BEE-spoke-data/govdocs1-by-extension huggingface dataset:
# Presentation: 730812

## Oncology Centre of J.G.Mendel

- Since January 2006 member of the oncology centres network, which involves 18 centres, all meet requirements of the Czech Oncology Association
- It includes a number of centres providing the best treatment:
- Radiotherapy and oncology
- Oncohaematology, haematology
- Genetics, cytogenetics
- Endocrinology
- Surgery
- Complex of laboratories incl. Outpatient Genetics Department

## Slide 2

## Vítkovická nemocnice

- Group ́s largest centre, member of the group since 2005
- Fusion with the hospital Nemocnice Ostrava –Jih
- Provides primary healthcare for 150 000 inhabitants
- Total amount of beds: 478
- This hospital holds prestigious title BABY FRIENDLY HOSPITAL
- Specialised centres
- Centre of Vascular Interventions (CVI)
- Centre of Digestive Tract Healthcare

## Centre of Vascular Interventions 

- Centre combines care of vascular diseases and provides multi-field approach to healthcare
- Such integrated conception is sole in the CR
- It meets the most modern world trends, which were defined during the conference on “Vascular Centres“ in Atlanta
- Considerable participation in significant studies and projects
- Specialised treatment of vascular apoplexies

## Centre of Digestive Tract Care

- Complex treatment for patients suffering from digestive tract diseases
- Centre significantly participates in organisation and it ́s own National Programme for Colorectal Cancer Screening
- Centre ́s results are regularly presented in national and international conferences
-  Centralisation of infrequent gastroenterology performances in one centre

## Slide 6

## Šumperská nemocnice 

- Primary healthcare for 130 000 inhabitants
- It provides healthcare in 20 medical fields
- Pivotal fields with further specialisation:
-  orthopaedia – endoprosthetics
-  urology,
- ORL
- oculist specialisation
- Vision of the hospital Šumperská nemocnice: to become the best private regional hospital
- In 2006 hospital received Accreditation Certificate

## Nemocnice Valašské Meziříčí 

- Regional hospital, all medical fields were preserved
- Primary care for 90 000 inhabitants
- Supra-regional healthcare for 180 000 inhabitants
- Preferential focus on gynaecology and maternity hospital, which belong to sought-after centres
- Development of urology and traumatology within the Surgery Department

## Nemocnice Český Těšín 

- Former municipal hospital
- European model of municipal hospital providing primary healthcare for 40 000 inhabitants
- Since 2003 – restructuring of healthcare considering needs of region inhabitants
- Extensive reconstructions were carried out
- In 2006 hospital received Accreditation Certificate

## Satisfied patients and excellent professional results are the main tasks for us. If we want to be successful we have to improve our services constantly in order to gain respect and do not loose trust of any patient.
# Presentation: 409449

## Motivation

**Main Points**
- Definition of motivation
- Why motivation is important
- Maslow’s hierarchy of needs
- Motivational techniques for members

- Unit Commanders' Course

## Motivation

**Overview**
- This segment is designed to impress upon you the importance of motivating your members, how motivation takes place, and showing you techniques to motivate your people more effectively.

- Unit Commanders' Course

## Motivation

**Participants will**:
- define *motivation* in their own words
- discuss why motivation is important to the CAP unit
- Describe Maslow’s hierarchy of needs
- Identify motivational techniques for members

- Unit Commanders' Course

## Motivation

- A key to your effectiveness as a commander is the ability to build in members support for the squadron’s objectives and have them work towards that goal.  This is “motivation.”

- Unit Commanders' Course

## Motivation

**Motivation authority defined:**
- The act and art of creating an atmosphere where your members will want to achieve the objectives which are set for them.

- Unit Commanders' Course

## Motivation

**Why motivate your people?**
- All people have an inner drive guiding what they do.
- Everything is done for survival, protection, or pleasure.
- Motivation is the factor which sets leadership apart from management.
- People make choices, and motivation is a key factor.
- People want to have goals.

- Unit Commanders' Course

## Motivation

**Motivation builds:**
- Trust.
- Teamwork.
- A unified effort towards achieving squadron objectives.

- Unit Commanders' Course

## Motivation

**Maslow’s hierarchy of needs**
**Level I** - Physiological needs
**Level II** - Safety (security) needs
**Level III** - Social needs
**Level IV** - Esteem needs
**Level V** - Self fulfillment (self-actualization)

- Unit Commanders' Course

## Motivation

**Motivational techniques for members**
- Ensure their physiological needs are met.
- Create and sustain a feeling of self-confidence in members
- Provide adequate guidance
- Recognize the uniqueness of individual members

- Unit Commanders' Course

## Motivation

**Motivational Techniques for members**
**(Cont’d)**
- Accentuate the positive
- Practice participative management
- Listen
- Be loyal to your members
- Respect your members
- Say “Thank you.”

- Unit Commanders' Course

## Motivation

**Questions**
**&**
**Answers**

- Unit Commanders' Course
# Presentation: 835265

## Project PlanRoot Cause and Risk AnalysisTeam 2

- Project PlanRoot Cause and Risk AnalysisTeam 2

- NASA:  Henning Leidecker;  301-286-9180
- Boeing: Gary W. Bickel; 714-372-6820
- 4/6/00

## Team 2--Schedule

## Accomplishments

- Coating Penetration Tests
- Completed added Strength Tests on jacketed HF-etch samples, confirmed fiber differences
- HF exposures continuing; severe fiber differences from strength tests are dramatically confirmed
- We are firming up plan for 2nd round of tests; will include OC-1260 fiber

## Issues

- Coating Penetration Test Results
- There are problems with availability of key BICC personnel for follow-up tests
# Presentation: 487020

## Format for 1⁄2 Day Modeling Workshop  

- Morning session would focus on current models and modeling capabilities as structured and envisioned by Jeff Miller in his proposed agenda.
- The afternoon session would consist of a panel discussion in which four or five modeling experts would be invited to give 20 minute presentations focusing on modeling topics that are of special interest to presenters and the PWG.   The panel presentations would be followed by a Q&A session.
*(Note: The proposed panel session would start at 1PM and end at 4PM on the first day of the Workshop. Assuming we have five panelists: an independent non-affiliated modeling expert to facilitate the discussion, and four vendors representing a cross section of the available modeling technologies, e.g., 2020/Power-world, PLEXOS, SDDP, ABB-Gridview.  Each panelist would have 20 minutes to discuss one or more of the topics identified above (elapsed time = 1hour and 40 minutes).  These presentations would be followed by a 20 minute break (elapsed time = 2 hours).  The panel would resume at 3PM for a 1 hour Q&A session, (elapsed time = 3 hours).*
**Presentation material could include:**
- _Incorporating gaming theory into the bid logic of our models_ - What is gaming?  Why is it important to model behavioral effects? How does one go about modeling strategic bidding?
- _Perfect knowledge and the benefits of incorporating uncertainty into inter-temporal decision making_ - Decisions are made under uncertainty, especially the ones that affect longer-term resource acquisition, hydro storage, annual maintenance scheduling and unit commitment decisions.  Why is it important to model these uncertainties? How does one go about incorporating uncertainty into the internal decision logic of our models.
- _System expansion-m__odeling_ - Why simulate system expansion?  System expansion decisions are a function of the physics, economics and synergies of resource and transmission adequacy and reliability and uncertainty – so how do you model all that?
- _Hydro modeling_ – Do we really need to dynamically simulate hourly hydro operations? Why is hydro so difficult to model?
- _The Curse of Dimensionality_ -  What is it?  Why is it such a problem?  Are there ways to compensate?  Is LP the only approach? How can we solve this troublesome problem?
- _Data _- Where are the biggest holes in our data and how can we fill them?- Starting with loads.
- _Are the modeling technologies converging on a Standard Model Design?  And what would that design look like if they were?  _
# Presentation: 356175

## Producing County-level Characteristics Estimates by the Cohort-Component Method

- by Larry Sink
- U.S. Census Bureau

## The Cohort-Component Method

- P1 = P0 + B - D + NDM + NMA
- where:
- P1 =	population at the end of the period
- P0 =	population at the beginning of the period
- B =	births during the period
- D =	deaths during the period
- NDM =  net domestic migration during the period
- NMA =  net migration from abroad during the period

## Base Population

- Modified Age Race Sex (MARS) version of the 1990 Census.

## Vital Statistics

- Birth and death data are obtained from the National Center for Health Statistics (NCHS)

## International Migration

- Data are obtained from:
- The Immigration and Naturalization Service (INS)
- The Office of Refugee Resettlement (ORR)
- Estimates produced by the Census Bureau
- The lack of reliable information on undocumented
- immigration is the greatest source of difficulty for the
- international migration component

## Domestic Migration

- The problem:
- must estimate migration for over 3000 counties
- must estimate migration for over 1000 characteristics for each county

## Domestic Migration

- Data sources:
- matched tax return data from the Internal Revenue Service (IRS)
- administrative data from the Social Security Administration (SSA)
- State-level migration estimates produced by the Census Bureau

## Merged IRS-SSA data

- Contain:
- state and county of residence at the beginning and end of the period
- number of exemptions claimed, which is used to estimate household size
- demographic characteristics of the filer

## Two types of ratios used in computing county domestic migration

- migration rate =
-                         number of exemptions which migrated  /
-                          total number of exemptions
- county migration share =
-                  number of exemptions in county which migrated  /
-                   number of exemption in state which migrated

## How Domestic Migration is Computed

- Migration rates are used to compute state-level migration with full detail
- County migration shares are used to divide state-level migration among counties by race and ethnicity
- All counties are assumed to have the same migration patterns by age and sex as the state

## Advantages of this Approach

- Basing county migration shares only on race and ethnicity greatly increases the number of observations available for each calculation
- Race and ethnicity are the characteristics on which migration flows are most likely to differ
- Our research indicates that migration flows do not vary greatly with respect to age and sex

## Conclusion

- Cohort-Component Method produces the best estimates when reliable data exist for all components
- Data are already available for births, deaths, and international migration
- The method for estimating domestic migration presented here should be viewed simply as a means for providing the missing piece necessary for using the cohort-component method
# Presentation: 710394

## }

**Aerosol optical depth (AOD) at 13 ********, 353-2139 nm**
**Water vapor column content [using T(940 nm)]**
**Aerosol **
**   ****extinction, **
**	****340-2139 nm**
**Water vapor **
**   ****density**

**When **
**A/C**
**flies **
**vertical profiles**

**AATS-14****14-Channel Ames Airborne Tracking Sunphotometer**

-  Phil Russell, SGG, Philip.B.Russell@nasa.gov, x4-5404
-  Team Members: Beat Schmid, Jens Redemann,
- John Livingston, Nicholas Truong, Roy Johnson

-  Delivered to TARFOX 1996, rebuilt for ACE-2 1997 & SAFARI-2000. ~6 deployments, 2001-04.
-  Development funded by NASA. Use funded by NASA*, NOAA*, Navy, DOE*. *Funding oppty.

- __

- __

_**Measures**_**:**** **
**  ****Solar **
**  ****direct-beam transmission, T, **
**  ****at 14 wavelengths, ********, **
**   ****353-2139 nm**

_**Technology**_**:**** ****Photodiode detectors (2 thermoelectrically cooled), interference filters, quad detector, tracking motors, bearings, seals.**

_**Technology Readiness Level**_**:**** ****All components purchased.**
_**Ames role**_**:**** ****World leader in airborne sunphotometry.**

_**Technical challenges**_**:**** ****Tracking accuracy, autonomous sun finding, detector & filter temperature control during external temperature & pressure extremes, window frost & dirt, pressure & weather seals.**

- X
# Presentation: 694566

## Latest muon features

- _Two issues currently with Stntuples for Summer:_
- Some 0i Stntuple files messed up in production, see offline meeting Wednesday, talk by Ai Nagano.
- 2)  New fiducial tool matters for CMX miniskirt and
-      keystone scale factors.

## CMX Miniskirt+Keystone

- Latest muon data/MC SF’s blessed last Friday (CDF note 8262)
-  - but includes new fix to muon fiduciality:
-          Muon/src/MuonFiducialTool.cc revision 1.16
- New efficiencies compatible with old *EXCEPT* for the MS and KS:

- More plots on:
- http://www-cdf.fnal.gov/internal/physics/joint_physics/leptons/miniskirtplots.html

- _Old phi cuts from note 7956:_
- Miniskirt:  237.5 <  < 267.5 or 272.5 <  < 302.5
- Keystone: ( 76.25 <  < 88.25 or 90 <  ≤105 )
- 		 and  < 0

- Fixed MC

|  | Old 0h | Fixed 0h |
| --- | --- | --- |
| Reco  MS | 87.01% | 92.10% |
| Reco  KS | 96.03% | 92.42% |
| ID efficiency | 90.19% | 90.67% |

## How to proceed?

- The CMX fixes already in revision 1.13 of fiducial tool.
-   Ntuples made with release 6.1.3 or later are fine
-   Stntuple datasets made on the farms after November 22, 2005
- have this fix
- _Many of the 0h datasets_ made earlier (for instance the high pt muon)
- Find list on stntuple blog:
- http://www-cdf.fnal.gov/tiki/tiki-view_blog.php?blogId=11
- _0i Stntuples_: new efficiency applies
- _Gen6 MC:_ fixed if ntuplized with 6.1.3 (or later) or after Nov 22.
- 	ONLY an issue for analyses using MS/KS
- Right now trying to reproduce the big difference with 0h and 0i
- Stntuples.

## A few other peculiarities ...

- Recommendation is to not use wedge 14 west triggered muons for runs 190697 – 209760
- ID and reco efficiencies in wedge look ok

- CMUP reconstr. efficiency

**See also talk**
**in JP June 1**
**by U. Grundler**

## BMU’s are here!

-  High pt BMU’s blessed for full dataset
-  Ready to use BUT:
-    10 cm misallignment in z
-    additional fiducial cuts needed
- Hope to have BMU triggers studied
- before next iteration
- _First look at low pt:_
-  Recommended COT track quality cut
-   is hit fraction  60%
-  Don’t have this info so use alternative
-   cut with loose COT cut
-  Efficiencies OK but worry about fake rate

**CDF**
**note**
**8088**

## More dependencies

- Reco eff
# Presentation: 746418

## National Synchrotron Light Source II

**Project Management**
**Jim Yeck**
**NLSL II Deputy Director (Project Management)**

## Overall Project Strategy

_** **_
** ****Emphasis on schedule and critical path activities**
** **Schedule development currently not constrained by funding
-  Conventional facilities are on the critical path until 2010
** ****Relatively tight cost baseline with adequate contingency**** **
-  Strictly controlled and administered cost baseline
-  Roughly 35% overall project contingency at CD-1
** ****Provision for scope adjustments based on experience **
-  Expect some scope restoration under normal market conditions
-  Some scope reductions (scope contingency) are also possible

## Work Breakdown Structure

_** **_

## Milestones

| DATE | Milestone | Activity |
| --- | --- | --- |
| Aug. 2005 | CD0 | Approve Mission Need; Commence Conceptual Design |
| Jan. 2006 |  | Initiate EA, AE/CM Solicitation/Selection |
| Aug. 2006 |  | Submit Acquisition Strategy, etc |
| Oct. 2006 |  | Approve Acquisition Strategy; Approve EA & issue FONSI; Committee Reviews |
| Nov. 2006 |  | Complete CDR, Preliminary Cost Estimate and Schedules |
| Dec. 2006 |  | CD1 Lehman Review |
| Jan. 2007 | CD1 | Approve Alternate Selection and Cost Range; Commence Title I Design |
| Dec. 2007 | CD2/CD3a | Approve Performance Baseline; Commence Title II Design; Long Lead Procurements |
| Sep. 2008 | CD3b | Approve Start of construction |
| 2009 |  | Construction underway, 15 months to Linac “beneficial occupancy”. |
| 2011 |  | Installation and subsystem integration. |
| 2013 | CD4a/CD4b | Complete construction, installation, and commissioning. Begin operations. |

## Summary Schedule

##  “Notional” Funding Profile

**(in $ millions)**

|   | FY05 | FY06 | FY07 | FY08 | FY09 | FY10 | FY11 | FY12 | FY13 | Totals |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Other Project Costs | 1 | 4.8 | 25 | 20 | 5 | 4 | 10 | 20 | 46.2 | 136 |
| Project Engineering and Design |  |  | 20 | 42.5 | 2.5 |  |  |  |  | 65 |
| Long-Lead Procurement |  |  |  | 10 |  |  |  |  |  | 10 |
| Construction |  |  |  |  | 127 | 165 | 150 | 100 | 47 | 589 |
| Totals | 1 | 4.8 | 45 | 72.5 | 134.5 | 169 | 160 | 120 | 93.2 | 800 |

- Note: Funding in FY05-FY07 is actual. The funding profile for FY08 and later is notional and will depend on the annual appropriation process.

## Funding vs. Requirements

## Next Steps

** ****Finalize scope, cost estimate, and contingency estimates**
** **Scope definition and WBS dictionary clarification
-  Bottoms-up risk assessment and contingency estimates
** ****Complete schedule development**
** **Improve schedule logic and general technical realism
** ****Consider advice of internal advisory committees**
** ****Establish resource and funding requirements**
# Presentation: 224098

- Explore the suggestion that CRI use different stage-specific mortality values
- Discuss recent calculations of S1 and Se
- Examine changes in CRI conclusions as a result of changes in S1 and Se

## Definitions

- Se  - Estuarine Survival
- Set to 0.07 based on published literature
- Solved for to produce SARs reported by Williams *(Williams et al., in review, N. Am. J. Fish. Manage.)*
- S1  - Survival from egg to smolt
- Calculated by solving Euler’s equation

## S1 

- 0

- 0.01

- 0.02

- 0.03

- 0.04

- 0.05

- 0.06

- 0.07

- From BY 1980-93 SARs

- From BY 1990-93 SARs

- 1980-99 with Se of 0.07

- 1990-99 with Se of 0.07

- STUFA

**S****1**** **

- = 1 SD

- 0

- 0.02

- 0.04

- 0.06

- 0.08

- Literaturevalue

- From BY 1980-93 SARs

- From BY 1990-93 SARs

- STUFA

**S****e**

## Original CRI Sensitivity Analysis (R/S from BY 1980-90; se = 0.07)

- _Conclusion_:  ***Both*** first year and estuarine mortality have large effects on lambda

## Revision of CRI Sensitivity Analysis with R/S from BY 1980-94; se = 0.07

- _Conclusion_:  ***Both*** first year and estuarine mortality have large effects on lambda

- = 1 SD

## Revision of CRI Sensitivity Analysis with R/S from BY 1980-94; se = 0.041

- _Conclusion_:  ***Both*** first year and estuarine mortality have large effects on lambda

- 0

- 10

- 20

- 30

- 40

- prop.

- transported

- down

- -

- river

- first year

- Bon to

- Basin

- harvest

- fecundity

- adult

- 0

- 10

- 20

- 30

- 40

- prop.

- transported

- estuary

- first year

- Bon to

- Basin

- harvest

- fecundity

- adult

- % change in lambda

- = 1 SD

## Revision of CRI Sensitivity Analysis with R/S from BY 1990-94; se = 0.015

- _Conclusion_:  ***Both*** first year and estuarine mortality have large effects on lambda

- 0

- 10

- 20

- 30

- 40

- 50

- 60

- prop.

- transported

- down

- -

- river

- estuary

- first year

- Bon to

- Basin

- harvest

- fecundity

- adult

- % change in lambda** **

- 0

- 10

- 20

- 30

- 40

- 50

- 60

- prop.

- transported

- down

- -

- river

- estuary

- first year

- Bon to

- Basin

- harvest

- fecundity

- adult

- = 1 SD

## The Bottom Line

- Use of SARs to determine Se / S1 is a good idea and we will adopt this as a standard procedure
- CRI is an approach based on data and can easily accommodate new / better data as they become available
- Data are most useful when they are
- Directly measured (= empirical)
- Published in peer reviewed journals

## How much improvement in lambda is needed to reduce risk?

- % increase in  necessary to reduce extinction risk to < 5% in 100 years
- Standard metric used by IUCN in risk assessment
- % increase in  necessary to reduce probability of 90% decline in 100 years to < 5%.
- Less sensitive to errors in estimates of stock size
*Note: these levels are ****not**** policy statements*

## Sensitivity of lambda to changes in harvest

- Based on total (ocean + in river) harvest
- Average 1980s-early 90s
- Harvest is current much reduced from these levels
- Change in lambda is a function of harvest rate and generation time
# Presentation: 494323

## Termination  Cancellation Policy

## Cancellation vs. Termination

- Cancellation – equitable remedy – allows both parties to the contract to terminate the contractual relationship
- May or may not request recovery cost
- Termination – result of a material breach of the terms and conditions of the contract.   Adverse action
- Participant needs to be provided an opportunity to remedy the violation (field level)
- Usually results in assessment of liquidated damages

## Contract Cancellation

- Natural disasters preventing completion of contract provisions
- Documented hardship
- Death
- Major illness
- Bankruptcy
- Destruction of farm or ranch property through fire or theft
- In the public interest and beyond the participant control

## Contract Termination

- Participant or land becomes ineligible
- Participant transfers ownership or loses control of land under contract
- Participant has violated the terms of the contract and has failed to correct and comply within a reasonable time
- Participant fails to install, operate, or maintain one or more practices or activities required to meet the contract objectives
- Participant’s actions pose a threat to the health and safety of NRCS employees
- Participant is determined to have
- Knowingly misrepresented any fact affecting a program determination
- Adopted any scheme or device that tends to defeat the program purpose
- Made any fraudulent representation

## Recovery of Cost

- Recovery of cost include an estimated value of technical assistance (liquidated damages), and a refund of financial assistance (cost-share obligations)
- Liquidated damages can be up to 20% dependent on year of contract and/or appendix
- Liquidated damages is the amount above and over repayment of financial assistance
- Cost – share obligations
- Refund of payment can be reduced if State Conservationist determines:
- That failure to perform the remaining practices on the contract will not impair the effectiveness of those performed
- Assurance that performed practices will provide conservation or environmental benefits consistent with program goals and objectives
- Assurance that performed practices will be operated and maintained by the producer for the life span of these practice

## QUESTIONS
# Presentation: 711182

## Lipha Pharmaceuticals, Inc.

**May 10, 2002**
**Psychopharmacologic Drugs****Advisory Committee Meeting**

## Introduction

**Anita M. Goodman, M.D.**
**Executive Vice-President and COO**
**Lipha Pharmaceuticals, Inc.**

## The Toll of Alcohol Dependence

**Over 8.1 million alcohol-dependent people in the United States**
**Economic cost: $185 billion per year**
**100,000 deaths per year**

**From: Fuller, R.K., Gordis, E.****Editorial: Naltrexone Treatment for Alcohol Dependence****NEJM 345:1770-1771, 2001**

## Pharmacotherapy and Alcoholism

**Paucity of available approved medications**
**Disulfiram (aversive agent)**
**Naltrexone (opioid antagonist)**
**Lingering resistance to treatments other than psychotherapeutic**
**Lack of universally accepted outcome criteria**

## European Development Program and Current Registration Status

**Sylvie Chabac, M.D.****International Project Manager****LIPHA s.a.s.****Lyon, France**

## Why Pivotal?

**Qualities of All Studies:**
**Study conducted by qualified investigators**
**Study conducted according to existent Good Clinical Practice standards**
**Study conducted according to specified protocol**
**Existent case report forms**
**Electronic data base**

**Source: ISE Section 8.7.1.2.3 **

## Why Pivotal?

**Additional Qualities of Selected Studies**
**Study centers still active, with accessible medical records and source documents (permitting site audit by FDA)**
**CROs still active**
**2 dosage levels **

**Source: ISE Section 8.7.1.2.3 **

## Acamprosate: Mechanism of Action, Preclinical Effects, and Pharmacokinetic Overview

**George F. Koob, Ph.D.****Professor, Department of Neuropharmacology****Director, Division of Neuropharmacology****The Scripps Research Institute****La Jolla, CA**

## Efficacy Results from Three Pivotal Efficacy Trials

**Karl F. Mann, M.D.****Professor and Chairman****Department of Addictive Behaviour ****and Addiction Medicine****Central Institute of Mental Health of Mannheim****University of Heidelberg****Mannheim, Germany**

## Analysis of the US Study Results

**Barbara J. Mason, Ph.D.****Professor, Department of Psychiatry****and Behavioral Sciences****Director, Division of Substance Abuse****University of Miami School of Medicine****Miami, FL**

## Acamprosate: Issues

**Why were the efficacy results from the US trial inconclusive in contrast to the consistently positive European studies?**
**Were the methodologies in these trials appropriate?**
**Are alcohol dependent populations in Europe and the United States comparable? **
# Presentation: 547871

## Christmas fernPolystichum  acrostichoides  (Michx) SchottSynonyms:  Aetopteron  acrostichoides, Aspidium  acrostichoides,                    A.  Schweinitzii,  Dryopteris  acrostichoides,  Nephrodium  acrostichoides, Polypodium  acrostichoides,  Thelypteris  acrostichoides.Other common name:  Polystic faux-acrostic.

**CULTURALLY:**
- The common name, "Christmas fern", was given because it stays green all year and the pinnae resemble small Christmas stockings.
**MEDICINALLY:**
- The Cherokees used the plant frequently.  Brewed into a tea it was drunk to treat for toothaches, chills, fever, pneumonia and rheumatism.  Topically it was applied on rheumatic joints.

- Photo courtesy of:  J.S. Peterson. _[USDA NRCS NPDC](http://npdc.usda.gov/)_. USDA ARS National Arboretum, Washington, DC. June 27, 2003. This image is not copyrighted and may be freely used for any purpose. Please credit the artist, original publication if applicable, and the USDA-NRCS PLANTS Database. The following format is suggested and will be appreciated:  **J.S. Peterson** @ USDA-NRCS PLANTS Database.

- Slide developed by Pat Broyles, Soil Conservationist, Manhattan, KS. PMC.  USDA is an equal opportunity employer.
# Presentation: 850835

## Watch/Warnings in CAPNWS Partners Meeting

**	**

**Bob Bunge****OCIO ****6/20/07**

## Common Alerting Protocol (CAP)

**Non proprietary digital message format, based on XML, that provides for Interoperability in all-hazard warning**
**Compatible with current geocoding schema (e.g., NWR Specific Area Message Encoding and Emergency Alert System)**
**Partnership for Public Warning**
*Warning systems in the United States today are “a patchwork of technologies and processes.”*
*Need to distribute warnings consistently over all available channels.*

##         Why CAP?

- Lower cost of entry to use mission critical NWS text products
- International Standard
- Integration with GIS technologies
- Standard format for NWS text products
- Entry into cell phone text message space
- Opens up use of upper/lower case
- Modern electronic data format
- Others
*Phased and delayed effective times and expirations *
*Enhanced message update and cancellation features*
*Multilingual and multi-audience messaging*
*Digital encryption and signature capability *
*Facility for digital images, audio and video*

## Current Offerings

**Basic CAP format offered over web started 2003**
**Much interest, heavily downloaded**
**Many requests for better parsing**
**Web CAP V2 process started spring ’07**
**Purposefully kept in Experimental status**

## OSIP SON Approach

- Short term (3-6 months)
*Continue current enhancment of web-based CAP feeds*
*Add CAP elements*
- Medium term (9-15 months)
*Centrally generate CAP messages with WMO “envelope” to be broadcast in parallel with current WMO-formatted products over NOAAPORT and NWWS*
*Better quality control*
*Eliminate web production of CAP*
- Long term (2-5 years)
*Native CAP generated by Next Generation Warning Tool with mixed case, expanded character set, and fully populated CAP elements*
*Generate WMO-formatted products from CAP messages*
*Disseminate both*

**Engage**
**Partners**

## Partner Feedback

**Significant partner participation in CAP telecons to date. **
**Partners understand need to engineer and analyze, but want project to move very swiftly.  **
**Partners grasp the issues around putting the solution in the AWIPS baseline**
**Short term: Want CAP feeds to be updated on web faster**

## The Road Ahead

**Move to CAP is a journey, not an event**
**Finding the line between perfection and moving quickly**
*Short/mid term solutions will have issues*
**Mapping between NWS watch/warning/advisory and CAP Urgency/Certainly/Severity**
**Charting a course for specific CAP/NWS alert behavior(s)**
**Short/Mid term solutions offer a chance to test and learn for the long term**
**NWS will be primary provider of CAP and set examples for others to follow**

## CAP Summary

**Journey is complex and challenging, but feasible**
**Strong partner support**
**Moves NWS text products into the 21****st**** century**
**Great enhancement for the mission**

## Bob BungeNWS/OCIOInternet Dissemination Officer

_**[Robert.bunge@noaa.gov](mailto:Robert.bunge@noaa.gov)**_
**301-713-1381 x140**
# Presentation: 696140

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

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

***Total SARs: 10,643***

## Characterizations of Suspicious Activity for the State of New Hampshire

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

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

## New Hampshire Mortgage Loan Fraud SAR Filing Trend For the Period April 1, 1996 through December 31, 2007

***Total SARs: 247***

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

## Suspicious Activity Report Geographic Pattern for the State of New Hampshire For the Period January 1, 2006 through December 31, 2006

**Note: Statistics based on Filer Branch Address**

## Suspicious Activity Report Geographic Pattern for the State of New Hampshire For the Period January 1, 2007 through December 31, 2007

**Note: Statistics based on Filer Branch Address**
# Presentation: 184919

## Dynamics of BiopolymersAlexei P. Sokolov, University of Akron, DMR-0315388

- Using the knowledge accumulated in the field of Polymer Dynamics we studied the role of solvents in biomolecular dynamics, activity and stability.
- We demonstrated that the dynamic transition that ignites the biochemical activity is solvent driven and appears at the same temperature range for hydrated biological macromolecules regardless of their chemical and 3-D structure.
- By changing hydration, we were able to identify the dynamic process that is directly connected to enzymatic activity.
***Phys.Rev.Lett. 95****, 038101 (2005); ****J.Amer.Chem.Soc. 128****, 32 (2006); ****Biophys. J.**** (2006, in print)** . *

**        ****Lysozyme                    RNA**

- Mean-squared displacement of atoms in hydrated and dry biopolymers. Sharp increase in <x2> appears at the same T regardless of structure of the hydrated bio-molecules.

## Dynamics of BiopolymersAlexei P. Sokolov, University of Akron, DMR-0315388

**Outreach: **Our group is involved in teaching school students through the Science Fair and the University of Akron *Math and Science Upward Bound* Program for disadvantaged students. We also work with the Akron Global Polymer Academy to assist K-12 science instruction via distance learning and personal interaction.  Dr. Sokolov works with students from Copley-Fairlawn Middle school (CFMS), in particular, helping them with preparation for Science Olympiad. *The team from CFMS won regional competition and became 7**th** in the State of Ohio in 2006.* These are the best achievements ever for this school.

- Dynamics of BiopolymersAlexei P. Sokolov, University of Akron, DMR-0315388

- Team of Copley-Fairlawn Middle School won Regional Science Olympiad competition in 2006. The picture shows the team during award ceremony.
# Presentation: 936204

## LARP Magnet R&D Overview Steve Gourlay DOE LARP ReviewFNAL June 13, 2006

- LARP Magnet R&D Overview Steve Gourlay DOE LARP ReviewFNAL June 13, 2006

## US LARP Magnet Program

**Large aperture, Nb****3****Sn Quadrupoles for LHC Upgrade**

- 90 mm
- > 250 T/m

- High Performance
- Conductor Development

- Length
- Scale-up

## Magnet Program Goals

**Provide options for future upgrades of the LHC Interaction Regions**
**Demonstrate by 2009 that Nb****3****Sn magnets are a viable choice for an LHC IR upgrade**
**Focus on major issues:**** ****consistency, bore/gradient (field) and length**

- 1.

**Predictable and reproducible** **performance**
**TQ models (1 m, 90 mm aperture, G****nom**** > 200 T/m, B****coil**** > 12 T)**
**Long magnet** **fabrication**
**	****LQ models (4 m, 90 mm aperture, G****nom**** > 200 T/m, B****coil**** > 12 T)**
**High gradient** in **large aperture**
**        ****HQ models (1 m, 90+ mm aperture, G****nom**** > 250 T/m, B****coil**** > 15 T)**

##  Goal #1 Predictable and Reproducible Performance

- Sub-scale Quadrupoles (SQ)
- Conductor evaluation
- Analysis validation
- Technology Quadrupoles (TQ)
- 90 mm aperture
- Gradient > 200 T/m
- Explore alternate structures using “identical” conductor
- Basis for scale-up

## Goal #2 Long Magnet Fabrication

- Goal #2 Long Magnet Fabrication

- Long Racetrack
- Coil fabrication scale-up based on well-understood sub-scale coils
- Explore scale-up of shell-based support structure
- Mirror dipole scale-up via FNAL core program
- Followed by . . .
- Long quadrupole (LQ)
- 3.6 m quadrupole based on TQ cross-section

## Goal #3 High Gradient in a Large Aperture

- High Gradient Quadrupole (HQ)
- Explore ultimate performance
- Increase peak field on the coil to ~ 15 T
- Precursor to larger aperture

**4-layer: G=280-310 T/m**

**Subject of Design Studies**

## Target Program

## Program Elements and Timeline

- Phase I -  initial focus on developing technology base
- Start aggressively
- evaluate status and the challenge ahead
- But . . . be conservative and focused enough to meet LHC goals.
- Phase II – focused development of IR quad

- Phase I

- Phase II

- R & D

## Magnet Program Flowchart

## Snapshot

**Primary Focus**
**Technology Quad (TQ) Program**
**And supporting activities***
**Long Quad (LQ) Program**
**And supporting activities***
**Materials**
*******Long Racetrack (LR), 3D analysis, cable testing, targeted design studies**

**Secondary ****(but very important)**
**Design Studies**
**Integrative (cryo, IR, . . .)**
**High Gradient Quad (HQ) **
**Addresses future possible requirements**
**Push limits of technology**
**Rad-hard materials**

## Organization

**Magnet Steering**
**Committee**

**Test Integration Group**

- Lab representatives oversee
- tasks/sub-tasks at host laboratory

**Magnet Steering Committee (MSC)**
- – **Define program, identify tasks and assign task managers**
- Lab Representatives and L2’s
- G. Sabbi, A. Zlobin, A. Ghosh,
- G. Ambrosio, S. Gourlay,
- P. Wanderer, M. Lamm
# Presentation: 669270

## ITA HQ & Domestic Upper Grade Levels – July 2006

**ITA HQ & Domestic Upper Grade Levels – July 2006**

-                                  Total # GS-13 & Above:  _833_    (60.4 % of HQ & Domestic ITA Population)

- _Minority Group_:              _Total ITA Population_:      _#s  in Grades GS-13 and Above_:          _Percentage in upper grades_:
- Black                                               247                                           77                                                  31.1%
- White:                                             995                                          690                                                 69.3%
- Asian:		         77                                            38                                                  49.3%
- Hispanic:                                          57                                           28                                                  49.1%
- AmInd                                              01                                             0                                                     --
# Presentation: 765180

## Anisotropic Flow in the Forward Directions  

-  in hydro picture, pressure gradients lead to collective motion (flow) of particles
-  to measure anisotropic flow: perform a Fourier decomposition on the particle’s emission angles with respect to the reaction plane
-  apply resolution corrections
-  contributions of non-flow effects might affect the measured flow signal
-  extensions of the standard method, like cumulants and Lee-Yang zeros, try to cope with these problems

**Anisotropic Flow in the Forward Directions **** **
- Markus D. Oldenburg (*Lawrence Berkeley National Laboratory, Berkeley*) and
- Jörn Putschke (*Max-Planck-Institut für Physik, Munich*) for the STAR collaboration

**The STAR Forward TPCs (FTPCs)**

-  v1 ≈ 0 at mid-rapidity
-  slope of (-0.25 ± 0.27)% per unit of pseudorapidity at        |η| < 1.2
-  sign of v1 arbitrary in this analysis
-  sign plotted to be in agreement with measurements at lower energies
-  great difference between STAR and unshifted NA49 results
-  in projectile frame relative to the respective beam rapidities STAR and NA49 look the same

**Directed Flow v****1**

**Anisotropic Flow**

-  extend the pseudorapidity coverage of STAR into the region 2.5 < |η| < 4.0
-  about 70,000 events including both FTPCs were taken at					   (RHIC run 2)

**Future Developments – **
**Lee-Yang zeros**

-  First attempts to use the recently proposed method by Bhalerao *et al. *[3] utilizing Lee-Yang zeroes are promising.
-  non-flow contributions of higher order particle correlations are reduced by construction
-  implementation much easier than for the cumulants

- [3] R.S. Bhalerao, N. Borghini, J.-Y. Ollitrault, Nucl. Phys. A 727 (2003) 373

- [1] J. Adams *et al.* (STAR collaboration), nucl-ex/0310029; accepted for publication in Phys. Rev. Lett.

-  good pseudorapidity resolution of  less than 5%  for all eta and pt

- [2] S. Manly, Nucl. Phys. A 715 (2003) 611c

-  comparison of different methods suggests less non-flow effects in the forward regions

-  fall-off from mid-rapidity to forward  rapidities (as seen by PHOBOS [2]) confirmed

- preliminary

**New method to measure v****1****{EP1,EP2}**

-  combine good capabilities to measure v1 in the FTPCs and v2 in the TPCs
-  measure
-  apply resolution correction:
-  results are in reasonable agreement with v1{3}

**The Fourth Harmonic v****4**

-  v4 almost flat (like v2) at mid-rapidities:                           v4(TPC) = (0.4 ± 0.01) %
-  consistent with zero in the FTPCs: v4(FTPC) = (0.06 ± 0.07) %
-  2σ upper limit of 0.2 %
-  fall-off of v4 from mid-rapidity to forward rapidities stronger than for v2
-  consistent with scaling: v4 ~ v22

- η

**The sign of v****2**

-  new method allows for direct measurement of v12v2
-  best results are obtained if v1 is measured in both FTPCs separately and v2 is measured in the TPC only

-  RHIC run 4 will greatly enhance our data sample and reduce statistical fluctuations of our measurements of anisotropic flow.

-  mean value of (1.08 ± 0.46)·10-5 confirms that v2 is positive

**Elliptic Flow v****2**

- preliminary
# Presentation: 337919

## Procedure for Obtaining & Comparing Land and Water Temperature data Using MY NASA DATA’s Live Access Server

## Step 1

- On the main web page, under Create Your Own Microsets, click link Live Access  to Data, then click Live Access Server (Armstrong)
- Click on *Land* *Surface*

## Step 2

-  Click on *Surface Conditions*

## Step 3

- Select the box for *Monthly Surface Clear-sky Temperature (ISCCP)  *
- Click on NEXT (this is located to the right of the page in red)

## Step 4 

- On the left side menu, there are two tabs.  Select the tab “compare two”
- This will allow the LAS to compare two datasets

## Step 5

- After clicking on the “compare two” tab this is the screen you should see
- By default the second dataset is the same as the first one
- Click on “Use Interactive Map” located above the map

## Step 6

- In the *Select View* drop-down menu, highlight Time Series
- In the *Select Output* drop-down menu, highlight Overlay Plot
- In the *Select Region* drop-down menu, highlight Full Region (default)
*Select Time: *Set the time range so that the time period is from Jan 2000 to Dec 2000
- .

## Step 6

- There are two radio buttons for variables. Click the radio button for “var 1”
-  The coordinates' box is shaped like a compass.
- In the* North* position's box, type 44 N. This sets the northern boundary for the plot.
- In the *East* position's box, type 72 W then click in the box for the west position. This will automatically set the corresponding West position's box with the same value.
- This point is over land.

## Step 7

- Click on the radio button for “var 2”.  The *view, output, region, *and* time range* should remain the same as they were for Variable 1
- In the north box, enter 44 N and in the eastern box enter 52 W since we want to compare the land data with a water location
- Click on NEXT (this is located to the right of the page in red)

## Step 8

- The graph will appear in a pop-up window.  Note: some browsers have a pop-up blocker.  Be sure pop-ups are enabled for this site or press and hold the Ctrl key and click Next.
# Presentation: 205553

## Cox-2 vs.Other NSAID Use in Children with JRA

- Data from a cohort study, Beth Gottlieb, MD,  Asst. Professor of Pediatrics, Schneider Children’s Hospital, New Hyde Park, NY

**Kathleen A. Haines, MD**
**Section Chief, Pediatric Immunology**
**Section of Pediatric Rheumatology and Immunology**
**Hackensack University Medical Center**
**Hackensack, NJ**

## Long Term Outcome Study of Children with JRA

- Prospective observational, multi-center study of children with JRA enrolled at onset
- Purpose was to collect data on outcomes of the various treatments used by pediatric rheumatologists
- Non-interventional study
- Support was obtained from the Arthritis Foundation

## Long Term Outcome Study of Children with JRA

- Rheumatologists participated in an IRB-approved study
- Enrolled patients within 6 weeks of diagnosis
- Treatment was initiated according to the treating MD’s usual practice
- At enrollment and on an annual basis, data including physical exam, treatment given, side effects of treatment and outcome measures were recorded and sent to the coordinating center
- Two cohorts were available for study
- Cohort 1 -- diagnosed between 1996-1999
- Data collected by Suzanne Bowyer, MD, James Whitcomb Riley Children’s Hospital, Indianapolis, IN
- Cohort 2 – diagnosed from 2001 to present
- Data collected by Beth Gottlieb, MD, Schneider Children’s Hospital, New Hyde Park, NY

## Long Term Outcome Study of Children with JRA

- 1115 patients are in the data base (from both cohorts)
- 60% Pauciarticular JRA
- 32% Polyarticular JRA
- 8% Systemic Onset JRA
- 35 patients were not classified
- 588 on NSAIDS had evaluable data
- 58 took a COX-2 inhibitor (rofecoxib or celecoxib)
- No serious adverse events were reported

## Long Term Outcome Study of Children with JRA

|  | COX-2
N=58 | Other NSAID
N=530 |
| --- | --- | --- |
| Cardiovascular | 0 | 0 |
| Abdominal pain | 5 | 4 |
| Skin changes | 0 | 4 |
| CNS (mood,hyperactivity) | 2 | ? |
| Other | 0 | 4 |
# Presentation: 827959

## A Multi-Angle Approach to Mapping Forest and Shrub Canopy Structure in the Southwestern US

- NASA Carbon Cycle and Ecosystems Workshop, Adelphi, MD, August 21-25, 2006. Acknowledgments: This work was supported by NASA grant NNG04GK91G under the EOS/LCLUC program (program manager: Dr. Garik Gutman). Oblique aerial photo: Scott Bauer, USDA, ARS Photo Unit. Data credits: NASA/JPL/LARC; USDA, ARS, Jornada Experimental Range; The Global Land Cover Facility (http://www.landcover.org).  Further results are at http://csam.montclair.edu/~chopping/wood/

**Results:** Woody plant cover shows a good if biased relationship to cover from QuickBird-derived shrub maps (Fig. 2) and MODIS Vegetation Continuous Fields % Tree Cover (Fig. 3); cover and height show a match with Forest Inventory Analysis Maps (Figs. 4 and 5). Regional-scale maps give very reasonable distributions (Figs. 6, 7, and 8). Inversions took ~1 hour.

-             Mark Chopping1, Lihong Su1, Andrea Laliberte2, Albert Rango2, Gretchen Moisen3, and John V. Martonchik4
- Earth & Environmental Studies, Montclair State University, Montclair, NJ    2. USDA, ARS Jornada Experimental Range, New Mexico State University, Las Cruces, NM
- 3. USDA, US Forest Service Rocky Mountain Research Station, Ogden, UT    4. NASA/JPL, Pasadena, CA

- Regional Crown Cover and Canopy Height from MISR

- Figure 7. Retrieved mean canopy height for SE Arizona and S New Mexico
- Black: close to zero
- VIBGYOR:  0.06 - 15.10

- Figure 8. Dot product of crown cover and mean canopy height (a surrogate of aboveground woody biomass).
- Grayscale: 0.00 - 2.00
- VIBGYOR:  2.00 - 11.00
**Conclusions: **Multi-angle data are sensitive to canopy structure and can be exploited to provide maps of woody plant cover and canopy height over large areas. Further work is required to validate these retrievals.

- Figure 6. Retrieved woody plant crown cover for SE Arizona and S New Mexico
- Black:       cover < 0.05
- Grayscale: 0.05 - 0.30 (shrubs)
- VIBGYOR:  0.30 - 0.99 (trees)
- White: cloud cover and White Sands National Monument (gypsum dunes and alkali flats)