BEE-spoke-data/govdocs1-by-extension huggingface dataset:
# Presentation: 781960

## AC 25.856-1X

**Thermal/Acoustic Insulation **
**Flame Propagation **
**Test Method Details**

## General:

**Include Metric Units.**
**Sound damping materials?**
**Ducting?**

## Purpose:

_**Applicability:**_
_**Related Regulations & Documents:**_

## Background:

**Define thermal/acoustic insulation materials**
**Rogue sample?**
**Thinnest/thickest  - minimize testing.**

## Test Sample Construction:

**Question on cutting hole in film.**
**Tape unclear - # of questions.**
**Figures need improving**
**Need to say three strips.**
**Double sided tape?  How?**
**OEM should test as installed?**

## 3. Hook & Loop.

**	****1. All or only on insulation?**
**	****2. Need tolerances.**
**	****3. Adjusting height may change heat flux.**
**	****4. Show in frame.**
**	****5. How many tests?**
**	****6. Mated?  - Unmated?**
**	****7. With each cover?**

## 4. Retaining frame size?

**	****1. Diagram not clear needs dimensions?**
**	****2. How to test layered entities?**

## Test Conduct Considerations:

**1. ****Test Melting vs. Burning unclear.**

## Applicability to Certain 

_**Materials & Installations:**_

**Heater tape?**
**What about in occupied compartment?**
**What determines inside fuselage?**
**Def. Of thermal/acoustic insulation?**
**Size of small parts?**
**Testing with substrate when glued on.**

## Other:

**How will FAA ensure lab repeatability?**
**Are there DER’S**
# Presentation: 171281

## Innovation Markets Analysis:When Should This Tool Come Out of the Shed?

- Presented at the Panel on Non-Price Competition/Innovation
- Workshop on Merger Enforcement
- Federal Trade Commission
- February 18, 2004
- Steven C. Sunshine
- Jonathan M. Lave

## Overview

***Innovation is an important dimension of rivalry and engine of progress.***
***Predictions of a merger’s effect on innovation output are uncertain.***
***Legal and economic issues require showing of probable effect on output.***
**Genzyme: example of insufficient evidence of effect?**
***Practical application may be infrequent and more likely in certain industries.***

## Innovation markets are not easy to define with confidence

***Sources of innovation are difficult to identify***
***Strength and significance of population of innovators are unclear***
***Type of innovation may be relevant to confidence in market boundaries***

## Predicting competitive effects requires an assessment of merger’s effect on innovation and output

***Structure as a means of predicting performance***
**Who is right, Schumpeter or Arrow?**
**The problem and necessity of case-specific evidence**
***Innovation efforts and incentives***
**Incremental v. revolutionary**
**Nature of competition between innovations**
***Confidence that the reduction in innovation will lead to an output effect***
***Is the effect outweighed by innovation efficiencies?***

## Enough about economics.  What about the law?

***Does Section 7’s focus on “line of commerce” of commerce doom innovation analysis?***
***Can a plaintiff prove a nonspeculative effect in a reasonable amount of time?***
***Burdens and do they really matter?***
**Burden of proof always on plaintiff**
***PNB/Baker Hughes*****, burdens of production, and the *****prima facie *****case**

## Problems of the investigator

***Investigator has a duty to evaluate proposed transactions.  If innovation is a key dimension of competition, then the investigator must deal with it.***
***The law – with the state of economic theory – requires the investigator to prove all aspects of the case, including:***
**the innovation space in which the diminution will occur**
**the merger’s likely effect on innovation**
**the manner in which output will be reduced**
**when the output effect will be felt**
***The importance of empirical evidence from the merging parties and the market cannot be overstated.***

## Suggested mode of analysis

***Is innovation an important dimension of rivalry?***
***Will innovation affect existing product market in a reasonable amount of time?***
**competitive effects in a goods market**
**potential competition**
***Can the boundaries of the innovation market be determined?***

## Suggested mode of analysis (cont.)

***Does the merger lessen incentives to innovate?***
**nature of competition between merging parties**
**nature of other downstream competition**
**efficiency analysis**
***Can harm to an output market be demonstrated?***
**future goods markets**
**future improvements to existing goods**
# Presentation: 534413

## Liquid Argon in Large Tank--- Some Thermodynamic calculationsZhijing TangNovember 4, 2004

## Questions 

- Heat leak
- Heat leak from chimney
- Convection flow
- Temperature distribution
- Force on wire
- Flow from surface downward

## Liquid Argon in Big Tank

- Diameter 40 m, Height 30 m, Volume 37699 m3.
- Heat leak cause evaporation of 0.05% per day.
- Properties of liquid argon
- Density **= 1393 kg/m3
- Boiling point *T*B = 87.3 K
- Latent heat of evaporation *h*B* *= 161 kJ/kg
- Viscosity **= 0.26e-3 N-s/m2
- Thermal conductivity *k *= 128 w/m-K
- Heat capacity *c *= 1117 J/kg-K
- Temperature coefficient of density **= -6.19 kg/m3-K

## Heat Leak

- Evaporation 0.05%(37699) = 18.85 m3/day = 0.218e-3m3/s
- (0.218e-3 m3/s)(1393 kg/m3)(161e3 J/kg) = 48930 w
- Assume all evaporation occurs at surface
- Surface temperature = *T*B = 87.3 K
- Assume all leak through bottom and side
- Bottom surface 1257 m2
- Side surface 3770 m2
- Heat leak *q = *48930/(1257+3770) = 9.734 w/m2

## Heat Leak Through Chimney

- Neglect Convection
- Thermal conductance R=kA/L
**SS tube R****1**** = 0.1967 W/K**
**Argon gas R****2**** = 2.6e-3 W/K**
**R****1**** >> R****2**
**R****1**** + R****2 ****= 0.1993 W/K**
******T = 283 - 88 = 195 K**
**Heat leak = 39 W**
- Compare with 48930 w (0.08%)

## Finite Element Model

## Finite Element Model

## From finite element model results we have following conclusions:	The convection flow is quite significant, with maximum velocity of more than 8 cm/s.	The temperature in the tank is quite uniform, with the maximum temperature difference of 0.04 K.

## Dragging Force

## Displacement of wire

## Flow from surface downward

## Vertical Flow
# Presentation: 423431

## NGA Direct Assessment Projects

- Debbie DiMeo, Director, Plans and Operations
- Northeast Gas Association
- OPS ECDA Public Meeting November 4, 2003

- ddimeo@northeastgas.org

## NGA Phase 1 ECDA Validation Complete

- Began work in 4/02: Prove the ECDA process works and show that it’s a valid integrity assessment technique.
- 9 NYS LDC companies and NY PSC
- ~20 miles of pipe
- 66 excavations
- 43 indications
- 23 controls
- Results reported 4/03

## NGA Phase 1 ECDA Statistical Analysis

- ECDA quantitatively verified to detect coating flaws and corrosion damage
- Indications and controls differ (95% CI)
- P(damage) at indication 98%
- P(damage)/P(control) = 300/1
- POD for coating flaws f(bare area)
- 35% for <1in2 and 100% >6in2

## NGA Phase 2 DA ProjectInitiated

- Effort initiated April 2003
- Additional ECDA to support validation
- 60 miles
- 12 companies participating: 8 NYS; 4 o/s NYS
- Develop ECDA methods for special areas
- Cased crossings
- Uncased crossings
- Bare pipe
- Stray current
- ICDA demonstration

##  Phase 1 and 2 Participants

- Nine NYS LDC NGA members participated in Ph 1 DA Validation Project:
**KeySpan****	****	****	****Central Hudson**
**National Fuel****	****	****St. Lawrence Gas**
**NYS Electric & Gas****	****	****Consolidated Edison**
**Niagara Mohawk****	****	****Orange & Rockland**
**Rochester Gas & Electric**
- Twelve LDCs participating in Ph 2 DA Project:
**KeySpan****	****	****	****Central Hudson**
**National Fuel****	****	****Enbridge/St. Lawrence Gas**
**NYS Electric & Gas****	****	****Consolidated Edison**
**Niagara Mohawk****	****	****Orange & Rockland**
**Rochester Gas & Electric****	****PECO**
**Questar****	****	****	****Public Service Electric & Gas**

## NGA DA 

- More info (_[www.northeastgas.org](http://www.northeastgas.org/)_)
- Debbie DiMeo (_[ddimeo@northeastgas.org](mailto:ddimeo@northeastgas.org)__)_
- Vincent Sottile (vsottile@keyspanenergy.com)
- Oliver Moghissi (omoghissi@cctechnologies.com)
# Presentation: 074248

## Biological Data Integration 

- July 22, 2003
- GTL Data and Tools Workshop
- Gaithersburg, MD
- Cathy H. Wu, Ph.D.
- Professor of Biochemistry & Molecular Biology
- Director, Protein Information Resource
- Georgetown University Medical Center

## Propionyl-CoA Metabolism

- AdoCbl

- AdoCbl

- supports AdoCbl-dependent diol/glycerol dehydratases (EC 4.2.1.28) (*Salmonella* PduO is experimentally characterized, many predicted to support the same enzyme based on gene context)

- AF1290
- (EC2.5.1.17)

- AF1288
- (EC5.4.99.2)

- In *Archaeoglobus fulgidus*, AF1290 gene (SF015651 member) co-occurs with methylmalonyl CoA mutase (EC 5.4.99.2) gene

- Leads to prediction that ATR of the PduO type can support AdoCbl-dependent methylmalonyl CoA mutase, therefore corresponds to the cblB complementation group of the methylmalonic aciduria disorder

- Prediction is  experimentally verified, human ATR cloned by complementation of ATR-deficiend *Salmonella* mutant

- AdoCbl

**2.5.1.17**

- Propanediol Utilization

- AdoCbl Cofactor
- Biosynthesis

- Three types of ATR (EC 2.5.1.17):
**PduO type (SF036411, SF015651)**
- EutT type (SF012294)
- CobA type (SF015617)

## Bioinformatics System Requirements for Function and Pathway Discovery

*Data Integration*: coupling homology search results with integrative biology information (genome context, protein fusions, phylogenetic profiles, pathways, protein interactions, complexes, gene/protein expression)
*Associative Analysis*: associating complete genomes with phylogenies, pathways, and networks
*Evidence Attribution*: attributing sources and strengths of evidence
*User Interactivity*: allowing interactive, iterative, and custom-tailored analyses

## Biological Data Integration

- Challenge
- Voluminous, Complex, Dynamic, Heterogeneous, Distributed
- Issues
- Nomenclature and Ontology
- Distribution Formats
- Annotation Errors and Error Propagation
- Approaches (UniProt/iProClass)
- Standardized Nomenclature (Protein Names)
- Controlled Vocabulary (Features, Keywords)
- Accepted Nomenclature/Ontologies (EC, GO, NCBI Taxonomy)
- Common Distribution Formats (XML/DTD, MySQL/DB Schema, Object Models)
- Evidence Attribution
- Family Classification and Rule-Based Annotation

## Evidence Attribution
Sources and Strengths of Evidence
Experimentally Verified vs. Computationally Predicted 
Retrospective Literature Survey

Classification-Driven, Rule-Based Annotation
Systematic Detection and Correction of Annotation Errors
Consistent Annotation of Protein Names, Features, Keywords/GO Terms

- Sources and Strengths of Evidence
- Experimentally Verified vs. Computationally Predicted
- Retrospective Literature Survey
- Classification-Driven, Rule-Based Annotation
- Systematic Detection and Correction of Annotation Errors
- Consistent Annotation of Protein Names, Features, Keywords/GO Terms
# Presentation: 714895

## Suspicious Activity Report Filing Trend for the State of Georgia                                                                                       For the Period April 1, 1996 through December 31, 2007

**Suspicious Activity Report Filing Trend for the State of Georgia                                                                                       For the Period April 1, 1996 through December 31, 2007**

***Total SARs: 64,371***

## Characterizations of Suspicious Activity for the State of Georgia

- Note:  The pie chart represents the top nine characterizations plus additional characterizations in total.
-            An individual SAR may cite more than one characterization.  Hence, the number of characterizations detailed here significantly exceeds the total number of SARs.

**Characterizations of Suspicious Activity for the State of Georgia**
**For the Period April 1, 1996 through December 31, 2007**

## Georgia Mortgage Loan Fraud SAR Filing Trend For the period April 1, 1996 through December 31, 2007

***Total SARs: 9,305***

- Note:  Suspicious Activity Report statistical data is continuously updated as additional reports are filed and processed.  For this reason, there may be minor discrepancies between the statistical figures contained in this report and those in previous FinCEN reports.  Annual numbers for this exhibit are calculated by ***Subject Address*** and not filer address; therefore, the annual totals appearing in the above graph do not match those in Section 1, Exhibit 8 (Characterization of Suspicious Activity by State & Territory by Year).

## Suspicious Activity Report Geographic Pattern for the State of Georgia

**Suspicious Activity Report Geographic Pattern for the State of Georgia**
**For the Period January 1, 2006 through December 31, 2006**

## Suspicious Activity Report Geographic Pattern for the State of Georgia

**Suspicious Activity Report Geographic Pattern for the State of Georgia**
**For the Period January 1, 2007 through December 31, 2007**
# Presentation: 577793

## Antibiotic Resistance: Incentives for Antimicrobial Development

- Mark J Goldberger MD MPH
- CDER/FDA

## Current situation

- Problem:
- Antibiotic resistance is increasing
- Solutions:
- Facilitate development of antimicrobial therapy for resistance and related claims
- Preserve usefulness of current and new drugs

## Issues in Development

- Regulatory/clinical trial
- Scientific/medical
- Economic

## Regulatory Tools

- Early Guidance
- Formal and informal communication
- Advisory committee input
- Subparts “E” & “H”
- Fast Track designation
- Exclusivity

## Clinical Trial Issues

- Reduce the size of the clinical trial program
- Address the tradeoff between our ability to assess effectiveness and the resources required to perform a trial.
- Substituting quality for quantity in at least some clinical studies
- Strengthening the link to clinical inference
- How studies and data fit together as a package

## Consequences of the Preceding

- Serious illness = Expedited development
- Expedited development = Reduced costs
- Does expedited development = Less certainty re benefit and risk?
- Consequences of uncertainty

## Scientific Issues

- Validation of surrogates
- The use of pre-clinical and early clinical trial data in combination with clinical trial data
- The role of infections due to susceptible organisms in the study of drugs for resistance claims
- Enhancing early discovery

## Slide 8

## Economic Incentives

- Exclusivity
- Orphan Drugs: Seven years marketing exclusivity
- Waxman-Hatch: Now available for “new” antibiotics
- Pediatric Exclusivity: Six additional months added on to existing exclusivity

## Slide 10

## Other Potential Economic Incentives

- Expanding eligibility for orphan designation
- Bioshield like purchase arrangements
- “Wildcard Exclusivity”
- Other exclusivity or enhanced patent protection

## Economic Downside to Antimicrobial Development

- Short course Rx
- Highly effective Rx
- Need is greatest for resistant and related infections: Market is most attractive for infections in the primary care setting
- Contrast with HIV Rx

## An Unresolved Dilemma

- There is a basic tension between encouraging antimicrobial development and preserving the usefulness of current and new drugs
- Absent sufficient balance between these activities, adequate investment may not occur or the benefits of such investment may be short-lived

## Limits of our Authority

- We can’t develop a drug
- New types of exclusivity/patent protection would  require new legislation
- Reminder: Promotional claims derive from statements in labeling
# Presentation: 042979

## The Role of the Mission Safety Officer

- Developed as part of the National Emergency Services Curriculum Project

## What does the MSO do?

- Conducts Safety Inspections

- Updates the Incident Commander on current or expected Safety Issues
- Develops plans for safe operations
- Briefs Mission Staff on Safety Issues
- Mishap Reporting & Handling

## Safety Inspections

- Facilities
- Emergency Numbers Posted
- Evacuation Plans
- Hazards marked and fixed if possible

- Vehicles
- Safe Working Condition
- Operator prepared and familiar with vehicle

## Safety Inspections

- Aircraft
- Safe Working Condition
- Crew prepared and familiar with aircraft

- Personnel
- Adequate crew rest
- Adequate equipment for tasks assigned
- Understood mission briefings
- Don’t forget about visitors

## Updating the Mission Coordinator

- Don’t be afraid to bring safety issues to the attention of the mission staff, and ultimately the Incident Commander

- If you can handle it yourself, and it won’t interfere with operations, go ahead and do it
- Realize that you may not be able to cover everything, but with practice and prior planning you will have safer operations in the long run

## Safety Plans

- Make sure that all mission personnel know the risks that they could be exposed to like:
- Runways in need of repair
- Winds
- Refueling procedures

- Develop and coordinate a written and posted plan for dealing with major safety issues.
- Incorporate into the overall Incident Action Plan

## Brief Safety Issues to Mission Staff

- Safety briefings daily or at the beginning of operational periods is a good idea
- Tells everyone who the Safety Officer is
- Reinforces individual or crew briefings

- Make it positive, upbeat, and quick
- Enthusiasm helps
- Hit the major issues (Crew rest, danger areas,...)
- Don’t hold the crews up any longer than necessary

## Reporting & Handling Mishaps

- Have CAPFs 78 and 79 on hand

- Follow guidance in CAPR 62-1 and 62-2 for reporting and investigating accidents
- Don’t start formal investigation without prior coordination with HQ CAP/GC
- Major incidents or accidents will normally be formally investigated by the HQ CAP and HQ CAP-USAF Safety Officers in conjunction with the NTSB

## Reporting & Handling Mishaps Continued

- Don’t release names of parties involved without prior permission from the Incident Commander or Information Officer.

## Mission Safety Officer Tasks

- C-0001	Mission Safety Inspection
- C-0002	Analyze Safety of Mission Operations
- C-0003	Conduct Ground Team Safety Briefing
- C-0004	Conduct Aircrew Safety Briefing
- C-0005	Reporting & Handling Mishaps 			Involving CAP Personnel

## Mission Safety Officer Tasks Continued

- C-0006	Preparing Safety Guidance For Non-		participants
- C-0007	Monitor Crew Rest, Fatigue, And Stress
- P-1001	Develop Aircraft & Ground Operations 	Safety Plan
- L-0101	Inspect A Vehicle
- L-0102	Inspect An Aircraft

## QUESTIONS?

**THINK SAFETY**
# Presentation: 717520

## STATE ENERGY CONSERVATION OFFICE

**S****TATE ****E****NERGY ****C****ONSERVATION ****O****FFICE**

- Perry Been
- Deputy Director

- Air Innovations Conference

- Chicago, IL

- August 10-12, 2004

## Senate Bill 5, 77th Legislature, Regular Session

- a.k.a. Texas Emissions Reduction Plan

- Health and Safety Code, Subtitle C, Title 5

## Section 388.005

-   Each political subdivision shall implement _all_
-      cost-effective energy efficiency measures

-   Each political subdivision shall establish a
-      goal to reduce electricity consumption by
-      5% each year for 5 years

-   A political subdivision shall report annually
-      to the State Energy Conservation Office
-      regarding their efforts and progress

## Non-attainment and Affected Counties

## TEXAS ENERGY PARTNERSHIP

- SECO

- DOE

- EPA

**SB5**

## LoanSTAR

**Financing mechanism for funding energy efficient retrofits  for state agencies, public schools, county hospitals, and local government.  Program’s revolving loan mechanism allows borrowers to repay loans through the stream of cost savings realized from the projects.**

- (Saving Taxes and Resources)

## LoanSTAR

-   Fund Balance:

- $103M+  ($95M mandated)

-   Interest Rate:

- 3% Fixed

-   Repayment:

- 10 Year Maximum

-   Maximum Loan:

- $5M

- Basics

## LoanSTAR

- Benefits

-   Low interest rate – 3%

-   Repayment delayed until end of construction

-   SECO pays for 3rd party energy assessment review,

- design review, and construction monitoring

## LoanSTAR

- Results

-   165 loans totaling $198M

-   $140M cumulative savings

-   $13M annual savings

-   0 defaulted loans

## Slide 10

## State Energy Conservation Office

-     111 E. 17th St.
- Austin, Texas 78701

- Phone: (512) 463-1931
- Fax: (512) 475-2569

- www.seco.cpa.state.tx.us
# Presentation: 114764

## Process Management & Monitoring WG

- Quarterly Report
- February 24, 2003

## Components

- Process Management
- Process Manager
- Checkpoint Manager
- Monitoring
- Job Monitor
- System/Node Monitors
- Meta Monitoring
- Data Migration

- PMWG Quarterly Report

- February 24, 2003

## “Next Steps” From October 2002

- Prototyping will inevitably continue
- Interfaces will continue to stabilize
- Checkpoint Manager
- Process Manager
- Monitors
- Monitoring data...
- Now have a framework started

- PMWG Quarterly Report

- February 24, 2003

## Group Progress

- Successful demo(s) at SC2002
- Continued development on all three components – moving beyond just “prototypes”

- PMWG Quarterly Report

- February 24, 2003

## Component Progress

- Checkpoint Manager (LBNL)
- Process Manager (ANL)
- Monitoring (NCSA)

- PMWG Quarterly Report

- February 24, 2003

## Checkpoint ManagerWork at LBNL

- C/R of MPI jobs demonstrated at SC2002...
- Checkpoint of multi-node jobs (NPB/BT)
- Restart following reboot
- Restart following migration
- Restarts run to completion, verifying result
- ... resulting in greatly increased visibility

- PMWG Quarterly Report

- February 24, 2003

## Checkpoint ManagerWork at LBNL

- Preparation for beta code release
- Paperwork and red tape
- Use autoconf, automake and libtool
- Testing on every configuration we have
- Still need documentation work

- PMWG Quarterly Report

- February 24, 2003

## Checkpoint ManagerWork at LBNL

- Prepared to show operation “at scale” at this meeting
- LAM team has significantly improved potential scalability of their algorithms
- GNU tools did their part flawlessly
- Trouble chasing the LAM/MPI CVS tree without any “stable” tags
- Fixed SMP-related problem in LBNL code that was only reproducible on Chiba

- PMWG Quarterly Report

- February 24, 2003

## Checkpoint ManagerWork at LBNL

- XML interface work
- “White board” of interface ideas
- Will have somebody to actually *implement* them next month
- Hoping to have “something” done in time for the March review
*Will* have interface specification (draft) in time for May deliverable date

- PMWG Quarterly Report

- February 24, 2003

## Process ManagerWork at ANL

- Rusty Lusk...

- PMWG Quarterly Report

- February 24, 2003

## MonitoringWork at NCSA

- Mike Showerman...

- PMWG Quarterly Report

- February 24, 2003

## Next Steps

- “At scale” demo for next month’s review
- Finalize the XML interfaces by May?

- PMWG Quarterly Report

- February 24, 2003
# Presentation: 269786

## Vendor Table Clean Up and Electronic Funds Transfer

- USDA Financial Management Training

## Debt Collection Improvement Act (1/2) 

- Requires Electronic Funds Transfer (EFT) for most Federal Payments
- Definition of EFT
- Automated Clearing House (ACH)
- Fedwire
- Credit Card
- Debit Card

## Debt Collection Improvement Act (2/2)

- 31 CFR Part 208, “Management of Agency Disbursements,” 9/25/98, establishes:
- Waivers
- Account Requirements
- Agency Requirements
- Withholding Payments
- Electronic Transfer Account (ETA)

## Waivers for Individuals

- Where an individual determines that EFT would impose a hardship due to
- Physical or mental disability,
- Geographic, language, or literacy barrier, or
- Financial hardship

## Waivers for All Recipients (1/3)

- Where the political, financial, or communications infrastructure does not support payment by EFT in a foreign country;
- Where payment is to a recipient within an area designated by the President or an authorized agency administrator as a disaster area;

## Waivers for All Recipients (2/3)

- Where paying by EFT would jeopardize military or law enforcement operation or national security interests;
- Where an agency’s need for goods and services is of such unusual and compelling urgency that the Government would be seriously injured unless payment is made by a method other than EFT;

## Waivers for All Recipients (3/3)

- Where the agency does not expect more than one EFT payment within one year; or
- Where there is only one source of goods or services and the Government would be seriously injured unless payment is made by a method other than EFT.

## AgencyResponsibilities (1/2)

- Notify eligible recipients of the requirements and ask for financial account information.
- Disclose to newly eligible individual recipients the individual’s rights and options.

## AgencyResponsibilities (2/2)

- Put in place procedures that allow individual recipients to elect a hardship waiver in writing or orally.
- Put in place procedures for agency to determine waivers not available to individual recipients under Waivers for All Recipients.

## USDA vs. GovernmentwideVendor EFT Rates

| Treasury Disbursed Vendor Payment Volumes |  |  |  |
| --- | --- | --- | --- |
| January 2004 |  |  |  |
|  | Total Vendor Payments | Number of EFT Payments | Percentage EFT Payments |
| USDA | 53,689 | 19,235 | 35.8% |
| Jan. Gov’t Total | 1,644,602 | 1,078,966 | 65.6% |
| FY Gov’t Total | 6,858,874 | 4,475,219 | 65.2% |

## Contact Information

- Dale Theurer (202) 720-1167
- 	Dale.Theurer@usda.gov
- Aaron Prose (202) 720-1558
- 	Aaron.Prose@usda.gov
# Presentation: 665445

## Longitudinal Structure of Extracted p’s

- Four 2.5 MHz Bunches
- 7-11 53 MHz Bunches per 2.5 MHz Bunch

- S. Werkema

- 9/26/2002

## Present Analysis- First 2.5 MHz Bunch Only

- Yellow Envelope:
- Parabolic fit to 53 MHz peaks

- S. Werkema

- 9/26/2002

## Coming Soon – 4 Bunch Analysis

- S. Werkema

- 9/26/2002

## Single 53 MHz Bunch

- _LeCalcTest_:
- Windows program that performs detailed analysis on *****p* bunch structure.

- S. Werkema

- 9/26/2002

## >>> None of these give 95% emittances

***>>> None of these give 95% emittances***

- S. Werkema

- 9/26/2002

## The sum of 53 MHz emittances gives the best longitudinal emittance estimate

- S. Werkema

- 9/26/2002

## Things that go wrong:

- S. Werkema

- 9/26/2002
# Presentation: 064612

## Red Urchin Data

- 5 Islands
- 16 Sites

- 20 2m^2 quadrats/site

## Red Urchin Data

- Quadrats randomly selected each time along permanent transect?
- Site is the unit that is repeated over time?
- Complete counts?
- Sampled population relative to target population?

## Generalized Additive Models

- Variety of “smoothing” procedures exist
- LOESS
- Splines
- Many are variations on theme of fitting smooth curve through time series, with amount of smoothness varying due to number of parameters

## Chimney Swift, Alabama BBS route 20

## Generalized Additive Models

- Extend “smoothing” procedures into modeling framework
- Observer covariates in BBS analysis
- Site effects, strata
- Semiparametric LOESS incorporated into BBS analysis
- Route-specific trends
- Regional analysis in the route-regression

## Semiparametric LOESS With Observer Effects

## Generalized Additive Models and NPS Survey Data

- Log(μit) = αi + s(t)
- Expected count depends on site effects and the “smooth” s(t)
- Extremes of these are GLM’s
- Poisson regression s(t) = β
- Year effects model s(t) = βt
- Amount of smooth depends on smooth-specific parameter
- Loess: f
- Splines: df (piecewise cubic polynomials)

## Use Programs Developed for Statistical Package “R”

- Rachel Fewster et al. provided code
- _[http://dolphin.mcs.st-and.ac.uk/~rachel/gams/R/](http://dolphin.mcs.st-and.ac.uk/~rachel/gams/R/)_
- Ecology 81:1970-1984
- Allow covariates
- Summarize time series as ratio of predicted abundance at year t to that of year 1
- Estimate “Change Points”
- 2nd derivatives of curve
- Bootstrapped Confidence Intervals

## Apply Generalized Additive Model To Red Urchins

- Site means (totals) over time within islands
- Smoothed curve results
- Read “trend” from trajectory, CI
- Change is (It – 1)*100
- Changepoints
- Graphical Outputs

## All Islands, Urchin Data

- “Trend” is relative to first year
- Positive change = °  negative change = •

## Anacapa Island Urchins

## Santa Barbara Sea Urchins

## Santa Cruz Sea Urchins

## San Miguel Urchins

## Santa Rosa Sea Urchins

## Vegetation Monitoring Data

- Southeast Utah Park (e.g., Canyonlands [Island in the Sky, Maze, and Needles], Arches, Natural Bridges, Hovenweep).
* *Blackbrush *Coleogyne ramosissima*
-   Site means for 1987-2001

## % Cover, all parks..indexed overall

## Arches

## Islands in the Sky

## Canyonlands [Maze and Needles], Natural Bridges
# Presentation: 215685

## ESSENTIAL CONCEPTS OF ENFORCEMENT:

**Classification**
**Pay**
**Overtime**
**Laborers vs Mechanics**

## Pay workers once per week

- A work week consists of 7 consecutive days
- Once begun, do not change the weekly cycle
- (Sun-Mon, Wed-Tue, etc.)

- Pay wage rates at or above those on wage decision for class of work performed
- For projects subject to CWHSSA (or FLSA) pay at least 11⁄2 times regular rate of pay for all hours worked over 40 hours per week
- Post the wage decision

## DAVIS-BACON DEFINITIONSLaborer or Mechanic?

- Laborers & Mechanics mean anyone who is performing construction work on the project
- Supervisors are covered if they spend 20% or more of their time performing manual work
- Every person who performs work is considered “employed” regardless of any contractual relationship

## Who is “Employed?”

- Every person who performs work is considered “employed” regardless of any contractual relationship

## SPLIT CLASSIFICATIONS

- An employee performing work in more than one classification may be paid the wage rate specified for each classification only if accurate time records are kept.  Otherwise, pay the employee the highest wage rate of the applicable classifications

## APPRENTICES & TRAINEES

- Only apprentices & trainees registered in an approved program may be paid less than the wage rate specified for their work classification
- “Approved program” means a program registered with the State Apprenticeship Agency 

## APPRENTICES & TRAINEES

- Ratio requirements apply, re: the maximum number of apprentices that may be on the job site
- Pre-apprentices not registered in a program must be paid the full journeyman rate for the classification of work they perform

## PIECE WORK

- Convert to hourly wage rate
- Total weekly wages  hours worked = effective hourly wage rate
- It is important that contractors keep good records of hours worked

## FRINGE BENEFITS

- Can include employer contributions to health insurance premiums, retirement contributions, life insurance, vacation, etc.
- Bona fide funded plans:  common to the industry, paid directly in cash or into a fund, plan, or program on the employee’s behalf 

## FRINGE BENEFITS

- Does not include employer payments required by Federal, state or local law
- Unfunded plans - i.e. Kaiser dental, 401 K plans, etc.  Discuss hour conversion rates
- Contractor must identify on certified payroll whether fringe benefits are, or are not paid

## OVERTIME

- Hours worked over 40 per week
- Applies to hours worked on the covered project
- Paid at 11⁄2 times the regular rate of basic pay plus the straight-time rate of fringe benefits

## DEDUCTIONS

- Those deemed permissible by 29 CFR Part 3
- Contractor’s Documentation
# Presentation: 752532

## United States Renal Data System (USRDS)

**United States Renal Data System (USRDS)**

-  NIDDK

-  DKUHD

- Project Officer

- Executive
- Committee

- Data Request
- Review Committee

- Biomedical Scientific
- Advisory Committee
- (BSAC)

- Coordinating
- Center

- Renal
- Community
- Council

- Special Study
- Subcommittees

-  HCFA

- Economic Scientific
- Advisory Committee
- (ESAC)

- Special Studies Review
- & Implementation
- Committee

## Overall Structure of the USRDS Database

- Patient
- Characteristics
- (821,000 Patients)

- Dialysis Claims
- (17.7 million)

- Master ESRD
- Provider Records
- (3,738)

- Annual Facility
- Surveys
- (32,800)

- Transplant
- Reports
- (159,000)

- Transplant Followup Reports
- (633,000)

**Updated as of**
**January, 1998**

- USRDS
- Special Studies
- (35,000)

- Treatment History
- (2.6 million)

- Residence
- (1.2 million records)

- Hospital Claims
- (4.9 million)

- Oupatient Claims
- (16.9 million)

- Other Insitutional Claims
- (7.9 million)

- Physician/ Supplier Claims
- (246 million)

## Usage of the USRDS World Wide WebJune 1996 - February 1998*

**Usage of the USRDS World Wide Web****June 1996 - February 1998***

**Month**

**WWW Sessions**

**Total Bytes**

**ADR Bytes**

***Full ADR Became Available **
** ****September 1996**

**Reference Table Bytes**

**Other Bytes**

**Estimated Monthly WWW Sessions**

**Millions of Bytes Downloaded per Month**

## Data Requests Processed 1989-97

**Year**

## Researcher Requests for USRDS Patient Level Data Files and CDs Supplied, 1992-97

**Researcher Requests for USRDS Patient Level Data Files ****and CDs Supplied, 1992-97**

**# Requests**

**Requests**

**# CDs**

**CDs**
# Presentation: 719955

## Session  2

- Hispanic Serving Institutions
- Open Forum
- Joel V. Harrell, Director
- Special Initiative Service

## Who are we?

- Within the school services and training channel, the special initiative service unit strives to proactively identify the unique service needs of Hispanic serving institutions, historically black college and universities, and tribally controlled colleges.

## Examples of Services Provided

- Technical assistance in programmatic and administrative areas
- Provide customized training that is developed to meet the unique needs of the institution
- Assists institutions in performing on/off campus assessments and if warranted, the development of corrective action plans

## Basic Guiding Principles of Assistance

- We are here to help!
- We are not program reviewers or auditors
- Our emphasis is self initiated institutional improvement

**     **

## Special Initiative Service

- We appreciate your feedback and comments.
- We can be reached at:
- Phone: 404-562-6295
- Fax:     404-562-6283
- Email:  joel.harrell@ed.gov
# Presentation: 695662

## D0 Computing Model and Plans 

**Amber Boehnlein**
**DO International Financial Committee**
**April 15, 2004**

##    DO Computing Model	

-    DO Computing Model

- Data Handling System

**Central Analysis**
**Systems**

**Remote Farms**

**Central**** ****Farms**

- User Data

**User**

**Desktops**

**Central**
**Robotic Storage**

**Remote Analysis**
**Systems**

## Costing Assumptions

**All estimates tied to data rates and observations, and folding in proposed changes.**
**Disk, cpu and servers for central FNAL analysis**
**Estimated from central system usage prior to Sept. 2003->peak usage in Jan 2004 was 2 times estimate.**
**Proposal to double size of TMB.**
**Onsite networking**
**Infrastructure such as gateway machines and code servers, database server machines and disk**
**Mass storage**
**Cache machines and drives to support data export**
**Monte Carlo estimates are tied to data collection rate**
**Reprocessing assumes full reprocessing every year, with a six month duration.**

## Central analysis cpu usage

## FNAL Equipment Budget

**The guidance to the experiments is $1.5M Use the FNAL equipment budget to provide basic level of functionality**
**Database and other infrastructure**
**Reconstruction farm**
**Robotic storage and tape drives**
**Disk cache**
**Basic analysis computing**
**Support for data access to enable offsite computing**

## Cost Estimates

|   | 2004 |  | 2005 |  | 2006 |  |
| --- | --- | --- | --- | --- | --- | --- |
|   | Purchase 2003 | Effective Value,2004 | Purchase 2004 | Effective Value,2005 | Purchase 2005 | Effective Value,2006 |
| FNAL Analysis CPU | $470,000  | $860,861 | $339,000  | $984,093 | $522,000  | $860,861 |
| FNAL Reconstruction | $200,000  | $416,500 | $83,307 | $562,400 | $356,144 | $501,300 |
| File Servers/disk | $110,000  | $1,220,000 | $1,140,000  | $1,500,000 | $730,000  | $1,950,000 |
| Mass Storage | $280,000  | $720,000 | $230,000  | $806,000 | $100,000  | $744,800 |
| Infrastructure | $244,000  | $600,000 | $290,000  | $690,000 | $210,000  | $870,000 |
| FNAL Total | $1,304,000  | $3,817,361 | $2,082,307  | $4,542,493 | $1,918,144  | $4,926,961 |
| Re-Reco (machine cost) |   | $1,920,333 | $1,016,300 | $4,573,350 | $1,016,300 | $3,350,244 |
| Re-Reco (value) |   | $960,167 | $508,150 | $2,286,675 | $508,150 | $1,675,122 |
| Monte Carlo |   | $685,800 | $79,475 | $606,325 | $79,475 | $448,867 |
| Central Analysis |   | $252,517 | $42,659 | $127,978 | $42,659 | $113,758 |
| Virtual Center Total |   | $5,715,844 | $2,712,591 | $7,563,471 | $2,548,428 | $7,164,708 |

## Institution Contributions

**All Monte Carlo production takes place at remote centers**
**100M event reprocessed remotely in Fall 2003.**
**Primary processing offsite if we increase output bandwidth.**
**Analysis level reconstruction activities candidate to move to offsite.**
**Contributions at FNAL to project disk and to CLuED0**
# Presentation: 369428

## GYRO: A 5-D gyrokinetic-Maxwell solver

- GYRO employs an Implicit-Explicit Runge-Kutta scheme discretized on Eulerian grid.
- For typical simulations, GYRO performance is at least 4x faster on a Cray X1 than an SGI Altix or IBM Power4.  And the X1 is significantly faster for larger problems.
- Recent accomplishments include: completed the most comprehensive tokamak turbulence simulation, showed transport is smooth across an s=0 (minimum-q surface) due to the appearance of gap modes, found that     matched the “Cyclone value” at small     resolving an earlier conflicting report while simultaneously finding there is a long transient period for which    exceeds the statistical average in GK simulations.
# Presentation: 507892

## Using GETS and WPS During an Emergency

| Calling From | Circumstance | Use |
| --- | --- | --- |
| Landline* | Network congestion in local area | GETS  |
| Landline* | Network congestion at distant location | GETS |
| Cell phone | Network congestion in local area | WPS |
| Cell phone | Network congestion at distant location | GETS# or WPS |
| Satellite phone | Network congestion at called location | GETS |
| Land* or Cell phone | GETS call does not complete | See Page 2 |
| Cell phone | WPS call does not complete | See Page 2 |

***** May need to dial 9 or other code for outside line.  If no dial tone do not hang up - wait at least 30 seconds for dial tone
- # GETS calls from cell phones do not receive priority on the call originating radio connection - if there is local cell congestion you must use WPS when making an emergency call from a cell phone

| GETS/WPS Point of Contact and Alternate for [enter organization name here] |  |  |  |  |
| --- | --- | --- | --- | --- |
| POC | Enter Name Here | Office | Cell
 | Email |
| Alternate POC | Enter Name Here | Office
 | Cell
 | Email |

- GETS/WPS User Assistance: 1 800-818-4387 or 1-703-818-4387

- Page 1 of 2
- Using GETS and WPS During an Emergency - April 2007

## Page 2 of 2

- Using GETS and WPS During an Emergency - April 2007
# Presentation: 720099

## Exposure-Safety Assessment

- Andre Jackson
- Joga Gobburu
- OCP

## Key Review Question

- Are the symptoms of sedation, dizziness, confusion and coma (excessive sedation) related to olanzapine concentrations?
- Yes.
- More patients receiving the 405 mg/4wks dose  exhibit excessive sedation.
- Patients with higher olanzapine concentrations (>150 ng/mL) exhibit higher risk of this AE.

## More patients receiving the 405 mg/4wks dose exhibit excessive sedation

- 2054 Subjects Were Dosed With OP Depot Olanzapine-September 30, 2007
- 25 Subjects Exhibited An Excessive Sedation Event
- 32% Of The Excessive Sedation Events Occurred In Subjects Dosed With 405 mg/4wks
- 24% Of The Excessive Sedation Events Occurred In Subjects Dosed With 300-390 mg/4wks

## Patients with higher olanzapine concentrations (>150 ng/mL) exhibit higher risk of this AE.

## Key Review Question

- Are the symptoms of sedation, dizziness, confusion and coma (excessive sedation) related to olanzapine concentrations?
- Yes.
- More patients receiving the 405 mg/4wks dose exhibit excessive sedation.
- Patients with higher olanzapine concentrations (>150 ng/mL) exhibit higher risk of this AE.

## BACK UP SLIDES

## Demographic Comparison 405mg/4 wk Injections 

| Event 
Days on Study | #10-Subj 7685
480 | #23-Subj 7568
424 |
| --- | --- | --- |
| Age,yrs | 43 | 47 |
| Country | Spain | Spain |
| Plasma level range, ng/ml | 108-133 | 445-664 |
| Weight, kg | 98.7 | 67.5 |

## Slide 8

## Slide 9
# Presentation: 091672

## Evaluation Methodologies for Ubiquitous ComputingUBICOMP 01 Workshop

- Chris Quintana
- Center for Highly Interactive Computing in Education (hi-ce)
- University of Michigan

## Context

- Developing learner-centered “scaffolded” tools for science
- Now: “Wired” desktop tools
- New: “Wireless” handheld tools
- Middle/high school project-based science
- Evaluation Approaches
- “Effects of” scaffolds: What did students learn?
- “Effects with” scaffolds: How do students work with scaffolds?

## “Effects With” Evaluation

- Data collection
- Collect student actions, student work patterns,conversations
- Process video
- Some log file analysis
- Evaluate work with each scaffold in the software over time and summarize

- Evaluation Criteria
- Accessibility
- Use
- Efficiency
- Accuracy
- Progression
- Reflectiveness

## New Challenges

- Now: “Wired” desktops + “wireless” handhelds
- Students can work anytime/anywhere
- Studying student work and collaboration/discourse patterns
- Challenges
- Observing and tracking student work and discourse patterns
- Additions to evaluation criteria
# Presentation: 326500

## Module 5

- The TC Social Structure and Physical Environment

## Exercise: Rules

- Tell your partner about
- Three rules you have in your household
- The benefits of having these rules

## TC Rules

- Cardinal
- Major
- House

## Structured Socialization

- Structured socialization is the step-by-step process through which residents learn prosocial behavior and attitudes that allow them to become productive members of mainstream society.

## TC Social Organization

- Structure
- Systems
- Communication
- Daily regimen of scheduled activities

## Resident Meetings

- Resident meetings are used to
- Enhance sense of community
- Provide structure
- Resolve issues
- Communicate to all members of the TC
- Assess individual and collective moods of the TC

## Morning Meetings

- Are intended to be uplifting
- Engage residents who may be withdrawn
- Motivate residents
- Start the day in a positive way
- Enhance residents’ sense of community

## House (or General) Meetings

- Address issues and problems that pose a physical or psychological threat to the community
- Discuss community concerns and ways to correct community problems

## Closing Meetings

- Conduct community business in a structured fashion
- Provide closure to the day’s activities
- Make announcements
- Assess mood

## The Physical Environment

- The physical setting of the TC allows residents to
- Disengage from previous lifestyle
- Attain positive affiliation
- Achieve self-discipline
- Reinforce recovery principles and right living

## Access and Security

- TCs are not locked facilities but restrict access to provide security for residents and promote recovery.

## Journal Writing and Wrapup

- What information from this module did you find most useful?
- In what ways might you use this information in your role as TC staff member?
- How are you feeling about your role in this training community?
# Presentation: 424362

## Weather Briefing, 20070716

- Current Situation
- Tomorrow’s local weather
- Tomorrow’s flight conditions
- Thursday surface Weather
- Lenny Pfister, Chuck Bardeen, Evelyn Quiros, and Marcela Ulate

## Summary

- Easterly wave passes and resume something closer to normal pattern.  Isolated showers in the valley with rain expected by about 3 PM.  Some haze in the morning because of cooling and high humidity.
- Panama bight convection expected, but less active than today.  Systems appear somewhat to the south and west in the models of typical location.

## Summary (continued)

- Thursday weather -- easterlies increase somewhat from today.  Expect flying conditions to be no worse than tomorrow.
# Presentation: 000317

## Jack Dongarra
University of Tennessee and Oak Ridge National Laboratory 

**University of Tennessee and ****Oak Ridge National Laboratory **

- KOJAK and SCALASCA

## KOJAK

**Software package for automatic performance analysis of parallel applications  **
**Message passing and threads (MPI, OpenMP, SHMEM, CAF) **
**Parallel performance**
**CPU and memory performance**
**Collaborative research project between **
**Forschungszentrum Jülich, Germany**
**University of Tennessee, USA**
**URLs****	****http://www.fz-juelich.de/zam/kojak/****	****http://icl.cs.utk.edu/kojak/**

## 
Automatic search for patterns of inefficient behavior
Quantification of significance

Data distillation
Guaranteed to cover the entire trace

**Automatic search for patterns of inefficient behavior**
**Quantification of significance**
**Data distillation**
**Guaranteed to cover the entire trace**

- Automatic off-line trace analysis

## Late sender pattern

**process**

**A**

**time**

**idle **

**B**

- ENTER
- EXIT
- SEND
- RECV
- Message
- Link

**MPI_SEND**

**MPI_RECV**

## Analysis report

## SCALASCA

**Follow-up project to KOJAK**
**Started January 2006**
**Funded by Helmholtz Initiative and Networking Fund**
**Objective: develop a highly scalable version of KOJAK**
**Basic idea: parallelization of analysis**
**Current focus: single-threaded MPI-1 applications**
**URL****	**** http://www.scalasca.org/**

## Parallel analysis with Scalasca

- Trace analysisreport

- Source code

- Automatic multilevel
- instrumentation

- Executable

- Runtimesummary report

*Instrumentation*

*Measurement*

*Analysis*

- Profile browser
- CUBE

## Results: SMG2000

## Integrated Tools for high productivity

**Virtual Institute for High-Productivity Supercomputing (VI-HPS)**
**Funded by the Helmholtz Association of German research centers**
**Focus on productivity **
**Advanced programming tools for integrated performance analysis and debugging**
**Training and support**
**VI-HPS partners and tools**
**Forschungszentrum Jülich, Germany (KOJAK, SCALASCA)**
**RWTH Aachen University, Germany (training, support)**
**Technische Universität Dresden, Germany (VAMPIR)**
**University of Tennessee (PAPI, KOJAK)**

## High productivity development cycle

- KOJAK /
- SCALASCA

- VAMPIR

- PAPI

- MARMOT

## Contacts

- Jack Dongarra, Shirley Moore,
- Karl Fuerlinger, and Fengguang Song
- University of Tennessee and Oak Ridge National Laboratory
- Daniel Becker, Markus Geimer,
- Bernd Mohr, Felix Wolf, and Brian Wylie
- Forschungszentrum Jülich, Germany
# Presentation: 799924

## Kirtland Air Force Base

- Rev. 11-00: Susan D. Leach

- Lomas

- Central

- Gibson

**I-25**

- Yale

- University

- Louisiana

- Wyoming

- Eubank

**Kirtland Air Force Base**

**I-40**

- Avenida Cesar Chavez

- Albuquerque International
- Airport

- Gibson

- Cesar Chavez

- The Pit

- Parking

- Isotopes
- Park

**Directions to the Advanced Materials Laboratory (****AML****)**
**1001 University Blvd., SE**
**Albuquerque, NM 87106**
**(505) 272-7600**

- Entrance on south side