BEE-spoke-data/govdocs1-by-extension huggingface dataset:
# Presentation: 388205

## Review for Sensitivity Analysis Quiz 

| Statistic | Spelled out | Calculated for each.. |
| --- | --- | --- |
| Leverage |  | Obs |
| DSS | Dimensionless SS | Obs and parameter |
| CSS | Composite SS | Parameter |
| PCC | Param. Cor. Coef. | Parameter pair |
| Cook’s D |  | Obs |
| DFBETAS |  | Obs and parameter |
| PSS | Prediction SS | Pred and parameter |
| PPR | Parameter-PRed | Parameter |
| OPR | Obs-PRed | Obs |

- Review for Sensitivity Analysis Quiz

- SS       Scaled Sensitivity

## Sensitivity Analysis Quiz! Which statistics address which relations??

- Observations – Parameters - Predictions

-                                                                        Leverage       OPR
-                                                                        DSS
-                                                                        PPR
-                                                                        PCC               CSS
-                                                                        PSS
-                                                                        Cook’s D
-                                                                        DFBETAS

- Observations ---------------- Predictions

- After Hill and Tiedeman, 2007, p. 263

## Review for model fit quiz

- BIC
- AIC
- s2
- s
- S(_b_)
- Graphical analysis

## Review for Uncertainty Analysis Quiz

**UCODE_2005 documentation, **
**Appendix B, p. 231-233**

## Common questions that can be addressed by the methods taught here 

- How much and what model complexity can the observations support?
- Are any of the estimated parameter values dominated by a single observation?
- What model parameters are important to the things I need to predict?
- What data should be collected to improve the predictions?
- Which conceptual model of the system is likely to produce better predictions?
- How certain are the predictions?

## The 14 Guidelines

- Organized common sense with new perspectives and statistics
- Oriented toward clearly stating and testing all assumptions
- Emphasize graphical displays that are
- statistically valid
- informative to decision makers

**We can do more with our data and models!!**
# Presentation: 280365

## Local All Hazards Response Concept 

**Richard Okulski, WCM**
** ****National Weather Service – Mid South**
**www.nws.noaa.gov/meg**

**Weather Support**
**Significant Events**

**Notes:**
Self introduction and introduction of topic.

## Overview

**Recent Memphis HAZMAT Incident**
**Local Office All Hazards Response**
**Resources **
**On and Off Site Support **
**Strengths and Challenges  **
**Summary**

## NWS Mission

**The National Weather Service (NWS) provides weather, hydrologic, and climate forecasts and warnings for the United States, its territories, adjacent waters and ocean areas, for the protection of life and property and the enhancement of the national economy. **
**Our forecasters work 24/7 – 365 days a year to protect America**

## Weather and Significant Events

-  **Some Significant Events are Weather Related (“Elvis” in 2003, Hurricane Katrina in 2005)**
**Other Events are Not Weather Related, However Weather Plays **
**an Important Role in Response and Recovery Operations **

## Memphis TN HAZMAT Event

-  **August 4****th**** - Brooks Ave **
** ****Fire at Pro-Serve Industrial Complex**
**Toxic Herbicide Chemicals in Storage Tanks**
** ****Shelby County EMA Requested On Site Meteorological Support**
** ****WFO Memphis Dispatched A Forecaster to Support Fire Suppression Efforts and Plume Dispersion Impacts  **

## Local All Hazards Response Concept

-  **All WFO Forecasters Trained For Off Site All Hazards  Support **
** ****HAZMAT, Homeland Security Incidents, Seismic Events  **
** ****Smaller Cadre (2-4 Forecasters) Trained For On Site Support**
** ****Laptop PCs, Dial Up Internet Capability**
** ****Portable Weather Observing Equipment **
** ****Integrate Into Incident Command Structure **
** ****Knowledge of Dispersion Models (HYSPLIT, CAMEO)**

## National Weather Resources

**Weather Radar**

**Satellite**

**Upper Air System**

**Automated Surface Observation System**

**High speed computers**

## Local Weather Resources

## Strengths

**Meteorologist is On Site**
***Firmer Grasp of Small Scale Weather Details (Eyes on the Incident)***
**Tied Into Incident Command Structure (Safety Briefings, Planning Meetings) **
**Portable Weather Observing Station**
**Weather Watch – Response and Recovery Efforts  **

## Challenges 

**Dispatch Criteria **
***Event Scope and Duration***
***Weather Factor in Risk Assessment  ***
**Communications **
***Access to Weather Data (Internet)  ***
***Links to ICS Radio Network ***
**Logistical Support**
***Host Provides Meals, Lodging ***

## Summary  

**WFO Memphis Supports All Hazards Incidents **
**We Provide On and Off Site Meteorological Support **
**We Want to Work With You to Determine the Proper Dispatch Criteria **
**Communications Is The Key to Making NWS On Site Support a Success  **

## Working together to save lives

**Thank you**
**Richard Okulski, WCM**
**National Weather Service**
**Weather Forecast Office - Memphis  **
**(901) 544-0411**
- _Richard.Okulski@noaa.gov_
**Webpage: **_**www.srh.noaa.gov**_** ****	**
# Presentation: 360654

## Implementation Status
Presented to: Berkeley Site Office
Implementer : Minh Huebner
January 4, 2007

- Presented to: Berkeley Site Office
- Implementer : Minh Huebner
- January 4, 2007

- Office of Management and Budget Circular A-123 (Appendix A)Management Accountability and Control** **

## FY 07 Implementation Plan Summary

- FY 07 Focus moves from high risk controls to medium and low risk controls
- Additional/new requirements of classifying data in Site A-123 Assessment and Reporting Tool (AART)
- Documentation, evaluation, and remediation all required for 2007 implementation to accomplish deliverables to DOE
- All medium and low risk controls must be tested by July 31

## Recent Accomplishments

- DOE OMB training in Mid – Dec 2006 for selected Assessment Team members
- IAS conducted Internal Control training for all project participants in Dec 2006
- Review and evaluation of controls in moderate and low risk areas are currently in process.  Testing begins once evaluation is complete.
- OMBA-123 implementation webpage (LBNL OCFO)
- Lessons Learned report by IAS
- Site AART upgrade to version 4 from 3.1

## FY07 Timelines

| Milestones | Due Dates |
| --- | --- |
| Internal Control training | 10/1/2006 through 12/15/2006 |
| Revised Site AART toolkit | Mid December |
| Review of Site AART data (including Financial Statement Assertion linkage) | 12/15/2006 through 2/15/2007 |
| OMBA-123 Webpage development | 11/1/2006 through 12/31/2006 |
| 1st Quarterly reporting   | 1/5/2007 (tentative) |
| Realignment of FY 2006 Data for new Site AART features | 2/15/07 through 5/15/2007 |
| Testing  | 2/15/2007 through 7/31/2007 |
| 2nd Quarterly reporting  | 4/6/2007 (tentative) |
| Remediation of controls  | 2/15/2007 through 6/15/2007 |
| 3rd Quarterly reporting  | 7/6/2007 (tentative) |

## FY07 Timelines (Continued)

| Milestones | Due Dates |
| --- | --- |
| Preliminary assurance reporting | 8/10/2007 (tentative) |
| Final assurance reporting | 8/27/2007 (tentative)
 |
| Periodic assessment team meeting | Ongoing |
| Quarterly Steering Committee meeting | Ongoing |
| Periodic status report to CFO | Ongoing |
# Presentation: 370005

## NIH/NLM Optical Networks

- _Jules Aronson_
- _aronson@nlm.nih.gov_

- NIH/NLM
- Ver. 1
- 09/09/05

## Telemedicine

- Predictable Network Performance
- Low Latency
- Low Jitter
- Security
- Low Cost

## What is the BIRN?

**Extensible tools**** and IT infrastructure that can be reused.**
**Established ****Cyber-infrastructure**** for a ****virtual data grid**
**Involves a large scale ****data integration**** effort**
**     **

**IT Infrastructure to hasten the derivation of new understanding and treatment of disease through use of distributed**** knowledge**

**What is the BIRN?**

*The BIOMEDICAL INFORMATICS RESEARCH NETWORK*

**It will no longer matter where data, instruments and computational resources are located!*

## caBIG (Cancer Biomedical Informatics Grid)

- Network of individuals and institutions
- Share data and tools
- Speed delivery of innovative treatments
- Participants:  50 Cancer Centers and 500 individuals
- Proposed Architecture:  Grid
- May Profit from Optical Networks

## HHSNet

- Current Topology
- Local Dark Fiber
- vBNS for distant connections
- Covers almost all of the DHHS agencies
- Future
- All Optical Network

## Slide 6

## Conclusion

- Potential for implementing Optical Networks
- Caveat:  Cost
- Previously: Build it and they will use it
- Now, we are limited by the cost
# Presentation: 513559

## Research Shut Down or Restriction

- Skye McDougall, PhD
- Network Research Officer
- VISN 22

## How Can This Happen ?

## Ongoing Research

- Assurance to conduct research

## The Research Process

## Shut Down or Restriction

## Shut Down or Restriction

- Who is telling me to stop?
- OPRR/OHRP
- ORCA/ORO
- Can they really do this?
- YES
- Common Rule
**YES**

**Common Rule**

## How Can This Happen ?

## Why Did This Happen?

- Do not understand rules and regulations
- Inadequate resources
- Inadequate documentation

## Research STOPS	Impact

- Patient Safety-Patient Harm

## Research STOPS	Impact

- Patient Safety-Patient Harm
- Who decides?
- Chief of Staff

## Research STOPS	Impact

- Upset, angry, frustrated investigators
- Confused patients-human Subjects

## Research STOPS	Impact

- Academic Affiliate issues
- The PRESS

## Research STOPS	Impact

- Notify clinical research sponsors
- Notify FDA

## Research STOPS	Impact

-  CHAOS

## Research STOPS	Impact

- Loss of staff
- Involvement of Associate Directors, Human Resources, Fiscal

## Research STOPS

- What comes next?

- Adhere to conditions of shut down or restriction

## Research STOPS

- What comes next?

- Adhere to conditions of shut down or restriction
- Education and more education
- Review of all research protocols

## The Research Process

## Research Protocol Review

- How many research protocols do you have?
- Accurate database?

## Research Protocol Review

- New research may **NOT** begin

## Research Protocol Review

- Reconstitute IRB and R&D committees
- Who staffs the committees?
- Where do you find qualified staff?

## Research Protocol Review

- Resources?
- Tracking system?

## The Research Process

## Research Protocol Review

-  Frantic pace
-  Staff burnout and turnover

## Research Protocol Review

-  Impact on clinical care
-  Why is it taking so long?

## Fiscal Impact

- No new grants
- Continuing research slows down
- VERA $ decrease
- New staff

** ****$$$$$$$$**
** ****$$$$$**
** ****$$$**

## Research Recovery

-  Review finished

## The Research Process

## It Can Work!
# Presentation: 706374

## Patient and  his Health Insurance Company in  a new system

**Ing. Jaromír Gajdáček**
**Executive director**
**Association of Health Insurance **
**Companies Funds**
**Czech Republic**

**24.9.2007**

## History of health insurance in CR

- 1991 – established General IC
- 1992 – established Employees IC, 27
- 1997 – Public health insurance Act
- 1998 – reduction of authorities of HIC
- 2000 – system stagnancy, financial troubles
- 2006 – attempts to increase state control

## Numbers of policyholders

**	****Military ****	****	****	****566 500 **
**	****Metallurgical****	****	****	****352 400**
**	****Bank and building employers****	****657 000**
**	****Škoda ****	****	****	****130 800**
**      ****Interior ministry                     1 057 200**
**      ****Miner ́s****	****	****	****363 900 **
**	****Metal - alliance****	****	****348 900**
**	****Czech national****	****	****313 900**

**In comparison with****	****	**

**  ****General  6 535 200**

**   ****Other 3 790 600**

## One – to – one health insurance contract

- Patient and his Health insurance company
- Defininition of health care extend
**Basic**
**Other**

## Neccesary steps to change in the Czech system of public health insurance

- Retain independency of public health insurance system
- Individual health insurance contracts
- Determine
- standards
- accessibility
- -  quality

## Competition  and its use

**Services defined by law – care quaranteed **
**Basic  health **
**      ****insurance program**
**Bonus Program **
**Individual responsibility program**
**Managed Care program**
**Combination and modification**

**Plural system of several health insurance companies**

## Transformation of Health Insurance Companies

- More responsibility
- More possibilities
- More benefits
- Result: more satisfaction of patients

## Individual health insurance contract

**10% voluntary part**
**Competition on clients**
**Products on demand**
**Complementary service**
**Commercial part, direct payment**

**Money follow patient **

**Alternative health insurance programs**
**Compulsory and voluntary part**

## Thank you for your attention

** **_[gajdacek@szpcr.cz](mailto:gajdacek@szpcr.cz)_
# Presentation: 273874

## Research Project #7

- Expand the Collection of
- “Near-Miss” Data to All Modes

## Collection of “Near-Miss” Data

- Definition
- A situation that could have resulted in accidental harm or damage but failed to in the absence of any specific measure designed to prevent it.
- - “Near-Miss” vs. “Unsafe Situation”

- Background

## Collection of “Near-Miss” Data

- Injury Prevention
- In-depth quantitative analysis
- Stronger safety efforts
- Cost-efficiency

- Benefits of Unsafe Situation Reporting

## Collection of “Near-Miss” Data

- Automated data recording systems
- Voluntary self-reporting systems

- Methods of Data Collection

## Collection of “Near-Miss” Data

- Aviation
- Aviation Safety Reporting System (ASRS)
- Near Midair Collision System (NMACS)
- The Confidential Human Factors Incident Reporting Programme (CHIRP)
- The Global Analysis and Information Network (GAIN)

- Existing Data Systems

## Collection of “Near-Miss” Data

- Maritime
**The Nautical Institute International Marine Accident Reporting Scheme (MARS)**
**Safety Incident Management Information System (SIMIS)**
**The International Maritime Information Safety System (IMISS)**
- Rail
**Signal Passed at Danger (SPAD) system**
- Intermodal
**Secutitas**

- Existing Data Systems

## Collection of “Near-Miss” Data

- Study Existing Data Systems
- Identify Potential Benefits and Problems
- Explore Transferability of Reporting
- Improve Cross-Modal Utility of Data
- Improve Data Analysis Process

- Project Goals & Objectives

## Collection of “Near-Miss” Data

- Data Systems Matrix
- Human Factors Taxonomy
- Voluntary Reporting Guidelines
- Automated Methods of Data Collection

- Methodology

## Collection of “Near-Miss” Data

- Background
- Structure
- Program Input
- Data Management
- Program Output

- Data Systems Matrix

## Collection of “Near-Miss” Data

- Purpose
- Classification of causes
- Elements
- Level 1 – specific errors
- Level 2 – predisposing conditions
- Methods
- Intermodal taxonomy - pilot testing

- Human Factors Taxonomy

## Collection of “Near-Miss” Data

- Voluntary participation
- Confidentiality
- Legislative protection & immunity
- Non-regulatory host agency
- Buy-in and support from the community
- Feedback
- Data System Design

- Key Elements in Voluntary Reporting

## Collection of “Near-Miss” Data

- Voluntary Reporting
- Target areas
- Modal participation
- Methods
- Draft guidelines
- Pilot testing
- Final guidelines
- Modal implementation

- Project Approach

## Collection of “Near-Miss” Data

- Automated Reporting
- Technology & Unsafe Situations
- Advantages of Automated Data Collection
- Marine Traffic Patterns Study
- Truck Headway Study

- Project Approach

## Collection of “Near-Miss” Data

- Value of Unsafe Situation Data in Transportation Safety
- (Self-reports + Recorded Data) = Success
- Identification of Contributing Factors
- Trend Analysis
- New Remediation Strategies

- Conclusion
# Presentation: 771270

## SAMHSA Model Programshttp://modelprograms.samhsa.gov1-877-773-8546

## What is a Model Program?

## SAMHSA Model Programs Selection Process

**2) Intervention Fidelity**
**3) Process Evaluation**
**4) Design**
**5) Method of assignment**
**6) Sample size**
**7) Attrition**
**8) Analyses of attrition**
**9) Methods to correct biases**
**10) Outcome Measures – substantive relevance**
**11) Outcome Measures –psychometric properties**
**12) Missing Data**
**13) Treatment of missing data**
**14) Outcome data collection**
**15) Analysis**
**16) Other threats to validity**
***17) Integrity***
***18) Utility***

**SAMHSA Model Programs Selection Process**

## How Many Programs Have Been Reviewed?

**841 submitted**

**791 reviewed**

**How Many Programs Have Been Reviewed?**

**54 Promising**

**53 Effective**

**57 Model**
# Presentation: 180485

## Satellite Data Acquisition System

**Satellite Data Acquisition System**

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

**Seaspace Corporation**

- San Diego, CA

**INNOVATION**
- Low-cost system capable of receiving high data rate transmissions from NASA science satellite missions
**ACCOMPLISHMENTS**
- Developed software and hardware required for 5 meter antenna to receive high data rate X-band transmissions
- Reduced cost of high data rate X-band satellite transmission receivers by a factor of ten
- System capable of receiving data from future NASA missions - Radarsat and EOS missions
**COMMERCIALIZATION**
- 12 systems installed worldwide, revenues of $4.5 million
- Reduced cost is expected to promote several university and commercial installations

**GOVERNMENT/ SCIENCE APPLICATIONS**
- Receiver installations at colleges and universities will promote use of NASA science data
- Used successfully in downloading data from EOS “flagship” mission, TERRA

***Using Radar Images from ERS-1 Satellite, Scripps Institution of ***
***Oceanography was able to Map Permanent Movements  of the ***
***Earth’s Crust Resulting from Recent California Earthquake.***

- 1995 Phase II; NAS8-97041
- NASA/JPL Contact -
- Company Contact - Dr. Kota Prasad

- Jet Propulsion Laboratory
- Success Story #7-019
# Presentation: 781560

## Key Leader Orientation

**Key Leader Orientation**

**1-1**

** **

**Key Leader Orientation**

**1-2**

## What actions and trends among the young people in your communitymotivated you to attend this session?

**Key Leader**** ****Orientation**

**1-3**

- What actions and trends among the young people in your communitymotivated you to attend this session?

**Notes:**
Review flow chart.

## Give community leaders:
an overview of the science-based Communities That Care prevention-planning system
an understanding of how the community can benefit from using this system to guide prevention planning and implementation.

- Give community leaders:
- an overview of the science-based *Communities That Care* prevention-planning system
- an understanding of how the community can benefit from using this system to guide prevention planning and implementation.

**Key Leader**** ****Orientation**

**1-4**

## On completing this orientation, you will be able to:

- explain the *Communities That Care* research foundation
- describe the *Communities That Care* implementation process
- identify how children, families and the community will benefit from this process
- describe your role as a Key Leader
- commit to the *Communities That Care* process, including use of the *Communities That Care Youth Survey*
- plan for the next steps in the *Communities That Care* process.

**Key Leader**** ****Orientation**

**1-5**

## The Research Foundation

**Break**

**Wrap-up and evaluations**

- Benefits and Results

- Setting the Stage

**Key Leader**** ****Orientation **

**1-6**

- The Implementation Process

- Committing to the *Communities That Care* Process

- Next Steps

## 	Everyone gets a chance to speak.

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

**Key Leader**** ****Orientation**

**1-7**

## uses prevention-science research to promote positive youth development and prevent youth behavior problems

- uses prevention-science research to promote positive youth development and prevent youth behavior problems

- provides local control and flexibility to help maintain support for the process

**Key Leader**** ****Orientation**

**1-8**

- matches a local profile of risk and protection to tested, effective policies, programs and practices

- focuses on outcomes to ensure accountability for resources.

## Key Leader Orientation

**Key Leader**** ****Orientation**

**1-9**

**Notes:**
Review flow chart.
# Presentation: 027757

## Decision Tree for Inclusion of Women in Clinical Research 

**YES**

**NO**

**Decision Tree for Inclusion of Women in Clinical Research **
**(not an NIH-Defined Phase III Clinical Trial)**

**YES**

**NO**

- _[Human Subjects](http://grants.nih.gov/grants/peer/tree_glossary.pdf)_** involved ****(even if exempted under 45 CFR 46)?**

*Inclusion policy *
*does not apply*

**Is a **_**NIH-Defined Phase III Clinical Trial**_** proposed?**

**Is gender representation acceptable?**
- 1. Both genders are included in scientifically appropriate numbers? ***(Code G1****)* **or**
- 2. One gender is excluded because one of the following applies ***(Code G2: females only, G3: males only)***
- Inclusion is inappropriate with respect to their health
- Research question is relevant to only one gender
- Prior evidence strongly suggests no gender difference
- Data exists for excluded gender; duplicative studies are unnecessary; **or**
- 3. One gender excluded or limited because subject selection is constrained due to purpose of research? ***(Code G2: females only, G3: males only)**** ***or**
- 4. Gender representation of specimens or datasets cannot be accurately determined **and** this does not compromise the scientific objectives? ***(Code G4: gender representation ******unknown******) ***

**Unacceptable**
***G1U, G2U, G3U, or G4U***
*Negative impact on score*
*Describe: inclusion plan, any gender exclusions, plans for analysis and outreach. *
*State why this is scientifically unacceptable**.*

**Acceptable **
**G1A, G2A, G3A, or G4A**
*Describe: inclusion plan, any gender exclusions, plans for analysis and outreach. State why this is scientifically acceptable**.*

**GO TO: **_** Decision Tree for Inclusion of Women Plan for NIH-Defined Phase III Clinical Trials**_

*Inclusion policy applies despite exemption*

- NIH/OER April 26, 2001

**ABSENT**
**No Information**

**Unacceptable**
**Contact**
**Scientific Review Administrator**
# Presentation: 865651

## PLASMA(Parallel Linear Algebra for Scalable Multicore Architectures)‏

- The Innovative Computing Laboratory
- University of Tennessee Knoxville

## Why Multicore?

*The ILP Wall*

*The Memory Wall*

*The Power Wall*

- ILP is expensive and does not generate much concurrency

- TLP provides higher concurrency

- Power consumption grows with MHz3

- Latency is completely exposed

- Latency can be hidden using multithreading

- Single core

- Multicore

- Power consumption grows linearly with the number of transistors

## Programming for Multicores

- Parallel software for multicores should have two characteristics:
**fine granularity**:
- high parallelism degree is needed
- cores are (and probably will be) associated with relatively small local memories.
**asynchronicity**:
- high parallelism degree make synchronizations a bigger bottleneck
- hide the latency

## Developing Parallel Algorithms

- LAPACK

- Threaded
- BLAS

- PThreads

- OpenMP

- parallelism

- s

- LAPACK

- sequential
- BLAS

- PThreads

- OpenMP

- parallelism

- sequential
- BLAS

## Developing Parallel Algorithms: why?

- BLAS2 operations cannot be efficiently parallelized because they are bandwidth bound.
-  strict synchronizations
-  poor parallelism
-  poor scalability

## Tiled Cholesky Factorization

- In some cases it is possible to use the LAPACK algorithm breaking the elementary operations into tiles.
- Cholesky:

**do DPOTF2 on**
**   ****for all **
**      ****do DTRSM on**
**   ****end**
**   ****for all**
**      ****do DGEMM on **
**   ****end**
**end**

## Tiled LU Factorization

- In many cases different algorithms are needed which must be invented or can be found in literature . LU and QR:

**DTSTRF:**

**DGETRF:**

**DGESSM:**

**DSSSSM:**

## Tiled LU Factorization

- In many cases different algorithms are needed which must be invented or can be found in literature . LU and QR:

## Tiled LU Factorization

**DGETRF**

**k=1, j=2**
**DGESSM**

**k=1, j=3**
**DGESSM**

**k=1, i=2**
**DTSTRF**

**k=1, i=2, j=2**
**DSSSSM**

**k=1, i=2, j=3**
**DSSSSM**

**k=1, i=3**
**DTSTRF**

**k=1, i=3, j=2**
**DSSSSM**

**k=1, i=3, j=3**
**DSSSSM**

## Block Data Layout

- Fine granularity may require novel data formats to overcome the limitations of BLAS on small chunks of data.

- Column-Major

- Block data layout

## Graph Driven Asynchronous Execution

- The whole factorization can be represented as a DAG:
- nodes: tasks that operate on tiles
- edges: dependencies among tasks
- Tasks can be scheduled asynchronously and in any order as long as dependencies are not violated.

**DTSTRF**

**DGETRF**

**DGESSM**

**DSSSSM**

## Graph Driven Asynchronous Execution

- A critical path can be defined as the shortest path that connects all the nodes with the higher number of outgoing edges.

- Priorities:

## Fork-Join vs Asynchronous

- Time

- Idle time

- Fork-Join

- Asynchronous

## Performance: Cholesky

## Performance: QR

## Performance: LU

## Contacts

**http://icl.cs.utk.edu/~buttari**

**http://www-math.cudenver.edu/~langou**

**http://icl.cs.utk.edu/~kurzak**

**http://netlib.org/utk/people/JackDongarra**

**http://icl.cs.utk.edu**
# Presentation: 680716

## BRAHMS Run5 pp Status

- Physics data taking with Spectrometer triggers since April 17th
- DAQ time for the last two weeks (Apr. 21-May 4 8am): 148.2hr (11.1hr/day)
- Main physics goal: single spin transverse asymmetry at high-x
-  - To meet the physics goal: 5pb-1 (delivered) with pol.≥45%
-  - Major setting: FS at 2.3 deg. at fill field setting to sample high-p
- FS spectrometer Trigger efficiency:~65% at 2.3deg high-p setting
-  - Trigger rate: 35/sec at ZDC~500/sec:
-  - Luminosity limited. DAQ will saturate at ZDC~2.5K or more

**BRAHMS Run5 pp Status**

- 0.36 pb-1 recorded since April 17th
- Calculated by min-bias trigger (“CC trigger”)
-  covering ~70% of pp inelastic cross-section
- Goal Assumed: Recorded/Delivered ~0.5
# Presentation: 710844

## SPECIAL PAYROLL                             PROCESSING SYSTEM

- SPPS WEB

**United States Department of Agriculture**
**Office of the Chief Financial Officer**
**National Finance Center**

## SPPS WEB

**Implemented in February 2004**
**Agency training database available**
**Process and maintain manual payments**
**Electronic transmission of AD-343 – Payroll Action Request**
**Reduce number of telephone calls/cost of manual payments**

**United States Department of Agriculture**
**Office of the Chief Financial Officer**
**National Finance Center**

## TASK & ACTIONS TO BE ACCOMPLISHED

**Discontinue processing hard copy AD-343**
**Discontinue use of client server**
**Discontinue processing payments agency can process**
**Discontinue DOTSE-Manlog**
**Discontinue DOTSE-Inquiry**

**United States Department of Agriculture**
**Office of the Chief Financial Officer**
**National Finance Center**

## FUTURE ENHANCEMENTS

**Convert SPPS mainframe**
**Implement credit adjustment**
**Report modifications**
**Specific agency request**

**United States Department of Agriculture**
**Office of the Chief Financial Officer**
**National Finance Center**
# Presentation: 922574

## Slide 1

## Slide 2

## Slide 3

## Slide 4

## Slide 5

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# Presentation: 189605

## “No Great Undertaking Is Ever Done Alone”Summation of Presentation by Walt Dickerson,  Director Mobile County Emergency Management Agency

- Hazard Risk Reduction through Stronger Partnerships and Alliances
- 61st IHC Conference

## Building Strong Partnerships

- Relies heavily on NOAA, NWS and FEMA for partnership
- Building relations with community partners that work with vulnerable citizens. i.e., those with no ways and means to evacuate, those with disabilities, the elderly and those with language barriers
- Establishing a media task force
- Established a religious taskforce
- Building a more direct relationship with USGS and other federal agencies

## Improving Hazard Mitigation

- Improving communications capabilities through the newest technologies
- Understanding the underserved populations needs and concerns and conducting preparedness educations programs.
- Working in partnership to ensure that local community leaders, the media, local and state officials speak with one unified voice
- Conveying to the public that MCEMA federal partners also support all pre-event and post-event efforts to save life and property all citizens in Mobile County

## Every Second Counts and Every Life Is Valuable

- Improvement of communication of all hazards through an advanced telecommunication system for the public
- Reviewing procedures for the implementation of new policy regarding using sirens for emergencies other than chemical spills
# Presentation: 702453

## FEMA – DISASTER ASSISTANCE EMPLOYEE

## Disaster Assistance Employee DAE

- Hiring authority authorized by the Stafford Act (PL93-288 5149)
- Presidential declared emergencies

## DAE – Description & Key Requirements

- Hire authority delegated to regions & hdqtrs
- Only used to perform DAE related work: specific disasters, emergencies, projects, or activities of a non-continuous nature
- Requires SF-52 and supporting documentation for hiring
- Individual must meet qualifications for the position

## DAE – Description & Key Requirements

- Two types of DAE’s
- Local Hire
- 120 day appointment
- May be renewed for additional 120 days
- Salaries set at prevailing local rates
- Reservists – activated when need arises
- On FEMA personnel roles for 24 months
- Expires 9/30 of every even numbered year
- May not exceed 18 months in 24 month period

## DAE – Description & Key Requirements

| Benefits | Reservists | Local Hire |
| --- | --- | --- |
| Paid when actually employed (WAE) | X | X |
| Overtime in excess of 8 hours/day and 40 hr/wk | X | X |
| Travel Pay and Per Diem | X |   |
| Federal Health Benefits, Life Insurance |   |   |
| Annual Leave, Sick Leave, Comp Time, Night Dif |   |   |
| OWCP | X | X |
| Unemployment | maybe | maybe |
| Annuity Offset – waived (must completed form)
Good for first 120 days following disaster | X | X |

## DAE – Description & Key Requirements

| DAE - Reservist Pay Scale2004 |  |  |  |  |  |
| --- | --- | --- | --- | --- | --- |
| Grade | A | B | C | D | E |
| Level |   |   |   |   |   |
| 1 |  $     20,673  |  $     26,001  |  $     39,396  |  $     57,130  |  $     67,938  |
|  |  ph $9.91  |  ph $12.46  |  ph $18.88  |  ph $27.37  |  ph $32.55  |
|  |  OT $14.86  |  OT $18.69  |  OT $28.32  |  OT $28.88  |  OT $32.55  |
| 2 |  $     22,083  |  $     28,980  |  $     43,387  |  $     60,939  |  $     72,465  |
|  | ph $10,58 | ph $13.89 | ph $20.79 | ph 29.20 | ph $34.72 |
|  | OT $15.87 | OT $20.83 | OT 28.88 | OT $29.20 | OT $34.72 |
| 3 |  $     24,014  |  $     32,210  |  $     47,668  |  $     64,747  |  $     76,995  |
|  | ph $11.51 | ph $15.43 | ph $22.84 | ph $31.02 | ph $36.89 |
|  | OT $17.26 | OT $23.15 | OT $28.88 | OT $31.02 | OT $36.89 |
# Presentation: 201899

## Muon Stub Reconstruction

- Paolo Calafiura, LBL

## Muon Reco Strategy (CDF 4062)

- D-Bank creation
- performed by DAQ
- D-Bank contains hit digitized times wrto to beam-crossing (?)
- Hits (E-Bank) creation
- performed by CMU_DtoEModule
- Stubs (S-Bank) creation
- performed by MuonStubModule
- CDFMuon (O-Bank) creation
- performed by MuonLinkModule(?)

## Hit Classes

- MuonHit common ABC
- digicode(which wire and counter)
- simulation info (associated particle)
- unsigned drift distance
- MuonXZHit
- holds Z-positionfrom charge-splitting (CMU, BMU?)
- MuonSignedHits
- used by StubFinder
- sign = side of the wire
- locate itself in global andregional (stack) coords
- holds pointer to MuonHit

## The MuonStub Class

- Event point of view(public)
- A point in space
- A direction
- A collection of associated hits
- Fit quality information
- Stub Finder point of view(private)
- two aspect angles
- A collection of candidate hits
- A helper class for the stub fit

- y

- x

## Stub Finder

- search in wedges with at least 3 hits
- loop over the 4 stacks in a wedge and the 4 layer in a stack looking for a "seed" hit
- search a matching hit two layers up in any stack of the wedge
- draw a segment out of the two hits  and a road around it. If can find one more hit in the road define a candidate stub
- fit candidate stubs and sort them by chiSquare. Take the best and all the remaining ones which have at least one unique hit

## Stub Fit Framework

- Common interface to
- run the fit
- access the results
- Utilities to
- set/fix fit parameters
- interact with the MuonStubclass private interface(friends)
- Multiple fitters possible
- have two
- but only one works...
# Presentation: 723021

## Compliance in IHS

- Janice Chase, RHIT, Compliance Officer,
- Sells Service Unit Privacy Officer,
- Tucson Area Health Information Management Consultant

## Objectives

- Understanding of IHS Compliance, past, present, future
- Acronym Meaning
- Steps of successful compliance plan
- Your role in Compliance

## Why Compliance?

- Indian Health Service _not_ unnoticed
- Healthcare waste, fraud and abuse  affects public and private payers

## COST of Healthcare

- Health Care Expenses Continue to rise
-   $ 1.425 Trillion in 2001
-   $ 2.8 Trillion by 2011
- Retirement of the “Baby Boomers”

## IHS Compliance History

- 1976 mainly *internal* through:
-   Indian Health Manual
-   Budget
-   CHS (Contract Health Service)

## IHS Compliance History

- After 1976 – Indian Health Care Improvement Act
- External Regulators: CMS, OIG, OCR...
- Financial Interest – 3rd Party Payers
- IHS Internal – Indian Health Manual
- Organization Compliance Plans
- Internal Control Policy

## IHS Compliance Emerging

- Beneficiaries/Public are astute and willing to file complaints
- OIG audits increased over the years
- Credentialing
- Cost Reports
- Tribal Contracts
- OIG Workplan includes IHS
- OIG Investigation

## Emerging Compliance

- External/Internal Compliance
- CMS, QIO
- DRA – Medicaid audits
**OIG HIPAA security audit**
- GPRA
- Compliance includes  quality of care: accreditation validation (WFA)
- Compliance Plans

## OIG Compliance Guidelines 

- Policies & Procedures/Standards of Conduct
- Compliance Officer & Committee
- Effective Training and Education
- Effective Lines of Communication
- Enforce Standards – Known Disciplinary Guidelines for *everyone*

## OIG Guidelines con’t

- 6.   Auditing and Monitoring
- 7.   Responding to WFA – Corrective
-      Action Initiatives

## ACRONYMS

- CMS – Center for Medicare & Medicaid Svcs
- DRA – Deficient Reduction Act
- GPRA – Government Performance & Results Act
- HIPAA – Health Ins. Portability & Accountability Act
- OCR – Office of Civil Rights
- OIG – Office of the Inspector General
- QIO – Quality Improvement Organization
- WFA – Waste, Fraud & Abuse

## Summary

- Understand your compliance role
-  DHHS Code of Conduct
-  Professional Code of Conduct
-  Report concerns
-  Attend compliance training

## Summary	

- Report compliance concerns
- Supervisor
- Compliance Officer
- OIG, DHHS, IHS Hotline
- Jan’s Contact Information:
- Work Phone: 520-295-2477
- Email: Janice.Chase@ihs.gov

## Websites

- IHS PIES:
- www.ihs.gov/NonMedicalProrgrams/pies-report-fraud.asp
- OIG: OIG.gov
- AHIMA: AHIMA.org
- AAPC: AAPC.com
# Presentation: 060040

## Only one is needed

***Only one is needed***
- Rosario A. Gerhardt, Georgia Institute of Technology, DMR 0604211

**What do pressure sensitive buttons, **
**bodily armor, light sensitive windows and land and air based communication networks  have in common? They all rely in their ability to  create interconnected paths so that the correct signals or response can reach their destination at the desired time or location. This phenomenon is called percolation.**
**The figure demonstrates that long sticks allow attainment of a connected path much more rapidly than random spherical objects and that only one complete path is needed.**

## Track record of success

***Track record of success***
- Rosario A. Gerhardt,Georgia Institute of Technology, DMR 0604211

- _Pictured from left:_ Kenter Wu (UG-ECE, going to grad school next year), Jacob Waddell (MS-MSE), Lewis Moss (UG-MSE, going to Med school next fall), Laurissa Prystaj (MS- started as UG), Chunqing Peng(PhD-PTFE), Lexi Torres(UG-BME), Cantwell Carson(PhD, transplant from Physics), Ricky Whelchel (UG-will become PhD student next fall), Balaji Rao( NSF-IMI Visiting Scientist from India), Brian Bertram(PhD), Kumar Kelekanjeri(Post.Doc., MSE),Charles Capozzi( PhD- started as NSF-SURF student ‘03)
- _Not pictured_: Shantanu Talapatra (UG-ECE, going to grad school next year), Prof. Gerhardt

**21.4 %**
**Women**

**21.4 % **
**Hispanic**

**21.4 %**
**foreign**

**85.7 %**
**UG researchers**
**go to **
**graduate school  **
# Presentation: 895548

## Tevatron Photon Measurements

- Summary of photon results
- Inclusive photon production
- cross section at 1800 GeV
- cross section at 630 GeV
- Exclusive photon production
- gamma plus gamma
- gamma plus charm

- Robert Blair (ANL) DIS2000 Liverpool

- 29/4/00

## Tevatron Photons

- Robert Blair (ANL) DIS2000 Liverpool

- 29/4/00

## Photon Measurements

- Background Evaluation:
- CDF
- Lateral shower shape goodness of fit (best below 35 GeV)
- Conversion rate in the coil
- D0
- “Early” energy deposition in the electromagnetic calorimeter

- Robert Blair (ANL) DIS2000 Liverpool

- 29/4/00

## Background Subtraction

- CDF
- Goodness of lateral shower fit (broad)
- Count conversions in coil

- Robert Blair (ANL) DIS2000 Liverpool

- 29/4/00

## 1800 GeV Cross Section

- D0
- Fit E1 = energy in first calorimeter section
- two background components (b,c)
- photons (a)

- Robert Blair (ANL) DIS2000 Liverpool

- 29/4/00

## 1800 GeV Cross Section

- CDF

- D0 result

- mass

- Robert Blair (ANL) DIS2000 Liverpool

- 29/4/00

## 1800 GeV Cross Section

- D0

- Robert Blair (ANL) DIS2000 Liverpool

- 29/4/00

## CDF 630 GeV Cross Section

- Robert Blair (ANL) DIS2000 Liverpool

- 29/4/00

## 630 GeV Cross Section

- CDF
- Goodness of lateral shape
- Conversion rate

- Independent methods with different strengths
- Simple “efficiency”

- Robert Blair (ANL) DIS2000 Liverpool

- 29/4/00

## Photon Scaling

- Good agreement with UA2 results

- Some systematic differences with theory (the usual Kt shape)

- Robert Blair (ANL) DIS2000 Liverpool

- 29/4/00

## Jet Scaling

** ****Ratio of Scale Invariant Cross Sections ********d****(630)/********d****(1800)**** ****vs**** x****T**** **

- Taking different renormalizations scales in theory for 630 vs 1800 GeV produces good quantitative agreement between D0 data and NLO QCD

- Mangano proposes an O(3 GeV)non-perturbative shift in jet energy
- (losses out of cone, underlying event, intrinsic kT)
- Could be different for D0 data.

- Robert Blair (ANL) DIS2000 Liverpool

- 29/4/00

## Photon Scaling

- Robert Blair (ANL) DIS2000 Liverpool

- 29/4/00

## Diphotons

- Resummed results are in good agreement with data

- This rightfully serves as a measure of soft emission effects

- Robert Blair (ANL) DIS2000 Liverpool

- 29/4/00

## Photon Plus Muon (c,b)

- CDF

- 1760 events
- mu pt > 4 GeV |eta|<1.0
- 12<gamma pt<40 GeV
- Et (cone .4)<2 GeV

- Robert Blair (ANL) DIS2000 Liverpool

- 29/4/00

## Photon Plus Muon

- NLO calculation by Berger,Bailey and Gordon

- Robert Blair (ANL) DIS2000 Liverpool

- 29/4/00

## Conclusions

- Soft physics (Kt/soft emissions) play a role in many of the photon measurements
- Understanding these would help
- Luminosity (RunII) will help
- All photon measurements will benefit significantly from more events

- Robert Blair (ANL) DIS2000 Liverpool

- 29/4/00
# Presentation: 462032

## Slide 1

## The Hawaiian High is the large high- pressure system that 

- dominates circulation over the subtropical regions of the
- North Pacific Ocean and surrounding regions. When the
- Hawaiian High moves to the north, the west coast of the
- United States experiences drier weather, and vice-versa. The
-  result presented here shows that the Hawaiian High pressure
- system responds to solar activity in a systematic manner when
- we take account of the Quasi-Biennial Oscillation in the zonal
- wind direction in the equatorial stratosphere. When this
-  direction is from the west,  increases in solar activity result in
- northward shifts of the Hawaiian High of up to 2 to3 degrees
- latitude, suggesting a pathway through which  solar changes
- impact west coast weather and climate.
# Presentation: 320226

## Use of GIS at theNorthwest River Forecast CenterPortland, OR

- Steve King
- Hydrologist, NWRFC

## Categories of GIS Use

- Customer Products
- Typically Automated Production
- Posted To Web
- Internal Products
- Analysis Tools
- Maps
- Publications
- Outreach

## GIS Implementation at the NWRFC

- Platforms
- HPUX
- ESRI ArcView 3.1
- Windows XP
- ESRI ArcGIS 9.2
- ESRI ArcView 3.3
- Trained Users
- 1-3 Staff Members with formal GIS training

## Dependence on IHABBS

## GIS Based Customer Products

## QPS Plots (24hr totals, days 1-3)

## Gridded QPS Plots (6hr totals)

## QPS Plots (10days and verification)

## Water Supply Plots

## Gridded Flash Flood Guidance

## Slide 11

## GIS Based Internal Products

## SAC-SMA States Viewer

- GIS used to map current soil-moisture conditions in hydrologic model
- Used to analyze model contents and improve calibrations

## Snow States Viewer

- GIS used to map current snow water conditions in hydrologic model
- Used to analyze model contents and improve calibrations

## GIS Based Analysis Tools

## FLDWAV Calibration

- Cross Sections derived from digital elevation data using GIS

## Dambreak Modeling (St Helens)

## Calibration of DAMBREAK Model(St Helens)

- Cross Sections derived from digital elevation data using GIS

## Snow Compare Page 

## Water Suppy Calibration (regcand)

- Selects** **Stations within user-defined box
- Performs correlation analysis on stations
- CBRFC design based on Open Source software

## Mapping(Publications, Outreach, Media)

## Project Status

## Storm/Flood Report Graphics

## NWRFC Maps Using Maplex

## Improved Labeling Using Maplex

## The End
# Presentation: 437407

## INTERNATIONAL PRESSURE DATA BANK

**INTERNATIONAL PRESSURE DATA BANK**

**Dr Rob Allan, Hadley Centre, Met Office**

## Monthly to synoptic pressure data 

**Monthly to synoptic pressure data **
**Regional Co-ordinators (****confirmed****)**
**Australia:****  ****Janette Lindesay****, School of Resources, Environment and Society, ANU, Canberra (**_[Janette.Lindesay@anu.edu.au](mailto:Janette.Lindesay@anu.edu.au)_**) (**_[http://sres.anu.edu.au/people/lindesayj.html](http://sres.anu.edu.au/people/lindesayj.html)_**) + ****David Jones****, Head of Climate Analysis Section, National Climate Centre,  Bureau  of Meteorology (**_[D.Jones@bom.gov.au](mailto:D.Jones@bom.gov.au)_**)**
**Canada:**** ****Val Swail****, Climate Research Branch, Environment Canada, Ontario (**_[Val.Swail@ec.gc.ca](mailto:Val.Swail@ec.gc.ca)_**)**
**Chile:****  ****Patricio Aceituno****, Departamento de Geofisica, Universidad de Chile, Santiago (**_[aceituno@dgf.uchile.cl](mailto:aceituno@dgf.uchile.cl)_**)**
**China:****  Panmao Zhai/Xukai Zou, The Laboratory of Climate Study of China Meteorological Administration, National Climate Center, Beijing (**_[pmzhai@cma.gov.cn](mailto:pmzhai@cma.gov.cn)_**)**
**Europe:****  ****Rob Allan/Tara Ansell****, Hadley Centre, Met Office, Exeter, UK (**_[rob.allan@metoffice.gov.uk](mailto:rob.allan@metoffice.gov.uk)_**) (**_[tara.ansell@metoffice.gov.uk](mailto:tara.ansell@metoffice.gov.uk)_**) + Albert Klein Tank, KNMI, De Bilt, Netherlands (**_[Albert.Klein.Tank@knmi.nl](mailto:Albert.Klein.Tank@knmi.nl)_**) (**_[http://](http://www.knmi.nl/~kleintan/www/akt_whoami_www.html)__[www.knmi.nl/~kleintan/www/akt_whoami_www.html](http://www.knmi.nl/~kleintan/www/akt_whoami_www.html)_**)**
**Japan:****  Masumi Zaiki, Faculty of Cross-Cultural Studies, Kobe University (**_[zaiko@comp.metro-u.ac.jp](mailto:zaiko@comp.metro-u.ac.jp)_**)**
**Mexico:****  Victor Magana Rueda, Autonomous National University of Mexico, (**_[victormr@servidor.unam.mx](mailto:victormr@servidor.unam.mx)_**)**
**South Africa (southern Africa):****  ****Chris Reason****, Department of Environmental & Geographical Science/Department of Oceanography, University of Cape Town (**_[cjr@egs.uct.ac.za](mailto:cjr@egs.uct.ac.za)_**) + ****Janette Lindesay**** (As above)**
**USA:****  ****Gil Compo****, NOAA/OAR/CDC & CIRES, University of Colorado (**_[Gilbert.P.Compo@noaa.gov](mailto:Gilbert.P.Compo@noaa.gov)_**) (http://www.cdc.noaa.gov/people/gilbert.p.compo) + ****Russ Vose**** (CAB, NCDC, NOAA) (Russell.Vose@noaa.gov)**
**Marine:****  ****Scott Woodruff****, NOAA/OAR/CDC, USA (Scott.D.Woodruff@noaa.gov)**
**Antarctica:****  ****Gareth Marshall****, BAS, UK (gjma@bas.ac.uk)**

## http://www.globe.gov/globe_flash.html

- _[http://www.globe.gov/globe_flash.html](http://www.globe.gov/globe_flash.html)_
# Presentation: 877017

## Adsorption of Charged Polymers

- Michael Rubinstein, University of North Carolina, DMR-0102267

- Molecular dynamics simulation
- of charged polymers

- Charged chains, such as DNA and proteins, belong to the most important class of polymers. Their properties depend on the distribution of small counter-ions. We have performed a molecular dynamics simulation of charged polymers and confirmed the predictions of our analytical theories. [*Macromolecules* **36**, 3399-3410 (2003)]

- AFM micrograph of nanogels
- complexed with DNA

- 	Adsorption of charged polymers onto charged particles as a function of salt concentration and particle charge  was theoretically investigated.
- 	Experiments on DNA binding to charged nanogels confirm the basic theoretical predictions. Nanogel-DNA complexes are utilized as carriers of nucleotides and DNA for antisense and gene delivery [*JACS* **124**, 15198-15207 (2002)].

## Adsorption of Charged Polymers

- Michael Rubinstein, University of North Carolina, DMR-0102267

**Education:**** **
- two undergraduates (T. Wiliams and N. Luhm),
- four graduate students (A. Deshkovski, K. McAllister, D. Shirvanyants and I. LaRue), and seven postdocs (I. Withers, Q. Liao, N. Shusharina, M. Chhajer, P. Andre, Z. Wang and T. Kustanovich) contributed to this work. A. Deshkovski and K. McAllister received their Ph.D in 2001/02.

**Outreach: **we have participated in a number of activities of the Chapel Hill High School Science Club. We helped to organize several field trips of the club, including a trip to the North Carolina Museum of Natural Sciences.

- The hands-on demonstration of
- AFM at the Chapel Hill High School.

- Chapel Hill Science Club at the
- NC Museum of Natural Sciences.

**Polymer Physics Textbook: **
- A new textbook was written by PI in collaboration with R. H. Colby and published by Oxford University Press in the summer 2003.