BEE-spoke-data/govdocs1-by-extension huggingface dataset:
# Presentation: 437053

## MMC User Interface

## Functionality

-  Platform Independent
-  Intuitive GUI
-  Responsive to the User
-  Adaptable to Wide Range of MMC Instruments
-  Provides What the User Needs to Do the Experiment

## Communications & Control

- ?

- ?

- ?

- ?

- ?

- TCP/IP
- Serial
- SCSI

## Communications & Control

## Design Criteria

-  Client Platform
- CPU Speed, DeskTop Area
-  Connectivity of  User
- ISDN, T1, T3......
-  Variable User Level
- Novice, Expert, System
-  Instrument Safety
- Don’t allow some operations
-  Instrument Data Format
- Square/Rectangular Pixels, Spectral Data, .....
-  API / Instrument Communication Speed

## Operations: Novice Level - Basic

-  Translate/Tilt
-  Focus Image
-  Adjust Probe
-  Magnify Image
-  Change Mode: TEM, STEM, SEM, DIFF, AEM,.....
-  Change Acquisition Rates (TV, Fast, Slow, Line, Static, Raster)
-  Change Resolutions (1Kx1K, 640x480,320x240....)
-  Change Detectors (BF, DF, CCD, XEDS, EELS....)
-  Read/Write Instrument Parameters
-  Recall/Store Data (Images, Spectra, Text)

## Operations: Expert Level - Advanced

-  Full Instrument Alignments
-  Full Electron-Optical Adjustments
-  Expert Modes
- HREM
- HADF/STEM
- Holography
- Spectral Imaging
- Energy Filtered Imaging/Diffraction
- Others....

## Operations: System Level 

-  HighVoltage/Gun Operations
-  Specimen/Stage Exchange
-  Calibrations
-  StartUp/Shutdown
-  Vaccum Related Operations

## Slide 9

## End
# Presentation: 752128

## Interplanetary Physics Branch/Code 692Magnetospheric Electron-Density and Magnetic-Field-Strength Values from the Radio Plasma Imager (RPI) on IMAGE December 2000 AGU Meeting, San Francisco, CA R. Benson, J. Fainberg, V. Osherovich - Code 692/J. Green & S. Fung - Code 630

- RPI plasma resonance Spectrum depends on:
- Plasma frequency fpe (related to electron density)
- Cyclotron frequency fce (related to magnetic field)
- RPI spectral data (below) indicates:
- Model fce is accurate to within 10 percent
- Model fpe can be in error by > a factor of 10

**OUTBOUND RESONANCE OBSERVATIONS **
**(AFTER CROSSING PLASMAPAUSE)**

## Slide 2
# Presentation: 525369

## UID + PIN Proposal

- NIH AMG Technical Subcommittee
- September 17, 1997

## UID + PIN Proposal

- When a new employee reports to work at NIH, assign **both**:
- A **public** 9-digit Unique ID (UID)
- A **secret** 5 to 8 -digit Personal ID Number (PIN)
- The employee receives the PIN **in person** from an AO or badge issuing office
- The employee receives the PIN **in printed form**, including instructions for protection and use

## UID + PIN Proposal

- To protect from loss or theft, the printed PIN form does **not** contain any employee ID
- The UID + PIN are stored in a **secure central database**
- A centrally managed service enables authorized applications to **validate** a UID + PIN
- NOTE: **existing** **employees** may not need PIN

## PIN Purpose

- Knowledge of the UID + PIN enables an individual to prove to an automated system that they are the **same person** that **met** with the AO or badge issuer
- Employees can use UID + PIN to **conveniently **and** securely** obtain from an automated system:
- login name + password
- public + private key pair and certificate registration

## Alternative #1: Do Less

- Do Less = do nothing
- Lost opportunity--no way to prove personal contact with AO/badge issuer
- Establishing equal or better trust level later on will require the inconvenience of a second meeting

## Alternative #2: Do More

- Doing more involves a device (e.g. smart card or PC)
- Inefficient: all employees do not require computer accounts or certificates
- Wrong time: need for computer access may not be known on first day; PC may not be available
- Wrong people: can/will AO/badge issuer properly handle technically complex process?

## Modifications and Extensions

- Assign PINs to other badge holders (contractors)
- Allow UID + PIN to be used **only once**; login name + password or certificate used thereafter
- password stronger than PIN
- login name + password easier to remember than UID + PIN
- UID + PIN used for other ATM-style services for employees
# Presentation: 219039

** **
**FSS Prep and Entry**
**Workgroup #115**
**August 1, 2007**
**Joe Schick – Quad Graphics**
**Rod Barbee – USPS Engineering**
**Marc McCrery – USPS Operations**

## Objective

***Identify areas of impact to the USPS and customers associated with preparation and entry of flats in an FSS environment.  Recommend approaches to optimize FSS preparation and entry to minimize end-to-end costs and fully leverage the FSS program.***** **

## Flat mail preparation for and entry into FSS environment

**Dolly holding ACTs**

**CASTR holding street trays**

## General Staging

**General Staging**

**NOTE:  Drawing not to scale.  Relative locations of work areas and pathways not intended to represent actual layouts****.**

**Empty Dolly**

**Empty Dolly**

## Auto-Ready Containerization

**The group is focusing on a preparation option that would enable a more efficient direct induction of flats, with mechanized conversion of bundles into ACTs, bypassing bundle distribution.**
**The bundles would be more uniformly thick, non-compensated, and strapped.**
**Also exploring the ability of combining multiple FSS schemes on a single pallet.**

## Mail Characteristics

**We have investigated national mail characteristics using prospective FSS zones.**
**This analysis has revealed that 63% of the non-saturation flat pieces (STD and PER) could be placed into FSS scheme bundles and approximately 2/3 of these bundles could be placed on auto-ready pallets (6 sort plans).**
**The group has decided to focus on Dulles and Phoenix as two FSS locations to model baseline and future environments.**

## Industry Analysis

**Quad has performed some analysis on actual mailings, small and large, for both Dulles and PHX to validate (or contradict) the national mail characteristics results.....**

## Industry Analysis

_**Standard Mail - Small – Dulles, VA**_
- Quantity = 364,067 pieces
- Piece weight = .30 lbs
- With a 250 lb pallet minimum, up to 8 FSS sort plans would need to be combined to achieve the necessary weight.
- With a 500 lb pallet minimum, essentially all FSS sort plans would need to be combined on a pallet.

## Industry Analysis

_**Periodical - Large – Phoenix, AZ**_
- Quantity = 1,086,539 pieces
- Piece weight = 1.17 lbs
- With a 250 lb pallet minimum, only one FSS sort plan would achieve the required pallet minimum.
- With a 500 lb pallet minimum, one, or in some cases two, FSS sort plans would be necessary to achieve the required pallet minimum.

## Mail Preparation Subgroup

**We will would like to form a small subgroup to develop a mail preparation proposal that would specify bundle and potential auto-ready palletization requirements.**
**The subgroup would look to build upon the current preparation structure (e.g. mixed carrier-route bundles).**
**In addition, consideration will be given to and requirements developed for the non-FSS mail base.**

**      ****Questions???****	****	**
# Presentation: 916365

## A Congressional Perspective on the Need for Managerial Flexibility

- OPM Strategic Compensation Conference
- August 27, 2002

## Human Capital Management and the American People

- The Social Security Administration
- The Veterans’ Affairs Administration
- The Immigration and Naturalization Service

## Not just an “Inside the Beltway” issue

## Civil Service Structure

- Classification Act of 1949
- 70 % of white-collar jobs are clerical in nature
- Internal equity

## Today’s workers are highly skilled, motivated, and professionally stimulated

## Pay and Performance

- Longevity
- No real performance accountability
- Inattention to labor market rates

## Goals for Pay and Performance

- Performance evaluation tied to pay
- Results:
- A more tailored and dedicated workforce
- Increased agency efficiency and effectiveness

## Availability of Tools

- Pay
- Awards
- Benefits
- Learning and development opportunities
- Work-life policies
- Positive work environment

## Hiring Process

- “The Rule of Three”
- Categorical Ranking

## The Internal Revenue Service

- In response to a report by the National Commission on restructuring the IRS, Congress enacted legislation in 1998 that provided the agency with greater flexibility to hire qualified personnel needed to implement modernization.

## The Internal Revenue Service

- Performance appraisal systems linking pay to performance
- Category rating systems
- Recruitment, relocation, and retention incentives
- Critical pay authority
- Pay-banding
- Voluntary separation pay incentives

## Succession Planning

- In the next five years, over half the federal workforce will be eligible for retirement.

## Where Do We Stand Now?

- Human capital legislation
- The Managerial Flexibility Act
- Recruitment, relocation, and retention bonuses
- Demonstration projects and alternative personnel systems
- Workforce restructuring tools
- Senior executives

## The Department of Homeland Security

- Senator Lieberman’s bill
- Senator Thompson’s concerns
- The right vehicle?

## Let’s keep the conversation going...
# Presentation: 448076

## Current NIST Detector Calibration Capabilities

- Optical Technology Division

**Current NIST Detector Calibration Capabilities**

**Thomas C. Larason, Sally S. Bruce,**
**George P. Eppeldauer, Steven W. Brown, and Keith R. Lykke**
**National Institute of Standards and Technology**
**Gaithersburg, MD 20899-8441, USA**

**Abstract:**
- The National Institute of Standards and Technology (NIST) has provided spectral power responsivity measurements of photodetectors for over a decade in the 200 nm to 1800 nm spectral region.  The Ultraviolet Spectral Comparator Facility (UV SCF) covers the spectral range of 200 nm to 500 nm and the Visible to Near Infrared Spectral Comparator Facility (Vis/NIR SCF) provides measurements from 350 nm to 1800 nm. Both facilities are monochromator based.  The working standards are silicon (Si) photodiodes for the UV SCF and both silicon and indium gallium arsenide (InGaAs) photodiodes for the Vis/NIR SCF.  Measurement uncertainties (*k* = 2) are 0.2 % to 4 %.  Silicon photodiode “tunnel” trap detectors are used to transfer the radiant power measurement scale from an electrical substitution absolute cryogenic radiometer (ACR).
- Additionally, NIST is establishing a new facility for spectral irradiance and radiance responsivity calibrations using uniform sources (SIRCUS).  This facility uses monochromatic sources realized by tunable lasers and integrating spheres. The SIRCUS facility has greatly improved the spectral irradiance responsivity scale of NIST by reducing the time needed for measurements and the expanded (*k* = 2) uncertainties to the 0.1 % level.  The irradiance responsivity scale is also based on an ACR.

- Detector Measurement Services

**National Institute of Standards and Technology**
- Technology Administration, U.S. Department of Commerce

- NIST supplied silicon photodiodes characterized and measured for spectral power responsivity [A•W-1] in 5 nm steps
- Service ID nos. 39071C to 39078C
- Calibrations for these spectral ranges
- UV – 200 nm to 500 nm
- VIS to NIR – 350 nm to 1100 nm
- UV to NIR – 200 nm to 1100 nm
- Special Tests of Near-Infrared Photodiodes (39075S)
- Spectral  range 700 nm to 1800 nm (customer supplied photodetector)
- Special Tests of Radiometric Detectors (39080S)
- Special Tests of Photodetector Responsivity Spatial Uniformity (39081S)
- Special Tests of IR Detectors (39090S)
- Special Tests of Irradiance Detectors (39100S)

**http://physics.nist.gov/photodiode**
# Presentation: 274538

##  Will a slowing of the MOC warm or cool Europe?                                          

- by: Doron Nof
-  Florida State University
-  (Based in part on the work of Sandal and Nof)

## Slide 2

## Slide 3

## With no meridional heat transport

**With no meridional heat transport**

## Slide 5

## adapted from Bard, 2002

**adapted from Bard, 2002**

## adapted from Bard, 2002

**adapted from Bard, 2002**

## Slide 8

## Slide 9

## Slide 10

## [1]

- [1a]

- [2]

- [3]

## Slide 12

##  (i)    Atmosphere:            2C  14C

        Ocean:                     20C  17C

 Increase fan speed,

(ii)   Atmosphere:             2C  16.4C

       Ocean:                      20C  16.4C

-  (i)    **Atmosphere:**** **           2C  14C
-         **Ocean:**                     20C  17C
-  *Increase fan speed,*
- (ii)   **Atmosphere:**             2C  16.4C
-        **Ocean:**                      20C  16.4C

## Slide 14

## Slide 15

## Slide 16

## Slide 17

## Slide 18

## Summary
Air-sea heat fluxes processes are counter-intuitive.

A reduced heat flux from the ocean to the atmosphere causes the ocean to cool, not warm and the atmosphere to warm, not cool.

It is critical that climate models resolve the mixing issues.

- Air-sea heat fluxes processes are counter-intuitive.
- A reduced heat flux from the ocean to the atmosphere causes the ocean to cool, not warm and the atmosphere to warm, not cool.
- It is critical that climate models resolve the mixing issues.

## Slide 20

## Slide 21

## [1]

- [2]

- [3]

- [5]

- [4]
# Presentation: 066138

## Update on theTest-Day Model

## Test-Day Model

**Data includes individual cow milk weights and component percentages recorded on test day**
**Genetic evaluations based on test-day (instead of lactation) data can account for environmental influences more accurately and for genetic differences in shape of the lactation curve**

## Test-Day Model continued

**Used in Canada and several European countries; Australia has used a test-day model since 1985**
**Cornell Foundation granted patent in 1993, which has prevented the U.S. from implementing a test-day model; 2000 re-examination upheld the patent**

## Canadian Dairy Network requested re-examination of patent in Canada; expects to learn if patent was upheld during 2002
Several European groups are collecting information to show that patent should not be upheld in Europe

**Several European groups are collecting information to show that patent should not be upheld in Europe**

**Test-Day Model *****continued***

## Test-Day Data

**Received at least weekly from regional computing centers**
**Includes information from nearly 30 million lactations from calvings since 1990**
**Many checks to ensure data integrity**

## Lactation records calculated using best prediction
Upper and lower limits imposed
60-150% of expected yield derived from preceding or adjoining normal test days
Floor and ceiling used
1-2% of test-day yields affected
Test-days weighted according to correlation with 305-day yield
Weights affected by closeness to other test days

**Upper and lower limits imposed**
**60-150% of expected yield derived from preceding or adjoining normal test days**
**Floor and ceiling used**
**1-2% of test-day yields affected**
**Test-days weighted according to correlation with 305-day yield**
**Weights affected by closeness to other test days**

**Test-Day Data *****continued***

## Recent changes:
Minimum days in milk decreased to 5
Specific reporting of lactations that start with an abortion or reasons other than a normal calving

**Minimum days in milk decreased to 5**
**Specific reporting of lactations that start with an abortion or reasons other than a normal calving**

**Test-Day Data *****continued***

## Detecting Outlier Lactation Records

**Some herds have high percentage of "elite" cows**
**Investigation showed abnormal distributions for lactations from those herds**

## Outliers continued

**Possible solution:**
**Develop criteria based on normality statistics to detect herds with outlier lactation records**
**Adjust weight that records receive based on departure from normality**
**For extreme cases, cow's own records would have little influence on her evaluation**
**Determine if reduced weight for extreme records improves accuracy of parent average in predicting future progeny performance**
# Presentation: 749083

## Following slides presented by

**Paul B. Chapman, M.D.**
**Clinical Immunology Service**
**Memorial-Sloan Kettering Cancer Center**
**during the open public hearing of the**
**Oncologic Drugs Advisory Committee meeting**
**February 27, 2002**

## Slide 2

## E1690:  High dose IFN vs. low dose IFN vs. observation – Overall survival in 608 pts

- Kirkwood et al. JCO 18:2444, 2000

**Not signif.**

## High dose interferon-is FDA-approved
Benefits of interferon -
Toxicities of interferon -

- Benefits of interferon -
- Toxicities of interferon -

- Patients should be allowed to participate in experimental adjuvant trials without high dose interferon-
- Informed consent should explain...
# Presentation: 139891

## American Health Information Community

**Consumer Empowerment Workgroup**
**Recommendations – Gap Analysis**
**Nancy Davenport-Ennis **
**National Patient Advocate Foundation **
**Rose Marie Robertson **
**American Heart Association**** **
**May 15, 2008**

## CE Workgroup Overview

**	****Broad Charge:**
- 	Make recommendations to the Community to gain wide spread adoption of a personal health record that is easy-to-use, portable, longitudinal, affordable, and consumer-centered.
- 	**Specific Charge:**
- 	Make recommendations to the Community so that within one year, a pre-populated, consumer-directed and secure electronic registration summary is available to targeted populations. Make additional recommendations to the Community so that within one year, a widely available pre-populated medication history linked to the registration summary is deployed.

## CE Workgroup Summary 

**	****January, 2006 – April, 2008  ****25 meetings**
- 2006 – 12 meetings
- 2007 – 9 meetings
- 2008 – 4 meetings
- Testimony/Updates – approximately 114
- Developed 29 recommendations 28  AHIC accepted1 Tabled

## Recommendation Categories

- Interoperability and Portability
- Privacy and Security
- Incentives for Adoption
- Education and Outreach
- Certification of Privacy, Security and Interoperability
- Disability
- Racial and Ethnic Communities/Underserved

## Questions

- Are there any recommendations or categories we have missed?
- Are there any barriers to be removed?
- Are there incentives that need to be put in place?
- Where should these discussions take place? The current AHIC or AHIC 2.0?
# Presentation: 877898

## Service Assessments

-        SOO / WCM Conference            February 14, 2007          Kansas City Missouri

-   Rick Shanklin
- WCM, WFO PAH

## Top 10 Reasons To Welcome A Service Assessment 

- 10. It can help you start thinking about early
-             retirement
-   9. Less time to worry about bills
-   8. Less time to fight with your spouse
-   7. The anticipation of the team arriving
-   6. Hones your organization skills
-   5. You get to meet new people (SAT)
-   4. It can unite your WFO
-   3. You can show off your best practices
-   2. It’s a good character builder
-   1. Anticipation of the team LEAVING

## Service Assessments

- Teams are composed of experts in and outside             of NWS.
- Team studies what happened and NWS actions before, during, and after the event.

- Major economic impact on a large area or population.
- Multiple fatalities or numerous serious injuries.
- Unusually high level of public or media interest.

- Conducted to Evaluate NWS Performance during catastrophic weather events.
- Done when 1 or more of the following criteria are met...

## Service Assessments

- Team studies what happened and NWS    actions before, during, and after the event.
- Team recommends changes in NWS procedures, and products and services to improve performance.
- “National”, “Regional”, and “Local” Assessments
- Team arrives at WFO “Typically 2 to 3 days after the event ends”

## Straight from NWSI 10-1606

## Service Assessments 

- WFO Objective = _**Preparation**_

## Local Assessments at WFO PAH

- Slightly Lower Threshold than Assessment Team Criteria
- Much to Learn from Self Assessments
- Process not directly initiated because of a SA or potential SA
- We prepare an Event Binder and send to CRH and possibly WSH
- Conference Room is our “War Room”

## Service Assessments

- Management Team Planning Meeting
- Ask the Tough Questions _and Be Open_
- Ensure a Thorough Understanding of Event Locally – No surprises
- Establish SA Preparation Team               1. Organizer of Event Binder and Sub-organizers                                                  2. Outreach Planner

- In House Preparation

## Service Assessment

- Learn from Them!
- _Improved Warning Services_

## Event Binder - Local Assessments

- Overview Write-up
- Meteorological Write-up/s
- Staffing During Event/ Schedule for Interviews
- Shift Logs
- ALL Products (on cd) – Warnings, Statements, LSRs, Forecasts, Watches, PNSs, Everything related to the event.
- FTRs
- CRS Logs
- Event Verification
- All Free Hand Forms, Logs, eSpotter summary, etc.
- News Media coverage
- Severe Weather Operations Plan
- Spotter Training and Outreach Records
- Best Practices Utilized
- Feedback on Services
# Presentation: 334752

## OSHA/NHTSA MOTOR VEHICLE SAFETY SYMPOSIUM

**OSHA/NHTSA MOTOR VEHICLE SAFETY SYMPOSIUM**
**BOB BRANT**
**MANAGER, OSHA COORDINATION**
**SAFETY PERFORMANCE MANAGEMENT**
**US POSTAL SERVICE**
**SEPTEMBER 14, 2004**

## VEHICLE FLEET: 220K

**VEHICLE FLEET: 220K**
**6 DAYS A WEEK; 302 DELIVERY DAYS A YEAR**
**LARGE TRUCKS: 24/7**
**ALL VEHICLES EQUIPPED WITH SEAT BELTS**
**MANDATORY EMPLOYEE SEAT BELT USE REQUIREMENT**
**SEAT BELT: HIGH VISIBILITY ON DELIVERY VEHICLES **

## SAFETY PERFORMANCE MANAGEMENT

**DRIVING IS A PRIVELEGE; NOT A RIGHT**
**SUITABILITY SCREENING**
**	****DRIVER ABSTRACTS**
**	****	**** ****AGAINST INTERNAL DISQUALIFICATION MATRIX**
**	****DRUG SCREEN**
**	****PHYSICAL**
**TRAINING**
**	****NEW EMPLOYEE ORIENTATION – 8 HOURS**
**	****CLASSROOM DRIVER TRAINING – 8 HOURS**
**	****OBSTACLE COURSE – 4 HOURS PER DELIVERY VEHICLE**
**	****END OF TRAINING ROAD TEST**

## SAFETY PERFORMANCE MANAGEMENT

**RELEASED TO A JOB INSTRUCTOR – ADDITIONAL TRAINING**
**DRIVER OBSERVATIONS**
**	****30, 60, 80 DAY INTERVALS**
**	****SEMI-ANNUAL THEREAFTER**
**MEMBER NATIONAL SAFETY COUNCIL (NSC)**
**	****NSC SAFE DRIVER AWARD PROGRAM**
**	****MILLION MILE AWARDS****	****	**
**	****	****SEVERAL HUNDRED EMPLOYEES ANNUALLY**
**SEAT BELT USE INCENTIVE POLICY**
**	****$10K TO ESTATE**

## SAFETY PERFORMANCE MANAGEMENT

**PERFORMANCE**
**	****ACCIDENT REDUCTION PLANS**
**	****NATIONAL SAFETY INDICATORS**
**	****	****BACKING**
**	****	****AT-RISK DRIVERS (2 OR LESS SERVICE YEARS)**
**	****	****ROLL AND RUN AWAYS**
**	****	****STRIKING STATIONARY OBJECTS**
**	****NATIONAL PAY FOR PERFORMANCE INDICATOR**
**	****	****INDIVIDUAL OBJECTIVE**

## SAFETY PERFORMANCE MANAGEMENT

**Sources:**
**	****USPS: 1769/HRIS Mainframe Query**
**	****Public Sector: NHTSA**

**Number of MVA’s – Annual Trend**

## SAFETY PERFORMANCE MANAGEMENT

**MVA Injury Rate – USPS vs Public & Private Sector**

**Sources:**
**	****USPS: 1769/HRIS Mainframe Query**
**	****Public & Private Sector: NHTSA**

## SAFETY PERFORMANCE MANAGEMENT

**Sources:**
**	****USPS: 1769/HRIS Mainframe Query**
**	****Public Sector: NHTSA**

**MVA Fatality Rates: USPS vs Public Sector**

## SAFETY PERFORMANCE MANAGEMENT

**Sources:**
**	****USPS: 1769/HRIS Mainframe Query**
**	****Public Sector: NHTSA**

_**PARTNERING FOR PERFORMANCE**_
**	****LOCAL FIELD FEDERAL SAFETY AND HEALTH COUNCILS**
**	****FEDERAL AGENCY COUNCIL OCCUPATIONAL SAFETY **
**	****AND HEALTH (FACOSH)**
**	****OSHA VOLUNATARY PROTECTION PROGRAMS (VPP)**
**	****OSHA CHALLENGE AND VPP CORPORATE PILOTS**
**	****ERGONOMIC STRATEGIC PARTNERSHIPS**
# Presentation: 492934

## Spokane Best IFPS Practices

## GFE Practices

- Automatic send of grids to NDFD.
- Perl Script to merge
- Current ZFP with updated ZFP
- Current AFD highlights with new AFD
- Current SFP highlights with new SFP
- Edit Areas for Cold Pockets, Mid-Slopes
- Split up ZFP formatter
- Forecaster can optionally run Days 1-3, 4-7 or all.
- Perl script to merge the two zone packages after editing.
- Formatters for AFD and SFP.

## Shift Workload

- Abandon Public/Aviation paradigm
- Short-term updates most critical during the day/evening.
- 3 Dayshift, 1 Swing, 1 Overnight, 1 Midshift
- Dayshift
- Short Term (0-24 h), Spots, TAFs, FireWx grids
- Mid Term (24-72 h)
- Long Term (72-168 h)
- Swing
- Short Term (0-24 h)
- Overnight
- Mid Term (24-72 h)
- Midshift
- Long Term (72-168 h) – Adds new Day 7 to grids
- Short Term updates after Overnight shift leaves.

## Shift Distribution
# Presentation: 488584

## EFNEP Letter of Intent

- November 2006

## Letter of Intent Webpagehttp://www.csrees.usda.gov/nea/food/efnep/questions.html 

**Letter of Intent Webpage**_**[http://www.csrees.usda.gov/nea/food/efnep/questions.html](http://www.csrees.usda.gov/nea/food/efnep/questions.html)**__** **_

- Includes Q&A on:
- Reporting requirements
- Submission guidelines
- Due dates
- Has links to EFNEP Planning/Reporting Page

## Letter of Intent (LOI) Process

- Letter of Intent will operate on a 5 year cycle with 3 reporting requirements:
- Budget Sheet/Budget Justification
- Annual Update to LOI
- Full LOI

## Letter of Intent Process:Budget Sheet/Justification – due yearly

**	****Budget Sheet & Budget Justification** due _within 60 days of the budget allocation being published_

- Blank excel budget sheets found at _[http://](http://www.csrees.usda.gov/business/reporting/efnep.html)__[www.csrees.usda.gov](http://www.csrees.usda.gov/business/reporting/efnep.html)__[/ business/reporting/](http://www.csrees.usda.gov/business/reporting/efnep.html)__[efnep.html](http://www.csrees.usda.gov/business/reporting/efnep.html)_

## Letter of Intent Process:Annual Update – due yearly

**Annual Update due **_**January 15**__**th**_ ** **
- Update should include:
- Updated data for outcome and impact indicators
- Noteworthy changes your program (if applicable)
- Can also include:
- Success stories or qualitative reports on your program

| Su | M | Tu | W | Th | F | Sa |
| --- | --- | --- | --- | --- | --- | --- |
|  | 1 | 2 | 3 | 4 | 5 | 6 |
| 7 | 8 | 9 | 10 | 11 | 12 | 13 |
| 14 | 15 | 16 | 17 | 18 | 19 | 20 |
| 21 | 22 | 23 | 24 | 25 | 26 | 27 |
| 28 | 29 | 30 | 31 |  |  |  |

**Notes:**
Noteworthy changes to the program including but not limited to: changes in geographic area served, curriculum, target audience, etc.

## Letter of Intent (LOI) Process:Full LOI – due every 5 years

- Full Letter of Intent due every five years
- Should include information on:
- Geographic area to be served,
- Targeted audience,
- Curricula,
- Intended community partnerships,
- Outcomes and impacts,
- Recruitment and training for staff, and
- Strategies for communication between institutions.

- 2011

- Full LOI

## Letter of Intent (LOI) Cycle

- _Annual Update_
- Budget Sheet
- Budget Justification

- _Annual Update_
- Budget Sheet
- Budget Justification

- _Annual Update_
- Budget Sheet
- Budget Justification

- _Annual Update_
- Budget Sheet
- Budget Justification

_**Full LOI**_
- Budget Sheet
- Budget Justification

**LOI Cycle**
# Presentation: 546162

## Strong Local Partnerships:The Keys to Success62nd Interdepartmental Hurricane ConferenceTropical Cyclone Operations and Research:  Priorities for the Future3-7 March 2008Charleston, South Carolina

**Moderator**
**Denise Stephenson Hawk, Ph.D.**
**Associate Director, NCAR**
**Director, SERE Laboratory**
**Boulder, Colorado**

## SESSION FOCUS

**Public Safety**
**Recovery**
**Resilience**

## Definition

**Re-sil-ience:  The capacity of a system, community, or society potentially exposed to hazards to adapt in order to reach and maintain an acceptable level of functioning and structure.**
***From NOAA Guidance Memorandum FY2009-2013         ***
***What should we do?***

**Notes:**
DK:  Where is Trent University??

This garden at the university provides veggies to a small café!

## Integrating Research, Data and Information 				into End-use Knowledge Systems

**Operational Implementation**

**Regional and Local Environments**

**Decision Tools**

**Integrating Research, Data and Information ****	****	****	****	****into End-use Knowledge Systems**

**Weather Research, Data and Information**

**Reliable Information Delivery**

## How do we decide what to do?

-  **Decisions are:**
**Individual - ****Yes**
**Local - ****Yes**
**State – ****Yes**
**Regional - ****? **
**National - ****?**
**Global - ****?**

## OFCM-NCAR Partnership

**Office of the Federal Coordinator for Meteorology:**
- Conducted an Exploratory Review on the **Flow of Tropical Cyclone Information** throughout Mobile, AL and Charleston, SC
- Partnered with NCAR to extend the time frame of information flow from **hours** before the storm to **months and years** before the storm

## Session 11 Strong Local Partnerships The Keys to Success

_**Moderator:**_   **Dr. Denise Stephenson Hawk, NCAR Associate Director and Director of the NCAR/SERE Laboratory**
_**Panelists:**_
**Ms. Cathy Haynes, Director, Charleston County Emergency Preparedness Division**
**Mr. Walt Dickerson, Director, Mobile County Emergency Management Agency**
**Mr. Michael Emlaw, Meteorologist-in-Charge, NWS Weather Forecast Office, Charleston, SC**
**Dr. Betty Hearn Morrow, Professor Emeritus, Florida International University, Consulting Sociologist**
**Ms. Naomi Moye, Hazards Communications Consultant**
**Mr. Ronald Glaser, Sandia National Laboratories, Program Manager, Integrated Public Alert and Warning System**
# Presentation: 675830

## By: Emily P., Katelyn F., Kevin S., and Elayne G.

- Strict Vegatarian

## Our Vegan

- Who: Teenage Boy
- Age: 14
- Height: 65 in.
- Weight: 118 lb.
- Energy Level: Medium
- Daily Calories Needed: 2459 cal

## Strict Vegetarian (vegan)

**  ****A vegan is a strict vegetarian who will not eat **_**any**_** animal products, not even eggs or dairy products. They will not eat any meat because they do not want to take any part in killing animals. They will not eat eggs or dairy products because of the sometimes terrible conditions the animals are held in. **
**  ****It is very important that vegans, especially teenagers,**** ****eat a variety of foods. They also need to be careful about eating enough protein because meat is a main source of protein and they won’t eat any meat.**

## Breakfast (8:00 am)

- Plain bagel w/ 2 tbsp of peanut butter (385 cal.)
- 1 cup of orange juice (105 cal.)
- 1 medium fresh banana (120 cal.)
- Total: 610 calories

## Lunch (12:00 pm)

**Burrito includes:**
- 1 flour tortilla (140 cal.)
- 1⁄2 cup of refried beans (110 cal.)
- 2 tbsp of picante salsa (10 cal.)
- 1⁄2 cup of cooked brown rice (120 cal.)
**Salad includes:**
- Fresh iceberg lettuce (10 cal.)
- 1⁄2 tomato (15 cal.)
- 1⁄4 cup of cubed avocado (87 cal.)
- Fat free salad dressing (50 cal.)
**Cola (150 cal.)**
**Total: 692 calories**

## Snack (3:00 pm)

**Trail mix includes:**
**1⁄4 cup of raisins (112 cal.)**
**1⁄4 cup of peanuts (214 cal.)**
**1.5 ounces of m&m’s (210 cal.)**
**Glass of water**
**1 fresh medium apple (91 cal.)**
**Total: 627 cal.**

## Dinner (6:30 pm)

- 1 cup cooked pasta (200 cal.)
- 1⁄21 cup of spaghetti sauce (100 cal.)
- 3 ounces of tofu ( 50 cal.)
- 1 slice of white bread (70 cal.)
- 1 tbsp of oil (for dipping) (120cal.)
- 1⁄2 cup of cooked green beans (22 cal.)
- 1 cup of water
- Total: 562 calories

## Totals

- 2491 calories
- 7 servings from the bread group
- 4 servings from the vegetable group
- 5 servings from the fruit group
- 4 servings of protein
- 4 servings of fats, oils, and sweets

## Exercise Plan

- 10:00 am: jog around the neighborhood for 15 min.
- 1:30 pm: go to the gym and take an aerobics class for 30 min.
- 5:00 pm: go to the pool and swim for 15 min. or ride your bike for 15 min.
- Total exercise time: 1 hour

## Complete Schedule 

- 8:00 am- breakfast
- 10:00 am- jog
- 12:00 pm- lunch
- 1:30 pm- aerobics
- 3:00 pm- snack
- 5:00 pm- swim or bike
- 6:30 pm- dinner

## The End
# Presentation: 726135

## Public Law

**Public Law 103-446 and the Veterans Benefits Improvement Act of 1994 overview:**
**Provides Compensation for a disability due to an undiagnosed illness for Persian Gulf War veterans**
**Amended to provide service connected compensation for medically unexplained chronic multisymptom illness**
**Delimiting date for Persian Gulf service extended to September 30, 2011**

## Disability Compensation 

**Service Connected compensation will be paid to a Persian Gulf veteran who exhibits objective indications of a qualifying chronic disability, providing that:**
**  **Becomes manifest during active duty service in the Southwest
-    Asia theater during the Persian Gulf War, or to a degree of 10
-    percent or more prior to December 31, 2011
-   A qualifying chronic disability means a chronic disability
-    resulting from any of the following, or a combination of both
-   Chronic fatigue syndrome
-   Fibromyalgia
-   Irritable Bowel Syndrome
**	**

## Amyotrophic Lateral Sclerosis (ALS)

**The Institute of Medicine conducted a study at the request of VA and and released a report of limited and suggestive evidence of a linkage between military service and later development of ALS.**
**Based on this evidence the Secretary directed development of regulations ****providing compensation for veterans who develop ALS at any time following military service. **
**OPM has released the regulations to the Federal Registry, to be published shortly. **

## Undiagnosed Illness Statistics

**Undiagnosed statistics as of February 2008:**
-   14,995 Undiagnosed illness compensation claims processed
-   4.733 veterans in receipt of compensation for undiagnosed
-    illnesses
-   3,195 recipients receive compensation of 10 percent or more for
-    undiagnosed illnesses

## Questions
# Presentation: 808720

## Laser Profile Measurements of an H- Beam*

- R. Connolly, P. Cameron, J. Cupolo, M. Grau, M. Kesselman,
- C-J. Liaw, and R. Sikora
- Brookhaven National Lab, Upton, NY, USA
- *This work was performed under the auspices
- of the United States Department of Energy.

- ORNL Diagnostics Dry Run 12/5/00

## Laser Beam Profile Monitor

- First ionization potential for H- ions is 0.75eV.  Photons with<1500nm can remove an electron leaving neutral H plus electron.
- Nd:YAG laser can be used to select portion of beam and detector is beam current transformer.
- This method has been used at Los Alamos for transverse and longitudinal emittance measurements.
- System is completely non-invasive.  Beam can be monitored continuously with nothing in the beamline.
- Eliminates risk of damage to superconducting cavities.
- Proof-of-principle experiment has been done on BNL linac.
- MEBT platform is being built.

- ORNL Diagnostics Dry Run 12/5/00

## Laser neutralization cross section

- Calculated cross section for H-
- photoneutralization as a
- function of photon wavelength.*
- Nd:YAG laser has =1064 where
- the cross section is about 90% of
- the maximum.

- *J.T. Broad and W.P. Reinhardt,
-  Phys. Rev. A14 (6) (1976) 2159.

- ORNL Diagnostics Dry Run 12/5/00

## Laser profile experiment on BNL linac

- ORNL Diagnostics Dry Run 12/5/00

## Scope trace of current notch

- Ocilloscope trace of output of current
- transformer showing current notch
- created by laser.
- The signal is filtered with a 50 MHz low
- pass filter to remove the linac 200 MHz rf.
- Profile measurements were made by
- measuring the notch depth at each mirror
- position.

**Scope trace of current notch**

- ORNL Diagnostics Dry Run 12/5/00

## Optical arrangement for experiment

- Diagram of experiment installed on BNL linear accelerator.  The laser is on the platform at the left.  The top-center mirror switches between vertical and horizontal scans.  Mirror at top-right scans horizontally and mirror at bottom left scans vertically.

- ORNL Diagnostics Dry Run 12/5/00

## View from side of linac opposite laser platform 

- View from side of linac opposite laser platform

- ORNL Diagnostics Dry Run 12/5/00

## LPM on linac.  Laser is upper right

- ORNL Diagnostics Dry Run 12/5/00

## Beam Profiles Measured on BNL linac

- Horizontal (top) and vertical profiles of the BNL linac beam.  Measurements were made after the rfq with 750 keV beam.
- The markers are the data and the lines are gaussian fits.
- Widths of fits:
- 	x = 3.32 ± 0.05 mm
- 	y = 7.3 ± 0.6 mm
- Each data point is from averaging 15 pulses.

- ORNL Diagnostics Dry Run 12/5/00

## Scanning platform for MEBT

- ORNL Diagnostics Dry Run 12/5/00
# Presentation: 804183

## Summary

- Current peak Luminosity is 3.01 x 1031 cm-2s-1
- Integrated Luminosity has reached 4.8 pb-1/week
- The Tevatron Collider is operating at least as well as Run I peak performance
- Luminosity improvement has been slower than hoped for, but the slope is positive
- Injectors are providing the necessary beams for L0 = 6 x 1031 cm-2s-1
- Much effort has already spent to achieve current level of performance
- Tevatron major issues are
- Injection aperture and lifetime
- Beam-beam effects
- Instabilities
- Identification and mitigation of luminosity impediments continues

- Elvin Harms - HCP 2002

- 30 September 2002

## Performance – Peak Luminosity

*Performance – Peak Luminosity*

- Core Cooling
- Upgrade

- Helix
-  Improvements

- Accumulator
- Shot Lattice

- Improved
- Acc to MI
-  beam line match

- Shutdown/
- Recovery

- Shutdown/
- Recovery

- Improved Tevatron
- Injection closure

- Shutdown/
- Recovery

- Elvin Harms - HCP 2002

- 30 September 2002

## Performance – Integrated Luminosity

- Elvin Harms - HCP 2002

- 30 September 2002
# Presentation: 324910

## MODIS B26 Performance Influence of B5 (1.2um) on B26 (1.38um)

- Chris Moeller
- U. Wisconsin
- Presentation to MODIS Atmos. Group 12/17/01

## Dec 8, 2000

- 0215 UTC
- Band 26
- Uncorrected

## Wavelength (um)

- Response or Transmittance

- 26

- 5

- 6

- 7

- B26, ch5
- Out-of-Band
- data

- The OOB feature near B5 is the largest in the SWIR region.

## Response or Transmittance

- Wavelength (um)

- 5

- 26

- B26, ch5
- Out-of-Band
- data

- An OOB feature near B5 may be contributing to B26 signal.

## Dec 8, 2000

- 0215 UTC
- Band 5
- W. Australia

## Dec 8, 2000

- 0215 UTC
- Band 26
- .005 influence
- removed

## Dec 8, 2000

- 0215 UTC
- Band 26
- .010 influence
- removed

## Dec 8, 2000

- 0215 UTC
- Band 26
- .015 influence
- removed

## Dec 8, 2000

- 0215 UTC
- Band 26
- .020 influence
- removed

## Dec 09, 2000

- 0215 UTC
- Band 5
- W. Australia

## Dec 09, 2000

- 0215 UTC
- Band 26
- Uncorrected

## Dec 09, 2000

- 0215 UTC
- Band 26
- Detector
- dependent
- correction

## Detector dependent correction of MODIS B26 (1.38um) imagery for B5 (1.24um) influence

- L26, i, cor = L26, i, unc - Ai * L5, i
- 	L26,i is B26 radiance for detector i
- 	L5,i is B5 radiance for detector i
- 	Ai is influence coefficient for detector i

## Detector based influence coefficients based on 

- Detector based influence coefficients based on
- empirical assessment using data of:
- 	Day 00343 0215 UTC (SW Australia)
- 	Day 01085 1710 UTC (Gulf Coast, USA).

- MODIS Detector Number (Product Order)

- Influence Coefficient (dimensionless)

## Influence Coefficient estimation assumes that a 

- Influence Coefficient estimation assumes that a
- regression relationship tracks through 0,0 origin point

## Slide 16

## Day 01111, 1610 UTCLake Balquash Region (Asia)

## Apr 21, 2001

- 0610 UTC
- Band 26
- Uncorrected

## Apr 21, 2001

- 0610 UTC
- Band 5
- (Offender)

## Apr 21, 2001

- 0610 UTC
- Band 31
- 11um

## Apr 21, 2001

- 0610 UTC
- Band 26
- Corrected

## Apr 21, 2001

- 0610 UTC
- Band 26
- Uncorrected

## striping

- Reducing B26 striping increases the contrast between
- cirrus cloud and the underlying background surface

- Along Track Line Counter

- MODIS B26 Reflectance

- V3.0.0
- threshold

- New
- threshold

- Cirrus

## Lowering the Cirrus Cloud detection 

- B26 Cloud test threshold
- in V3.0.0 (current)

- Optical depth detectable
- with new threshold

- Lowering the Cirrus Cloud detection
- threshold will capture much thinner cirrus
- (optical depth of 0.08 in this example)

- Cloud Optical Depth

- 1.38um Cloud Model Reflectance

- New B26 Cloud test
- threshold under evaluation

## B5 Influence on B26

- Anecdotal evidence suggests surface features and striping can be largely removed from B26 using a B5 based correction
- Atmospheric water vapor influence on B26  remains physical.
- Pre-launch OOB data for B26 suggests filter leak (pinhole?) near B5 spectral position
- Problem: As characterized by Pre-launch data, the pinhole leak is about a factor of 2-3 too small to fully explain B26 behavior.
# Presentation: 085514

## DAVIS-BACON & OTHER LAWS

**Federal Labor Standards 101**

- Davis-Bacon Act  (DBA)
- Copeland Act (Anti-Kickback Act)
- Contract Work Hour and Safety Standards Act
- Davis-Bacon Related Acts (DBRA)
- See 29 CFR Parts 1,3,5,6,7             

## DAVIS-BACON ACT

- Enacted in 1931, amended in 1935  & 1964
- Federal construction contracts over $2,000
- Applies to _all_ laborers & mechanics
- Includes alteration, repair, painting & decorating

## DAVIS-BACON ACT

- Establishes prevailing wage rates
- Requires that workers be paid weekly
- Is “site-based”
- Usually applied through the “Related acts”

## COPELAND ACT

- Enacted in 1934
- Prohibits “Kick-backs” of pay
- Requires _certified_ weekly payrolls
- Regulates payroll deductions from wages

## CONTRACT WORK HOURS & SAFETY STANDARDS ACT

- Enacted in 1962
- Overtime for all work in excess of 40 hrs/week on a covered project
- Applies to contracts _>_ $100,000 

## CONTRACT WORK HOURS & SAFETY STANDARDS ACT

- Requires the assessment of liquidated damages @ $10 per day per violation
- Intentional violations = federal criminal misdemeanor

## CONTRACT WORK HOURS & SAFETY STANDARDS ACT

- Does not apply to contracts _<_ $100K
- However, through Federal Labor Standards Act, overtime will probably be applicable

## FAIR LABOR STANDARDS ACT(Enforced by the Dept. of Labor)

- Enacted in 1938
- Established Federal minimum wage rates
- Established maximum working hours
- Established minimum ages for workers
- HUD will refer FLSA matters to the DOL

## why doesn’t the Department of Labor enforce them instead of HUD?

- why doesn’t the **Department of Labor** enforce them instead of HUD?

- So, if Congress passed all these **Labor** laws,

## REORGANIZATION PLAN 14

- Executed March 13, 1950
- Provides uniform approach to enforcement
- DOL coordinates administration of labor stds
- Gives Federal Agencies primary responsibility

## Code of Federal Regulations (CFR) - Title 29

- Pt 1 – Determination of wage decisions
- Pt 3 – Copeland Act requirements
- Pt 5 – Labor standards provisions for contracts
- Pt 6 – Administrative proceedings
- Pt 7 – Practice before the Admin. Review Board
# Presentation: 803207

## Offline Analysis of AFE Board Test Data

**SVX Gains**

**Pushpa Bhat, Rick Jesik, Andriy Zatserklyaniy**

**September 25, 2001**

## On each AFE board, 512 channels out of available 1024 channels are used (64 channels/MCM, 8 MCMs/board)
After the operating voltages are established for each SIFT in each of the MCMs, different amounts of charge are injected  (QDAC=0 – 60, ~2.5 fCoulombs/QDAC unit) and SVX responses are read out.
For each channel then, we perform a linear fit to the SVX response @ QDAC=20, 30, 40, 50.  The plots in the next few pages show the results of the fits to each of the channels across an AFE for a few boards.  
Gain is one of the criteria to be used to define bad channels and in certification of the boards. 

- After the operating voltages are established for each SIFT in each of the MCMs, different amounts of charge are injected  (QDAC=0 – 60, ~2.5 fCoulombs/QDAC unit) and SVX responses are read out.
- For each channel then, we perform a linear fit to the SVX response @ QDAC=20, 30, 40, 50.  The plots in the next few pages show the results of the fits to each of the channels across an AFE for a few boards.
- Gain is one of the criteria to be used to define bad channels and in certification of the boards.

## Gains in units of SVX counts/QDAC unit

- Solid line is the average of values across the board (will look at
-    distributions, mean, mode and errors).
- Dashed line is 75% of average value

## 560452

**560452**

## Not latest data

## Slide 6

## Slide 7

## Slide 8

## Average gain doesn’t make sense when many channels or

- whole MCMs are bad!  We will update code to exclude
- problematic channels.

## Slide 10

## Slide 11
# Presentation: 200369

## The Weather Research and Forecasting (WRF) Modeling System

- NASA’s Short-term Prediction Research and Transition (SPoRT) Center
- 12 October 2005

## Overview of WRF

- A next-generation mesoscale model and assimilation system, with an emphasis on horizontal resolutions of 1 – 10 km
- A number of different dynamics and physics options are available, so many different configurations of WRF are possible

## Significance of WRF to the NWS

- Intended to promote closer ties between research and operations
- Will replace the PSU/NCAR MM5 and the Eta and RUC models at NCEP

## SPoRT WRF configuration

- 00 and 12 UTC cycles
- 48 hour forecasts, output every 3h
- 36 km domain and 12 km nest with 37 vertical levels
- Initialized with 40 km NCEP EDAS analyses
- NAM 3h forecasts are used for LBC’s

## SST Initial Conditions in SPoRT WRF

- The SST initial conditions, originally from the RTG SST product, are replaced by a MODIS SST composite for both the 36 km and 12 km domains
- The MODIS SST composite provides more horizontal structure

- MODIS SST - RTG SST
- 12 UTC  August 16, 2005

- Differences ~ 2K

## SPoRT WRF dynamics and physics

- Eulerian mass core
- Lin et al. microphysics
- RRTM LW radiation
- Dudhia SW radiation
- Noah land surface model
- YSU PBL scheme
- Kain-Fritsch cumulus parameterization scheme

- 3h forecast:  3h accumulated precipitation

- NAM

- WRF

## Availability in AWIPS

- Typically available by 12:15 am/pm CDT
- time improvements are possible for the future
- Forecasts are available on the 12 km domain
- Access the WRF in AWIPS just like the NAM or GFS

## WRF Assessments

- Assessments are conducted to study something of interest to both researchers and forecasters
- Surveys for WRF Assessment
- Separate for long-term and short-term desk
- Focused on temperature, precipitation, and clouds
- Measured confidence in WRF, Eta, and GFS

## Summarized WRF Assessment Results

- There was less confidence in the WRF 2m temperature

- Forecasters had high confidence in all WRF precipitation categories and moderately-high confidence in cloud timing and location

- Long-term desk

- Short-term desk

## 29 August 2004:  Precipitation

- No model forecasted the correct amount of precipitation
- All models had some precipitation over the Huntsville area

## 29 August 2004:  Cloud cover

- The Eta and GFS have a much thicker cloud field than the WRF

## 29 August 2004:  2m Temperature

- The WRF model, with its thin cloud cover, has temperatures much higher than the Eta or GFS
- Thick cloud cover was observed at this time, associated with the convection observed in the precipitation fields
- For 2m temperature, the Eta and GFS outperformed the WRF for this case

## 00 UTC  4 August 2005

- NAM

- WRF

- 24h forecast:  3h accumulated precipitation

- Composite radar reflectivity

## 12 UTC  25 August 2005

- Composite radar reflectivity

## Summary

- Expect the WRF to have utility in forecasting
- Designed for mesoscale modeling
- High-resolution SSTs should improve forecasts, particularly near the coast
- Initial studies indicate it provides value beyond current operational models