BEE-spoke-data/govdocs1-by-extension huggingface dataset:
# Presentation: 825359

## Unsupervised and SupervisedTracking

- Hema Raghavan

- UMASS-Amherst at TDT 2004

## Outline

- Create a training corpus
- Unsupervised tracking
- Supervised Tracking
- Discussion

## Creating a training corpus

- For Tracking
- 50% topics are English
- 50% are multilingual
- Created a training corpus (supervised and unsupervised)
- 30 topics from TDT4
- 50% stories with primarily English topics.
- 50% multilingual stories

## Unsupervised Tracking Ideas

- Ideas
- Models
- Vector Space
- Relevance Models
- Adaptation
- Native Language comparisons

## Unsupervised Tracking Models

- Vector Space
- TF-IDF
- IDF is incremental
- Relevance Models
- State of the art, high performance system
- Adaptation

## Native Language Hypothesis

- TDT tasks involve comparisons of models:
- Story link detection: sim(*S**i*, *S**j*)
- Topic tracking: sim(*S**i*, T*j*)
- It is more effective to measure similarity between models in the original language of the stories, than after machine translation into English
- Quality of translation
- Differences in score distributions
- Trivially obvious?  Hard to demonstrate in tracking

## Topic tracking with Native Models [SIGIR 2004]

## Unsupervised Tracking Results(training set: nwt+TDT4)

## Submitted Runs

- TF-IDF (UMASS4)
- TF-IDF + adaptation (UMASS1)
- TF-IDF + adaptation + native models (UMASS2)
- Relevance Models + adaptation (UMASS5)
- All submissions for primary evaluation condition.

## Slide 10

## Unsupervised Tracking Results

| Model | Min-Cost | System Cost |
| --- | --- | --- |
| TF-IDF | 0.0736 | 0.0973 |
| TF-IDF + adaptation | 0.0905 | 0.1545 |
| TFIDF + adaptation+ native lang. | 0.0910 | 0.1186 |
| RM  + adapt | 0.0561 | 0.0616 |

## Supervised Tracking

- Creating a newswire only training corpus.
- Ideas
- Models
- Vector Space
- Relevance Models
- Native Language comparisons
- Incremental Thresholds
- Negative Feedback

## Incremental Thresholds

- Utility
- Relevance judgments for both Hits and False-Alarms
- Increment the YES/NO threshold  by    when Utility falls below zero.

## Negative Feedback

- Relevance judgments for both Hits and False-Alarms
-                   for a hit.
-                     for a false alarm.

## From Unsupervised to Supervised

## Native Language Comparisons

## Submitted Runs

- Rel. Models (UMASS-2)
- Optimized for TDT cost
- Rel. Models + Inc. Thresholds (UMASS-1)
- TF-IDF + adaptation + neg. feedback + inc thresholds (UMASS-3)
- TF-IDF + adaptation + native models (UMASS-4)
- TF-IDF + adaptation + native models + neg feedback + increase thresh. (UMASS-7)

- Optimized for T11SU

## Supervised Tracking Results

- Cost: 0.0467

## Results and Discussion

- Supervision clearly helps.
- Relevance models – a clear winner.
- Negative Feedback helps.
- Training set did not reflect test very well.
- Min-cost versus T11SU

## Future Work

- Exploration Exploitation trade-off.
- What about feedback that is less on demand?
- more realistic
- Can add costs for judgments.
- What about feedback like in the HARD task – Clarification forms?
# Presentation: 318471

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# Presentation: 591906

## Review Committee 

## What to Expect

- Generally very little familiarity with accelerator complex
- All topics should be fully explained and justified.
- By and large, a good tempered crowd
- I wouldn’t expect much badgering, but...
- These are good people who may ask tough questions.

## General Advice from Last Time

- Need more justification
- Expand introductory talk
- Each talk must contain motivation (even if the speaker doesn’t write that part of the talk)
- Need to practice
- Work out our differences beforehand

## Schedule: Day 1

## Schedule: Day 2

## Approaching Review

- Wednesday, August 17th:receive final talks
- Thursday, August 18th: rehearse
# Presentation: 506524

## METS from scratch

- Jerome McDonough
- New York University
- October 21, 2003

## steps to a METS object

- analyse object
- decide on extension schema
- create root <mets> element
- build file section
- build structural map
- build administrative metadata
- build descriptive metadata
- build <metsHdr>

## object analysis

- three content files: _[high bit rate MPEG4](file:///scanmovie_final.mpg)_, _[low bit rate QuickTime](file:///scanmovie_final_qt.mov)_, and _[TEI text transcription](http://scanmovie.tei.xml/)_
- how many manifestations are we dealing with?
- what’s the intended use?
- is there innate structure to manifestations?
- do we want to present that structure?
- what do we need to manage this object?
- what do we need to let users find this?

## extension schema

- descriptive metadata
- administrative metadata
- technical
- rights
- digital provenance
- source
- XLink

## root <mets> element

- attributes: OBJID, LABEL, TYPE, PROFILE
- namespace declarations
- schemaLocation declaration

## building the file section

- file grouping
- file specific technical metadata
- internal vs. external files
- file location mechanisms
- welcome to XML namespacing
- the GROUPID attribute

## building the structural map

- <div> structures
- content file affordances
- plain <fptrs> vs. use of <area>/<par>/<seq> elements

## building administrative metadata

- internal vs. external
- welcome to XML namespacing (again)
- relating files to administrative metadata

## building descriptive metadata

- internal vs. external
- relating object, files to descriptive metadata

## building the <metsHdr>

- why altRecordID?

## a few final words of advice

- validation is your friend; make sure your XML software *really* validates everything, including extension schema sections.
- if you are creating content (say, TEI), make sure you create it in a way that makes it easy to build METS around it.
- simpler is better.
- METS profiles are even better friends than validation.
# Presentation: 369997

## Original MUSLE

- Y=95.*(Q*qp )0.56*K*C*P*LS
- Y=sediment yield in tons
- Q=runoff volume in ac-ft
-  q p=peak runoff rate in cfs
-       KCPLS=linear USLE factors

## MUSLE Development

- 778 runoff events
- 18 small watersheds (1 ha – 1773 ha)
-        16 watersheds at Riesel, TX
-         2 watersheds at Hastings, NE
-         slope range (0.94 - 5.9%)

## MUSLE Metric Unit/Area

- Y=1.586*(Q*qp)0.56 *(A)0.12* K*C*P*LS
-         Y=sediment yield (t/ha)
-         Q=runoff volume (mm)
-         qp =peak runoff rate (mm/h)
-         A=watershed area (ha)

## MUSS

- Small watershed MUSLE
-          Based on a subset of the 778 events
-          Areas < 71 ha
-          No defined channel
-     Y=0.79*(Q*qp)0.65 *(A)0.009*K*C*P*LS

## MUST

- Theoretically derived MUSLE
-         Y=2.5*(Q*qp)0.5*K*C*P*LS

## MUST Derivation

-      Y(t)=Q(m3)*C(t*m-3)
-      Y(t/ha)=Q(mm)*10(m3*mm-1)*C(t*m-3)
-       C=f((qp/Q)*K*C*P*LS
-       C=0.25*(qp/Q)0.5*K*C*P*LS
-       Y=2.5*Q*(qp/Q)0.5*K*C*P*LS
-       Y=2.5*(Q*qp)0.5*K*C*P*LS

## Data Base

- USLE factors, runoff, and sediment
-         3695 runoff events
-         63 watersheds
-        Area range (1 – 23,372 ha)
-              IA, ID, MS, NE, OK, TX, WA

## Future Development

- Continue working with theoretical derivation
-          Improve concentration component
-               Rainfall energy
-               RUSLE factors
-          Obtain more data for validation
-          Consider separate eqs for erosion and transport
-          Gully erosion

## Temple Models Using MUSLE

- ALMANAC
- APEX
- EPIC
- SWAT
# Presentation: 207874

## Comparative Genomics and Microarrays

**D-ENCODE workshop**
**Bethesda, MD  December 5, 2004**

- Justen Andrews/Peter Cherbas: 		   	DGRC
- Steve Russell:				    	INDAC
- Mel Kronick/Scott Harrison/Julia Zeitlinger:	   	Agilent
- John Manak/Victor Semetchenko:		   	Affymetrix
- Kevin White:				   	Nimblegen
- Eric Pleshko:				   	Illumina
- Teri Markow/Thom Kaufman:		   	Species update

## What do we want to find?

- Genes (transcripts and ncRNAs)
- Gene structures, incl. alternative splicing
- Proteins, incl. modifications
- Functional variants (SNPs, haplotypes)
- Chromatin features
- Replication elements
- Other ECEs (evolutionary conserved elements)

## Polymorphism and Diversity matter

- The 12 new genome sequences are an essential resource, and will inform us how to use comparative mammalian sequences to annotate the human genome
- One third of all fly genes are in the other species, if 10% of the genes in each of 5 “clades” are “orphans”
- A Drosophila Phenome Diversity Project: Establish 50 lines of each species for genetic analysis
- A major model species-ENCODE advantage for flies it that we have an active community of population and quantitative geneticists
- Gene annotation includes annotation of natural genetic variants, not just Mendelian mutations
- On microarrays, polymorphism affects hybridization, affects inference of transcript abundance or protein binding

## Annotation needs to be dynamic

- Assigning orthology is just a first step toward annotation
- The function of most genes is context dependent, both among tissues and among species
- Therefore, we need genomic methods not just for performing multiple sequence alignments, but also for exploring the patterns and covariance of gene expression
- As well as proteomic and metabolomic components

## What resources do we have?

- 12 genomes for phylogenetic footprinting and comparative transcriptome analysis
- Commercial and community microarrays
- Population and quantitative geneticists
- Genotyping, MS/MS, tilling, etc capacity
- Unparalleled tools for genetic analysis
- Complexity (heterochromatin, gene structure, tissues)

## Some Issues for discussion

- Balance between commercial and community microarray resources
- How much to include the other species: which species, and how much diversity?
- Centralization vs investigator-initiated research
- Integration of high-throughput with genetic analysis
# Presentation: 400203

## Space Microbiology

**Space Microbiology**

**Long & Short Duration Missions**

**D. L. Pierson, Ph.D.**
**NASA / Johnson Space Center**
**Houston, TX**

## Immune Responses to Space Flight

**Immune Responses to Space Flight**

**Reduced Blastogenic Response**
**Decreased CMI (skin) Test Response**
**Altered Cytokine Production**
**Decreased NK Cell Function**
**Variable Changes in Immunoglobulin**
**Changes in Circulating Leukocyte Population**
**increased granulocytes**
**decreased lymphocytes**
**variable changes in monocytes**
**altered subpopulations**

## Factors Increasing Disease Risk

**Factors Increasing Disease Risk**

**Crowded Living Conditions **
**Closed-Loop Environment (Water/Air)**
**Reduced Capability for Personal Hygiene**
**Limited Clean-up and Disinfection Capability**
**Inability to Isolate Contagious Crewmember**
**Limited Treatment Capability and Crew Return**
**Altered Immune Response **

## Infectious Disease Risk

**Infectious Disease Risk**

**PREVENTIVE MEASURES**

** ****Immunization**
** ****Quarantine**
** ****Antimicrobials**
** ****Environmental Monitoring**
** ****Preflight Crew Physical Exams**

**MAJOR RISKS**

** ****Urinary Tract Infections**
** ****Skin Infections**
** ****Latent Viral Reactivation**
** ****Gastrointestinal Distress**

## STS Mission Profile

**STS Mission Profile**

**Viral Serology**

**Food Analysis**

**Orbiter Evaluation**

**Crew Evaluation**

_**Microbiology**_

_**Water Analysis**_

**Orbiter**

**ACTIVITIES**

**L-90**

**Post  **

**Servicing**

**L-2**

**L-10**

**L-30**

**R+0**

**L-2**

**L-15**

**IN-FLIGHT**

**PREFLIGHT**

**POSTFLIGHT**

## Quantitation of Microorganisms Isolated from Spacecraft Air During STS-58

**Quantitation of Microorganisms Isolated from Spacecraft Air During STS-58**

## Bacterial Species Isolated During 16 Space Shuttle Missions

**Bacterial Species Isolated During 16 Space Shuttle Missions**

## Fungal Species Isolated During 16 Space Shuttle Missions

**Fungal Species Isolated During 16 Space Shuttle Missions**

## Crew Microbiology:  Space Shuttle Program

**Crew Microbiology:  Space Shuttle Program**

** ****Nose**
** ****Throat**
** ****Urine**
** ****Feces**

** ****Bacteria**
** ****Fungi**
** ****Viruses**
** ****Parasites**

**L-10**

**Landing**

**L-2**

**Launch**

**R+0**

## Mir In-Flight Water Results

**HOT**

**COLD**

**SVO-ZV**

**Mir In-Flight Water Results**
**Microbial Total Counts**

**Colony Forming Units/100 mL**

**Upper**
**Detection**
**Limit**

**US**
**Acceptability **
**Standard**

**Mir **
**18**

**Mir **
**19**

**NASA**
**2**

**NASA 3**

**NASA 4**

**NASA**
**6**

**NASA**
**7**

**0**

**50**

**100**

**150**

**200**

**250**

**300**

**350**
# Presentation: 778177

## FDA/CBER Role in Smallpox Vaccine Safety 

- Bob Ball, MD, MPH, ScM
- Chief, Vaccine Safety Branch
- Office of Biostatistics and Epidemiology
- CBER, FDA
- January 23, 2003

## FDA/CBER Role in Smallpox Vaccine Safety

- Office of Biostatistics and Epidemiology
- Vaccine Safety Branch
- VAERS
- Follow-up
- Controlled Studies of Safety Concerns

## Smallpox Vaccine Safety Mission:  Vaccine Safety Branch

*To rapidly detect and rigorously research safety problems for licensed vaccines and to facilitate regulatory and risk communication actions to mitigate these problems*
- Information obtained from smallpox vaccine safety surveillance and research can influence development of next generation vaccines

## Smallpox Vaccine Safety Surveillance Through VAERS

- Collaborative effort with CDC
- Review smallpox vaccine adverse event reports on a daily basis
- Analyze VAERS data, conduct follow-up  and controlled studies to evaluate safety concerns
- Communicate results to health professionals and public

## Smallpox Vaccine Safety Viral Determinants of Virulence Project PI: Ann McMahon MD, MPH

- Hypothesis:  Vaccinia virus genotype is associated with virulence in humans and mice
- Study Design
- Obtain swabs of lesions from cases of eczema vaccinatum and vaccinia necrosum (~10-20 cases among 500,000 vaccinees)
- Compare sequences of viral isolates from cases and 20 controls to investigate possible genetic polymorphisms
- Study virulence of viral isolates from cases and 20 controls by murine inoculation
- Use information for making safer next generation smallpox vaccine

## FDA/CBER Smallpox Vaccine Safety Contacts

- OBE/Vaccine Safety Branch
- Bob Ball MD, MPH, ScM
- BallR@cber.fda.gov
- Ann McMahon MD, MPH
- McMahon@cber.fda.gov
- Phone:  301-827-3974
- Fax:      301-827-3529
- OVRR 301-827-	0655
- OBRR  301-827-3518
- http://www.fda.gov/cber/vaccines.htm
# Presentation: 081607

## Welcome to ROOT2001

- Jeff Kallenbach

- Jeff Kallenbach

## ROOT2001 Overview 

- 9 Sessions
- 100 Registered Attendees, from 25 experiments
- 40 Presenters
- Full program, with discussion built-in
- CD’s, manuals for registered participants
***http://www-root.fnal.gov/root2001***

- Jeff Kallenbach

## Wednesday Sessions - Auditorium

**Session 1 – What’s new with ROOT? **
**Philippe Canal**
**Session 2 – ROOT At The Experiments**
**Suzanne Panacek**
**Session 3 – ROOT and Other Packages**
** ****Pasha Murat**

- Jeff Kallenbach

## Thursday Sessions – WH1W

**Session 4 - ROOT and Data Management**
**Qizhong Li**
**Session 5 - ROOT In New Models **
**Valery Fine**
**Session 6 - New Models/Simulation**
**Hans Wenzel**
**Evening Social Event – FNAL Cafeteria**

- Jeff Kallenbach

## Friday Sessions – WH1W

**Session 7 - ROOT on the Web**
**George Irwin**
**Session 8 – Panel - The Future of HEP Computing, and ROOT’s place there**
**Bob Jacobsen **
***Invited Speaker - Matthias Kasemann***
**Session 9 - Summary and wrap-up**
**Philippe Canal**

- Jeff Kallenbach
# Presentation: 246352

- <date/time>

- <footer>

- Jane Powers
- EH-43
- May 1, 2006

- Performance Measures: Status Report on Implementation

## Performance Measures - Drivers

- New goals in 450.1, Chg 2
- Strategies are included along with goals
- Focus on integration of P2/SES with EMS
- “Voluntary” federal environmental initiatives (i.e., FEC) also included
- IG Audit
- EH committed to developing and implementing performance measures

## Performance Measures – Drivers

- Office of Management and Budget (OMB)  Scorecard
- White House will use this scorecard to track how well departments and agencies are implementing new initiatives
- New P2 Goals are well-aligned with the scorecard

- Green Building/Sustainable Design
- Electronics Assets (i.e., FEC)
- Compliance Management Plan

- Environmental Management Systems
- Environmental Preferred Purchasing

## Performance Measures: Content

- Circulated draft for informal field comment March 2006
- No substantive disagreement over content but have made some changes
- Some discussion over terminology (reporting elements vs. performance measures)
- PM’s largely address the relevant OMB score

## Performance Measures:  Content

- Changes:
- For yes/no questions, add Comment box for explanation
- Describe sanitary waste reporting as waste "disposed" versus "generated“
- Deleted first question of whether goal was identified as significant aspect
- Deleted details in budget question

## Performance Measures:  Content 

- Reporting for Electronics Components
- standard weights for electronics under FEC
- authorized by the EPA
- translate numbers of components into gross weights
- CPUs - 27 lbs
- Laptop - 7 lbs
- Printers - 15 - 70 lbs (all depends on size)
- contact Jeff Eagan at 202 586-4598

## Performance Measures: Process

- Performance Measures into REVCOM May-June
- Proceeding with the content changes discussed
- An appendix to **DOE M 231.1, ES&H Reporting Manual**
- REVCOM process will take about 2 months
- DOE M 231.1 already establishes that Heads of HQs and Field Elements must ensure that information is reported annually

## Transition Process

- Pollution Prevention Reporting and Tracking System will be changed to cover the new Performance Measures
- Expect that sites will transition to the new reporting content as soon as practicable
- Best effort to comply with the new items for 2006 data call in October
- Be prepared to fully comply with 2007 call
# Presentation: 000986

- Michael E. Mayfield
- Director, Division of Engineering
**April 24, 2006**

- Generic Letter 2006-02

***Grid Reliability and the Impact on Plant Risk and the Operability of Offsite Power***

## Generic Letter 2006-02

- Tools NRC uses to communicate with licensees:
**Information Notices**
**Regulatory Issue Summaries**
**Generic Letters**
**Bulletins**
**Orders**

**Generic Letter 2006-02**

*Grid Reliability and the Impact on Plant Risk and the Operability of Offsite Power*

## Generic Letter 2006-02

**What is the process for issuing ****a Generic Letter?**
**Why did the NRC issue a Generic Letter on grid reliability?**

**Generic Letter 2006-02**

*Grid Reliability and the Impact on Plant Risk and the Operability of Offsite Power*

## Grid Reliability Generic Letter Status

**April 6, 2005,**** Draft Generic Letter issued for public comment**
**January 9 and 10, 2006,**** Federal Energy Regulatory Commission (FERC) participated in NRC public workshop on draft Generic Letter**
**February 1, 2006,**** Issued Generic Letter**
**February 16, 2006,**** FERC issued Interpretive Order**
**April 3, 2006,**** Received Generic Letter responses **

## Focus of Generic Letter 2006-02

**Generic Letter focused on Licensees’ capability to:**
**Monitor grid conditions to determine the operability of offsite power systems**
**Incorporate grid conditions in the assessment and management of risk-associated maintenance**
**Evaluate site-specific increases in loss of offsite power frequency and impact on ****station blackout**** **

## Other Activities

**Performed assessments of operational readiness of offsite power for nuclear power plants**
**Temporary Instruction 2515/165 [ML060550258]**
**Issued a generic communication to inform licensees of a recent NRC study on loss of offsite power events **
**Information Notice 2006-06 [ML053200013**
**NUREG/CR-6890 ****[ML060200477, ML060200479, ML060200510]**

## Current Assessment

**Preliminary results of NRC assessments of operational readiness of offsite power for nuclear power plants**
**Initial assessment of Generic Letter responses**
# Presentation: 319630

## QuarkNet Mentor Orientation

- Fermi National Accelerator Laboratory
- Batavia, Illinois
- 23 April 2003

- Thomas Jordan, FNAL
- Beth Beiersdorf, University of Notre Dame
- Kenneth Cecire, Hampton University
- Andria Erzberger, LBNL
- Patrick Mooney, University of Notre Dame

- 1

## The QuarkNet Leadership Team

**FNAL**
**M. Bardeen**
**T. Jordan**
**Hampton University**
**K. Baker**
**K. Cecire**

- 2

**LBNL**
**M. Barnett**
**A. Erzberger**
**Notre Dame**
**R. Ruchti**
**B. Beiersdorf**
**P. Mooney**

## Our Vision

- A large population (~700 nationally) of physics teachers who:

- Have worked closely with you on your work
- Have gained the excitement of doing science
- Will help students learn physics by exploring with them
- Will help train the researchers needed for 21st century physics
- Will help other students appreciate the machinery of science

## Kansas State University

- Purdue University

- Beth Beiersdorf

- University of California-LA
- University of California-SD
- University of Hawaii

- Andria Erzberger

- Florida International University

- Tom Jordan

- Georgia State University
- University of Puerto Rico

- Ken Cecire

## Active Centers

## Evaluation

- Designed to:
- 	inform program design
- 	evaluate outcome attainment
- 	assess developed materials

- Your role(s):
- assist in data collection
- provide observations
- share anecdotes

## Summary

- We have an ambitious goal:
- To change the face of teaching physics (science) in a large number of classrooms across the country.

- We welcome you into our collaboration. You are going to help us reach those goals.
# Presentation: 781696

## Surround Yourself With The Best People

-  &
- Let Them Have      Your Way

## Logan*

- Logan*

- SLC*

## Cache Valley

- 100,000 People
- • Half in Logan,
- • Half in more
-    than 18 mostly
-    rural cities and towns
- Utah State University
- Roughly 50 miles by 15 miles

## Cache Valley

- Geologists sayCache Valley is long overdue fora large earthquake. It is also vulnerable to floods, wildland fires and terrorism

**Notes:**
We are also vulnerable to other disasters including floods, wildland fires and terrorism (history: animal rights groups and environmentalists)

## Step 1: 

- Get To Know     Your Community’s Systems

## Hospitals

- Logan Regional Hospital
- 23 E.D. beds
- Surge: 35 critical/serious patients

- Cache Valley
- Specialty Hospital
- 6 E.D. beds
- Surge: 7 critical/serious patients

## Pre-Hospital (Fire-EMS)

- _Logan Fire Department_
- The only department staffed 24/7
- Provides:
- • Countywide ambulance
-    transportation
- • Countywide paramedic service

## Pre-Hospital (Fire-EMS)

- _First Responders_
- 12 volunteer units throughout
- the county
- • 10 Basic Life Support units
- • 2 Advanced Life Support units
- _Support_
- • County EMS Coordinator
- • County EMS Council

## Others

- • County Emergency Management
-    Coordinator (Sheriff’s Office)
- • Private care providers
- • American Red Cross
- • Utah State University and
-    Bridgerland Applied Technology
-    College
- • Utah Department of Health / SNS

## Steering Committee

*Steering Committee*

- Step 2:
- Ask Them To Help You

## Catalyst

- • Mass casualty protocols
- • Strategic National Stockpile

## Step 3:

- Let Them Have Your Way

- An Example

## Mike Weibelmweibel@utah.gov

**Notes:**
Commitment: 1 orientation, annual 1-day training, be willing and able to respond.
# Presentation: 302183

## “SMART” AND “OBEDIENT” SOLVENTS AND CATALYSTS

**A “smart” solvent** **or catalyst** is one that will automatically change its nature when circumstances require it to do so*.*
*	**	**	**	**	**(pioneering work by Bergbreiter)*
**An “obedient” solvent** **or catalyst** is one that will reversibly change its nature when triggered to do so by the operator.
- _	__The “trigger” could be:__	__	__	__	_
- 	• a temperature rise
- 	• application of a gas
- 	• irradiation with light
- _	__The change in a solvent could be:_
*	*• fluorophobic/fluorophilic
- 	• protic/aprotic
- 	• polar/nonpolar
- 	• volatile/nonvolatile
- _	__The change in a catalyst could be:_
*	*• homogeneous/heterogeneous

## A FLUOROPHOBIC/FLUOROPHILIC SWITCH

- +

- cyclohexane

- Rh2(O2CRf)4(MeOH)2

- Rf = (CF2)9F

- Jessop et al., *Inorg. Chem.*, 2002.

## SEARCHING  FOR  A NONPOLAR/POLAR SWITCH

- Jessop et al., *In progress*

- Iwatani, *J. Japan Petrol. Inst.,* 1978

**Notes:**
toluene yellow
THF yellow green
CH2Cl2 green
acetone green/blue
IPA blue
EtOH violet
MeOH red
MeOH/H2O orange
[bmim]BF4
# Presentation: 705254

## Source: National Science Foundation, Division of Science Resources Statistics Graduate Students and Postdoctorates in Science and Engineering: Fall 2006 (NSF 08-306), Table 2. Graduate students in science, engineering, and health fields in all institutions, by field: 1975–2006

**Source:** National Science Foundation, Division of Science Resources Statistics *Graduate Students and Postdoctorates in Science and Engineering: Fall 2006 (NSF 08-306)*, Table 2. Graduate students in science, engineering, and health fields in all institutions, by field: 1975–2006
# Presentation: 716900

## Singleton selection protocol

- ~56,000 ESTs

- Phrap assembly

- Contigs

- Unassembled ESTs

- Select one EST from each contigs, wheat EST preferred

- Remove undesirable sequences, including contaminated sequences, retrotranspsons, sequences similar to mapped bcd/cdo clones and ESTs from libraries with low quality

- Rearray selected ESTs to 384-well plates

- Expand each 384-well plate to four 96-well plates

- Plasmid DNA preps

- 5’ sequencing

- 3’ sequencing

- PCR amplification

- Run gel to estimate insert size

- Estimate concentration

- Bioinformatics

- Lab

- BLASTX/N

## Sequence processing and manual editing

- Validate new 5’ sequence to confirm each EST’s original identity by comparing with original 5’ sequence

- Identify unique ESTs by comparing both validated 5’ sequence and 3’ sequence to both cumulative 5’ sequence and 3’ sequence reference files*

- Clones pass validation process and have single PCR band amplified are sent out as probes

- * 5’ reference file is constructed by combining all the 5’ sequences for probes sent out previously, newly identified 5’ probe sequences are appended after each round of validation process.  Same procedure goes for 3’ reference file.

- Bioinformatics

- Lab

## Pre-screening of Singleton Candidates

- Query MySQL database for best hits from BLASTX/N search results and their E values

- All ESTs in contigs
- (~36,000 in 6,900 contigs)

- All unassembled ESTs (~20,000)

- Known hits (known functional genes)

- Unknown hits
- (unknown genes and no hits)

- Remove contaminated ESTs with BLAST match to E. coli, phage, rRNA, chl and mt genes, and ESTs from low quality libraries

- Contigs vs. unassembled EST

- Extract fasta file
- (by scripts)

- Self comparison

- bcd/cdo clones

- Known repeats

- Probes sent

- Remove matched ESTs (by scripts)

- Contig known
- ~2,000 ESTs

- Contig unknown
- ~2,500 ESTs

- Unassembled
- EST known
- ~2,500 ESTs

- Unassembled EST unknown
- ~10,000 ESTs

**Total number of singleton candidates ~17,000**

- Known hits (known functional genes)

- Unknown hits
- (unknown genes and no hits)
# Presentation: 776531

## Tipranavir NDA 21-814

-    Antiviral Drugs Advisory Committee
- May 19, 2005

## HIV Drug Resistance 

- Different patient populations
- Naïve subjects harboring resistant virus
- Limited or Intermediate prior treatment with resistance
**Extensive prior treatment with resistance with limited treatment options**

## HIV Drug Resistance in the U.S.

- Treatment-experienced subject cohort  with VL > 500 copies/ml from HIV Cost and Service Utilization Study (Richman, et al, AIDS, 2004)
- Overall resistance was 76%
- 2-class resistance = 48%
- 3-class resistance = 13%

## Prevalence of Estimated HIV Drug Resistance

**Prevalence of Estimated HIV Drug Resistance**

**% of U.S. subjects with drug resistance**

**Drug resistance detected**

**76%**

**71%**

**41%**

**25%**

**48%**

**13%**

- Richman, et el. AIDS. July 2004

## Current State of Therapy for Patients with Limited Treatment Options

- Enfuvirtide(T-20)
- Traditional approval 2004
- Drugs in antiviral pipeline
- Tipranavir
- 2 key studies in a highly treatment experienced population

## Tipranavir 

- Tipranavir

## Tipranavir/r: Trial Design

- Resist 1 and Resist 2
- Open label
- TPV/r + OBR vs CPI/r + OBR
- Amended protocol allowed patients with PI resistant virus to receive a PI-based regimen
- Analyzed as superiority trials
- Escape clause @ week 8 to allow subjects with VF to receive TPV in 1182.17
- Loss of control arm @ week 8

## Tipranavir/r: Patient Population

- Highly treatment experienced
- 3 class experienced
- Median number of 12 prior antiretroviral drugs
- Prior T-20 use in 12%
- Baseline resistance
- 97% of isolates resistant to at least 1 PI
- 95% of isolates resistant to at least 1 NRTI
- 75% of isolates resistant to at least 1 NNRTI

## Tipranavir/r: FDA Presentation

- Efficacy evaluation
- Resistance evaluation
- Exposure-response data
- Drug-drug interactions
- CYP 3A inhibitor
- PgP inducer
- Safety profile
- Hepatoxicity
- Rash
- Hyperlipidemia
- Summary

## NDA 21-814 Review Team

- 	  **Clinical**					**Statistical**
- Jeff Murray					Greg Soon
- Rosemary Johann-Liang			Rafia Bhore
- Andrea James				Susan Zhou
- Melisse Baylor
- Neville Gibbs
**Virology**					**Toxicology**
- Jules O’Rear					James Farrelly
- Lisa Naeger					Anita Bigger
- Kim Struble
**Chemistry**					**Clin. Pharmacology**
- Stephen Miller				Kellie Reynolds
- Ko Yu-lo					Derek Zhang
- 							Jenny J. Zheng
- 							Joga Gobburu
**Project Management**
- Tanima Sinha
# Presentation: 681807

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

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

***Total SARs: 63,155***

## Characterizations of Suspicious Activity for the State of Utah

- 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 Utah**
**For the Period April 1, 1996 through December 31, 2007**

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

***Total SARs: 1,972***

- 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 Utah

**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 Utah

**For the Period January 1, 2007 through December 31, 2007**

**Note: Statistics based on Filer Branch Address**
# Presentation: 632420

**Nanoscale MOD Synthesis of Cermet Film Sensors**
*Relva C Buchanan (PI), University of Cincinnati, NSF-DMR-0407569*

**C**

**Figures**: Microstructure of A) zinconyl-TMA showing nanoparticles in large agglomerates B) Nickel-TMA showing fibrous morphology of connected submicron platelets C) SEM of sintered Ni-ZrO2 composite cermet film on Si substrate with uniform nanoparticle distribution

- Nanostructured thin films and nanoparticle systems, which exhibit high sensitivity to temperature, flow, pressure or strain changes, are in high demand for a variety of automotive, consumer and electronic sensing applications. Such films can be advantageously produced on silicon or like substrates using metallo-organic deposition (MOD) methods. The nanopowder structures shown in figure A and B were prepared from Zr and Ni trimetylacetate (TMA) precursors. To prepare the composite thin films, the powders were dissolved in a unique (propionic acid/amylamine) solvent system, then spin coated onto the silicon substrate, followed by pyrolysis in air at 425C to produce optimal film thickness of 0.8-1.4m. This technique allows for sintering temperatures as low as 650-700C (10-30 min) in reducing atmospheres. The resultant microstructure (figure C) consists of a Ni conducting particulate phase, precipitated from the amorphous deposited film, and uniformly dispersed in zirconia matrix phase. Understanding the materials chemistry, along with developing analytical expressions for the kinetics of phase evolution and film morphology, as related to sensor properties, is a significant focus of this research.

- Connecting Students to Composite Materials Research.
*Relva C Buchanan (PI), University of Cincinnati, NSF-DMR-0407569*

- Several undergraduate students have done senior projects in this ongoing area of sensor and related electroceramics research. The experience not only enhances their professional growth and co-op program work experience but also broadens their understanding  of Materials Engineering, and their interest in graduate education. Students regularly participate in the presentation of posters and talks describing their results. The picture on right (above) shows a graduating senior, who is graduate school bound, giving a poster presentation on his research on nanocomposite structures. Research demonstration are regularly given  to visitors to increase interest in Materials Science and   to aid in recruitment. These visitors include high school and junior high students, their teachers and parents. The picture at lower right shows high school students carrying out experiments on hardness and impact testing of composite materials. These students were part of a week long Summer Materials Camp organized by the Department of Chemical and Materials Engineering. Special groups including minority and women pre-engineering students are continuously recruited and encouraged to tour the labs as prospective students and for general science awareness.
# Presentation: 236313

## Implications of isotopic data from AVE_WIIF for convective transport of water

**Implications of isotopic data from AVE_WIIF for convective transport of water**
**E.J. Moyer, T.F. Hanisco, F.N. Keutsch, D.S. Sayres,       **
**J.M. St. Clair, N.T. Allen, J.R. Spackman, J.B. Smith, **
**R.A. Lockwood, J.G. Anderson**
** **

## Slide 2

**Notes:**
should add borders etc. around slides. probably should brighten the Hoxotope slide (Hoxotope.jpg) in photoshop. Could also use the photo of Tom w/ Hoxotope if that looks better (Hoxotope2.jpg). Make first line of bulleted text hang (is that possible?). This looks messy and wordy now. Pix are centered on page to match the next slide.

## Slide 3

## Atmospheric conditions during AVE_WIIF

## Cloud and cirrus during AVE_WIIF

## Define three distinct atmospheric regions

## Definition is meaningful for other tracers

## Regions correspond to TTL/middleworld 

## Delta D profile is difficult to interpret ...

## ...but plotting against water vapor helps...

## NOW the regions make sense in delta D

## Comparison to Rayleigh model predictions

## Troposphere: follows Rayleigh on all flight days

## Middleworld/TTL:   isotopic enhancement and then evolution along Rayleigh curves...

## Middleworld/TTL:   isotopic enhancement and then evolution along Rayleigh curves...

## Middleworld/TTL:  ...except for occasional light-deltaD anomalies. Why?

## Middleworld/TTL:   aha – because active convection follows Rayleigh curves!

## Slide 18

## Slide 19

## Stratosphere:   variation in data is not noise...maybe have sampled air of different ages

## Stratosphere:   still see variation in overworld (380 K theta and above)

## Stratosphere:    seasonal variation!(But too large to be a Rayleigh process?)

## What can we learn about stratospheric water sources from 18O?

## Isotopically heavy evaporated ice as cause of stratospheric isotope anomaly?

## Mix with very dry and depleted air to match stratospheric deltas and [H2O] ...

## ...and stratospheric water should lie on the mixing line

## ...but that’s not what we observe.

*Stratospheric enhancement NOT from mixing of ice and dry air*
*Isotopic enhancement likely begins in TTL region*

## Conclusions: 

**Conclusions:**** **

**Atmospheric water isotopes are consistent with  expectations and known physics**
**Tropospheric air follows a Rayleigh relationship**
**Middleworld/TTL in midlatitudes shows enhancement, probably from detrained cloud ice**
**Stratosphere at midlatitudes shows hints of some kind of seasonal cycle**
**Stratospheric isotopic enhancement is probably not due to purely stratospheric process**
**	*****(i.e. overshooting convection is not the only culprit)***
**	****	****	****	****and finally ..**
**Intercomparison missions are very useful in bringing new instruments on-board**

## Thank you to:

**Thank you to:**
**Harvard engineering staff**
**NASA Johnson / WB57 program**
**Dyncorp / WB-57 crew**
**AVE_WIIF: Paul Newman, Eric Jensen, Steve Wofsy, Mike Kurylo, Phil deCola  **
# Presentation: 736933

## U.S. Commercial Service MOROCCO

**Doing Business in Morocco **
- Presented by Wifak Rtal Bennani
- 15, June , 2007

## Market Overview

**Morocco is a constitutional Monarchy****.**
**Size: slightly larger than California**
**Population: 33 million, mostly young, **
**GDP per capita:  $1,550.**
**U.S- Morocco FTA was implemented in January 2006**
**One year later, bilateral trade increased by ****44%  to $1.4 billion.**
**U.S exports to Morocco increased by 67 % to $****875,5 million.**
**U.S imports from Morocco increased by 17% to $521,2 million.**

## Market Overview

**While French is the official language for conducting business, Arabic is the administrative language. English is becoming more popular among business leaders.**
** ****Morocco’s revenues rely mainly on ****agriculture: 13.3%**** ****industry: 31.2%**** and ****services: 55.5%****  (tourism, telecommunications).**
**Morocco’s major import partners for 2005 are France 18.2%, Spain 11%, Saudi Arabia 6.8%, Russia 6.8%, Italy 6.1%, China 5.2%, Germany 4.7%. **

## Market overview

**Morocco’s main imports, which reached $21.2 billion in 2006, include aircrafts, crude petroleum, textile fabric, telecommunications equipment, wheat, gas, electricity, transistors and plastics.**
**The main imports from the US in 2006 are: **
**	****	****Aircraft::****	****	****$250 million (+51%)**
**	****	****Machinery : ****	****	****$76 million (+40%)**
** ****	****	****Electrical Machinery: $49 million (+95%)**
** ****	****	****Plastic : ****	****	****$ 46 million (+1112%)**
** ****	****	****Mineral fuel, oil etc: ****	****$ 34 million (+243%)**

## Market overview

## Market Entry Strategy

**Business is done on the basis of relationships. U.S. exporters will need to travel to Morocco frequently to develop and strengthen relationships. **
**Working with a locally based agent or distributor, because of their knowledge of the market and contacts, would enhance business prospects.**
**U.S. exporters need to be patient; everything takes more time to accomplish than what U.S. firms are used to **

## Best Prospects for U.S. Exporters 

** ****Wastewater treatment, **
** ****Tourism Infrastructure & services, **
** ****Medical equipment, **
** ****Telecommunications equipment and services,**
** ****Airport ground support equipment,**
** ****Power generation system,**
** ****Safety and security equipment, **
** ****Solid waste management.**

## Trade events

**AeroExpo****,** (Marrakech, Morocco) October 26-28, 2007
- This show will position Morocco as a regional hub for the Aviation industry and services.
- _http://pge07.events.pennnet.com/fl/content.cfm?NavId=4701&Language=Engl_
**Sifel****, International Exhibition for fruit and Vegetables in Morocco **(Agadir, Morocco) December 6-9, 2007
- http://sifelmorocco.com/EN/
**Agadir Fish Morocco****: International Fishing & Seafood Trade Fair**, (Agadir - Morocco) November 22- 25, 2007
- http://afm.eme-morocco.com/EN/index.php
**International Fair of Agriculture in Morocco (SIAGRIM**), (Meknes- Morocco) in April 2008.

## U.S. Commercial Service

**THANK YOU**
# Presentation: 239052

## MFW

## P-Bar Injection

## MFW

- Latest problems stem from RFT Module loosing phase lock.
- Greg Vogel informs us that the “real rf” is available in MI-10 since they ran optical fiber.
- I will attempt to get a Real 53 MHz connection for the RFT at MI-10.
- May need to retime the bucket delays.

## TFW

## TeV E11 Gate Timing

## FW Integrator Timing

## TFW So Far

- Have re-timed in all three wires for fly spec 2
- Need to check on flies in shot
- 17 pre-injection, p-bar injection tune-up
- 22 proton injection
- 3 P-Bar injection
- 30,31,32,33 flies up the ramp
- 1 start of HEP

## Test Loss Monitor at A0

## Pulsed LED Signal

## A0 Loss Monitor Test

## 36 bunches in Tev

- Unfortunately the PMT is not Powered

## Support For new Wire at A0

- Need
- New Cables to Tunnel
- New Computer
- New VME Chassis
- New Motor Control Hardware
- PMT Power Supply
- Software
- Minor modifications to generic FW code
- Database Changes
# Presentation: 226349

## Tunable Laser for Ground-Based and Airborne Submillimeter RadiometersDeMaria Electro-Optics Systems, Inc.Bloomfield, CT

**ACCOMPLISHMENTS**
- Turn-key, graphical-user-interface, THz laser system
- Absolute-frequency pump lock
- Integrated, compact, laser head
- Integrated gas handling system
- Permanently sealed-off pump laser
- Autonomous operation
**COMMERCIALIZATION**
- Commercial contract in place with telecommunications company for similar system
- Phase III contract in place with JPL for this laser system
- Phase III contract initiated with JPL for non-folded version of the system
- Proposal submitted to Cavendish Laboratory in the UK for similar system

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

- 1995 Phase II, SS5-029; 3/27/00

**Goddard Space Flight Center**

**INNOVATION**
- Integrated, turn-key, Graphical-User-Interface-driven, THz (Far-Infrared) laser system.  Fully-autonomous operation, rugged package

- Points of Contact:
- 	-  NASA - Gordon Chin; 301-286-8649
- 	-  Demaria Electrooptics Systems - Eric Mueller; 860-243-9557

**GOVERNMENT SCIENCE/APPLICATIONS**
- THz Local Oscillators
- THz Receiver Development
- Semiconductor Spectroscopy
- Chemical/Biological Agent Detection
- If successful in obtaining SOFIA instrument funding, modifications will be made in a Phase III to make the laser operational for a SOFIA flight.

***Tunable Laser***
# Presentation: 425087

## Low-Hanging Geospatial Fruit

**Low-Hanging Geospatial Fruit**
**for the **
**Suwannee Drainage Basin**

**Mike Crane**
**USGS EROS Data Center**
**Sioux Falls, SD 57198**
**(605) 594-6041**
**mpcrane@usgs.gov**

## Slide 2

## Landsat Satellite Data

**March 11, 1973**

**May 25, 1975**

**April 17, 1977**

**Landsat Satellite Data**
**1973 - Present**

**April 7, 1979**

## Landsat 7 Enhanced Thematic Mapper

## SPOT Satellite Data

**SPOT Satellite Data**

- Panchromatic

- Multispectral

- SPOT 1    9/18/89

## National Aerial Photography Program (1987-present)   

**National Aerial Photography Program (1987-present)   **
**6** metadata records retrieved

## Digital Orthophoto Quadrangles

**Digital Orthophoto Quadrangles**
**Ellaville SE Quarter Quadrangle**

- January 1, 1994

- December 31, 1998

**Notes:**
Confluence of Withlacoochee R. and Swannee R. at Ellaville, Florida.  Suwannee River State Park lies north of confluence, and Lime Spring is to the east.

## Shuttle Radar Topography Mission

**Shuttle Radar Topography Mission**

- 30 meter resolution

**Notes:**
SRTM data is not complete for the entire US or the world.  Gaps in coverage exist for various parts of the earth including a significant part of the Suwannee River Basin.

## National Elevation Database

**National Elevation Database**

- Best available resolution, usually 30 or 10 meter

**Notes:**
NED data with 11 quads exhibiting “corn-row effect”.  These data sets need to be replaced prior to any modeling.

## Corn Row Effect in DEMs

- Created during manual tagging of elevation data using an analytical stereo plotter.  Area shown is in the upper Hillsborough River Basin.

**Corn Row Effect in DEMs**

## Problem DEMs

**Red = waffle pattern**
**Blue = striped pattern**

## National Land Cover Database 1992

**National Land Cover Database 1992**

**Notes:**
1992 land cover data (22 classes) with HUC boundaries overlaid.

## We are working to understand the process of urbanization in the Tampa Bay watershed and investigating its impact on seagrass and wetland distribution, land use/land cover, surface runoff and water quality, climate modification, resource availability, and its long-term environmental implications.

## Urban Growth & Seagrass Decline

- seagrass

- water

- urban

**1879**

**1940**

**1963**

**1972**

**1992**

**1999**

## Predicted Urban Growth to 2025 

- Predicted Urban Growth to 2025
- (from 1992 trends)

- water

- 50-60% probability urban

- 60-70% probability urban

- 70-80% probability urban

- 80-90% probability urban

- 90-95% probability urban

- 95-100% probability urban

- Existing Urban (1992)

- wetland

## Mapping Imperviousness

**1992**

**2000**

**Change**

## Tampa Percent Imperviousness, 2002 

- Tampa Percent Imperviousness, 2002

## MODIS 1km Satellite Data

**MODIS 1km Satellite Data**

**DAY**

**NIGHT**

## Other Useful Web Sites

- http://nationalmap.usgs.gov
- http://seamless.usgs.gov
- http://gisdata.usgs.net
- http://edc.usgs.gov
- http://www.usgs.gov