BEE-spoke-data/govdocs1-by-extension huggingface dataset:
# Presentation: 741231

## Training of Coordinators    

**Training of Coordinators    **

**7-1**

## Identify the next steps the Coordinator will take in his or hercommunity to support the Communities That Care process.

- Identify the next steps the Coordinator will take in his or hercommunity to support the *Communities That Care* process.

**Training of Coordinators    **

**7-2**

## Participants will be able to:
Begin supporting a community in the Communities That Care process.

- Participants will be able to:
- Begin supporting a community in the *Communities That **Care* process.

**Training of Coordinators    **

**7-3**

## Training of Coordinators    

**Training of Coordinators    **

**7-4**

## The Coordinator will need to determine:
where the community is in the process and what actions have already been taken
what work needs to be done in order for him or her to catch up to where the community is in the process.

- The Coordinator will need to determine:
- where the community is in the process and what actions have already been taken
- what work needs to be done in order for him or her to catch up to where the community is in the process.

**Training of Coordinators    **

**7-5**

## Turn to the Coordinator Preparation Worksheet.
Answer as many questions as possible.
Save the worksheet for future use.

- Turn to the Coordinator Preparation Worksheet.
- Answer as many questions as possible.
- Save the worksheet for future use.

**Training of Coordinators    **

**7-6**

## 	Check off the milestones and benchmarks the community has met.

- 	Check off the milestones and benchmarks the community has met.

**Training of Coordinators    **

**7-7**

## Include dates for:
•	the next training event that is scheduled for the community
upcoming conferences and community events
other key CommunityBoard activities.

- Include dates for:
- •	the next training event that is scheduled for the community
- upcoming conferences and community events
- other key CommunityBoard activities.

**Training of Coordinators    **

**7-8**

## Training of Coordinators    

**Training of Coordinators    **

**7-9**
# Presentation: 699534

## Slide 1

## Slide 2

## Table 3.  Actual Obligations, NIH Biomedical Nutrition Research and Training, 

**Table 3.  Actual Obligations, NIH Biomedical Nutrition Research and Training, **
** ****in Current and Constant Dollars, and as a Percentage of Total NIH Obligations **
**FY 1995-2004 (in thousands of dollars)**

- 	  Nutrition Research 	  Nutrition Research	 	  Current Nutrition Dollars
- Fiscal 	   and Training,	   and Training,	  Total NIH	   as a Percentage of Total
- Year	   Current Dollars*	    Constant Dollars**	   Obligations+	  NIH Obligations

| 1995 | 428,687 | 428,687 | 10,901,647 | 3.9 |
| --- | --- | --- | --- | --- |
| 1996 | 438,813 | 431,141 | 11,471,293 | 3.8 |
| 1997 | 453,306 | 434,448 | 11,979,278 | 3.8 |
| 1998 | 494,443 | 466,568 | 12,777,283 | 3.9 |
| 1999 | 553,519 | 507,864 | 14,710,791 | 3.8 |
| 2000 | 694,909 | 615,371 | 16,843,082 | 4.1 |
| 2001 | 789,269 | 674,625 | 20,068,232 | 3.9 |
| 2002 | 916,964 | 760,823 | 22,294,111 | 4.1 |
| 2003 | 1,035,343 | 825,954 | 26,134,505 | 4.0 |
| 2004 | 1,033,304 | 796,797 | 27,486,371 | 3.8 |

- * Actual obligations. Source: Human Nutrition Research and Information Management (HNRIM) System.
- **Based on biomedical R&D price index, FY 1995 = 100 percent.
- +Total excludes obligations for National Library of Medicine and Buildings and Facilities.
- DNRC  September 1, 2005

## Slide 4

## Slide 5

## Slide 6
# Presentation: 002435

- Preparing For a Classroom VisitMany Great Lakes researchers are also competent professors who deal with undergraduate and graduate students on a daily basis, but they may be ill prepared or uncomfortable when it comes to facing a classroom full of middle or high school students.  This presentation will provide techniques and suggestions for scientists who are invited into classrooms, so their visit can be worthwhile and enjoyable for the students and researcher as well.  A visit to a local classroom can be a challenge for a researcher, but it can be a memorable experience for young students who may not have had the chance to interact with a working scientist.  Classroom visits can also help researchers hone their skills of sharing technical information with non-technical audiences.  Interactions with younger students can spark a real interest in learning more about scientific fields.  The session will provide tips to reduce anxiety and better prepare researchers for a visit with younger, energetic students.

## Your Role in the Classroom

- Presenter
- Resource
- Mentor
- Judge/Reviewer - Be a science fair judge or consultant.

## Trash or Treasure?

**Provide Supplies - **One person's trash is another person's treasure.  Reuse and recycle materials and supplies by sharing them with schools.
- Outdated lab supplies and old equipment are still usable by teachers and students for demonstrations and projects.

- So, you have been invited to present at a local school’s career day, but you do not know what to expect.  This presentation will help prepare researchers for the questions and comments that students may have in store.  Learn how to plan your presentation and provide an exciting talk that will make students want to follow in your footsteps and become involved in a career in science.  Sharing the highlights of your career as well as the pitfalls of your work will help provide students a realistic look at the work involved in Great Lakes research.  The presentation will provide suggestions and techniques to provide an informative and stimulating look at your field of science.

## Getting Your Message Across

## K.I.S.S. Approach

- Keep it Simple Scientist

## Use Photos and Illustrations

## Experiential Education

## Expect “The” Career Questions

## Junk the Jargon

## Analogies and Mataphores

## Tell a Science Tale

## Equations = Trouble

## Stress the Why.. Not the What.. 

## After Your Visit...
# Presentation: 690602

## “Prescriptive Vs. Performance Compliance Methods” 

**2005 National Workshop on State Building Energy Codes**
**June 28, 2005**
**Steve Baden**
**Executive Director**
**RESNET**
**www.natresnet.org**

## Prescriptive Vs. Performance Compliance Methods

**Not Either – Or  Question, Rather**
**What Makes Most Economic Sense for Builder In the Realities of the Market Place**
**Need for Both Options**

## Prescriptive Method 

**+****	****Easy For Builder/Code Official to****	****Understand (“Joe Friday” Method)**
**-****	****Least Flexible and Many Times Least ****	****Cost-Effective to Build To (One Size ****	****Does Not Fit All)**

## Performance Method 

**-****	****Requires Computer Program and ****	****Individual Home Analysis by Individual ****	****Based in House as System Building Science**
**+****	****Recognizes and Rewards Innovation**
**+****	****Gives Builder Greatest Flexibility to ****	****Incorporate Most Cost Effective ****	****Features That Makes Most Sense in the ****	****Local Housing Market**** **
**+****	****Construction Savings More Than Makes ****	****Up for Cost of Verification**

## Performance Method

**	****Where Viable Option Builders Will Choose Performance**
**2004 ENERGY STAR Homes Verification (131,763 Homes)**
**93% Performance Based (HERS)**
** ****7% Prescriptive Based****	**
**Source:   Environmental Protection Agency**

## Performance Method – Not So Different In Reality

**How Works in Field**
**Rater Conducts Performance Based Review (HERS) of Planed Home**
**Builder Decides Target Level of Energy Efficiency Wanting to Achieve (Rating Score)**
**Rater Develops Customized Prescriptive Package for Builder That Most Cost-Effectively Meets Energy Goal With Features Builder Wants**

## Performance Method 

**Will Now Become More Attractive To Builders**
**Alignment Between (HERS) and Chapter 4 of the IEEC 2004 Supplement**
**Dynamic Growth in ENERGY STAR Homes and Home Energy Ratings**
**Ratings Most Practical Tool for Performance Compliance Documentation (Accredited Rating Programs in 50 States)**
**Potential Federal Tax Credit for Energy Efficient Homes That is Performance Base and Based Upon the IECC**

## Stars Are Aligned

**	****With Adoption of DOE RICC Proposal and Changes to HERS Reference Homes – Following Are Aligned**
**IECC (Chapter 4 - 2004 Supplement)**
**ENERGY STAR Homes Program**
**Home Energy Ratings**
**Building America Program**
**Proposed Federal Tax Credits**

## For More Information ...

**RESNET’s Web Site on Energy Codes **_**www.natresnet.org/codes**_
**Tomorrow Session on Changes to Ratings & ENERGY STAR Homes Program**
**“****Collaboration with Other Programs HERS & ENERGY STAR” **
# Presentation: 599039

## LIMS Consortium

- April 28, 2008
- - Sashi Thangaraj

## Agenda

- UI Technology Evaluation
- JavaServer Faces JSF
- Portal Technology
- Portlets and JSR 168
- Portlet Container (Pluto)
- Portlet Bridge
- Portlet platform Jetspeed 2
- caGrid and LIMS
- What is a caGrid?
- Main Modules in caGrid
-                 Compatible guidelines.                 Vocabulary                 Infrastructure                 Security
- Federating Data and analytical services
- How does caGrid work?
- Tools used to simplify the effort.

## UI Use Case

- caLIMS2 UI use cases
- Component based UI development as rest of the information is designed using caBIG principles.
- Reusable UI components
- UI development with the direct input from domain experts.
- UI objects built on top of service Oriented architecture around Domain/Data Objects.
- Rich Internet Application w/ Java.

## UI Use Case                                      contd....

- Easy to develop/customize and modify UI objects/components.
- UI objects not being tied to Request/Response instead need to be mapped to the Business Logic.
- Pure MVC architecture.
- Efficient Form Creation & Validation.

## UI Technologies

- A Standards based and dynamic technology selection.
- JavaServer Faces JSR based.
- OpenSource Tool Support (Eclipse).
- Buy or Build? – Portal.
- JSR 168 – Portlet technology stack.

## Portlets form a flexible Portal

## Opensource Portlet Platform

- Portlet Container- Pluto.
- Portlet Bridge for Web Framework – JSF/Struts/PHP
- Reference Implementations by Apache
- Jetspeed 2.x

## Jetspeed features.

- Standardized
- Portal Engine Features
- Customization Features
- Security
- Distributed Cluster Support
- Foundation Component Architecture
- Portal Core Features
- Administrative Portlets
- Web Framework Support and Sample Portlets
- Data Migration Features
- Portal Design Features
- Development Tools
- Application Servers Supported ......

## Part 2 – What is caGrid?

**The cancer Biomedical Informatics Grid, or caBIGTM, is a voluntary virtual informatics infrastructure that connects data, research tools, scientists, and organizations to leverage their combined strengths and expertise in an open federated environment with widely accepted standards and shared tools...(cagrid.org)**

## How does it work

- Compatible guidelines.
- Common Vocabulary.
- Infrastructure.
- Security.

## Q&A
# Presentation: 193973

## Digital long term storage  
Infractructure 
in the Digital repository 

Hilde Høgås

- Infractructure
- in the Digital repository
- Hilde Høgås

## Digital collections at NLN

- A broad range of digital objects
- Journals
- Manuscripts
- Poster
- Maps
- Photos
- Sound recordings
- Film recordings
- Both digitised and born-digital objects

- Mavis user konference in Washington

## Our objectives

- To establish an infrastructure that assures
- low risk for physical damage on computers
- both preservation of and access to digital objects

- The technical systems encapsulating the long term storage vault, must be stable and safe, in order to ensure a very high stability on the service

- Mavis user konference in Washington

## The Digital Repository

- Enable change of technology without affecting the applications
- Change the disk system
- Change the tape robot
- Change the storage area network
- Change the servers

- A generalised input/output service
- for all **storing** of digital object
- for all **access** to digital object

- Mavis user konference in Washington

## Architectural choices

- Hide storage technology from the applications
- Identify every object with a URN
- Metadata for retrieval and preservation
- Formats suitable for long term preservation
- Handle objects regardless of type or content

- Mavis user konference in Washington

## The Digital Object - a basic concept

** **Content
-  one or more formats
-  Metadata
-  unique identification (URN)
-  access masks
-  content description
-  preservation metadata
-  relation to other objects

- Mavis user konference in Washington

## Preservation Metadata I

- Representation Information
- Data object description
- File format and size...
- Environment description
- Hardware, software..

- Mavis user konference in Washington

## Preservation Metadata II

- Preservation Description Information
- Reference information
- Descriptive metadata, identifier...
- Context information
- Relations...
- Provenance Information
- Origin, rights, copy history
- Authentication
- MD5...

- Mavis user konference in Washington

## Preservation Metadata

- Core metadata in XML-files in the repository
- Additional metadata in Mavis?
- Or in a new preservation metadata system?
- And in XML-files in the Repository?

- Mavis user konference in Washington

## Architecture

- Producer

- The Digital Repository

- Mavis user konference in Washington

## Implementation details

- SOAP communication protocol via HTTP
- Software in Java, based on the  SOAP-Library Apache Axis
- Linux-server
- Tomcat application server
- Oracle database
- Storage area network(100 TB + 50 TB)

- Mavis user konference in Washington

## Progress

| Design / implementation: | Finished |
| --- | --- |
| Testing: | Ongoing (November) |
| Production Line (Mavis Photo): | Ongoing (December) |
| Version 1.0 finished: | End of December |
| Next step - Version 2: | Next year |

- Project leader: Frode.Falstad@nb.no

- Mavis user konference in Washington
# Presentation: 910110

## Thoughts About the Future Are Usually Wrong, But Can Contain Some Elements of the Truth 

***Thoughts About the Future Are Usually Wrong, But Can Contain Some Elements of the Truth ***

**On the occasion of the 1893 World Columbian Exposition, 74 experts wrote essays predicting what the United States would look like in 1993 **
**Most were wrong**
**But some were strangely close to the truth**

**Notes:**
Key insights from Scenario planning.

Today Then stories

Wrong – doctor only for poor

Right (in funny ways)
pneumatic tubes for info economy
US: music capital of the world
# Presentation: 723019

## Site Visits

- Site Visit Guidelines are at:
- _[http://docdb.fnal.gov/CMS/DocDB/0004/000419/003/VisitCheckList.ppt](http://docdb.fnal.gov/CMS/DocDB/0004/000419/003/VisitCheckList.ppt)_
- Completed visits
- Planned Site Visits

- Suzanne Gysin

- 09/28/2005

## Completed Visits

- Gemini by Erik Gottschalk
- _[http://docdb.fnal.gov/CMS-private/DocDB/ShowDocument?docid](http://docdb.fnal.gov/CMS-private/DocDB/ShowDocument?docid=425)__[=425](http://docdb.fnal.gov/CMS-private/DocDB/ShowDocument?docid=425)_
- Jefferson Labs by Mike Lamm

- Suzanne Gysin

- 09/28/2005

## Hubble Telescope and STScI(Baltimore, MD)

- Contact: John  Gainsborough for Hubble, Jim Kennedy for STScI
- Visitors: Jean, Suzanne, Erik, Kaori?
- October 25

- Suzanne Gysin

- 09/28/2005

## SNS, Oakridge, TN

- Contact: Mario Gianella
- Visitors: Mike Lamm, Elliott, Elvin, Erik
- Need a date in late October from everyone.

- Suzanne Gysin

- 09/28/2005

## Space Shuttle & International Space Station

- Johnson Space Center in Houston, Texas
- No contact yet
- No dates yet

- Suzanne Gysin

- 09/28/2005

## Other Sites to Visit

- APS: (Advance Photon Source - Argonne)
- Braidwood power plant (Contact: Elvin)
- TRACON (Contact: Elvin)
- Super Computing (Seattle, Nov. 12 -18)

- Suzanne Gysin

- 09/28/2005
# Presentation: 075439

## Annual MDL Users Survey 2005

## FFMP

- During flash flood events,
- I find FFMP to be _____

## FFMP

- Level of use of FFMP in your office

## FFMP

- How satisfied are you with FFMP?

## SCAN

- During severe weather,
- I find SCAN to be _____

## SCAN

- Level of use of SCAN in your office

## SCAN

- How satisfied are you with SCAN?

## LSR

- Level of use of LSR in your office

## LSR

- How satisfied are you with LSR?

## SAFESEAS*

- During hazardous marine weather,
- I find SAFESEAS to be _____

***SAFESEAS is only available at 42 WFOs with Marine responsibilities.**
**It has only been a part of the AWIPS baseline for about 12 months**

## SAFESEAS

- Level of use of SAFESEAS in your office

## SAFESEAS

- How satisfied are you with SAFESEAS?

## AvnFPS

- In preparing or updating TAFs and TWEBs, I find AvnFPS to be _____

## AvnFPS

- Level of use of AvnFPS in your office

## AvnFPS

- How satisfied are you with AvnFPS?

## MOS

- In the forecast process, I find MOS to be _____

## MOS

- Level of use of MOS in your office

## MOS

- How satisfied are you with MOS?

## LAMP

- In the forecast process, I find LAMP to be _____

## LAMP

- Level of use of LAMP in your office

## LAMP

- How satisfied are you with LAMP?

## NDFD

- In providing forecast information to customers and partners, I find NDFD

## NDFD

- Level of use of NDFD web pages in your office

## NDFD

- How satisfied are you with NDFD?

## Overall Helpfulness of MDL Staff

- If you have encountered problems with MDL applications or guidance, how would describe the helpfulness of MDL Staff

## Overall Satisfaction with MDL

- How satisfied are you with MDL applications and statistical guidance products?

## Trend – SatisfactionFFMP

- How satisfied are you with the FFMP application?

## Trend – SatisfactionSCAN

- How satisfied are you with the SCAN application?

## Trend – SatisfactionLSR

- How satisfied are you with the LSR application?

## Trend – SatisfactionLAMP

- How satisfied are you with the LAMP application?

## Satisfaction

## Helpfulness

## Usage
# Presentation: 503679

## Using HIT to (Help) Measure Quality

- James M. Walker, MD, FACP
- CMIO
- Geisinger Health System

## Agenda

- Geisinger Overview
- Challenges
- Processes used to select metrics
- Lessons Learned

## Geisinger Overview

- 40 counties (mostly poor, elderly, and under-served)
- 4 hospitals; 30,000 discharges
- 41 clinic sites, 1.5 M visits
- 2.4 million patients in EHR
- HMO

## Clinical Information Systems

- Outpatient EHR – all docs, all activities
- Inpatient EHR – complete 2007
- Patient EHR – 87,000 users
- Outreach EHR – 250,000 encounters/year
- RHIE – 4 M patients, record locator, results transmission
- Research – EHR benefits, information-optimized care processes

## Challenges

- A welter of (evolving) requirements
- Defining quality internally at least as much as externally
- Achieving the minimum number of data elements (and definitions) required to
- manage quality internally and
- report to various recipients.

## Challenges

- A welter of (evolving) requirements
- Un-organized recipients
- Lack of standards

## Lack of Standards

- Lead time
- Topics
- Data elements (with definitions)
- Communications standards
- Operating systems and applications

## Challenges

- A welter of (evolving) requirements
- Disorganized recipients
- Lack of standards
- Organizational silos
- Fragmented data repositories
- Data capture
- Clinician acceptance

## Metric-Selection Processes

- Legacy metrics
- Clinical-process optimization

## Clinical-Process Optimization

- Chronic and Acute Care
- Create internal consensus on performance standards and metrics.
- Re-design processes to capture structured data for metrics.
- Create internal consensus on reports (internal and external).

## Metric-Selection Processes

- Legacy metrics
- Clinical-process optimization
- Literature Review (inpatient)
- Data Standards and Applications Committee

## Data Standards and Applications Committee

- Define unified reporting needs (internal and external).
- Commission necessary database (and data-warehouse) changes.
- Coordinate development of information-capture prompts and tools.
- Feed needs forward to policymakers.

**Notes:**
Data elements with definitions (e.g., SNOMED, CPT, LOINC, RxNorm)
Data sets required by specific customers

## Lessons Learned (internal)

- Prioritize internal and external needs.
- Focus organizational attention:
- Multiple voices over time
- The tipping point on the business case
- One organizational set of quality metrics
- Integrate the report, the databases, and the capture tools.

## Lessons Learned (external)

- One national set of quality metrics
- One place to send the one data set
- EHRs designed to prompt for and report the right data

## 

jmwalker@geisinger.edu

- jmwalker@geisinger.edu
# Presentation: 676163

**This is a screen shot of the main page of SATERN once a person is logged in.  The easiest way to find the courses is depicted with the arrow and circle below.  If you are looking for the CON 120 class, you would type in this area, NSSC - CON 120.  PLEASE SEE BELOW FOR NEXT SCREEN SHOT**

**This screen shot shows the search results for NSSC - CON 120.  If you want to take this course, click ****ADD TO LEARNING PLAN****.  PLEASE SEE BELOW FOR NEXT SCREEN SHOT**

**This screen shot shows the result of clicking on ADD TO LEARNING PLAN.  The next step is to register for the course.  Click the REGISTER button.  PLEASE SEE BELOW FOR NEXT SCREEN SHOT.**

**This screen shot is the result of clicking the REGISTER button.  At this point,  you will now see a more detailed view of the course.  The start date and end date are shown below.  To finalize the registration click the REGISTER button.  PLEASE SEE BELOW FOR NEXT SCREEN SHOT**
# Presentation: 189593

## 2007
National Air Quality Conferences
Orlando, FL

- National Air Quality Conferences
- Orlando, FL

- Goodbye and Safe Travels!

## Give-aways!!!

## On Disney. . .

- I do not like to repeat successes. I like to go on to other things.
- Walt Disney

## On AIRNow. . .

- We’ve been at this for a decade now
- What’s next?
- It’s kind of fun to do the impossible.
- Walt Disney

## 2007
National Air Quality Conferences
Orlando, FL

- National Air Quality Conferences
- Orlando, FL

- Goodbye and Safe Travels!
# Presentation: 724496

## Getting in and out of a Jam:The Jamming Transition in a Granular MaterialR.P. Behringer, PI, Duke University DMR-0555431 and DMR-0137119

- How granular materials and other disordered systems pass from the rigid, jammed state to the fluid, unjammed state is of considerable interest.  In Nature, **435**, 1079 (2005) we took a step towards an experimental understanding of this issue with the first experimental results for *internal* granular contact forces.

- New work recently submitted, and based on similar techniques provides the first experimental test, to our knowledge, of how granular materials jam.  We find good agreement with a range
- of recent theoretical predictions for contact
- numbers, Z, pressure, P, and bulk modulus.  Our
- experiments exploit photoelasticity to obtain
- contact forces in 2D systems. The image to the right is a photoelastic image of a jammed state.  The use of photoelasticity is particularly effective at providing contacts and forces.

**Notes:**
Photoelasticity is based on the idea that stresses within a material affect the way light propagates depending on the polarization of the light and the forces.  By placing a stressed photoelastic object between crossed polarizers, it is possible to deduce the forces that the object feels.  These studies are particularly novel in their use of photoelasticity to extract the forces that particles exert on each other for large enough collections of particles that one can obtain important statistical information.  This information, such as the number of contact forces have value f, called P(f), forms the basis of new models for granular materials.  

## Getting in and out of a Jam:The Jamming Transition in a Granular MaterialR.P. Behringer, PI, Duke University DMR-0555431 and DMR-0137119

*Education:* Three grad students,* *
- five under-grads and a high school student have been involved in related aspects of this work.  Of the grads, two, Trush Majmudar and John Wambaugh completed Ph.D.’s this summer and are employed as post-docs.  One, Jun Uehara, completed a master’s Thesis; she is now working in industry.
- Undergrads include Alejandro Canceres,
- Joyce Coppock, who will write a
- senior thesis based on her work, Tim Jones, Dan Roberts, and Alex Siemens.  High school student Corey Kim has an ongoing project studying acoustics in granular materials.

*Societal Impact: *
- The handling of granular materials is of
- utmost importance to many commercial
- processes from the handling of ores and
- food grains to making pills.  The current
- predictive capability for designing these
- processes is woefully inadequate, and
- leads to substantial losses.  For instance, it
- has been estimated that up to $1Trillion
- a year is spent handling granular
- materials, and typical handling facilities
- operate around 2/3 of the design capability.
- Our work addresses the crucial need to
- develop a fundamental understanding of
- granular physics to rectify this deficiency.
# Presentation: 786165

## Annual cycle of cloud fraction and surface radiative cloud forcing in the South-East Pacific Stratocumulus region

- Virendra P. Ghate and Bruce A. Albrecht (U Miami)
- Christopher W. Fairall (NOAA ESRL)
- Robert A. Weller (Woods Hole Oceanographic Institution)

## Significant Component of Earth’s radiation budget.
20% increase can offset global warming due to doubling of CO2.
Strong feedback with ENSO

- 20% increase can offset global warming due to doubling of CO2.
- Strong feedback with ENSO

- Klein & Hartmann 1993

## WORS

- Wood’s Hole Oceanographic Institute (WHOI)’s Ocean Reference Station (WORS).
- Location: 20° S 85° W
- Continuous observations of surface broadband radiative fluxes and thermodynamic variables since October 2000.

- http://uop.whoi.edu/archives/dataarchives.htm

## Slide 4

| Cruise Name | Cruise Period |
| --- | --- |
| EPIC 2001 | Oct 9-25 |
| PACS 2003 | Nov 11-24 |
| Stratus 2004 | Dec 5-23 |
| Stratus 2005 | Oct 5-20 |
| Stratus 2006 | Oct 9-27 |

## Seasonal variation of meteorology at WORS 

## Seasonal Variations: Other Properties

- Surface fluxes of sensible and latent heat, LCL, convective velocity scale, and temperature and moisture advection

## Estimating Low Cloud Fraction fro a Buoy

- LW = Measured downwelling longwave radiation at the surface.
- CF = Cloud Fraction
- LWcld = Cloud emitted longwave radiation
- LWclr = Clear sky longwave radiation.

## Technique

- LW = Observed at WORS
- LWcld = σTLCL4
- LWclr = f(qsfc,Tsfc,IVsfc); Fairall et al. 2007

## Technique Evaluation:Ceilometer Observations

## Model-satellite comparison

## Seasonal Cycle: Monthly Means

- Cloud Fraction
- Annual cycle 0.5-0.7

- Cloud Forcing: Surface radiative fluxes
- Annual Cycle:
- Solar -125 to -65 W/m2
- IR        55  to  35 W/m2

## Diurnal Cycle

## Diurnal Cycle Cloud Fraction

| Months | Range | Phase | Mean Night-time |
| --- | --- | --- | --- |
| DJF | 0.33 | 18 | 0.68 |
| MAM | 0.22 | 19 | 0.59 |
| JJA | 0.11 | 18 | 0.64 |
| SON | 0.23 | 17 | 0.79 |

## More Detailed Data Sets

- Annual Cruises
- VOCALS field
- Program
- Fall 2008
- _[http://www.esrl.noaa.gov/psd/people/Simon.deSzoeke/synthesis.html](http://www.esrl.noaa.gov/psd/people/Simon.deSzoeke/synthesis.html)_
- http://www.eol.ucar.edu/projects/vocals/
# Presentation: 215664

## FAR DETECTOR:    Alec Habig   

- One DAQ hard drive swapped out on Wed. Nov. 21
- 99.8% livetime this week
- _NEAR DETECTOR_:    Alec Habig
- Downtime due to work on the cooling plumbing at the downstream end, serving both the absorber and the ND. Tue. Nov. 20
- The ND operated without coil Tuesday night as the LCW water was de-ionized. The coil was back up at ~9:00am on Wednesday morning.
- ND electronics hardware swaps Tue. Nov. 20 and Wed. Nov. 21 – most of the ND electronics problems were fixed.
- 97.3% livetime this week

## BEAM SYSTEM STATUS:	 			Sam Childress

- 2+5 mixed mode operation – 2.2 sec. cycle time giving 145 – 150 kW (pre shutdown typically 175 – 180 kW)‏
- Improved beam power to 185kW this afternoon!
- 3.28x1018  POT for this week
- Downtimes:
- ~ 36 hr downtime (Mon. 4 AM – Tues 4 PM)‏
-  due to oil leak in kicker power supply –
- thru high voltage feed-thru.
- In parallel problem with absorber RAW skid
- cooling water flow - fixed
- Steady operation thru holiday weekend with minimal downtime – thanks operation staff!

## beam power

- protons per day

- Beam power plot shows booster tuning

## Intensity plot shows booster tuning

- 2.2s cycle
- (was 2.4s previously)‏

- protons per pulse

- cycle time

- 2.2s cycle
- (was 2.4s previously)‏

## end of 2007 shutdown

## Neutrino energy spectra at ND    J. Hartnell

-  “Good” RunIII POT: 2.53e18
-  Plot made a few hours ago
-  Have to check calibration, b-field, *etc.*
* *The difference between two spectra is partly due to the fact that the decay pipe is now filled with 1atm helium gas.
-  Full detector simulation is on the way.

## One beam neutrino candidate at FD, found by Ryan Nichol on Wed. Nov. 22
# Presentation: 464135

## The SAMGrid Project at FNAL

- Computing Element

- Submission Client

- User Interface

- Queuing
- System

**The SAMGrid Project at FNAL**

**User Interface**

**Broker**

- Match Making Service

- Information Collector

**Execution Site #1**

**Submission Client**

**Match Making Service**

- Computing Element

- Grid Sensors

**Execution Site #n**

**Queuing System**

- Grid Sensors

- Storage Element

- Storage Element

- Computing Element

- Storage Element

- Data Handling System

- Data Handling System

**Storage Element**

**Storage Element**

**Information Collector**

**Grid Sensors**

**Grid Sensors**

**Computing Element**

**Data Handling System**

**Data Handling System**

- Final ranks for job submission are  based on amount of data cached at each execution site.

- Grid sensors provide
- resource availability of execution sites to
***Request Broker.***

- User submits job request to ***Submission Client***, which sends them to ***Queuing System.***

- Jobs in the queue are matched to available resources by the ***Match Making Service***. The job is submitted to a particular execution site.
# Presentation: 197238

## Unifying Solver Frameworks

**Barry F. Smith**
**Argonne National Laboratory**

## Common software infrastructure for nonlinear PDE solvers

**User codes to the problem they are solving, ****not**** the algorithm used to solve the problem**
**Implementation of various algorithms reuse common concepts and code when possible, ****without**** losing efficiency **

## Encompassing ...

**Newton’s method**
**Direct solvers**
**Matrix-based preconditioned solvers**
**Matrix-free methods**
**Multigrid linear solvers (Newton-MG)**
**Matrix-based and matrix-free**
**Nonlinear multigrid**
**aka Full approximation scheme (FAS) **
**aka MG-Newton**

## Software engineering ingredients

**Standard solver interfaces (SIDL)**
**Solver libraries (obviously ********)**
**Automatic differentiation (AD)**
**Code generation**

## Testbed: 2D Hall MHD sawtooth instability

**Model equations:**

- (Porcelli *et al.,* 1993, 1999)

**Testbed: 2D Hall MHD**** ****sawtooth instability**

## Hall Discretization (provided by K. Germaschewski, CMRS)

**typedef struct {**
**  ****double phi,psi,U,F;**
**} Field;**
**Function(DALocalInfo *info,Field **x,Field **f,...)**
**...****..**
**   ****/* Compute over the local points */**
**   ****for (j=info->ys; j<info->ys+info->ym; j++) {**
**      ****for (i=info->xs; i<info->xs+info->xm; i++) {**

## Hall Discretization (cont.)

**          ****/* Lap(phi) - U */**
**      ****f[j][i].phi = (Lapl(x,phi,i,j) - x[j][i].U) * hxhy;**
**         ****/* psi - d_e^2 * Lap(psi) - F */**
**      ****f[j][i].psi = (x[j][i].psi - de2 * Lapl(x,psi,i,j) - x[j][i].F) * hxhy;**
**         ****/* vx * U_x + vy * U_y - (B_x * F_x + B_y * F_y) / d_e .... */**
**      ****f[j][i].U  = ((vxp * (D_xm(x,U,i,j)) + vxm * (D_xp(x,U,i,j)) +**
**                         ****vyp * (D_ym(x,U,i,j)) + vym * (D_yp(x,U,i,j))) -**
**                         ****(Bxp * (D_xm(x,F,i,j) + F_eq_x) + Bxm * ....**
**       ...****.**

## Algorithm review

*F(u) = 0,***   Jacobian ***A(u)*
**Newton  **
**Newton – SOR (1 inner sweep)**
**SOR-Newton (1 inner sweep)**

## Cute observation

**SOR-Newton**

-  **With approximations**

**Gives Newton-SOR**

******  ****Matrix-free linear relaxation **
**(Gauss-Seidel) **
** ****is almost identical to nonlinear relaxation**

## Function and Jacobian evaluation

**FAS requires pointwise**
**Newton desires global**
**Newton-MG desires both**

## Automatic Differentiation

**Given code for              can compute**
*A(u)***    ****and**
*A(u)*w***    ****efficiently**
**Given code for              can compute**
**            ****and**
**                  ****efficiently**

## Code generation (in-lining )

**Inside the small dimensional Newton methods is a user-provided function and (AD) Jacobian **
**Big performance hit if handled directly with components**

## Coarse grid correction is not an issue 

**Newton-MG**
**MG-Newton**

## Conclusion

**     ****The algorithmic/mathematical building blocks for Newton-MG and MG-Newton are essentially the same**
**     ****Thus the software building blocks should be also (and they will be ********).**
# Presentation: 448935

## Experiment using the Disc Chopper Spectrometer		

- Rotational Ligand Dynamics
- Group D
- S. Diallo, I-K. Jeong, S. Jonas, D. Phelan, Y. Liu, V. Atakan, H. Wu

## Our system: Mn[N(CN)2]2.pyrazine

**. ****At 408 K**
**- Large Debye-Waller Factor on pyrazine**
**-Phase transition **
**At 435 K  Decomposes and loses pyrazine**

## Experiment

- The goal is to probe the motion of the Hydrogen atoms in Mn[N(CN)2]2.pyrazine.

## DCS: TOF instrument

## Measurement and Data Analysis

- Deuterated sample for coherent Bragg diffraction to obtain structure as a function of temperature and paramagnetic structure
- Protonated to observe both single particle motion (quasielastic) and to weigh the inelastic scattering spectrum in favor of hydrogen (vibrations)

## Protonated Data fitting using DAVE

- Ao = 1⁄2[1+sin(2Qr)/(2Qr)]

- At T= 425 K

## Elastic Incoherent Scattering Function (EISF)

- T=425K, Fitting of EISF, Eq: p0 + p1 * sin(p2*x)/(p2*x)

- R=p2=3.86(3)A

## Conclusions and further considerations

- In our fitting, we did find a good value of the rotation radius               using the two-fold model.

## Thanks to all the NCNR staff for their help and support.
# Presentation: 437399

## Nonlinear Paleoclimatology:Reconstructions inWest Antarctica

- David B. Reusch and Richard B. Alley
- Department of Geosciences
- and EMS Environment Institute
- Penn State University

**Funded by the Office of Polar Programs, **
**National Science Foundation**

- Additional thanks to Bruce Hewitson, University of Cape Town

## Motivation

- Learn about West Antarctic climate
- Analyze the best available information on the atmospheric circulation
- Move into pre-instrumental period with improved interpretations of ice core proxies
- It’s a (mostly) nonlinear world
- Linear tools work, some of the time
- We need to supplement the toolbox

## Part OneFinding Patterns

## Slide 4

## Self-organizing Maps (SOMs)

- Think “A tool for extracting generalized patterns of variability without supervision”
- Input datasets probably
- multivariate/multidimensional
- large (time or space)
- involve nonlinear processes

## Slide 6

## Slide 7

## Slide 8

## Slide 9

## Slide 10

## Part TwoUpscaling

## Slide 12

## Slide 13

## Slide 14

## Neural

- Accumulation

- 1988

- Standard Deviations

- SOM Grid 0,0

- Network

- X=0

- y=0

- 1980, 1988

- 1980

*Training*

## ?

- Accumulation

- Standard Deviations

- Neural
- Network

- X=?

- y=?

- 1955

- 1964

*Predicting*

## Slide 17

## Upscaling Works

- There is predictive skill
- Different predictors have similar skill in training
- Ice-core accumulation, Na, NO3, SO4
- AWS Temperature & Pressure
- ...and in testing in the pre-ERA-15 era
- Not perfect but better than chance
- “No analog” states suggest more training data are needed
- But we can do better

## How to make upscaling better

- Longer training period
- ERA-15 only covers 1979-1993
- Only 15 training records at annual resolution
- ERA-40 adds 25+ years of training data
- New ice cores
- Cores used so far from limited area
- ITASE core sites cover much broader region
- Better spatial sampling of the atmosphere

## Conclusions

- Self-organizing maps provide useful, new classifications of atmospheric circulation
- Reconstruct past circulation using new patterns, ice cores and neural nets
- Potentially bright future with new ice core and atmospheric data sets

## Slide 21
# Presentation: 925384

## Crystal Ball Panel

- Thomas Sterling
- California Institute of Technology
- and
- NASA Jet Propulsion Laboratory
- March 6, 2003

*Presentation to the 7**th** Workshop on Distributed Supercomputing**:*

- Thomas Sterling - Caltech & JPL

- March 6, 2003

## Focus Questions 

- What does the future hold for supercomputing?
- What do we want to see?

- Thomas Sterling - Caltech & JPL

- March 6, 2003

## Shape of the Crystal Ball (1)timelines

- Enabling device technologies
- Supercomputer architectures and execution models
- Programming models and languages
- Compiler technology and runtime system responsibilities
- Operating systems
- Persistent storage, file systems, and external I/O capabilities
- Reliability, fault tolerance, and failure recovery
- Machine intelligence in machine programming and management
- Resources: size, cost, power, time to program, time to solution
- Breakthroughs in science, technology, commerce, and national security through computational advances

- Thomas Sterling - Caltech & JPL

- March 6, 2003

## Shape of the Crystal Ball (2)driver factors

_**Hard Factors**_
- Technology opportunities
- Moore’s Law and when does it flatline
- Alternative or avant garde devices (e.g. RSFQ, MRAM, Spin, quantum)
- Innovative concepts in computational structures and paradigms
- Costs of machines
- Costs of programming
- Mission requirements and level of urgency (the “*counter-costs*”)
_**Soft Factors**_
- Mainstream market pressures
- Legacy codes & languages
- Government funding
_**Mushy Factors**_
- Vision or lack thereof
- Learning curve and reticence
- Conservative culture
- Disinterest and/or lack of will

- Thomas Sterling - Caltech & JPL

- March 6, 2003

## Future or Fiction

- Thomas Sterling - Caltech & JPL

- March 6, 2003

## Panelists

- Al Geist, ORNL
- Mike Merrill, NSA
- Thomas Stricker, ETH
- Bill Gropp, ANL
- Bill Camp, SNL

- Thomas Sterling - Caltech & JPL

- March 6, 2003
# Presentation: 826163

## USGS Role in Framing the Climate Change Challenge

**Mark Myers**
**Director, USGS**

## Potential Impacts of Climate Change to Tribal Communities 

**  ****Water Availability for ****	****Agriculture and Human Supply**
**  ****Human Health**
**  ****Land-use Land Cover Practices**
**  ****Permafrost Thawing**
**  ****Coastal Erosion and Sea-Level ****	****Rise**
**  ****Proliferation of Invasive Species**
**  ****Integration of Traditional ****	****Knowledge in Climate Studies**

## USGS - - The Strengths of Science, Monitoring and Information

**  ****History of climate change science ****	****research and long-term monitoring**
**  ****Monitoring assets- from ice cores to ****	****stream gages to Landsat**
**  ****Multi-disciplinary capabilities and ****	****scientific expertise across the ****	****landscape**
**  ****Capability to assess prehistoric, historic ****	****and current climate effects**
**  ****Ability to integrate broad arrays and ****	****types of information for effective ****	****decision-making**

- Ice Core

- Landsat 7

- Stream Gage

## USGS Climate Change Science on Native Lands

**   ****Air Quality Research – Dust, Mercury, Coal**
**  ****Monitoring Changes in Snowpack and Stream ****	****Runoff**
**  ****Native Plant Populations and Invasive Species **
**  ****Interplay Between Land Use, Land-cover ****	****Change and Climate**
**  ****Changing Distribution and Impact of Human ****	****and Animal Diseases **

## Bringing Culture and Science Together

## Collaboration and Partnerships

-   **Information Sharing**
**  ****Training**
**  ****Internships**

## Looking Toward the Future
# Presentation: 669538

## Recent CIGS cell data from NREL

- Select Viewgraphs from an Invited Talk at European MRS Meeting, Thin Film Chalcogenide Symposium O

## SEM images of absorbers

- 26% Ga/(In+Ga)

- 31% Ga/(In+Ga)

## J-V curves of CIGS cells

- 19.3-19%

- 18.4-18.2%

## QE, Reflectance 

## J-V parameters of CIGS cellsNREL PV Performance Characterization Team Data, April 04

| Sample Number | Voc (V) | Jsc (mA/cm2) | Fill Factor (%) | Efficiency (%) |
| --- | --- | --- | --- | --- |
| S2212-B1-3 | 0.701 | 34.60 | 79.65 | 19.3 |
| S2212-B1-4 | 0.704 | 34.33 | 79.48 | 19.2 |
| S2212-B1-5 | 0.703 | 34.08 | 79.23 | 19.0 |
| S2213-A1-3 | 0.740 | 31.72 | 78.47 | 18.4 |
| S2213-A1-4 | 0.737 | 31.66 | 78.08 | 18.2 |

## Light J-V curve analysis

| Device Number | J0 (A/cm2) | n |
| --- | --- | --- |
| S2212-B1-3 | 5x10-11 | 1.35 |
| S2212-B1-4 | 6x10-11 | 1.36 |
| S2212-B1-5 | 6x10-11 | 1.35 |
| S2213-A1-5 | 4x10-10 | 1.57 |
| S2213-B1-4 | 5x10-10 | 1.62 |

- R = 0.25 Ω cm2
- G = 0.10 mS cm-2 (or  Rsh = 10 kΩ cm2)

## Distribution of Voc and Fill factors in Two CIGS runs (~ 12 cells, 3” length)

## J-V Parameters of Recent CellsNREL PV Performance Characterization Team Data, May 13, 04

| Sample Number | Voc (V) | Jsc (mA/cm2) | Fill factor (%) | Efficiency (%) |
| --- | --- | --- | --- | --- |
| S2229A1-3 | 0.720 | 32.86 | 80.27 | 19.0 |
| S2229A1-5 | 0.724 | 32.68 | 80.37 | 19.0 |
| S2229B1-2 | 0.731 | 31.84 | 80.33 | 18.7 |
| S2229B1-4 | 0.728 | 31.87 | 80.16 | 18.7 |
| S2232A1-3 | 0.703 | 33.94 | 79.67 | 19.0 |
| S2232A1-4 | 0.704 | 33.83 | 80.09 | 19.1 |
| S2232B1-2 | 0.717 | 33.58 | 79.41 | 19.1 |
| S2232B1-3 | 0.713 | 33.38 | 79.54 | 18.9 |
# Presentation: 347942

## Collaborative Research: Nonpolar Electrooptic Materials  Robert Twieg KSU           DMR 0308701 - K. Singer and R. Petscheck 

- <date/time>

- (a) DNA backbone double helix structure.* (b) change in hyper-Rayleigh hyperpolarizability upon aggregation and binding (before binding is blue, after is magenta). (c) the proposed structure of cyanine dye dimers.
- **http://www.psc.edu/~deerfiel/Nucleic_Acid-SciVis.html*

**Collaborative Research: Nonpolar Electrooptic Materials  ****Robert Twieg**** KSU           ****DMR 0308701 - ****K. Singer and R. Petscheck**

**Optical communications relies on placing, transmitting and extracting information on optical fibers. The conversion of electronic to optical signals uses an electro-optic modulator. Our collaborative research project studies materials for these important applications using theoretical and experimental physics and materials chemistry.  Our approach requires molecules aligned in a helix, as others have hypothesized occurs in the self-assembly of cyanine dyes in the minor groove of DNA with all dyes co-aligned outward.**
**Hyper-Rayleigh light scattering should increase dramatically if, *****consistent with published hypotheses,***** there is appropriate assembly. We found a significant *****decrease***** in *****all***** measured hyperpolarizabilities, rather than just the expected increase in the chiral hyperpolarizability and a decrease in the others.  This suggests that, contrary to the published interpretation, the dyes assemble as anti-aligned dimers, as illustrated in (c).**

- All hyperpolarizability components
- are all reduced upon complexation
- of the cyanine dye with DNA

- The dyes appear to assemble in
- the DNA groove in this fashion

- (a)

- (b)

## Education:

- Four undergraduates have participated in the project (Sarah Pokalski, Colleen Woodward, Justin Thrall, Thomas Boatwright, and Yannick Cohen).  Three graduate students have participated in the project (Greg Wiggers, Guilin Mao, and Yeheng Wu).  Two postdoctoral researchers have participated as well (Lionel Sanguinet, Zhiyong Yang)  This project has overlapped with the NSF-REU summer program at KSU where Jarrod Williams was involved in materials synthesis.
_**Outreach:**_
- Students from Hathaway Brown High School’s nationally recognized research program have been involved in nonlinear optics research in our laboratories (Elysa Chao, Katie Poseiden, and Dora Huang).  Elysa Chao was an Intel Science Talent Search Semifinalist.

- Hathaway Brown high school student  Dora Huang adjusting a laser with assistance from grad student Yeheng Wu and undergraduate student Yannick Cohen.
# Presentation: 248668

## Hurricane Ike

- 1400L 10 Sep 2008
- Al Mongeon
- NOAA Meteorologist

## Slide 2

## IKE NOW A CATEGORY TWO HURRICANE

- AT 200 PM EDT...1800Z...THE CENTER OF HURRICANE IKE WAS LOCATED NEAR LATITUDE 24.2 NORTH...LONGITUDE 85.8 WEST OR ABOUT 255 MILES... 410 KM...WEST OF KEY WEST FLORIDA AND ABOUT 395 MILES... 640 KM...SOUTH-SOUTHEAST OF THE MOUTH OF THE MISSISSIPPI RIVER.
- IKE IS MOVING TOWARD THE NORTHWEST NEAR 8 MPH...13 KM/HR.  A TURN BACK TO THE WEST-NORTHWESTWARD MOTION IS EXPECTED LATER TODAY...AND A MOSTLY WEST-NORTHWESTWARD MOTION THROUGH THE CENTRAL GULF OF MEXICO IS EXPECTED OVER THE NEXT COUPLE OF DAYS.
- MAXIMUM SUSTAINED WINDS ARE NOW NEAR 100 MPH...155 KM/HR...WITH HIGHER GUSTS. IKE IS NOW A CATEGORY TWO HURRICANE ON THE SAFFIR-SIMPSON SCALE. IKE IS EXPECTED TO BECOME A MAJOR HURRICANE WITHIN THE NEXT 24 HOURS.

## Winds, Pressure,Storm Surge

- IKE IS A LARGE TROPICAL CYCLONE.  HURRICANE FORCE WINDS EXTEND OUTWARD UP TO 80 MILES...130 KM...FROM THE CENTER...AND TROPICAL STORM FORCE WINDS EXTEND OUTWARD UP TO 205 MILES...335 KM.
- THE LATEST MINIMUM CENTRAL PRESSURE REPORTED FROM AN AIR FORCE RESERVE UNIT HURRICANE HUNTER AIRCRAFT WAS 958 MB...28.29 INCHES.
- COASTAL STORM SURGE FLOODING ALONG THE COASTS OF CUBA AND IN THE FLORIDA KEYS SHOULD SUBSIDE TODAY.
- ABOVE NORMAL TIDES OF 2 TO 4 FEET ARE ALREADY OCCURRING ALONG MUCH OF THE NORTH COAST OF THE GULF OF MEXICO.

## Rainfall

- IKE IS EXPECTED TO PRODUCE TOTAL RAINFALL ACCUMULATIONS OF 6 TO 12 INCHES OVER WESTERN CUBA...WITH ISOLATED MAXIMUM AMOUNTS OF UP TO 20 INCHES POSSIBLE.
- THESE RAINS ARE LIKELY TO CAUSE LIFE-THREATENING FLASH FLOODS AND MUD SLIDES OVER MOUNTAINOUS TERRAIN.
- ADDITIONAL RAINFALL AMOUNTS OF AN INCH OR SO ARE POSSIBLE OVER THE SOUTHWEST FLORIDA AND THE FLORIDA KEYS THROUGH THIS EVENING.

## Hurricane Ike