BEE-spoke-data/govdocs1-by-extension huggingface dataset:
# Presentation: 865403

## PERSONAL FACTORS

**How many hours**
**in crew position?**

**How many days **
**since last flight?**

**Is your spouse pregnant or does**
**a family member have medical **
**problems?**

**Having marital problems?**

**Are you having financial problems?**

**What is your level**
**of job stress?**

**Your physical/mental **
**condition?**

**Greater than 500**

**0**

**Less than 10**

**0**

**No**

**0**

**No**

**0**

**No**

**0**

**Low**

**0**

**Excellent**

**0**

**200 - 500**

**1**

**10 -20**

**1 - 2**

**Yes**

**0-2**

**Some**

**1 - 2**

**Some**

**1**

**Medium**

**1 - 2**

**Fair**

**1 - 2**

**Less than 200**

**2**

**Greater than 20**

**3 - 4**

**With  complications**

**3-4**

**Yes**

**3 - 4**

**Yes**

**3**

**High**

**3 - 4**

**Poor**

**2 - 3**

**PERSONAL FACTORS**

**Instructions:  Honestly answer the questions.  Total the **
**points and compare your total with the risk categories.  Inform **
**the other crew members during the crew briefing of your personal **
**risk category.**

## MISSION FACTORS

**Sortie Duration**

**Is this a night sortie?**

**Is this an NVG sortie?**

**Your assessment of mission **
**complexity.**

**Less than 5 Hrs**

**0**

**No**

**0**

**No**

**0**

**Simple**

**0**

**5 - 8 Hrs**

**1**

**Routine**

**1 - 2**

**Greater than 8 Hrs**

**2**

**Yes**

**1**

**Yes**

**2**

**Complex**

**3 - 4**

**MISSION FACTORS**

**0 -12 POINTS...........................LOW**
**13 -  22 POINTS........................CAUTION**
**23 & ABOVE POINTS................HIGH**

**Show time?**

**0600-1500**

**0400-0659**
**1501-2059**

**2100-0359**

**Instructions:  Honestly answer the questions.  Total the **
**points and compare your total with the risk categories.  Inform **
**the other crew members during the crew briefing of your personal **
**risk category.**

**0**

**1-2**

**3-4**

**Did you get adequate sleep **
**prior to crew show?**

**Yes**

**Broken Sleep**

**No**

**0**

**1-2**

**3-4**
# Presentation: 304434

## Procurement in the World Bank

- Practices and
- Current Issues
- Pamela Bigart
- 16 March 2007

## BRIEF INFORMATION ON THE World Bank

**What kind of institution:  **
**Development lending organization formed in 1945, now has 184 members**
**How much lending per year:  **
**$20-25 Billion**
**What type of projects do we finance:  **
**all types - classified as investment or development policy **
**Sectors – **
**key sectors include transportation, agriculture, reforms, education, health**
**Information available at: ****www.worldbank.org/procurement**

## KEY PRINCIPLES THAT GUIDE PROCUREMENT UNDER WORLD BANK FINANCED PROJECTS

**Economy and efficiency in implementation of the project**
**Providing all eligible bidders equal opportunity to compete**
**Encouraging development of domestic capacity in borrowing countries **
**Increasing transparency in the procurement process**
**Commitment to competition as most appropriate method to implement principles**

## IMPORTANT CHARACTERISTICS OF WORLD BANK FINANCED PROCUREMENT

******When international competition is sought, all qualified bidders from all countries are eligible to participate.  International competitive bidding is used for approximately 20% by volume of contracts for goods, works and non-consulting services and 70% by value (figures vary annually).**
******Borrowing country implementing agencies are responsible for carrying out procurement under Bank-financed projects in accordance with the GUIDELINES...the World Bank oversees this process**

## Characteristics continued

******Borrowing countries use Bank provided Standard Bidding Documents when seeking international competition – many are harmonized with all MDBs **
******Complaints regarding issues under Bank-financed procurement will be monitored by the Bank to make sure they are addressed**

## SELECTION OF CONSULTANTS

**Advertisement required if value estimated to be over $200,000**
**Short listing procedure - based on qualifications and expressions of interest**
**Quality and Cost Based Selection is predominant (80/20 ratio between quality and cost)**
**Quality based selection for highly complex assignments**

## GOODS and WORKS

**Award to lowest evaluated responsive bidder**
**Some use of pre-qualification for complex requirements**
**Public bid opening**
**Wide publication of opportunities and of awards**
**SBDs provide standard provisions that reflect industry standards**

## Some additional practices

- Bank use of “prior review” provides oversight on implementation of procurement by borrowers
- Bank use of “post review” provides opportunity to take corrective action
- Bank remedies are available to deal with issues under Bank-financed procurement

## SOME ISSUES

**Fraud and Corruption**
**Payments**
**Increased reliance on country systems**
**National Competitive Bidding**
**Building national capacity and better performing procurement systems**
**Monitoring performance and quality**
# Presentation: 831363

## Department of the Interior Enterprise Architecture Overview

- DOI EA Introduction to the Business User – DEAR Report User

## Purpose

- To introduce and demonstrate the information value of the IEA Program
- Show how integrating data mining from the DEAR system can enhance current OCIO processes.

## Report User Training Objectives - Agenda

**Overview of Key IEA Program Elements – 5 minutes**
- Highlights on other Training – MBT and Power User
**DEAR Overview – 15 minutes ****
**What is in DEAR? Why?**
**Reference Model – DOI Extension Overview – 15 minutes ****
- Why this is important to DOI?
- The added value by extending the FEA models to the DOI
**Explain the Value of the Data mined from DEAR – 45 minutes**
- Discuss the value of using mined data from DEAR
**Use Case Examples****	****- 90 minutes**
- Demonstrate the different reporting capabilities
- ** These topics are covered in more detail in Power User training

## Overview of Key DOI EA Elements

- OCIO EA team includes DOI Enterprise Architects for Business, Technology, and Data domains;  Led by Chief Architect
- DOI EA has standard Methodology for Business Transformation - creation and implementation; select business services
- DOI EA Program office operational
- Methodology is active with supporting operational toolkit (DEAR, Guidance, etc.)
- DOI EA addresses “as is” enterprise environment; “to be” and selective sequence (modernization blueprints) plan under development
- Coordinating Bureau modernization blueprint efforts
- DOI EA describes EA environment in terms of business, performance, information/data, application/service, and technology in the context of FEA reference models
- DOI EA effort addressing security – coordination with DOI Security
- DOI EA environment addresses metrics via links to PRM, DOI strategic Plan, and ABC Work Activities

## Document Abstract

| Doc Status | Rev. Date | Author/Editor | Description of edit | Filename/lineage |
| --- | --- | --- | --- | --- |
| Initial | 02.13.2004 | M. Tricomi | Presented to Jim B | doi_cpic_training_02132004.ppt |
| Draft | 02.16.2004
 | J. Barrett | Added sections to 3 and 5 | doi_cpic_training_02182004_jb.ppt |
| Final | 02.17.2004 | M. Tricomi | QA/final | doi_cpic_training_02182004_final.ppt |
| Revision 1 | 04.05.2004 | K. Tallentire | Fixed minor formatting issues | 1doi_cpic_training_04052004_r1.ppt |

| Key Words:
Application Technology Architecture | CPIC Training | FEAF Area:
Subject Function Code: | 
1230 | Contract #:  NBD020221
Task Number: 4 |
| --- | --- | --- | --- | --- |
| Used for Training CPIC members – Bureau and DOI |  |  |  |  |

**Revision History**
# Presentation: 143766

## EE Support TEV Abort Inputs

_** **__**HOPS**_**	****(QFA4, QFE1, QFF3, QDD1, QDE2, QDF4, SF, SD, &SQ)**
**	****	****	****Abort = Power Supply OFF**
_** **__**DIPOLE CORRECTORS**_**  ****(275 PSs located around ring)**
**	****	****	****Abort = Power Supply OFF**
_** **__**C0 SHUNT **_**	****(T:C0SH)**
**	****	****	****Abort = +/- 0.5 amp or greater regulation error**
- 			**100 amps maximum**
**	****	****	****11 amps/sec max. slew rate**

## EE Support TEV Abort Inputs (Cont.)

_** **__**LOW BETA QUADS**_
**	****1 kamp PSs****	****(AQ7, AQ9, AQ0, BQ7, BQ9, BQ0, CQ9, ****	****	****	****CQ0, DQ7, DQ9, & DQ0)**
**	****	****	****Abort = Power Supply OFF**
**	****High Current PSs****	****(B0Q1, B0Q2-4, B0Q3, B0Q5, ****	****	****	****B0Q6, D0Q1, D0Q2-4, D0Q3, D0Q5, D0Q6)**
**	****	****	****Abort = +/- 15 amps or greater ****	****	****	****regulation error and/or, PS OFF**
_**F17 Kicker**_
**	****	****	****Abort = Tripped/OFF**

## EE Support TEV Abort Inputs (Cont.)

_** **__**TECAR**__**	**_**	****(1, VME-based uP in A2)**
**	****	****TEV Ramp generation and PS Voltage profiles**
**	****	****QPM Communications**
**	****	****See System logic diagram for ABORT detailed actions**
**	****	****Abort Summary:**
**	****	****	****QPM link failures**
**	****	****	****Overcurrent**
**	****	****	****PS Loop**

## EE Support TEV Abort Inputs (Cont.)

_**QPMs**_**	****(24, Power PC uPs, one in every 1-4 building)**
**	****	****TEV Magnet Quench Protection Monitors**		**	****	****See System logic diagram for detailed abort actions **
**	****	****Abort Summary:**
**	****	****	****TEV Main PSs**
**	****	****	****QUENCHes**
**	****	****	****LEAD Failures**
**	****	****	****Quench Protection System Faults **
**	****	****	****	****(Dumps, HFUs, QBSs, UPSs)**
**	****	****Timing:**
**	****	****	****3 ms filtering in VFCs**
**	****	****	****60 Hz sampling of UP/DWN counters**
**	****	****	****3, line cycle averaging**
**	****	****	****0.5 volt detection level**

## QPM/TECAR System Logic Diagram 

## TEV Ring Schematic

## TEV PS/Dump Schematic

## TEV Quench Protection Cell - typical

## TEV Quench Protection Voltage Meas.

- Magnet
- 1⁄2 Cell

## QPM Quench Growth Rates(Cell Voltage Plots)
# Presentation: 514187

## Notional ESXI

**Features:**
- Continuous solar imaging
- 42 arcmin x 42 arcmin sensor FOV
**Mass:  100 kg**
**Power: 200 W; 100% duty cycle**
**Volume:**
- 0.90m (l) x 0.65m (h) x 1.5m (w)
**Data Rate: 2.8 Mbps**

## Lightning Mapper (LM)

**Features:****	**
- Accurately detect only lightning events
**Mass:  37.5 kg**
**Power: 144 W; 100% duty cycle**
**Volume:**
- 0.50m (l) x 0.375m (h) x 0.75 (w)
**Data Rate: 1000 kbps**

## Notional SEM

**Energetic Particle Detectors (EPS) - M****onitor the proton, electron, and alpha particle fluxes**** **** **
**Sensor****	****	****	****Mass****	****   Power ****	****Volume****	****	****Data Rate**
*MAGPD* 			40 kg (Total) 11 W  	26.5 x 34 x 29.5 cm	200 bps (total)
- (Magnetospheric proton detector)
*MAGED* 				  9.5 W 	26.5 x 34 x 29.5 cm
- (Magnetospheric electron detector)
*EPEAD East* 			  7 W 	17 x  29 x 25 cm
- (Energetic proton, electron and
- alpha particle sensor  detector)
*EPEAD West* 			  7 W 	17 x  29 x 25 cm
- (Energetic proton, electron and
- alpha particle sensor  detector)
*HEPAD* 				  6.5 W 	17 x 28 x 14.5  cm
- (High energy proton and
-  alpha particle detector)
*Common EPS CPU**	**	** **	**  *39 W*	*22 x 22 x 13 cm
**Magnetometer  -  Magnetic field measurements **
- Outboard			2 kg 	  2 W	7.2 x 7.2 x 9.5 cm	150 bps
- Inboard			2 kg 	  2 W	7.2 x 7.2 x 9.5 cm	150 bps
**XRS / EUV - Detects the beginning of solar flares and estimates the magnitude of associated solar-terrestrial disturbances **
- X-Ray Sensor & Extreme UV	10kg  	  10 W	34 x 22 x 22 cm 	60 bps
# Presentation: 373970

## Climate-Air Quality:

**Armond Cohen, Executive Director**
**Clean Air Task Force**
**U.S. Climate Change Science Program Workshop:**
**Climate Science in Support of Decision Making**
**Air Quality Session**
**Washington, DC**
**November 15, 2005**

- CCSP: Making the Connection With Policy

## Clean Air Task Force

- Environmental NGO founded in 1996
- Sole focus on air quality and climate
- Provides tech, policy and legal guidance to other NGOs and government – lots of work in Red States.
***Digests and communicates science a lot.***
- Also participating in international arena (CLRTAP, International Maritime Organization)

## Main Points

- Science really does drive the debate
- Effect of air pollution  climate is an important emerging topic to NGOs and states we work with
- Needs
- Access
- Transparency

## Science really drives debates

- Distribution of power plant related mortality (Abt 2000)

- CAIR Rule (2005)

## Air pollution effect on climate

- CH4, ozone, black carbon soot
- Huge emerging issue
- Why?:
-  May offer largest opportunities for ***near term (i.e. decade-scale*****) **mitigation of climate change
-  AQ brings significant added benefits
-  AQ = greater political interest.

## An important but not well known picture

## An Early Example of Application: Connecticut

- Black Carbon from diesel reductions (220 GWP)

- Ag, forestry and waste

- Power sector reductions, some energy efficiency

- Residential, commercial, industrial; bulk of energy efficiency

- 2000

- CT Plan Carbon-Equivalent Reductions

- 2020

- SOURCE: Connecticut Climate Action Plan

## Other policy implications and opportunities?

- Slowing Arctic ice melt through BC reductions?
- Scaling up global methane reductions to reduce ozone and slow climate change?
- Advancing Asian AQ policy and climate goals?

## Access, transparency

- Hard for public and NGOs to intelligently track latest science.
- Most public translation of CC and AQ science occurs through the general press
- Mechanisms?
- Transparency on complexity e.g. SO2 masking of climate change, grid resolution of CC modeling (AQ, ecosystem etc).
# Presentation: 429013

## Managing

***Managing***
***Your***
***Small Business***
***Outreach Program***

**Julie L. Krnc**
**Assistant Director**
**Office of Small Business Programs for DoD**

## OUTREACH PROGRAM

**Outreach:*****  ******What***** is it?**
***Manage***** your outreach program!**
**Basic *****topic & event***** examples**
***Best***** practices/*****Lessons***** learned**
**Potential event *****partners***
***Benefit***** analysis/return on investment**

## OUTREACH:

_***What***_*** is it?***

**?**

**?**

**?**

** ****Efforts to **_***locate***_** SB**
** ****Increase **_***access***_** to prime &**
**  ****subcontract opportunities**
**       *****          ******...******.results in...***
***   ***_***increased***_** industrial base.**

**Notes:**
Start out with discussion of :
What is the SPAWAR Small Business Program?
What do the Small Business Office personnel do?

Use flipchart to categorize into:
GOALS
OUTREACH
ADVOCACY
TRAINING

Why do we have it?

## MANAGEYOUR OUTREACH PROGRAM

**Target small businesses**
**   ****that sell what you buy**
**Address weak areas**
**Team effort**
**Improve relationships & local image**
**Analyze benefits/ROI**

***KISS!***

## OUTREACH EVENT EXAMPLES

**Vendor/trade fairs**
**One-on-one counseling**
**Website**
**Matchmaking events**
**Targeted capabilities**
**By invitation only or open invitation**

***Host, Co-host, Speak, Counsel...***

***Mix & Match***

## BEST PRACTICES / LESSONS LEARNED

**Vendors want time with**
**   ****decision-makers**
**Target the right audience**
**Allow networking time **_**and**_** Q&A**
**Consider logistics**
**Advertise early**
**Surveys**

***Outreach:***
***Best***
*** ******Practices***
*** ******& Lessons***
***Learned***

## POTENTIAL EVENT PARTNERS

**Local**
**Organizations**

**PTACs**

**SBA**

**SBLOs**

**Other Gov’t**

**Industry**
**Organizations**

**PMs / Requirements Personnel / Buyers / Cardholders**

## HOW EFFECTIVE IS YOUR OUTREACH PROGRAM?

- 1

- ?

- 6

## TANGIBLE BENEFITS

**Increased dollars/actions**
**Increased SB bids/offers**
**Hits on website**
**Number of attendees**
**Survey results**

## INTANGIBLE BENEFITS

**Internal**
**Teamwork**
**Education / awareness**
**Commitment to program**
**External**
**“****Face to the community”**
**Relationship-building**

## Basic Steps

***Basic Steps***
***for***
***Outreach***
***Planning***

***SEE******: Small Business Community of Practice***
***https://acc.dau.mil/smallbusiness***

**Notes:**
Start out with discussion of :
What is the SPAWAR Small Business Program?
What do the Small Business Office personnel do?

Use flipchart to categorize into:
GOALS
OUTREACH
ADVOCACY
TRAINING

Why do we have it?
# Presentation: 303616

## Slide 1

## People working in awkward postures!

- 1. Mouse arm

- 3. Bent wrist
- & palm planting

- 4. Bike riding
- posture

- 2. Raised
- shoulders

**Notes:**
These are typical postures we have observed at LBNL

## People working under stress and deadlines!

***Budget ***
***Crunch!***

*PRDs!*

***FY Deadlines!***

- Fewer Resources!

- Long Hours!

***Working at home!***

- 10-hour Days!

**Grant **
**Deadlines!**

*8 Days-a-week!*

*Year End Close!*

- NEED IT NOW!

## People are exhibiting their discomfort!

*My aching back!*

*My throbbing mouse** arm*

## What EH&S is doing...

-  Pilot rollout of Remedy Interactive software
-     for employee self-assess and training
-     (3 Divisions- OCFO, IT and EH&S)
-  Fulltime Ergo Desk for help at x 5818
-  Increasing ergo staff for “discomfort evals”
-  Rollout Ergo Advocate training program - *more resources!*
-  Improving the Ergo Database - *clear, concise and user friendly*

**Ergo@lbl.gov**

## What you can do to control injuries...

-  Set realistic expectations for staff workloads
-  Plan ahead for spikes and crunch periods
-  Adjust for shifts in people resources
-  Create a supportive work atmosphere
-  Require Supervisor Ergo training EH&S 22
-  Prompt staff to report ergo problems and request evals early
-  Implement Ergo Eval recommendations promptly...*or faster!*
-  Encourage people to get up and move
- Call Ergo at extension 5818 or email _[Ergo@lbl.gov](mailto:Ergo@lbl.gov)__ for assistance_
# Presentation: 873519

## Dryer Safety

- “Tis far better to call from the parking lot than from the ditch.” – J.W.

- Do you have questions, comments, or an article you would like to submit? Contact Marguerite at
- 867-8520, fax number 867-1120, mail code SA-E or e-mail them at “Safety on the Line” found in your global address list.  _Safety on the Line_ is also on the Web at _[http://sotl.ksc.nasa.gov](http://sotl.ksc.nasa.gov/index.htm)__.  _

- A service of the NASA KSC Safety and Mission Assurance Directorate

- November 2005 vol. 8

- Sound like you?  Try this idea instead of distractedly driving a 4000 lb. missile down the road.  Just get up 15-30 minutes early.  This should allow you plenty of time to read the newspaper or book while eating your breakfast.  This extra time will also allow you to deal with child-rearing concerns before hitting the road and putting yourself and others at risk.  As for cell phones ... just turn them off and let your voice mail cover it.

-  Reading the newspaper
-   Reading a book
-   Talking on the cell phone

***Dryer Safety***
- There were 14,300 clothes dryer fires in U.S. homes in 1998, resulting in 19 deaths, 312 injuries and $67.7 million in property damage.  Here are a few safety tips to keep you fire safe:
-   Do not operate a dryer without a lint filter
-   Clean lint filters before or after each use
-   Plug the dryer into a suitable outlet
-   Turn the dryer off when leaving the home
-   Keep the dryer area clear of combustibles
-   Have a professional regularly inspect gas dryers for connection line leaks

**Wake-Up Call for Drowsy Drivers**
-      As Americans become more sleep-deprived, the number of crashes on our roadways involving drowsy drivers is increasing. Fatigue contributes to 100,000 crashes each year.     Fatigue also slows reaction times, decreases awareness, impairs judgment and can lead to falling asleep at the wheel.
-      Taking over-the-counter or prescription meds, or drinking alcohol in conjunction with fatigue is a recipe for disaster.
-      ***Just don’t do it.***  If you are tired, pull over and rest.  Find a well lit area, pull completely off the road and take a 15-45 minute nap.

**LAST ISSUES QUESTION** -  *Why did the chicken cross the road?  *Because he could.  He looked both ways, heeded oncoming traffic & crossed at an appropriate crosswalk.

-  Putting on makeup
-   Eating, drinking or smoking
-   Dealing with the kids

**So, Who’s Driving?**  Distracted driving has become an increasingly dangerous trend.  Research indicates that driver distraction is a contributing factor in an estimated 4,000 to 8,000 traffic accidents EACH DAY.  We’re talking about those drivers that are:
# Presentation: 087578

## Attribute-based Programming for Grid Services

- Glenn Wasson and Marty Humphrey
- Grid Computing Group
- University of Virginia

## Programming Grid Services

- How do I write a grid service?
- Do I need to understand the specifications  (e.g. OGSI, WSDL, XSD)?
- What about the grid plumbing?
- What support does the container provide?
- Goal: Make it as easy as writing a
- 		    Web Service

## Observation

- Difference between a “Grid Service” and “service logic” is meta-data
- Defines how methods and data are exposed
- Conditions of exposure (policy)
- Annotate service logic with meta-data
- C# attributes (can get at runtime)
- Other languages (need pre-processing)

## Programming Model

- Write Code
- Create service logic
- Annotate Code
- Provide meta-data the container needs to get this code running as a Grid Service
- Run Tooling
- e.g. Generate WSDL
- Deploy Service

## Example: Exposing Methods

**[OGSIPortType]**
- 		[OGSIPortType(typeof(FactoryPortType))]
- 		[OGSIPortType(typeof(NotificationSourcePortType))]
- 		[OGSIPortType(typeof(GridServicePortType))]
- 		public class MyService : GridServiceSkeleton
- 		{
**[SoapDocumentMethod]**
- 		[WebMethod]
- 		[SoapDocumentMethod("http://gcg.cs.virginia.edu/samples/
- 		                             counter#subtract", Binding="CounterSOAPBinding")]
- 		[return: XmlElement("returnValue")]
- 		public int subtract(int value)
- 		{

## Design and Use of Attributes

- How many attributes are there?
- Tradeoff: # of attrs vs. # of attr parameters
- Try to keep # of mandatory attributes low
- Attribute scope
- Class level, method level, member level
- Auto-generation
- E.g. SoapAction names from [WebMethod]

## Exposing Data

**[****SDE****]**
- [SDE ("interface",
- 		    typeof(XmlQualifiedName), false,
- 		    MutabilityType.constant, false,
- 		    "1", "unbounded")]
- public class GridServicePortType : GridServiceSkeleton
- {

## Other Ways to Expose Data

- Get and Set handlers for SDEs
- 		[SDEGet(“currentTime”)]
- 		public ArrayList getTime(OGSIServiceData sde,
- 				         GridServiceWrapper gsw)
- 		{
- Member variables as SDEs
- 		public class SomeServicePortType : GridServiceSkeleton
- 		{
- 			SomeServicePortType() { ... }
- 			[SDE]
- 			public int foo;

## Service Policy

- Initially security policy
- 		[Integrity(“require”, “body”, “token1, token2”)]
- 		[Confidentiality(“reject”, “header1”, “token3”)]
- 		[Message(“require”, “age<30”)]
- 		[Token(“token1”, “x509v3”, “subject=Bob Smith, CA=UVA”)]
- 		[Token(“token2”, “Kerberosv5ST”)]
- 		[Token(“token3”, “SecurityContextToken”,
- 			“issuer=http://token.virginia.edu/ mytoken”)]
- 		public class Service1 : GridServiceSkeleton
- 		{
- Port type or method policy? SDE policy?
- Deployer’s policy vs. Programmer’s policy

## Future

- Extend programming model
- What functionality lends itself to attribute-based programming?
- Refine attribute set
- More intelligent defaults
- More non-class level attributes?
- OGSI.NET website:
-   http://www.cs.virginia.edu/~gsw2c/OGSIdotNet.html
# Presentation: 223373

## Perturbations in Protein Binding NetworksDylan Walker Department of Physics, Brookhaven National LaboratoryDepartment of Physics and Astronomy, Stony Brook University

- Law of Mass Action

- Proteins with >20% change in equilibrium
- Fi are termed concentration-coupled to the
- perturbed protein.

- Concentration Coupled Pair Gradient Network

- Examine the subnet of 312 highly abundant ( > 1000 mol./cell) proteins:

- Concentration-coupled Nieghbors

- High-abundance Proteins

- S. Maslov, I. Ispolatov, PNAS in Press (2007)

- High-abundance Heterodimers

**Notes:**
Our group is interested in large scale protein networks (hundred or thousand). PPI, regulatory networks.
Statistical in natures.
Protein network of an present organism, is a result of million years of molecular evolution. Just like ppl studying genomes, we are able to see traces of evolution by studying the network.
Gene duplications and mutation picture. Is it true? We ask the following question. Given a network, find pairs of duplicated genes, and see how many common partners do they have.

## TO DO:

-  Panel about the dataset
-   small panel about kinetic constants (should include with dataset
-  Explain concentration-coupled pairs by showing a perturbation panel (after LMA but before resistor network) and explain that we are looking for cascading perturbations
- small panel on future work
-  Implications of results!
-  Polish
# Presentation: 101934

## Wess-Zumino term in high energy QCD

- Yoshitaka Hatta
-   (RIKEN BNL)

- Ref.  Nucl. Phys. A768, (2006) 222.

## Introduction

- Classical description of high energy QCD

- McLerran & Venugopalan ‘93

- high energy hadron             random color charges + WW fields

- Observable

- ~

-  is effectively static (independent of      )

## Gluon saturation

- All order effect of       can be
- summed in the form of a Wilson line

- JIMWLK equation

## Beyond B-JIMWLK       

-  must be time (      ) dependent

- Gluon Bremsstrahlung
-             Missing in B-JIMWLK !

## Non-commutativity strikes back

- Color charges are non-commutative.
- This property is lost when they are replaced by c-number charges...

- In the dilute regime where a hadron develops gluon number fluctuation,
-        non-commutativity of charges should be taken into account.

## Path integral of a spin

- “...path integrals suffer most grievously from a serious defect. They do not permit
- a discussion of spin operators...in a simple and lucid way. Nevertheless, spin is
- a simple and vital part of real quantum mechanical systems.”

- R. Feynman

- spin-magnetic interaction

## Generalized weight function in CGC

-              The JIMWLK equation and the  Wess-Zumino term”

- Kovner & Lublinsky ‘05

- Evolution kernel in the dilute regime

- Kovner, Lublinsky,
- Y.H., Iancu, McLerran, Stasto, Triantafyllopoulos

## Wess-Zumino term in high energy scattering

- Eikonal formula for the quark-quark scattering

- Nachtmann, ‘91

## A model for hadron (nucleus) collisions

- Gauge invariant source terms

- Note: one can also write

## The case of the light-cone gauge

- Sources sit at time infinity

- Use the residual gauge freedom to relegate
- interactions to only at the initial or final time.

- Kovchegov & Mueller, ‘98
- Iancu, Leonidov & McLerran, ‘00
- Belitsky, Ji & Yuan, ‘02

- Balitsky ‘98

## Application (1)Gluon production in pp collision

-  Sources         are weak, ~

- Expand the exponential, contract with the external field

- Use the property of the WZ term

## Application (2)Gluon production in pA collision

- Light-cone gauge of the left-moving proton

- Shift the integration variable

## Gluon production in pA collision (cont’d)

## Conclusion

- We formulated the two-source problem using the method of spin path integral. The source term is gauge invariant, and ensures non-commutativity.
- Modifications needed in the light—cone gauge are discussed.
- Setup for the classical and quantum description of the AA collision.
# Presentation: 402145

## Life Is Sweet

- Biological Engineer Ram Sasisekharan:
*Tackling Complex Carbohydrates*

## Ram Sasisekharan Deciphers the Code

*Biological engineer Sasisekharan wants to unlock the healing power of sugars.**  *

- Biological sugars (carbohydrates)
- Help heal scrapes
- Hold cells together
- Communicate messages throughout the body

## Answer: In most life forms

- Carbohydrates = Main energy source for the body

## Carbs Made Simple

- Types of carbohydrates:
- _Monosaccharide_―one simple sugar molecule
- _Disaccharide_―two simple sugar molecules linked together
- _Polysaccharide_―long, interconnected complexes of monosaccharide or disaccharide units that repeat a pattern

## Common Sugar Molecules

- Monosaccharide

- Disaccharide consisting of glucose and fructose chemically linked together

## Complex Carbohydrates – Zillions of Flavors

- Amino acids
- Building blocks of proteins
- Link together in a linear fashion

- Complex carbohydrates
- Simple sugars connected in various combinations
- Often have branched structure

## Proteoglycans Have Many Roles

## Open, Sesame

- _Paracellular transport_, in which molecules pass between epithelial cells, appears to be gated by a “sugar code.”

- The code is specified by _glycan molecules_ that coat the top, or apical, surface of these cells.

## Heparin: Sugar-based Anticoagulant  

- Heparin and low-molecular weight heparin are drugs widely used to prevent blood clots that can lead to heart attacks and strokes
- Commercial preparations of heparin can produce excessive bleeding in some patients

## Sweet Treatments  

| Commercial heparin | “Designer” heparins |
| --- | --- |
| Usually made from pig intestinal lining | May be safer than current preparations |
| Contains widely varying mixtures of different sizes of glycan molecules | Contain sugar molecules that work predictably |
| Difficult to know ahead of time how well a particular batch will work in patients | Design of the molecules enables them to be neutralized to prevent bleeding |

## Research Applications

- How might knowledge about sugar molecules gained by Sasisekharan help in the fight against cancer?
# Presentation: 791628

- By taking the bus instead of driving, you’ll help reduce air pollution and traffic congestion.
- On Air Quality Action Days
**It’s Free!**

- Did you know that New Hampshire typically has 10 days each summer when the air is unhealthy to breathe?  New Hampshire public transit companies are doing their share for clean air by offering free rides on Air Quality Action Days when the air is bad.
- So watch for the “Ride Free” signs and take the bus instead of driving!  You’ll save money and help clear the air!

_**www.airquality.nh.gov**_
**1-800-935-*****SMOG***

- Ride **Free**.
- Breathe **Free**.

- Sponsored by:

**Your Local**
** ****Bus Company**
# Presentation: 827128

## Oral Health Literacy

**Pamela Alston, DDS, MPP**
**Principal Dental Consultant**
**SF Region Dental Consultant**

## Definition of “Oral Health Literacy”

- “The degree to which individuals have the capacity to obtain, process, and understand basic oral health information and services needed to make appropriate health decisions”

## Why is oral health literacy important to us?

- It is our responsibility to identify students who are having difficulty understanding and using dental health information and take steps to address their needs.

## Most recent English Literacy National Survey Findings

- 30 million adults have no more than the most basic of health literacy skills.
- 47 million can only perform simple, everyday tasks.
- Almost 80 million cannot consult and understand reference manuals.

## Rapid Estimate of Adult Literacy in Dentistry (REALD-30)

- Word-recognition test designed to assess oral health literacy
- 30 words representing a spectrum of dental conditions and their prevention and treatment
- Subject read aloud the list of words arranged in order of increasing difficulty
- Each word pronounced correctly is assigned a point.
- 0 pts = low literacy level; 30 pts = high literacy level

## Patients with Low Literacy Levels

- Men
- Minorities
- Less-educated
- Report worse health
- Have public insurance

## Poor outcomes for Patients with Low Literacy Levels  

- Delay in seeking timely and appropriate care
- Increased use of emergency and complex treatment services
- Higher Morbidity
- Reduced general health status

## Poor outcomes for Patients with Low Literacy Levels  

- Impeded ability not only to seek out needed health information but also to process, understand and use it to make appropriate health care decisions
- Preventive services might be less effective
- Lower compliance

## Literacy Interventions

- Patient education to improve vocabulary and conceptual knowledge
- Counseling as an important component of the care to help increase dental knowledge
- “Teach back”
- Use of oral health services

## Best Practices?

- How are you addressing Job Corps students’ ability to understand, interpret and act on various types of health information whether it is communicated orally or in written form?

## References

- Lee JY, Rozier RG, Lee SYD, Bender D, Ruiz RE.  Development of a word recognition instrument to test health literacy in dentistry: the REALD-30. J Public Health Dent 2007; 67:94-8
- Lee SYD, Arozullah AM, Cho YI.  Health literacy, social support, and health:  a research agenda.  Soc Sci Med 2004; 58:1309-21.
- Jones M, Lee JY, Rozier RG.   Oral Health Literacy among Adult Patients Seeking Dental Care.  Journal of the ADA 2007; 138: 1199-1208
# Presentation: 800063

## Diffractive J/

- Ana Carolina Assis Jesus
- Diffractive QCD Meeting
- December 1st 2004

## Outline

- Data Sample
- Rapidity Gap
- My Results
- Next Step

- Ana Carolina Assis Jesus

## Data Sample

- Data files on disk for B-physics
- Events selected using the JPSIFLAG selector of BANA and the 2MU skim cuts
- Output files in:
- /prj_root/1002/ckm_write/2MU-JPSIFLAG/*

- Ana Carolina Assis Jesus

## 2.71638e+06 events

Loop over muons:
    mu1 variables pT, E, charge
Loop over muons:
        mu2 variables 
        “mu1+mu2”
        if mu1_charge+mu2_charge=0
        and 2.0<mass<4.0
            DIMUON     

- Loop over muons:
-     mu1 variables pT, E, charge
- Loop over muons:
-         mu2 variables
-         “mu1+mu2”
-         if mu1_charge+mu2_charge=0
-         and 2.0<mass<4.0
-             DIMUON

- Ana Carolina Assis Jesus

## J/ pick of mass:

- Ana Carolina Assis Jesus

## Rapidity Gap

- Diffractive processes can be identified by their rapidity gaps, which are pseudo-rapidity regions  devoid of particles and energy deposition.
- One of the ways to study these gaps is using the gap triggers.
- Gap Triggers require that one or both detectors of the Luminosity Monitor (LM) is off.

- Ana Carolina Assis Jesus

## The LM has two detectors, North and South, covering the range 2.74.4

- The outputs from the 24 scintillator wedges are summed leading to an on/off signal for each side

- Ana Carolina Assis Jesus

## The gap triggers use L1 condition based on the LM and/or terms:

		1)GapN: LM_North off
		2)GapS: LM_South off
		3)GapNS: both detectors off

Sometimes the North or South a/o terms are not set when the detector is hit => ‘false gaps’
    To avoid the use of those false gaps:

		1)FastZ: both detector hit in coincidence
		2)AHalo: South fired early
		3)PHalo: North fired early

	Gap events should not contain these events!!!

- 		1)GapN: LM_North off
- 		2)GapS: LM_South off
- 		3)GapNS: both detectors off
- Sometimes the North or South a/o terms are not set when the detector is hit => ‘false gaps’
-     To avoid the use of those false gaps:
- 		1)FastZ: both detector hit in coincidence
- 		2)AHalo: South fired early
- 		3)PHalo: North fired early
- 	Gap events should not contain these events!!!

- Ana Carolina Assis Jesus

## My Results

- North off (FastZ, AHalo and PHalo off)

- South off (FastZ, AHalo and PHalo off)

- Ana Carolina Assis Jesus

## Next Step

- Improve the J/selection
- Use the calorimeter cells to look for rapidity gaps

- Ana Carolina Assis Jesus
# Presentation: 100420

## Blending Local and State Public Health Efforts through Online Information Sharing:  Experience from Iowa’s CHNA/HIP Initiative

- Louise Lex, MS, PhD
- Healthy Iowans 2010 Coordinator

## Slide 2

## Promotion

- Preparedness

- Prevention

## Slide 4

## Collaboration is an unnatural act by partially consenting adults.

## Community Health Needs Assessment & Health Improvement Plan (CHNA/HIP)

- Demographics
- Partners
- Health Indicators
- Community Profiles
- Health Priorities
- Strategies

## Healthy Iowans 2010 Midcourse Revision CD

## Three Basic Planning Steps

- Bring the decision makers together.
- Decide what is important.
- Do something about it.

## Map for nutrition

## Map for Substance Abuse and Problem Gambling

## Top Priorities by No. of Counties

- Nutrition & Overweight (64)
- Substance Abuse (55)
- Environmental Health (30)
- Access to Health Services (27)
- Maternal and Child Health (25)
- Mental Health & Mental Disorders (22)
- Tobacco Use (22)
- Heart Disease and Stroke (15)
- Cancer (14)
- Violent and Abusive Behavior (14)
- Oral Health (11)

## “Behold the turtles.  They make progress only when they stick their necks out.”

##  Louise Lex, MS, PhD
Healthy Iowans 2010 Coordinator
Iowa Department of Public Health
321 E. 12th Street
Des Moines, IA 50319-0075
llex@idph.state.ia.us
515-281-4348

- Healthy Iowans 2010 Coordinator
- Iowa Department of Public Health
- 321 E. 12th Street
- Des Moines, IA 50319-0075
- _[llex@idph.state.ia.us](mailto:llex@idph.state.ia.us)_
- 515-281-4348

## Simon Geletta, PhD
Assistant Professor
Des Moines University
Public Health Program
3200 Grand Ave
Des Moines, IA 50312
Phone: 515-271-1366
Fax: 515-271-7166

- Assistant Professor
- Des Moines University
- Public Health Program
- 3200 Grand Ave
- Des Moines, IA 50312
- Phone: 515-271-1366
- Fax: 515-271-7166

## Slide 15
# Presentation: 056798

## STATE OF THE MARKET REPORT 2003

- Joseph E. BowringManager
- PJM Market Monitoring Unit

- FERC Briefing
- Washington, D.C.
- April 14, 2004

## State of the Market Conclusions

**Energy market** results were competitive
**Capacity market** results in **PJM Mid-Atlantic Region** were competitive
**Capacity market** in **PJM Western Region** – no functioning competitive market
**Regulation market** results were competitive
**Spinning market** results were competitive
**FTR market** results were competitive

## 2003 PJM Average Hourly Load and Spot Market Volume

## Average PJM Aggregate Supply Curves: June to September 2002 and 2003

- Average PJM Aggregate Supply Curves: June to September 2002 and 2003

## PJM Peak Load Comparison: Friday, August 22, 2003, and Wednesday, August 14, 2002

## PJM Average Hourly Locational Marginal Prices (in Dollars per MWh)

## PJM Load-Weighted, Average LMP (in Dollars per MWh)

## PJM Load-Weighted, Fuel-Cost-Adjusted LMP (in Dollars per MWh)

## Load-Weighted Average Monthly LMP: Real-Time Market

## Natural Gas Cash Prices

## Type of Fuel Used by Marginal Units

## PJM Average Monthly Load

## Price Duration CurveHours Above the 95th Percentile

## Load Duration Curve

## Average All-In Market Price

## PJM Average Hourly System LMP

## PJM Hourly Energy Market HHI: 2003

## PJM RSI Index Duration Curve: 2002-2003

## Average Monthly Load-Weighted Markup Indices

## PJM Mid-Atlantic Region’s Capacity Obligations: Januarythrough May 2003

## PJM Capacity Obligations: June through December 2003

## PJM Daily and Monthly Capacity Credit Market Performance:January 2000 through December 2003

## Estimated Net RevenueCombustion Turbine

## Equivalent Forced Outage Rates

## Queued Capacity by In-Service Date

## Average Real-Time Offer-Capped Units (by Month)

## Percent of Real-Time Offer-Capped MW (by Month)

## PJM Real-Time Imports and Exports: 2003

## Annual Zonal LMP Differences: Reference to Western Hub

## ARR and FTR Congestion Hedging
# Presentation: 688028

## ECONOMIC DEVELOPMENT
September 13, 2004

**ECONOMIC DEVELOPMENT**
**September 13, 2004**

## CDBG DISBURSEMENTS FOR ECONOMIC DEVELOPMENT

|  | STATE TOTAL | % of Total | ENT. TOTAL | % of Total |
| --- | --- | --- | --- | --- |
| FY 00 |   121,564,217  | 19.3% |   277,321,473  | 7.8% |
| FY 01 |   206,312,786  | 16.9% |   282,829,616  | 7.8% |
| FY 02 |   190,420,527  | 15.1% |   275,409,262  | 7.6% |
| FY 03 |   195,046,668  | 14.9% |   237,201,542  | 7.1% |

## ECONOMIC DEVELOPMENT CATEGORIES

| REHABILITATION:PUBLICLY OR PRIVATELY OWNED COMMERCIAL/INDUSTRIAL |
| --- |
| COMMERCIAL/INDUSTRIAL LAND ACQUISITION/DISPOSITION |
| COMMERCIAL/INDUSTRIAL INFRASTRUCTURE DEVELOPMENT |
| COMMERCIAL/INDUSTRIAL BUILDING ACQUSITION, CONSTRUCTION, REHABILITATION |
| OTHER COMMERCIAL/INDUSTRIAL IMPROVEMENTS |
| ED DIRECT: DIRECT FINANCIAL ASSISTANCE TO FOR-PROFIT BUSINESS |
| ED DIRECT: TECHNICAL ASSISTANCE |
| MICRO-ENTERPRISE ASSISTANCE |

## PUBLIC BENEFIT REQUIREMENTS

- Apply to special economic development activities
- Certain public improvements

## PUBLIC BENEFIT STANDARDS

- Jobs
- $50,000/individual
- $35,000/aggregate
- Services to low/mod
- $1,000/individual
- $350/aggregate
- Exception from aggregate standards for certain activities

## NATIONAL OBJECTIVES

**LOW/MOD BENEFIT**

**SLUM/BLIGHT**

**URGENT NEED**

-  **Area Benefit**

-  **Limited Clientele**

-  Housing

-  **Jobs**

-  Area

-  Urban Renewal

-  Spot

## “CROSS CUTTING” REQUIREMENTS

- Examples:
- Davis-Bacon
- Environmental review

## SECTION 108 LOAN GUARANTEE PROGRAM

-    ADMINISTERED AS PART OF CDBG PROGRAM

## ELIGIBLE APPLICANTS

- CDBG entitlement recipients
- Metropolitan cities
- Urban counties
- State-assisted small cities

## MAXIMUM AMOUNT

- 5 TIMES CDBG
- Less: Outstanding Amounts

## LOAN TERMS

- Up to 20 year term
- Variable/Fixed rate
- Collateral:
- Pledge of CDBG funds
- Other

## THE SECTION 108 GUARANTEE PROGRAM

**HUD**

**Guarantee**

**Pledge of CDBG**
**Funds**

**Guarantee**

**Locality**

**Investors**

**Interim Lender**
# Presentation: 558334

## Generic Trigger List for MC ProductionTerry Wyatt. L3 Algorithms Meeting 11th Sept. 2002   

- overview of planned list
- tools/Filters in L3 technical section
- plan of action

## Structure of MC trigger list

- _“__Users” Section_
- ~25 example triggers from the current global list
- concentrate on “single object” triggers:
- e, , jet, missing ET, J/

- _“__Technical” Section_
- L1: define contents of “count comparator” block
- 256-bits [object type, count]  e.g., CEM(1,10)
- L2, L3: run all available tools on all events
- that run without crashing and produce sensible results
- use loose cuts, low pT thresholds

## L3 Tools/Filters

- Electrons:
- run two instances of standard electron tool:
- “high pT”: pT > 10 GeV
- run high pT tool with/without track-based PV
- needs emfr, shape, track-match info on TMB!
- “low pT”:  pT > 1.5 GeV, emfr>0.9, shape
- TRACK GlobalTracker
- Cal_Track_dphi, _deta, _dcut = -1. ?
- run pT > 1.5 GeV road method electron tool
- Jets:
- run just  SCJET_9 ? (with/without track-based PV)
- Missing ET
- NADA?
- PV
- No ET threshold - to get missing ET info on each event?

## L3 Tools/Filters

- Run loose local muon with no pT cut
- centralmatchrefset: GlobalTracker
- CentralMatchReq: MUO_CENTRAL_MATCH
- Taus:
- calorimeter-based tau with standard cuts
- track-based tau?

## L3 Tools/Filters

- Tracking information:
- run both Global and CFT-only tracking from standalone track filter with pT > 1.5 GeV
- needs wrapper to produce physics_results (p13? who?)
- Primary Vertex Information
- stored in physics_results for each physics object

## Tools/documentation for users

- L1/L2/L3 physics objects on thumbnail
- Kyle Stevenson      Peter Tamburello
- L1/L2/L3 functions for analysis_example
- Erich Varnes
- L1/L2/L3 documentation of physics objects
- Erich Varnes

## Plan of action (short-term)

- Last week:
- Met with L1 trig(sim) experts
- Terry2 got lesson on L1 programming in trigger database
- Dan and Terry put together sketch of L3 technical section
- Week 9th-13th Sept:
- first version of list in trigger database containing:
- ~25 example triggers
- L2/L3 technical section fairly complete
- L1 technical section started at least
- some questions on L1CTT and L1Muon still to be resolved
- first version of L3 analysis_example and physics object documentation available from Erich
- testing begins
# Presentation: 728168

## 2006 Monitoring the Future Study

**2006 Monitoring the Future Study**

** ****Annual school survey conducted by the Univ. of Michigan under grant from the National Institute on Drug Abuse.**
** ****Seniors (12****th**** graders) surveyed since 1975; 8****th**** and 10****th**** graders since 1991.**
** ****2006 sample: 48,460 students in a nationally representative sample of 410 public and private schools.**
** ****Questionnaires are administered to students in their classrooms by Univ. of Michigan staff each spring.**
** ****Unless otherwise noted, increases and decreases discussed are statistically significant.  On the graphs, statistically significant changes from 2005 to 2006 are indicated with arrows.**

## Source: Monitoring the Future Study, 2006

## Issues of Concern: 

**9.6**

**10.5**

**9.3**

**0.0**

**2.0**

**4.0**

**6.0**

**8.0**

**10.0**

**12.0**

**      ****OxyContin**

**      ****Vicodin**

**2002**

**2003**

**2004**

**4.0**

**4.5**

**5.0**

**Percent of 12****th**** Graders**

***Issues of Concern: ***
**Past Year Nonmedical Use of OxyContin and Vicodin **
**Remains High**

**5.5**

**9.5**

**2005**

**4.3**

**9.7**

**2006**

- Source: Monitoring the Future Study, 2006

*****

*** **** Significant decline between 2005 and 2006**

***     ******Nearly 1 in 10 Seniors Have Abused Vicodin***

## 2006 Monitoring the Future Study

**2006 Monitoring the Future Study**

- * Nonmedical use

## Reported Daily Smoking is at Historically Low Levels

- Source: Monitoring the Future Study, 2006

*****

*****

*****

******* **Significant decline between 2001 and 2006

- SOURCE: University of Michigan, 2005 Monitoring the Future Study

**Notes:**
New
# Presentation: 676664

## Forest Service

- Jennifer McGuire
- June 2008

## Forest Service

- A-123 Appendix A
- IPIA Audit
- Management Reviews
- Financial Statement Audit Liaison
- FMFIA

## This Year

- First Year on our own
- Learned more about our controls
- Developed Area Experts
- Built strong relationships with Process Owners
- Identified opportunities for process improvements

## Financial Statement Audit Liaison

- Integrated FS audit liaison into A-123 team
- Strong relationship between audit and process
- Documentation and results used by external auditors (not reliance)
- Leveraged knowledge gained during A-123A assessment to better facilitate audit

## Next Step

- Build credibility
- Training Curriculum
- Strong testing function
- Ability to reperform
- Foster relationships
- Improve processes
# Presentation: 532890

## Please Take a Handout Located in the Back of the Room

**Please Take a Handout Located in the Back of the Room**

## Post-Accident Thresholds

- Presenter: Rod Sams

## Post-Accident Testing Decision

- Fatality?
- If Yes, then...

## DOT TEST!!!

## Injury?

- Immediate treatment away from scene
- If Yes, AND the driver cannot be completely discounted then...

## DOT TEST!!!

## Disabling Damage?

- If Yes, AND the driver cannot be completely discounted then...

## DOT TEST!!!

## Any others to test?

- If Yes, AND they cannot be completely discounted then...

## DOT TEST!!!

## Testing for Accidents that do not meet DOT Thresholds

**If the FTA threshold is not met:**
- 	- Test under own authority
- (should be in policy)
- OR
- -Do not test
- Examples:  testing after receipt of traffic citation; testing after “fender bender”; testing after damage reaches a certain dollar amount

## Time Limitations on Post Accident Testing

- Alcohol
- Document after 2 hours
- Cannot test after 8 hours
- Alcohol test first

## Time Limitations on Post-Accident Testing (Cont.) 

- Drugs
- Test should be performed as soon as possible, but no more than 32 hours following the accident

## Acceptance of Other Test Results

- In the rare event the employee cannot participate in the FTA collection process, following an accident, the employer may accept the results of a test performed by Federal, State, or local officials if results are released
- Employer must document why DOT test was not performed within time period

## Common Problems: Post-Accident Testing

- Testing after every accident
- Incomplete Post-Accident Forms
- Testing Delayed w/o explanation

## Records Review

- Are post-accident tests conducted within two hours of accident?

## Scenarios