

## Slide 16

## Slide 17

## Slide 18

## Slide 19

## Slide 20

## Slide 21
# Presentation: 671120

## Population genetics of Puccinia triticina in North America

- Maria E. Ordoñez
- James A. Kolmer

- USDA-ARS-Cereal Disease Laboratory
- University of Minnesota
- St. Paul, MN

## P. triticina collections

- 89 isolates from U.S. 2004-2005
- 37 isolates from the U.S. 1980’s 1990’s
- 20 isolates from Canada mid 1990’s
- 5 isolates from durum wheat from Mexico 2003
- Total = 151

## Virulence phenotypes on 20 Thatcher near-isogenic lines
Molecular genotypes with 23 simple sequence repeat markers (SSR)

- Molecular genotypes with 23 simple sequence repeat markers (SSR)

- 89 virulence phenotypes

- 73 SSR genotypes

## Diversity of virulence and SSR genotypes

|  | B | L | FPND | 
P-17 | TM-17 |  | TKM | T’ | S | Durum |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| No. isolates | 4 | 2 | 21 | 7 | 22 | 61 |  | 3 | 4 | 2 |
| No. races | 1 | 2 | 16 | 7 | 11 | 44 |  | 3 | 3 | 2 |
| No. SSR 
genotype | 4 | 2 | 15 | 7 | 13 | 25 |  | 2 | 3 | 2 |
| Diversity index  I | 0.55 | 0.56 | 0.75 | 0.75 | 0.54 | 0.50 |  | 0.40 | 0.25 | 0.31 |

## NJ tree of clone corrected virulence phenotypes

- B

- FPN DL

- S

- P-17

- T’

- TK

- C

- M

- TM-
- 17

- Groups based on Vir/Avir to Lr1, Lr2a, Lr2c, Lr3, Lr3bg, Lr17 and Lr28

## NJ tree of clone corrected SSR genetic distances

- Durum

- FPND

- B

- P-17

- S

- L

- TKM

- T’

- TM-17

- 9 groups based on SSR and virulence to Lr1, Lr2a, Lr2c, Lr3, Lr3bg, Lr17 and Lr28

## Distribution of SSR allelic variation, diversity index, heterozygosity

- 				*F**ST*		*R**ST**	**	*
- Among pop.		21%		41%
- Within pop.		79%		59%
*I* = 0.7577
*Ho* = 0.6508
*He* = 0.4507

##     Unrooted NJ dendrogram based on pair-wise  FST values for SSR genotypes

- Significant difference (*p*<0.05)
- FPND   -  P-17
- TKM     -  TM-17
- T’         -  all
- S          -  all
- Durum  -  all

## Summary

- Several groups of *P. triticina* found in NA based on virulence phenotype and SSR genotype
- Difference in virulence and SSR genotypes suggest introduction or migration of a new race:
- TM-17 and other T, K, M
- T’  and other T races
- Similar virulence and SSR genotype suggest mutation and selection:
- T low on Lr14a and Lr20, and T high on Lr14a and Lr20
- T, M, K races
- P, F  races
- P-17 and other P races different groups
- Durum isolates genetically different from common wheat isolates

## Slide 10
# Presentation: 510290

## Orientation Guide

- Research and Development
- VAMC- Houston

## How To Send Big File Attachments

**Open Internet Explorer, go to the Baylor main web page**
**Under  *****Address, *****type:**** **_https://bigfile.bcm.tmc.edu/_

## How To Send Big File Attachments

**3.  Log on using your Baylor username and password****.**

- 3

## How To Send Big File Attachments

**4****. Click the “browse” button.**

## How To Send Big File Attachments

**5. Select the file then click the “Open” button**

## How To Send Big File Attachments

**6****. Click the “Upload” button****.**

## How To Send Big File Attachments

**7.  Copy and paste the link to an email message**

**7**
# Presentation: 515523

## Systems Architecture& Platform Strategies Breakout Group

**A summary of the discussions taking place**
**in the hardware working group of the CSET**
**workshop, July 20-22.**
**Co-Chairs: Remy Evard, Robert Eades**
**Participants:  Bill McCurdy, Rick Stevens, Steve Elbert, Don Austin, William Kirchoff, John Reynders, Sergiu Sanielevici, David Leith, Manjit Sahota, and others.**

## Basic Platform Strategy

**Two larger systems**
**Growing progressively larger over time.**
**The two systems have a different focus.**
**different memory ratios, for example.**
**One stable TF-class machine in first year.**
**Smaller experimental sites started in the early years.**
**Locate smaller, stable development machines at application sites.**
**Facilities cost are a large portion of the cost, generally unaddressed in this working group.**

## Basic Platform Strategy

**Notes:**
- 1. M/F larger ratio.
- 2. M/F smaller ratio.
- 3. Could combine the purchase strategy with the ASCI 30TF purchase.
- 4. Speculative hardware, hoping that it results in new directions 3 or 4 years out.
- 5. Commodity cluster machine/track.
- 6. Guaranteed, really-working, development machine.
- 7. We suggest that smaller, apps-focused machines exist at some apps sites, as part of the application strategies.  Perhaps 5-10% of the size of the target machine.

- Disclaimer:  Rows do not imply same site or linked upgrades.

## Platform Cost Analysis

- Total Cost, FY00-05+:  $658M
- This pricing is based on vendor bids that don’t reflect our assumptions about memory.

## Bytes/FLOPS ratio

**Application discussions so far have felt that .25:1 was an acceptable ratio.**
**Minimum size of aggregate memory:**
**1TB in FY2000**
**10TB in FY2003-4**
**We haven’t covered all the application groups; we expect this ratio may need to be higher for others.**

## Networking Discussion

**Our group was quite concerned about the cost of the networking and the expected benefits.**
**It was felt that a cost of $20M/yr would be acceptable for high performance networking costs.**
**See the distributed computing group for more.**

## Storage Discussion

**Need information fom the survey**
**There appears to be a large demand for local storage.**
**There was discussion and general support for a “data center” for SSP, which housed all major archives.**

## ASCI relationship

**Great deal of discussion, resulting in:**
**ASCI has created a unique opportunity context for us by accelerating the computing industry.  Do we draft or not?  Yes - meaning that we should profit from the lessons learned under ASCI, benefiting from the reduced risk and from the development of software. **
**But, we didn’t decide to buy exactly what ASCI does, or follow exactly in their footsteps.  This will, of course, be an open acquisition.**

## Apps Survey

**Underway, collecting feedback.**
**Expect it in email and on the web.**
**Due date: first cut, by Monday.**

## The End
# Presentation: 660652

## 2007 Expert Elicitation on Risk of Illness from Processed Meat and Poultry Products

**Matthew Michael**
**Office of Program Evaluation, **
**Enforcement & Review**

## Expert Elicitation

**“****Expert judgment is frequently needed to organize qualitative information or mixtures of qualitative and quantitative information into a framework for making decisions.”**
**	*****Eliciting and Analyzing Expert Judgment: A ******	******Practical Guide*****, Meyer and Booker (2001)**

## What the Expert Elicitation Provides for RBI: The Hazard Component 

**The expert elicitation provides a relative value for the risk of illness per serving of each category of processed meat and poultry product, i.e. the *****Hazard Component***** of Risk-Based Inspection (RBI).****  **

## Inherent Risk

**The *****Hazard Component*****, and possibly a factor representing production volume, provide an individual measure of *****Inherent Risk***** for all of the processed products produced at each official establishment**

## Inherent Risk

**Volume (?)**

**Hazard **
**Component**

**Inherent **
**Risk**

## Inherent Risk and Risk Control

**An RBI “score” for each official establishment is determined using the *****Inherent Risk***** value and a measure of *****Risk Control*****, i.e. a relative value representing how well an establishment controls food safety risks.**

## Inherent Risk and Risk Control

**Risk Control**

**Inherent Risk**

**RBI**

## Development of Expert Elicitation Instruments and Methods

**In developing RBI, FSIS has conducted three expert elicitations  --  in 2001, 2005 and 2007.**
**Experience from each elicitation has led to improvements in the elicitation design and methods.**
**There is significant agreement between the 2007 and 2005 elicitation results.  **

## Peer Review

**FSIS also had the 2007 expert elicitation instruments and instructions peer-reviewed under the OMB Information Quality Act Guidelines.**
**The reviewers’ comments and the Agency’s responses, including changes to the instruments, will be available publicly soon. **

## Stakeholder Comment

-    **The 2007 Expert Elicitation also incorporated changes suggested by stakeholders at the October 2006 Risk-Based Inspection Public Workshop and at subsequent public meetings, as well as changes suggested by the National Advisory Committee on Meat and Poultry Inspection. **

## Changes to the 2007 Instrument

**Specifically recruited experts in three categories: public health, academia and industry**
**Included a risk ranking for vulnerable consumers**
**Established an upper bound for rankings**
**Included an instrument that elicits attribution estimates**
**Collected “confidence ratings” for each expert estimate**
**Added thermally-processed, commercially sterile (typically canned) products**

## Future Use of the Expert Elicitation

**The elicitation results regarding healthy adults can be used in the RBI algorithm immediately **
**The Agency is studying the elicitation results regarding vulnerable consumers and attribution and welcomes comment on their use in RBI **
# Presentation: 531579

## CALIPSO validation planned for August - September 2005
Lear Jet – HSRL, LAABS, HySPAR
Additional aircraft – AATS-14 Sun photometer
CIRPAS Twin Otter or
Jetstream-31
Tentative location southeast U.S.; may be negotiable

Opportunity may exist for DOE ASP participation
Extend duration and/or number of flights to target DOE ASP objectives
Potential mission for other DOE ASP investigators (modeling, ground and/or airborne instrument teams)
Can serve as prelude for MIRAGE-Mex, Houston campaign

- CALIPSO validation planned for August - September 2005
- Lear Jet – HSRL, LAABS, HySPAR
- Additional aircraft – AATS-14 Sun photometer
- CIRPAS Twin Otter or
- Jetstream-31
- Tentative location southeast U.S.; may be negotiable
- Opportunity may exist for DOE ASP participation
- Extend duration and/or number of flights to target DOE ASP objectives
- Potential mission for other DOE ASP investigators (modeling, ground and/or airborne instrument teams)
- Can serve as prelude for MIRAGE-Mex, Houston campaign
# Presentation: 688618

## Measuring Public Understanding of Particle Physics and its Applications 

**The University of Chicago **
**Survey Lab**

**Fermilab **
**Office of Communication**

## Communication

- More critical than ever for particle physics.
- What is particle physics?
- Why does it matter to the nation?

## Fermilab’s special role

- As the nation’s only dedicated particle physics laboratory, Fermilab leads the communication effort for US particle physics.
- We collaborate closely with other labs around the world, with universities, with funding agencies.

##  Communication tools

- symmetry magazine, Fermilab Web site, Interactions.org, US LHC, Fermilab Today, brochures, press releases, community presentations, media interviews.....

## To make the tools more effective...

- 	We need data.
- 	Beyond anecdotes.

## We’d like to know...

- What do Americans know of particle physics?
- What do they think they know?
- How do they value the discovery of the physical nature
- of the universe? Its applications? Scientific leadership?

## P5 saw the need for systematic data. 

- “At this time there exist few quantitative analyses of the economic benefits of particle physics applications. A systematic professional study would have value for assessing and predicting the impact of particle physics technology applications on the nation’s economy.”

## Data are hard to get.

- Under the Paperwork Reduction Act, federal agencies cannot undertake or fund public surveys without prior approval from the Office of Management and Budget (a complicated process).

## Plan of action

- Collaboration of the Fermilab Office of Communication
- and the University of Chicago Survey Lab
- to carry out a comprehensive national opinion survey.

## Benefits

- A more informed communication strategy
- More effective communication
- More support for particle physics

## Results will benefit...

- Fermilab University of Chicagonational labs with basic science programsuniversities funding agencies (already expressed interest)HEPAP policy makersopinion leaders

## Benefits to the University

- 	Data will be useful to University science communicators
- 	Unique opportunity for cross-section of students – Harris School of Public Policy, Social Sciences graduate students and undergraduates
- “Real world” study – results have real implications
- Broadens the horizons of public policy students beyond social policy – a goal of the University
- 	Unifies divisions – Social Sciences, Public Policy and Physical Sciences – around a shared goal and project
- 	Puts the university at the forefront of an important policy issue

## The approach

- Five stages:
- Focus group research for questionnaire design
- Laboratory testing of survey instrument
- National pilot telephone survey
- Post-survey focus group discussions
- 5.	Summary analysis and planning

## The team

- Judy Jackson, Communication Director, Fermilab
- Martha Van Haitsma, Director, University of Chicago Survey Lab
- Colm O’Muircheartaigh, Professor of Public Policy, Harris School of Public Policy, University of Chicago

## Questions?

- Thanks for your consideration!
# Presentation: 692508

## Acceleration to 20 GeV in the Linac

- Steve Kahn
- Muons Inc Weekly Meeting
- Jan 20, 2006

- Acceleration to 20 GeV in Linac

- Jan 20, 2006

## Comments on Injecting into 1.3 GHz Linac and Accelerating to 20 GeV

- After the second REMEX we need to accelerate from 2.5 GeV to 20 GeV.
- Let us assume that we will use a Tesla-like linac structure for the acceleration.  Parameters shown in table.
- We will need 224 “Cryostats” worth of Linac to accelerate beam to 20 GeV.
- Obviously we will recirculate, but this require more than 3 times.

- Acceleration to 20 GeV in Linac

- Jan 20, 2006

## Use Tesla Cavity Technology

- Acceleration to 20 GeV in Linac

- Jan 20, 2006

## Icool Simulation Parameters

- The table shows the main parameters describing the muon beam in the Icool simulation.
- A 90° phase advance FODO lattice implies constant K1 for the quadrupoles.
- Since
- The quad gradient must increase with p.  We change the gradient in discrete sections.
- This probably is not possible to do

- Acceleration to 20 GeV in Linac

- Jan 20, 2006

## More Model Assumptions

- The RF cavities in a cryostat module are approximated by a 72 cell cavity, each of which is phased with the reference particle.  The cavity cells *cannot* be individually phased and the cavity length is longer than the cavity wavelength.  (Is it a traveling wave cavity?)
- Individual RF cells are assumed to be pillboxes.
- RF cavity iris radius is 3.4 cm.  Particles outside of that are lost.
- Muons more than 30 ns from reference particle are killed.
- Phase the RF cavities to run on crest (like an electron linac)

- Acceleration to 20 GeV in Linac

- Jan 20, 2006

## Energy vs. Longitudinal Position (sort of)

- Changed RF Frequency from 1.3 GHz to 1.35 GHz Here!

- Acceleration to 20 GeV in Linac

- Jan 20, 2006

## Time Deviation (wrt to reference particle)

- Acceleration to 20 GeV in Linac

- Jan 20, 2006

## Emittance Growth Along Linac

- Acceleration to 20 GeV in Linac

- Jan 20, 2006

## Transverse Phase Space Variables 

- Acceleration to 20 GeV in Linac

- Jan 20, 2006

## No we are not blowing up the beam transversely.  We are just creating a bit of halo.

- Acceleration to 20 GeV in Linac

- Jan 20, 2006

## Energy-Time Correlation

- Choose location ~3/4 along linac.  E17 GeV.
- The figures show energy vs. time at that location.
- I do not fully understand the plot yet.
- The particles in the top part of the plot lag the reference particle, ie behind the rf wave.

- Acceleration to 20 GeV in Linac

- Jan 20, 2006

## E vs time Correlation

- Can I affect the E vs. time correlation by changing the frequency of the last part of the linac.
- I think that I should be able to do this.
- Nominal frequency is 1.3 GHz
- Red is 1.35 GHz in last part
- Blue is 1.325 GHz in last part
- I don’t think that I observe a difference. (?)

- Acceleration to 20 GeV in Linac

- Jan 20, 2006
# Presentation: 033273

## Magnetism Breakout Session

- Robust participation:
- 25 attendees, 2 science talks, 4 contributed “short presentations”, more questions than time
- Desire to have follow on workshop, 2 day duration (?); scheduling not defined
- Science drivers:
- nanoscale magnetism (devices, chemically-synthesized nanoparticles)
- Dynamics on timescales from minutes / seconds down to ps and 100’s of fs (phase resolution)
- Evolution of “engineered” materials (controlled damping, MTJs, interfaces)
- Characterization of very thin (sub nm) layers / barriers & role of interfaces in nanoscale devices
- “Macrospin” molecular magnets; quantum tunneling
- Some systems (e.g Gd intermetallics) not suited to neutron measurements (Ames Lab)
- Will x-rays be competitive w/ neutrons for characterization of magnetic structures? (trade x-section for flux)
- collective modes of confined nanostructures & assemblies of magnetic nanoparticles
- Desired capabilities:
- element specific magnetometry
- soft x-ray & IR interested in dynamics (probably hard x-ray as well)
- Short bunches (< 20 ps and shorter) ideal; timing operations
- good bunch-to-bunch phase stability
- IR: large magnetic (10 T field & higher) for cyclotron resonance, FMR of insulating oxides
- IR needs high stability (should be much better than current VUV ring)
- Sub 100 nm spatial resolution (STXM, full field TXM, PEEM)
- Detailed characterization of magnetic & crystal structures of nanoparticles (XRD, EXAFS, etc.)
- In-situ interrogation of nanoparticle growth & assembly / direct study of nanoparticle oxidation
- Lab-based characterization
# Presentation: 247959

## Carbon Fiber Flywheel for

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

- Marshall Space Flight Center
- Lewis Research Center

**Carbon Fiber Flywheel for**
**Power Generation and Attitude Control**

***SATCON TECHNOLOGY CORP.***
***CAMBRIDGE, MA***

**     ****GOVERNMENT/SCIENCE APPLICATIONS**
** **Flywheel is aimed toward a combined energy storage and 	attitude control system which can be used on ISSA as well 	as all types of NASA, commercial, and military spacecraft 	ranging from low power communication or observing 	spacecraft to orbital platforms
-  Satcon is committed to developing flywheel products for 	automotive, industrial, utility and aerospace applications

***SatCon Flywheel Energy Storage System***
# Presentation: 732442

## 金融教育

- 报告人:张健华
- 2008年05月

## 一、金融体系的发展

**(一)金融体系的发展**
- 以商业金融为主体,银行业、证券业、保险业齐全,多种金融机构分工竞争的金融组织体系;
- 证券期货市场、银行间同业拆借市场、货币市场等日趋完善;
- 金融市场参与主体日益多元化,金融产品和金融工具的逐步多样化。

## 一、金融体系的发展

-   与发达金融市场相比,
- 我国的金融市场还是存在市场发展不均衡,产品匮乏、简单化;
- 间接融资比例过高,间接融资中银行融资占绝对主导地位;
- 资本市场“新兴加转轨”的特征突出。

## 一、金融体系的发展

**居民财富增加,居民持有的金融资产多元化。**
-     2008年2月,人均存款14097元,是1979年末的489倍。截止2007年10月底,沪深两市投资者开户数达1.36亿户,个人投资者持股市值占48%,基金持股市值占A股流通市值的30%左右,而个人投资者占到基金市场的98%。
- 居民、中小企业资金需求日益增加,对金融服务、金融工具等提出了更高的要求。

## 一、金融体系的发展

- 对商业金融机构从业人员的业务能力等方面提出了新的需求;
- 日益复杂的金融体系对政府部门监督、管理、参与金融体系高效运转、维持金融体系稳定的能力提出了更高的要求。

## 二、金融教育的必要性

-  投资者教育(国际证监会组织定义);
-  金融教育的内容更广;
- 金融教育的对象:居民等中小投资者和金融服务需求者,金融机构从业者,金融体系的监督管理者。

## 二、金融教育的必要性

- 社会公众的金融基础知识和技能相对薄弱,风险意识、法律意识、信用意识等都有待加强;
- 金融教育是金融服务消费者和投资者保护的基础;
- 高素质的金融服务消费者、投资者和金融从业人员群体有助于提升金融体系的效率。 。

## 三、金融教育的开展情况

- 人民银行致力于提高全民金融素质:普及金融知识,举办纯公益性金融知识展览,编写的大众化金融知识普及读物《金融知识国民读本》;
- 中国银监会:利用“公众教育服务网”和“公众教育服务区”两个平台将基础金融知识、风险提示和银行业信息面向公众进行广泛宣介; 。

## 三、金融教育的开展情况

- 证券监管机构、证券交易所、证券中介机构、新闻媒体及出版业等成为中国证券市场投资者教育的主体。

## 四、金融教育需要改进之处 

- 从金融教育具有的公共产品性、专业权威性、中立性和客观性方面看,金融教育应以公共财政资金为基础,政府部门为承担金融教育的主体,以专业性团体具体执行和实施;

## 四、金融教育需要改进之处 

- 缺乏一个完善的金融教育体系和框架,这些需要人民银行、中国银监会、证监会、保监会等政府部门进一步的分工协作;
- 金融教育巨大的社会利益不能直接体现出来,属于义务教育,其需要人力、经费的长期投入。

## 四、金融教育需要改进之处 

- 2001年3月,国际证监会组织的技术委员会为投资者教育工作设定了六个基本原则;
-     可借鉴这些基本原则,以政府部门为主体,立足于我国金融体系,结合金融体系的不同层次的金融服务消费者、投资者和金融从业人员的特点,以提高金融业参与者的金融素质为目标,进一步完善我国金融教育工作。

-                            谢谢
# Presentation: 400353

## Microfluidic Mixing

**Microfluidic Mixing**

- David Ross, Physicist
- NIST
- Gaithersburg, MD

## No turbulence in microfluidics, so little or no mixing
A new method for mixing in microfluidic systems
Highly efficient mixing, even at very high flow rates.

- A new method for mixing in microfluidic systems
- Highly efficient mixing, even at very high flow rates.

**Technology Summary**

**Notes:**
Small geometries, low Reynolds number, no turbulent mixing

## Microfluidic Mixing

**Notes:**
Microfluidic chip, two input streams one output – needs to be mixed

## Microfluidic Mixing

**Notes:**
Common solution: make output stream long and wait for mixing
	not always acceptable

## Microfluidic Mixing

- Slanted wells redirect flow and cause fluids to fold over each other like kneading bread.

**Notes:**
Our solution: a series of slanted wells cut into the bottom of he channel to redirect flow across the channel, folding and kneading the fluid stream

## Rapid microfluidic mixing

**Rapid microfluidic mixing**

- 440 μm

**Notes:**
Series of images of mixer at various flow rates: very good mixing even at high flow rates

## Rapid microfluidic mixing

**Rapid microfluidic mixing**

- 440 μm

**Notes:**
Series of images of mixer at various flow rates: very good mixing even at high flow rates

## Rapid microfluidic mixing

**Rapid microfluidic mixing**

- 440 μm

**Notes:**
Series of images of mixer at various flow rates: very good mixing even at high flow rates

## Rapid microfluidic mixing

**Rapid microfluidic mixing**

- 440 μm

**Notes:**
Series of images of mixer at various flow rates: very good mixing even at high flow rates

## Intellectual property: 
One issued patent on method (U.S. 6,907,895)
One non-provisional application on device (20050207274)
Ready for licensing
Competitors / substitutes
Many different microfluidic mixers described
Complex branch-recombine structures
Long, slow serpentine
Complex multilayer geometries
Most only effective at low flow rates

- One issued patent on method (U.S. 6,907,895)
- One non-provisional application on device (20050207274)
- Ready for licensing
- Competitors / substitutes
- Many different microfluidic mixers described
- Complex branch-recombine structures
- Long, slow serpentine
- Complex multilayer geometries
- Most only effective at low flow rates

**Current Status**

## Contact

- For more information:
- David Ross
- National Institute of Standards and Technology
- 301-975-2525
- david.ross@nist.gov
- Laurie Locascio
- National Institute of Standards and Technology
- 301-975-3130
- laurie.locascio@nist.gov

**Notes:**
Instructions on whom to contact.
# Presentation: 768914

## Scientific Linux Experience at RHIC Computing Facility

- Christopher Hollowell
- Physics Department
- Brookhaven National Laboratory
*hollowec@bnl.gov*

## Red Hat Linux End Of Life Options

- Red Hat Enterprise Linux
- Not cost effective when installed on a ~2800 CPU farm
- Debian, SuSE, Mandrake
- Require change in automatic installation mechanism
- Support for third party applications (PGI Compilers, TotalView, etc.) questionable
- Fedora Core
- Short support periods (~1.5 years including Fedora Legacy support)
- Third party application support concerns
- Uncertainty over stability

## Red Hat Linux End Of Life Options (Cont.)

- Scientific Linux
- In use at several HEP/NP sites
- No cost
- Requires few changes to RCF's current installation/custom package management model
- Built from RHEL3 sources --> compatibility with Enterprise  --> few third party application support concerns

## Scientific Linux Usage at RCF

- Upgrade of CAS/CRS farm to SL 3.0.2 (+updates) in progress
- Some bugs encountered which are also present in RHEL3
- ACL issue when mounting VxFS filesystems via NFS from servers running Solaris 8/9: RH Bugzilla Bug #106584.  Built a custom mount package to resolve this issue
- Symbolic links created on ext3 filesystems at installation time (under BOOT kernel) have their mode bits set to 755: RH Bugzilla Bug #116317, seemingly benign

## Scientific Linux Usage at RCF (Cont.)

- Problems debugging processes which often call fork() or system() with gdb (6.1post-1.20040607.17rh)

- Try debugging:
- #include <stdio.h>
- int main()
- {
- 		printf(“gdb test\n”);
- 		while(1)
- 		{
- 			if(!fork())
- 				exit(1);
- 			sleep(1);
- 		}
- }

- You'll receive several “Detaching after fork from child process” messages, and gdb will become suspended shortly thereafter (seemingly via SIGTTOU).  After placing gdb in the foreground, you'll repeatedly get the gdb pager prompt.
- Workaround: 'set height 0'

## Scientific Linux Usage at RCF (Cont.)

- Successfully tested several proprietary packages:
- PGI Workstation 5.1-6
- TotalView 6.5.0
- LSF 5.1
- Condor 6.6.6
- Intel C/C++ and Fortran Compiler suites v8.0
- Haven't tried customization with the sites feature: manually integrating updates/custom packages into tree (as we have done in the past) for now
- Build environment in place which allows us to build SRPM updates directly from Red Hat if necessary
- Overall impression: quality distribution
# Presentation: 920185

## Methods for Large-scale Comparative Risk Analyses

** ****Comparative analyses**
** ****More detailed ESU analyses**

## Method for Comparative Risk Analyses

- Use only time series of spawner counts (or index counts)
- Robust to high levels of sampling error
- Accounts for hatchery fish in counts
- Accounts / tests for trends
- Accounts / tests for density-dependence

## Overview of the Dennis Model

## Underlying Model

- where  is lognormal process error

- See Dennis et al 1991

## Foundations of the Dennis Model

- Population Counts
- Nt+1  comes from Nt
- mean(ln(Nt+/Nt)) increases linearly with lag,

- Var(ln(Nt+/Nt)) increases linearly with lag, 

## Need Population Counts: 	Nt+1 comes from Nt

- Spawner counts violate this assumption
- Won’t work as a surrogate for population count

- Estimate of 2
- Using spawner counts: 10000% too high
- Estimate of 
- Using spawner counts: 100% too low

## Getting around this problem:

**Getting around this problem:**

**Need a count for which N_t+1 comes from N_t: Living current and future spawners**

**1981**

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- S80***SS****80**

- S81***SS****81**

- S82***SS****82**

- S83***SS****83**

- S84***SS****84**

**OCEAN**

**DEAD**

**STREAM**

## Estimated Living Current and Future Spawners

- True value

- Estimated value

- These are the numbers
-  you see in the running
- sum figures.

## Estimating 

## Estimating 

## How good is the parameter estimation with the running sum counts?

- Mean percent under-estimation of 
- Spawner:
- 50% (robust to sampling error)
- Running sum counts:
- 0% (robust to sampling error)
- Mean percent over-estimation of 2
- Spawner:
- 3,000% (increases with severe sampling error)
- Running sum counts:
- 50% (increases with severe sampling error)
# Presentation: 280363

## NCI Office of Diversity and Employment Programs (ODEP)

- Diversity ... the competitive advantage.

## ODEP SERVICES

**Diversity Programs **
**Targeted Recruitment**
**Quality of Work Life Programs**
**Equal Employment Opportunity Programs (EEO)**

- Diversity ... the competitive advantage.

## Diversity Programs

**Promote inclusion in recruitment, promotions, training, etc. **
**Mainstream individuals with disabilities **
**Network with minority and mainstream sources for highly qualified candidates**
**Create outreach initiatives to produce a diverse pool of candidates for employment, fellowship and internship opportunities**

- Diversity ... the competitive advantage.

## Targeted Recruitment Programs

**Outreach to colleges and universities**
**Participation in professional and society meetings**
**Recruitment at job and career fairs **
**Manage automated on-line resume referral system**** **

- Diversity ... the competitive advantage.

## Quality of Work Life Programs

**Alternative Work Site Program (AWSP)**
**Voluntary Leave Transfer Program (VLTP)**
**Special Observances**
**Supports the NIH Work and Family Life Center**
**Supports the Recreation & Welfare Association**

- Diversity ... the competitive advantage.

## EEO Programs

**Manage the Institute's Affirmative Action Program (AAP)**
**Process EEO Complaints of Discrimination**
**Maintain a highly trained cadre of EEO Counselors**

- Diversity ... the competitive advantage.

## NCI Office of Diversity and Employment Programs (ODEP)

- 6116 Executive Blvd.
- Room 502 MSC 8342
- Bethesda, MD  20892-8342
- (301) 435-8524
**http://camp.nci.nih.gov/admin/odep/**

- Diversity ... the competitive advantage.
# Presentation: 892611

## SENSE-DTI: FA of Corpus Callosum

**Figure 1**. FA maps of corpus callosum of 3 female volunteers of different age 35y, 51y and 57y  from FKS, A2 and A4.

- 35 y

- 51 y

- 57 y

- FKS           A2               A4

## SENSE-DTI: FA from FKS and SENSE

**Figure 3.** FA of genu plotted against age for FKS, A2 and A4.

## SENSE-3DEPSI: Spectra

- FKS
- SENSE

**Figure 1**. 1H spectrum from SENSE (A=2)  and full *k*-space sampled EPSI.

## SENSE-3DEPSI: SI

**NAA              Cr               Cho**

**Figure 2**. Metabolite images from SENSE (A = 2) and full *k*-space sampled EPSI.

**SENSE**
**FKS**
# Presentation: 524076

## Access Grid Authorization

- Thomas Uram
- _[turam@mcs.anl.gov](mailto:turam@mcs.anl.gov)_
- Argonne National Laboratory

## Agenda

- Authorization Landscape
- Role-based Authorization
- AuthorizationManager API
- Examples and exercises

## Landscape

- PKI
- Every user has a unique certificate
- Web Services
- Web-accessible components of the AG software are exposed via SOAP over GSI
- GSI connections are authenticated using certificates
- User’s identity subject to verification by server
- Server’s identity subject to verification by user
- Methods are distinguished by their callability
- Administrator methods
- Venue configuration
- User methods
- Venue entry

## Landscape

- Multicast

## Role-based Authorization

- Abstraction layer between objects and persons who will access them
- Similar to *nix file system concept
- Each object has a list of actions that can be performed on it (rwx)
- Each action has a list of groups which are allowed to call it
- Each group has a list of members (/etc/group)

## Roles

- Roles are user groups
- Required roles
- Administrator
- User
- Custom roles
- Venue.AllowedEntry
- Venue.RegisteredUsers

## Actions

- Actions define operations on web services
- In *nix file system analog, read/write/execute are Actions
- Actions currently map one-to-one to web service methods
- VenueServer.GetVenues
- Venue.GetStreams

## Subjects

- Subject class holds information about a user (in particular, the user’s distinguished name)

## Policies

- An authorization policy describes the role/action/subject relationships in force for a service
- The policy for a service is represented in XML
- The policy can be modified wholesale, or through individual calls
- Services define default policies

## Authorization UI

- VenueServer

## Authorization UI

- Venue

## AuthorizationManager

- AccessGrid.Security.AuthorizationManager
- Exposes interfaces for modifying the authorization policy for a service
- Used in authorization callback registered with SOAP server

## AuthorizationManager API

## Future work

- Finer-grained authorization
- Apply to objects in Venue
- Permit authorization of individuals, not just groups
- Consider integrating a well-established authorization framework

## Example: List defined Roles

- #!/usr/bin/python2
- import sys
- from AccessGrid.Toolkit import CmdlineApplication
- from AccessGrid.Venue import VenueIW
- from AccessGrid.Security.AuthorizationManager import AuthorizationManagerIW
- url = sys.argv[1]
- # Create and initialize application
- app = CmdlineApplication()
- app.Initialize('ListRoles')
- # Get url for authorization manager and create interface wrapper
- v = VenueIW(url)
- amurl = v.GetAuthorizationManager()
- authManager = AuthorizationManagerIW(amurl)
- # Get roles from venue and process
- roleList = authManager.ListRoles()
- for role in roleList:
-     print role.name

## Exercise: List subjects in Roles

## Example: Venue ACL manager
# Presentation: 721672

## Agreements Information Management System (AIMS) Webcast Training

**Extramural Agreements Division**
**Administrative and Financial Management**** **

**April  2006**

## Training Objectives:

- Add New Agreements
- Discuss the data entry requirements for all agreement types
- Add the SOW/Proposal and Budget
- Print Agreements
- View Work Status
- The AIMS Help Desk

## Before entering an agreement into AIMS ....

- You _must_ have an approved project in ARIS.
- Outgoing agreements .... **AD 416/417, 550a**
- Incoming <25k or services only .... **ARS 425 **
- Incoming >25k .... **AD 416/417 and ARS 425  **
- You _must_ have an agreement number.
- Contact the ADO authorized to sign the agreement.
- For the StCA, contact the Area Agreements Specialist.

## AIMS Customer Support

**Email your requests for assistance to:**
**ARS-AIMSHELP@ARS.USDA.GOV**
# Presentation: 507884

## How Much Weather Data Is Enough For Commercial Industry?

- NWS Partners Meeting,18 June 2008

## Data Storm

- Commercial Industry says: Give us the data
-  Be careful what we wish for
- Every 20 to 30 years, high tech sensors (e.g., satellite and radar) and models increase data density by two orders of magnitude
- Two new major systems GOES-R and NEXRAD-R (MPAR or CASA) to greatly stress IT infrastructure within a decade
-  Cost of data storage and communications does not decrease commensurately per byte when new weather systems increase information
-  Machine processing capacity has to increase in order to convert raw information into useful information via algorithms since humans cannot process the raw data quickly enough
-  Industry and government agencies cannot afford to backhaul all raw data for processing

## Weather Radar System Data Growth

## The Right Data & Information Strategy

- What will work for government and industry from cost and information standpoint
-  Push all data to industry and government agencies on demand (National Data Center)
- Push all data for industry and government agencies to “staging locations” so that information is available to process (e.g., Regional Data Centers)
-  Push all data to one national location and process to data subset (lower resolution) available to industry and government agencies
-  Expose all data via web services for collection at national or regional based on rules for industry and government agencies in order to control bandwidth consumption (not all data is needed all the time)
-  Expose some data (lower resolution) via web services

## Working on Solutions

-  Roles for Commercial Industry and NOAA
- Commercial industry to define its needs with knowledge of what is being developed and input information to NOAA
- Understand the costs for data accessibility from government standpoint as well as its own standpoint
- Contribute ideas to architecture and standards to be used
-  NOAA to keep weather enterprise well informed of developing infrastructure plans for future weather systems
- Provide clearinghouse of information (Private/Public Partnership web page) on weather system development with respect to weather data type and sizing information
- Provide methods and standards being considered for transport of data (dissemination) and allow industry comment
- Provide IT and data architecture planning information to industry and allow industry comment
# Presentation: 509581

## III.  Geovisualization Tools Development

**III.  Geovisualization Tools Development**

- Proportion of residents with no health insurance
- CDC Behavioral Risk Factor Surveillance System

**IV.  Communication of georeferenced statistics**

- Combining statistical clustering algorithms with new visualization tools

- Weighted Nonparametric Smoothing (Headbanging)

- Data: *Pickle & Su, American Journal of Preventive Medicine, 2002*
- Headbanging: *Mungiole et al.,Statistics in Medicine, 1999*

**Carr, Wallin, and Carr, Statistics in Medicine 2000 *

**Usability Testing**

**Review**
**Prototype**

**Focus Groups**

**LMPlot Prototype for Web**

**Design & Evolve**

**Test **
**Prototype**

**Integrate & Deploy**

**Quick Reports**

**Trend Comparisons**

- A.  State Cancer Profiles (*statecancerprofiles.cancer.gov*)

**• ****Goal**: Focus cancer control efforts on places and persons who can most benefit.
**• ****Audience**:  Health planners, policy makers, and advocates.
**• ****Approach**:  Use interactive data visualization tools to explore the U.S. cancer burden.

**Example:  Linked Micromap Plots (LMPlots) go from Paper to the Web**

- Original data

- Smoothed data

- Conditioned choropleth maps*
-  Decomposes a single choropleth map into strata
-   according to 1 or 2 other factors
-  Interactive tool – users control classifications of
-   mapped variable (red/gray/blue) & stratifiers by sliders

- % current smokers

- % below poverty level

- Lung cancer mortality rate, white males

- Linked micromap plot*
-  Color links statistical graphs & maps
-  Micromaps show spatial patterns
-  Supports different glyphs & sorting

- Tools implemented as ArcGIS Extensions
-  Headbang smoothing
-  Color choices (ColorBrewer.org)
-  Utility to format SEER*Stat data for mapping
-  SaTScan clustering

- Interactive maps

- Exploratory Spatio-Temporal Analysis Tool (ESTAT)
-  Time trend plots of cancer rates
-  Parallel coordinate plot of risk factors, confounders
-  Scatter plots, maps
-  Statistical summaries
-  Supports linking, brushing, variable & option selection

*Alan MacEachren, Penn State University (*_*www.geovista.psu.edu)*_